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Sample records for learning readiness scale

  1. The factor structure of the self-directed learning readiness scale | de ...

    African Journals Online (AJOL)

    The factor structure of the Self-Directed Learning Readiness Scale (SDLRS) was investigated for Afrikaans and English-speaking first-year university students. Five factors were extracted and rotated to oblique simple structure for both groups. Four of the five factors were satisfactorily replicated. The fifth factor appeared to ...

  2. Interprofessional education and collaborative practice: Psychometric analysis of the Readiness for Interprofessional Learning Scale in undergraduate Serbian healthcare student context.

    Science.gov (United States)

    Milutinović, Dragana; Lovrić, Robert; Simin, Dragana

    2018-06-01

    There is an implicit expectation for medical sciences students to work together effectively as members of health-care team, and interprofessional education is therefore widely accepted. Students' attitudes, which are affected by various factors, have been recognized as the most important predictors of successful implementation of interprofessional education with the aim of developing collaborative practice. The Readiness for Interprofessional Learning Scale has often been used in studies to measure these perspectives. To describe the psychometric properties of the Serbian cross-culturally adapted version of the original Readiness for Interprofessional Learning Scale, to assess the attitudes of undergraduate health science students towards interprofessional education and to evaluate whether a professional group and student characteristics have influence on attitudes towards collaborative practice and shared learning. A descriptive/analytical and comparative cross-sectional study. Faculty of Medicine in Serbia. Nursing and medical students after completed first clinical rotations (n = 257). The Readiness for Interprofessional Learning Scale for assessing attitudes among students towards interprofessional learning, Professional Identity Questionnaire for Nursing Students for assessing professional identity in nursing students, Professional Nursing Image Survey for assessing attitudes of medical students towards the nursing profession, as well as a socio-demographic questionnaire were the instruments used in this research study. The data were analysed using descriptive and inferential statistics. Exploratory factor analysis on 19 items revealed two-factors accounting for 51.1% of the total variance with the internal reliability α = 0.90. The mean total score of the Readiness for Interprofessional Learning Scale was 73.5 (SD = 11.5) indicating that students are ready for interprofessional learning. Nursing students, female students; students in their first

  3. Evaluation of a modified 16-item Readiness for Interprofessional Learning Scale (RIPLS): Exploratory and confirmatory factor analyses.

    Science.gov (United States)

    Yu, Tzu-Chieh; Jowsey, Tanisha; Henning, Marcus

    2018-04-18

    The Readiness for Interprofessional Learning Scale (RIPLS) was developed to assess undergraduate readiness for engaging in interprofessional education (IPE). It has become an accepted and commonly used instrument. To determine utility of a modified 16-item RIPLS instrument, exploratory and confirmatory factor analyses were performed. Data used were collected from a pre- and post-intervention study involving 360 New Zealand undergraduate students from one university. Just over half of the participants were enrolled in medicine (51%) while the remainder were in pharmacy (27%) and nursing (22%). The intervention was a two-day simulation-based IPE course focused on managing unplanned acute medical problems in hospital wards ("ward calls"). Immediately prior to the course, 288 RIPLS were collected and immediately afterwards, 322 (response rates 80% and 89%, respectively). Exploratory factor analysis involving principal axis factoring with an oblique rotation method was conducted using pre-course data. The scree plot suggested a three-factor solution over two- and four-factor solutions. Subsequent confirmatory factor analysis performed using post-course data demonstrated partial goodness-of-fit for this suggested three-factor model. Based on these findings, further robust psychometric testing of the RIPLS or modified versions of it is recommended before embarking on its use in evaluative research in various healthcare education settings.

  4. Iranian Clinical Nurses' Readiness for Self-Directed Learning.

    Science.gov (United States)

    Malekian, Morteza; Ghiyasvandian, Sharzad; Cheraghi, Mohammad Ali; Hassanzadeh, Akbar

    2015-05-17

    Clinical nurses are in need of being able to adapt to the ever-changing environment of clinical settings. The prerequisite for their successful adaptation is to be lifelong learners. An approach for making nurses lifelong learners is self-directed learning. This study was undertaken to evaluate a group of Iranian clinical nurses' readiness for self-directed learning and its relationship with some of their personal characteristics. This cross-sectional descriptive study was conducted in 2014. A random sample of 314 nurses working in three hospitals affiliated to Isfahan Social Security Organization, Isfahan, Iran, was recruited to complete the Fisher's Self-directed Learning Readiness Scale. In total, 279 nurses filled the scale completely. The mean of their readiness for self-directed learning was 162.50±14.11 (120-196). The correlation of self-directed learning readiness with age, gender, marital status, and university degree was not statistically significant. Most nurses had great readiness for self-directed learning. Accordingly, nursing policy-makers need to develop strategies for promoting their self-directed learning. Moreover, innovative teaching methods such as problem solving and problem-based learning should be employed to prepare nurses for effectively managing the complexities of their ever-changing work environment.

  5. e-Learning readiness amongst nursing students at the Durban ...

    African Journals Online (AJOL)

    e-Learning readiness amongst nursing students at the Durban University of ... make the shift from traditional learning to the technological culture of e-Learning at a ... equipment and technological readiness for the change in learning method.

  6. French translation and validation of the Readiness for Interprofessional Learning Scale (RIPLS) in a Canadian undergraduate healthcare student context.

    Science.gov (United States)

    Cloutier, Jacinthe; Lafrance, Josée; Michallet, Bernard; Marcoux, Lyson; Cloutier, France

    2015-03-01

    The Canadian Interprofessional Health Collaborative recommends that future professionals be prepared for collaborative practice. To do so, it is necessary for them to learn about the principles of interprofessional collaboration. Therefore, to ascertain if students are predisposed, their attitude toward interprofessional learning must be assessed. In the French Canadian context such a measuring tool has not been published yet. The purpose of this study is to translate in French an adapted version of the RIPLS questionnaire and to validate it for use with undergraduate students from seven various health and social care programmes in a Canadian university. According to Vallerand's methodology, a method for translating measuring instruments: (i) the forward-backward translation indicated that six items of the experimental French version of the RIPLS needed to be more specific; (ii) the experimental French version of the RIPLS seemed clear according to the pre-test assessing items clarity; (iii) evaluation of the content validity indicated that the experimental French version of the RIPLS presents good content validity and (iv) a very good internal consistency was obtained (α = 0.90; n = 141). Results indicate that the psychometric properties of the RIPLS in French are comparable to the English version, although a different factorial structure was found. The relevance of three of the 19 items on the RIPLS scale is questionable, resulting in a revised 16-item scale. Future research aimed at validating the translated French version of the RIPLS could also be conducted in another francophone cultural context.

  7. Assessing students' readiness towards e-learning

    Science.gov (United States)

    Rahim, Nasrudin Md; Yusoff, Siti Hawa Mohd; Latif, Shahida Abd

    2014-07-01

    The usage of e-Learning methodology has become a new attraction for potential students as shown by some higher learning institutions in Malaysia. As such, Universiti Selangor (Unisel) should be ready to embark on e-Learning teaching and learning in the near future. The purpose of the study is to gauge the readiness of Unisel's students in e-Learning environment. A sample of 110 students was chosen to participate in this study which was conducted in January 2013. This sample consisted of students from various levels of study that are foundation, diploma and degree program. Using a structured questionnaire, respondents were assessed on their basic Internet skills, access to technology required for e-Learning and their attitude towards characteristics of successful e-Learning student based on study habits, abilities, motivation and time management behaviour. The result showed that respondents did have access to technology that are required for e-Learning environment, and respondents were knowledgeable regarding the basic Internet skills. The finding also showed that respondents' attitude did meet all characteristics of successful e-Learning student. Further analysis showed that there is no significant relationshipeither among gender, level of study or faculty with those characteristics. As a conclusion, the study shows that current Unisel's students are ready to participate in e-Learning environment if the institution decided to embark on e-Learning methodology.

  8. E-Learning Readiness in Public Secondary Schools in Kenya

    Science.gov (United States)

    Ouma, Gordon O.; Awuor, Fredrick M.; Kyambo, Benjamin

    2013-01-01

    As e-learning becomes useful to learning institutions worldwide, an assessment of e-learning readiness is essential for the successful implementation of e-learning as a platform for learning. Success in e-learning can be achieved by understanding the level of readiness of e-learning environments. To facilitate schools in Kenya to implement…

  9. Learning Analytics: Readiness and Rewards

    Science.gov (United States)

    Friesen, Norm

    2013-01-01

    This position paper introduces the relatively new field of learning analytics, first by considering the relevant meanings of both "learning" and "analytics," and then by looking at two main levels at which learning analytics can be or has been implemented in educational organizations. Although integrated turnkey systems or…

  10. Analysis of Students' Online Learning Readiness Based on Their Emotional Intelligence Level

    Science.gov (United States)

    Engin, Melih

    2017-01-01

    The objective of the present study is to determine whether there is a significant relationship between the students' readiness in online learning and their emotional intelligence levels. Correlational research method was used in the study. Online Learning Readiness Scale which was developed by Hung et al. (2010) has been used and Trait Emotional…

  11. Measuring attitudes towards interprofessional learning. Testing two German versions of the tool "Readiness for Interprofessional Learning Scale" on interprofessional students of health and nursing sciences and of human medicine

    Directory of Open Access Journals (Sweden)

    Luderer, Christiane

    2017-08-01

    Full Text Available Objective: In order to verify the methodological quality of two versions of a tool for measuring attitudes towards interprofessional learning, we adapted – in terms of translation and scale form – the Heidelberg Version of - RIPLS , a methodologically controversial tool that had been translated into German, and compared both the original and new versions.Method: Three items were reworded and the scale form altered (from five to four levels, leading to the Halle Version that was validated by means of a cognitive pretest (=6. Both questionnaires were completed by students taking the interprofessional degree program in Health and Nursing Sciences (HNS and by students of Human Medicine. The test quality of both tools was examined by analyzing the main components and reliability using the scales allocation of the items as according to Parsell and Bligh .Results: The questionnaires were randomly assembled and distributed to 331 students. The response was =320 (HNS =109; Medicine =211. The Halle Version “RIPLS-HAL” of the questionnaire was completed by =166 and the Heidelberg Version “RIPLS-HDB” by =154. In the main component analysis the data could not depict the scale patterns of the original Australian tool. The reliability values of both the Heidelberg and Halle versions were only satisfactory for the “Teamwork and Collaboration” and “Professional Identity” scales.Conclusions: The German version of the Readiness for Interprofessional Learning Scale has only limited suitability for recording the attitude towards interprofessional learning. The present versions can be regarded as an approach towards developing a more suitable tool.

  12. Emotional Intelligence as a Determinant of Readiness for Online Learning

    Science.gov (United States)

    Buzdar, Muhammad Ayub; Ali, Akhtar; Tariq, Riaz Ul Haq

    2016-01-01

    Students' performance in online learning environments is associated with their readiness to adopt a digital learning approach. Traditional concept of readiness for online learning is connected with students' competencies of using technology for learning purposes. We in this research, however, investigated psychometric aspects of students'…

  13. 75 FR 16763 - Ready-to-Learn Television Program

    Science.gov (United States)

    2010-04-02

    ... DEPARTMENT OF EDUCATION [CFDA Number 84.295A] Ready-to-Learn Television Program AGENCY: Office of Innovation and Improvement, Department of Education. ACTION: Notice inviting applications for new awards for... FR 13515) a notice inviting applications for new awards for FY 2010 for the Ready-to-Learn Television...

  14. 75 FR 18170 - Ready-to-Learn Television Program

    Science.gov (United States)

    2010-04-09

    ... DEPARTMENT OF EDUCATION [CFDA Number 84.295A] Ready-to-Learn Television Program AGENCY: Office of Innovation and Improvement, Department of Education. ACTION: Notice inviting applications for new awards for... FR 13515) a notice inviting applications for new awards for FY 2010 for the Ready-to-Learn Television...

  15. 75 FR 28594 - Ready-to-Learn Television Program

    Science.gov (United States)

    2010-05-21

    ... DEPARTMENT OF EDUCATION [CFDA Number 84.295A] Ready-to-Learn Television Program AGENCY: Office of Innovation and Improvement, Department of Education. ACTION: Notice inviting applications for new awards for... INFORMATION CONTACT: The Ready-to-Learn Television Program, U.S. Department of Education, 400 Maryland Avenue...

  16. External Factors, Internal Factors and Self-Directed Learning Readiness

    Science.gov (United States)

    Ramli, Nurjannah; Muljono, Pudji; Afendi, Farit M.

    2018-01-01

    There are many factors which affect the level of self-directed learning readiness. This study aims to investigate the relationship between external factors, internal factors and self-directed learning readiness. This study was carried out by using a census method for fourth year students of medical program of Tadulako University. Data were…

  17. e-Learning readiness amongst nursing students at the Durban ...

    African Journals Online (AJOL)

    Marilynne Coopasami

    c Centre for Excellence in Learning and Teaching, ML Sultan Campus, Durban University of Technology, Durban ... education, technological and equipment readiness require attention before it can be ... strategy; consider the benefits and disadvantages of e- ... using an appropriate tool to measure e-Learning readiness has.

  18. Students’ Readiness for E-learning Application in Higher Education

    Directory of Open Access Journals (Sweden)

    Atousa Rasouli

    2016-07-01

    Full Text Available The main goal of this research was to investigate the readiness of art students in applying e-learning. This study adopted a survey research design. From three public Iranian Universities (Alzahra, Tarbiat Modares, and Tehran, 347 students were selected by multistage cluster sampling and via Morgan Table. Their readiness for E-learning application was assessed by a self-developed questionnaire. Data analysis was done by indexes of descriptive statistics and one sample t-test. Analysis of results found a significant relationship between the readiness of undergraduate students, graduate students, and post-graduate students to apply E-learning, but there was no significant relationship between students’ readiness and gender, university, and subject. Results revealed that Art students were in a moderate level of readiness for applying E-learning.

  19. The Readiness of Students to Learn Interprofessional Teamwork in Antenatal Care

    Directory of Open Access Journals (Sweden)

    Dina Zakiyyatul Fuadah

    2016-09-01

    Full Text Available Introduction: Indonesia as a developing country have a higher Maternal Mortality Rate (MMR. The prevention efforts is developing interprofessional collaborative practice (IPCP in the level of health care. Collaboration attitudes should start from education level through interprofessional education training and simulation for student. The objective of this study was to analyze the effect of interprofessional education training toward the readiness of students to learn interprofessional teamwork in antenatal care. Methods: Quasi-experimental design (pre test and post test without control with Time-Series Design. Participants used in this study were students of five semester in STIKes Karya Husada Kediri year of 2011/2012 and the number of samples are 60 students. Technique sampling using simple random. The data collected by used questionnaires Readiness Interprofessional Learning Scale (RIPLS and checklist observations using Teamwork Score (TWS. Anova, Friedman test, and Kruskal Wallis was used to statistically analyzed the data. Results: Readiness to learn interprofessional teamwork indicates the value of p = 0.001 thats means there are significant differences between the readiness before and after training IPE. Delta test showed that p value > 0.05 so there is no difference between the three programs study on readiness to learn interprofessional teamwork in antenatal care. Discussion: Interprofessional education training using simulation methods can affect the readiness of nursing, midwifery and nutritionist students for learning interprofessional teamwork in antenatal care. Keywords: interprofessional education, readiness, training and simulations, pre clinics students, antenatal care.

  20. Self-directed learning readiness of Asian students: students perspective on a hybrid problem based learning curriculum.

    Science.gov (United States)

    Leatemia, Lukas D; Susilo, Astrid P; van Berkel, Henk

    2016-12-03

    To identify the student's readiness to perform self-directed learning and the underlying factors influencing it on the hybrid problem based learning curriculum. A combination of quantitative and qualitative studies was conducted in five medical schools in Indonesia. In the quantitative study, the Self Directed Learning Readiness Scale was distributed to all students in all batches, who had experience with the hybrid problem based curriculum. They were categorized into low- and high -level based on the score of the questionnaire. Three focus group discussions (low-, high-, and mixed level) were conducted in the qualitative study with six to twelve students chosen randomly from each group to find the factors influencing their self-directed learning readiness. Two researchers analysed the qualitative data as a measure of triangulation. The quantitative study showed only half of the students had a high-level of self-directed learning readiness, and a similar trend also occurred in each batch. The proportion of students with a high level of self-directed learning readiness was lower in the senior students compared to more junior students. The qualitative study showed that problem based learning processes, assessments, learning environment, students' life styles, students' perceptions of the topics, and mood, were factors influencing their self-directed learning. A hybrid problem based curriculum may not fully affect the students' self-directed learning. The curriculum system, teacher's experiences, student's background and cultural factors might contribute to the difficulties for the student's in conducting self-directed learning.

  1. Students' Readiness for E-Learning Application in Higher Education

    Science.gov (United States)

    Rasouli, Atousa; Rahbania, Zahra; Attaran, Mohammad

    2016-01-01

    The main goal of this research was to investigate the readiness of art students in applying e-learning. This study adopted a survey research design. From three public Iranian Universities (Alzahra, Tarbiat Modares, and Tehran), 347 students were selected by multistage cluster sampling and via Morgan Table. Their readiness for E-learning…

  2. Reflections on e-Learning Readiness in Albanian Education

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    Ezmolda Barolli

    2009-01-01

    Full Text Available Nowadays e-Learning has been identified to be the future of learning worldwide since the very powerful platform of the Internet has accelerated the speed of communication. Adoption of e-learning has become the latest trend across universities all over the world. Albania is part of a global shift from material resources to knowledge and intellectual resources as the basis for economic growth. Educators across Albania are aware that students must have an education that enables the students to participate successfully in and contribute to the knowledge economy. E-Learning readiness is an initial part of e- Learning development. In order to benefit from e-learning, higher education institutions in Albania should conduct considerable up-front analysis to assess their readiness. In this paper we are trying to examine the status of e-Learning readiness in Albania, analyzing and discussing several components and criteria based on literature.

  3. Assessing Approaches to Learning in School Readiness

    Directory of Open Access Journals (Sweden)

    Otilia C. Barbu

    2015-07-01

    Full Text Available This study examines the psychometric properties of two assessments of children’s approaches to learning: the Devereux Early Childhood Assessment (DECA and a 13-item approaches to learning rating scale (AtL derived from the Arizona Early Learning Standards (AELS. First, we administered questionnaires to 1,145 randomly selected parents/guardians of first-time kindergarteners. Second, we employed confirmatory factor analysis (CFA with parceling for DECA to reduce errors due to item specificity and prevent convergence difficulties when simultaneously estimating DECA and AtL models. Results indicated an overlap of 55% to 72% variance between the domains of the two instruments and suggested that the new AtL instrument is an easily administered alternative to the DECA for measuring children’s approaches to learning. This is one of the first studies that investigated DECA’s approaches to learning dimension and explored the measurement properties of an instrument purposely derived from a state’s early learning guidelines.

  4. E-Learning Readiness in Medicine: Turkish Family Medicine (FM) Physicians Case

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    Parlakkiliç, Alaattin

    2015-01-01

    This research investigates e-learning readiness level of family medicine physicians (FM) in Turkey. The study measures the level of e-learning readiness of Turkish FM physicians by an online e-learning readiness survey. According to results five areas are ready at Turkish FM physicians but need a few improvements:…

  5. The relationship between assessment methods and self-directed learning readiness in medical education.

    Science.gov (United States)

    Monroe, Katherine S

    2016-03-11

    This research explored the assessment of self-directed learning readiness within the comprehensive evaluation of medical students' knowledge and skills and the extent to which several variables predicted participants' self-directed learning readiness prior to their graduation. Five metrics for evaluating medical students were considered in a multiple regression analysis. Fourth-year medical students at a competitive US medical school received an informed consent and an online survey. Participants voluntarily completed a self-directed learning readiness scale that assessed four subsets of self-directed learning readiness and consented to the release of their academic records. The assortment of metrics considered in this study only vaguely captured students' self-directedness. The strongest predictors were faculty evaluations of students' performance on clerkship rotations. Specific clerkship grades were mildly predictive of three subscales. The Pediatrics clerkship modestly predicted critical self-evaluation (r=-.30, p=.01) and the Psychiatry clerkship mildly predicted learning self-efficacy (r =-.30, p=.01), while the Junior Surgery clerkship nominally correlated with participants' effective organization for learning (r=.21, p=.05). Other metrics examined did not contribute to predicting participants' readiness for self-directed learning. Given individual differences among participants for the variables considered, no combination of students' grades and/or test scores overwhelmingly predicted their aptitude for self-directed learning. Considering the importance of fostering medical students' self-directed learning skills, schools need a reliable and pragmatic approach to measure them. This data analysis, however, offered no clear-cut way of documenting students' self-directed learning readiness based on the evaluation metrics included.

  6. Self-directed learning readiness and learning styles among Saudi undergraduate nursing students.

    Science.gov (United States)

    El-Gilany, Abdel-Hady; Abusaad, Fawzia El Sayed

    2013-09-01

    Self-directed learning has become a focus for nursing education in the past few decades due to the complexity and changes in nursing profession development. On the other hand, the Kolb's learning style could identify student's preference for perceiving and processing information. This study was performed to determine Saudi nursing students' readiness for self-directed learning; to identify their learning styles and to find out the relation between these two concepts. Cross-sectional descriptive study. Nursing department of faculty of Applied Medical Sciences, Al-Jouf University, Saudi Arabia. Two hundred and seventy-five undergraduate Saudi nursing students. Data was collected using self-administered questionnaires covering the demographic features of students, Fisher's self-directed learning readiness (SDLR) scale, and the Kolb's learning styles inventory. The mean scores of self-management, desire for learning, self-control and the overall SDLR were 51.3 ± 5.9, 48.4 ± 5.5, 59.9 ± 6.7, and 159.6 ± 13.8; respectively. About 77% (211) of students have high level of SDLR. The percentages of converger, diverger, assimilator and accommodator learning styles are 35.6%, 25.8%, 25.55% and 13.1%; respectively. The mean score of self-management, desire for learning, self-control and overall SDLR scale did not vary with any of the studied variables. There is no association between the level of SDLR and the learning styles. The high level of SDLR and the dominant converger learning style among undergraduate nursing students will have a positive implication for their education and post-employment continuing nursing education. Copyright © 2012 Elsevier Ltd. All rights reserved.

  7. E-Learning Readiness in the Academic Sector of Thailand

    Science.gov (United States)

    Laohajaratsang, Thanomporn

    2009-01-01

    As e-learning in the academic sector serves as a crucial driving force in the development of e-learning in Thailand, this article looks at e-learning readiness in Thailand with a focus on the academic sector. The article is divided into four parts: (1) a brief history of e-learning in Thailand; (2) the infrastructure related to e-learning…

  8. Self-Perception of Readiness to Learn and Self-Efficacy among Nursing Students in an Online Baccalaureate (BSN) Program

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    Cadet, Myriam Jean

    2016-01-01

    This study investigated the relationship between readiness to learn and self-efficacy among newly enrolled BSN students in an online program. A sample of 27 students completed the 45-item Test of Online Learning Success (ToOLS) and 10-item General Self Efficacy (GSE) scales via Survey Monkey. Knowles' (1980) adult learning theory and Bandura's…

  9. Readiness of Adults to Learn Using E-Learning, M-Learning and T-Learning Technologies

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    Vilkonis, Rytis; Bakanoviene, Tatjana; Turskiene, Sigita

    2013-01-01

    The article presents results of the empirical research revealing readiness of adults to participate in the lifelong learning process using e-learning, m-learning and t-learning technologies. The research has been carried out in the framework of the international project eBig3 aiming at development a new distance learning platform blending virtual…

  10. Cultural Responsive Teaching Readiness Scale Validity and Reliability Study

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    Kasım KARATAŞ

    2017-12-01

    Full Text Available The aim of this research is to develop a measurement instrument that will determine the cultural responsive teaching readiness level of teacher candidates. The study group consisted of a total of 231 candidate teachers, of which 83 were males and 148 were females, who were attending their final year of class teacher education programs at various Turkish universities during the 2016-2017 education year. In the first phase, a 33-item draft form was presented to experts to be reviewed. Based on the feedback received, revisions were made and the final scale was applied to a group of 231 candidate teachers. In the analysis of the data obtained as the result of the application, Exploratory Factor Analysis (EFA was performed. The EFA produced 21 items within a two-factor structure as, “Personal Readiness” and “Professional Readiness.” It was observed that the sub-factors were components of the “cultural responsive teaching readiness” dimension, and that the goodness of fit measures obtained as a result of the First and Second Level Confirmatory Factor Analyzes (CFA were high. In addition, reliability coefficients were found to be high as a result of reliability measurements. With the help of these findings, this study concludes that the Cultural Responsive Teaching Readiness scale is both valid and reliable.

  11. Observational Learning on Industry Work Practices toward Job Readiness

    Science.gov (United States)

    Rojuli, Subkhan; Rahayu, Agus; Disman

    2017-01-01

    This research aims to find out the influence of observational learning on job readiness based on some indicators and variables. This is a quantitative research in which Structural Equation Modeling (SEM) was used. The research method is survey. The participants of this research are the Grade XII students of Accountancy Department of State…

  12. Readiness for self-directed learning: How bridging and traditional nursing students differs?

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    Alharbi, Homood A

    2018-02-01

    The dean of the nursing college has an initiative to reform the BSN program in the college to minimize the use of lecturing and maximize interactive and lifelong learning. Appropriate assessment of how our students are prepared to be self-directed learners is crucial. To compare traditional and bridging students in regard to their SDLR scores in the nursing college in Saudi Arabia. This was a comparative study to compare traditional and bridging students in regard to their self-directed learning readiness scores (SDLR). The data was collected at the Nursing College, King Saud University, Riyadh, Saudi Arabia. A convenient sample of undergraduate nursing students at the sixth and eighth levels in both regular and bridging programs were recruited in this study to indicate their SDLR scores. The study used Fisher et al.'s (2001) Self-Directed Learning Readiness Scale to measure the self-directed learning readiness among undergraduate nursing students. The total mean score of SDLR was 144 out of 200, which indicated a low level of readiness for SDL. There were significant variations between the included academic levels among participants. Students in the sixth academic level scored higher in the total SDLR scores compared to eighth-level students. There were no significant variations with gender and program types in the total SDLR scores. A comprehensive plan is needed to prepare both faculty members and students to improve the SDL skills. Copyright © 2017 Elsevier Ltd. All rights reserved.

  13. The Association of Readiness for Interprofessional Learning with empathy, motivation and professional identity development in medical students.

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    Visser, Cora L F; Wilschut, Janneke A; Isik, Ulviye; van der Burgt, Stéphanie M E; Croiset, Gerda; Kusurkar, Rashmi A

    2018-06-07

    The Readiness for Interprofessional Learning Scale is among the first scales developed for measurement of attitude towards interprofessional learning (IPL). However, the conceptual framework of the RIPLS still lacks clarity. We investigated the association of the RIPLS with professional identity, empathy and motivation, with the intention of relating RIPLS to other well-known concepts in healthcare education, in an attempt to clarify the concept of readiness. Readiness for interprofessional learning, professional identity development, empathy and motivation of students for medical school, were measured in all 6 years of the medical curriculum. The association of professional identity development, empathy and motivation with readiness was analyzed using linear regression. Empathy and motivation significantly explained the variance in RIPLS subscale Teamwork & Collaboration. Gender and belonging to the first study year had a unique positive contribution in explaining the variance of the RIPLS subscales Positive and Negative Professional Identity, whereas motivation had no contribution. More compassionate care, as an affective component of empathy, seemed to diminish readiness for IPL. Professional Identity, measured as affirmation or denial of the identification with a professional group, had no contribution in the explanation of the variance in readiness. The RIPLS is a suboptimal instrument, which does not clarify the 'what' and 'how' of IPL in a curriculum. This study suggests that students' readiness for IPE may benefit from a combination with the cognitive component of empathy ('Perspective taking') and elements in the curriculum that promote autonomous motivation.

  14. Electronic learning readiness assessment of Nigerian Undergraduates

    African Journals Online (AJOL)

    learning. Two hypotheses were evolved to give direction to this study. The study was a pilot study and the University of Lagos was purposively selected. It was targeted at undergraduate students of the University of Lagos. A simple random ...

  15. Are Academics Ready for Smart Learning?

    Science.gov (United States)

    Raghunath, Riyukta; Anker, Connie; Nortcliffe, Anne

    2018-01-01

    Ownership of smartphones and tablets among the student population is growing. Students are using their devices to support their learning. Employers and employees are increasingly bringing their own smart devices into private and public organisations to support their business. This is leading to employees driving the Bring Your Own Device (BYOD)…

  16. Investigating the Relationship Between Self-Directed Learning Readiness and Time Management Skills in Turkish Undergraduate Nursing Students.

    Science.gov (United States)

    Ertuğ, Nurcan; Faydali, Saide

    The aims of this study were to determine self-directed learning and time management skills of undergraduate nursing students and to investigate the relationship between the concepts. The use of self-directed learning has increased as an educational strategy in recent years. This descriptive and correlational study was conducted with 383 undergraduate nursing students in Turkey. Data were collected using a sociodemographic questionnaire, the Self-Directed Learning Readiness Scale, and Time Management Questionnaire. Mean scores were as follows: self-directed learning readiness, 159.12 (SD = 20.8); time management, 87.75 (SD = 12.1). A moderate positive correlation was found between self-directed learning readiness and time management values. Time management scores were 78.42 when self-directed learning readiness was ≤149 and 90.82 when self-directed learning readiness was ≥ 150, with a statistically significant difference (p = .000). Level of self-directed learning and academic achievement were higher in students who managed their time well.

  17. An Exploratory Factor Analysis and Reliability Analysis of the Student Online Learning Readiness (SOLR) Instrument

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    Yu, Taeho; Richardson, Jennifer C.

    2015-01-01

    The purpose of this study was to develop an effective instrument to measure student readiness in online learning with reliable predictors of online learning success factors such as learning outcomes and learner satisfaction. The validity and reliability of the Student Online Learning Readiness (SOLR) instrument were tested using exploratory factor…

  18. Structural Equation Modeling towards Online Learning Readiness, Academic Motivations, and Perceived Learning

    Science.gov (United States)

    Horzum, Mehmet Baris; Kaymak, Zeliha Demir; Gungoren, Ozlem Canan

    2015-01-01

    The relationship between online learning readiness, academic motivations, and perceived learning was investigated via structural equation modeling in the research. The population of the research consisted of 750 students who studied using the online learning programs of Sakarya University. 420 of the students who volunteered for the research and…

  19. Relationship between Online Learning Readiness and Structure and Interaction of Online Learning Students

    Science.gov (United States)

    Demir Kaymak, Zeliha; Horzum, Mehmet Baris

    2013-01-01

    Current study tried to determine whether a relationship exists between readiness levels of the online learning students for online learning and the perceived structure and interaction in online learning environments. In the study, cross sectional survey model was used. The study was conducted with 320 voluntary students studying online learning…

  20. CRITICAL COMPONENTS OF ONLINE LEARNING READINESS AND THEIR RELATIONSHIPS WITH LEARNER ACHIEVEMENT

    Directory of Open Access Journals (Sweden)

    Harun CIGDEM

    2016-04-01

    Full Text Available This study aimed to examine the relationship between certain factors of online learning readiness and learners’ end-of-course achievements. The study was conducted at a two-year post-secondary Turkish military school within the scope of the course titled Computer Literacy, which was designed and implemented in a blended way. The data were collected from 155 post-secondary military students through an online questionnaire. Three sub-scales of Hung et al.’s Online Learning Readiness Scale were used to collect the data during the first two weeks of the course. Descriptive and inferential statistics, such as Pearson correlation coefficients and linear regression analyses were performed to analyze the data. The descriptive results of the study indicated that students’ motivation for online learning was higher than both their computer/Internet self-efficacy and their orientations to self-directed learning. The inferential results revealed that the students’ end-of-course grades had significantly positive relationships with their computer/Internet self-efficacy and self-directed learning orientations. Finally, the students’ self-direction towards online learning appeared to be the strongest predictor of their achievements within the course; whereas computer/Internet self-efficacy and motivation for learning did not predict the learner achievement significantly.

  1. On the Effects of Organizational Culture on E-Learning Readiness: An Iranian Experience

    OpenAIRE

    Seyed Yaghoub Hosseini; Khodakaram Salimifard; Shahrbanoo Yadollahi

    2012-01-01

    An organization’s success in implementing e-learning depends on the supports provided by the organizational culture. This paper is aimed to evaluate the impacts of organizational culture on e-learning readiness. To test the research hypothesis, Beta coefficient test was used. Research results indicated a significant positive impact of Clan and Adhocracy cultures on e-learning readiness. It was found that Market culture has a negative impact on e-learning readiness. Research findings cannot ...

  2. SEWGS Technology is Now Ready for Scale-up

    Energy Technology Data Exchange (ETDEWEB)

    Jansen, D.; Van Selow, E.; Cobden, P. [Energy research Centre of the Netherlands ECN (Netherlands); Manzolini, G.; Macchi, E.; Gazzani, M. [Politecnico di Milano PTM, Dipartimento di Energia (Italy); Blom, R.; Henriksen, P.P. [SINTEF, Trondheim (Norway); Beavis, R. [BP Alternative Energy (United Kingdom); Wright, A. [Air products PLC (United Kingdom)

    2013-07-01

    In the FP7 project CAESAR, Air Products, BP, ECN, SINTEF and Politecnico di Milano worked together in the further development of the SEWGS process with the objective to reduce the energy penalty and the costs per ton of CO2 avoided to less than 25 euro through optimization of sorbent materials, reactor and process design and smart integration of the SEWGS unit in a combined cycle power plant. The most promising applications for the SEWGS technology are IGCC power plants and in combined cycles power plants fuelled with blast furnace top gas. Extensive sorbent development work resulted in a new sorbent called ALKASORB+ with a high capacity resulting in cost of CO2 avoided for the IGCC application of 23 euro. This is a reduction of almost 40% compared to the Selexol capture case. Since ALKASORB+ requires much less steam in the regeneration, the specific primary energy consumption is reduced to 44% below the specific energy consumption for the Selexol (2.08 versus 3.71 MJLHV/kgCO2). From a technical point of view SEWGS is ready to move to the next development level, which is a pilot plant installation with a capacity of 35 ton CO2 per day. This is over 500 times larger than the current ECN's multi column SEWGS installation, but still 50 times smaller than an envisaged commercial scale installation. The pilot plant will prove the technology under field conditions and at a sufficiently large scale to enable further up-scaling, delivering both the basic design and investment costs of a full scale SEWGS demonstration plant.

  3. Mobile Learning as a Method of Ubiquitous Learning: Students' Attitudes, Readiness, and Possible Barriers to Implementation in Higher Education

    Science.gov (United States)

    Alhassan, Riyadh

    2016-01-01

    The purpose of this study was to explore the attitudes and level of readiness, and possible barriers to implementing Mobile Learning as a part of ubiquitous learning. In addition, the study attempted to find out to what extent students are interested in mobile learning. It also aimed to answer the question regarding the readiness of college…

  4. Analysis of e-learning implementation readiness based on integrated elr model

    Science.gov (United States)

    Adiyarta, K.; Napitupulu, D.; Rahim, R.; Abdullah, D.; Setiawan, MI

    2018-04-01

    E-learning nowadays has become a requirement for institutions to support their learning activities. To adopt e-learning, an institution requires a large strategy and resources for optimal application. Unfortunately, not all institutions that have used e-learning got the desired results or expectations. This study aims to identify the extent of the level of readiness of e-learning implementation in institution X. The degree of institutional readiness will determine the success of future e-learning utilization. In addition, institutional readiness measurement are needed to evaluate the effectiveness of strategies in e-learning development. The research method used is survey with questionnaire designed based on integration of 8 best practice ELR (e-learning readiness) model. The results showed that from 13 factors of integrated ELR model being measured, there are 3 readiness factors included in the category of not ready and needs a lot of work. They are human resource (2.57), technology skill (2.38) and content factors (2.41). In general, e-learning implementation in institutions is in the category of not ready but needs some of work (3.27). Therefore, the institution should consider which factors or areas of ELR factors are considered still not ready and needs improvement in the future.

  5. A cross-sectional study of paramedics' readiness for interprofessional learning and cooperation: results from five universities.

    Science.gov (United States)

    Williams, Brett; Boyle, Malcolm; Brightwell, Richard; McCall, Michael; McMullen, Paula; Munro, Graham; O'Meara, Peter; Webb, Vanessa

    2013-11-01

    Healthcare systems are evolving to feature the promotion of interprofessional practice more prominently. The development of successful and functional interprofessional practice is best achieved through interprofessional learning. Given that most paramedic programmes take an isolative uni-professional educational approach to their healthcare undergraduate courses, serious questions must be raised as to whether students are being adequately prepared for the interprofessional healthcare workplace. The objective of this study was to assess the attitudes of paramedic students towards interprofessional learning across five Australian universities. Using a convenience sample of paramedic student attitudes towards interprofessional learning and cooperation were measured using two standardised self-reporting instruments: Readiness for Interprofessional Learning Scale (RIPLS) and Interdisciplinary Education Perception Scale (IEPS). Students' readiness for interprofessional learning did not appear to be significantly influenced by their gender nor the type of paramedic degree they were undertaking. As students progressed through their degrees their appreciation for collaborative teamwork and their understanding of paramedic identity grew, however this appeared to negatively affect their willingness to engage in interprofessional learning with other healthcare students. The tertiary institute attended also appeared to influence students' preparedness and attitudes to shared learning. This study has found no compelling evidence that students' readiness for interprofessional learning is significantly affected by either their gender or the type of degree undertaken. By contrast it was seen that the tertiary institutions involved in this study produced students at different levels of preparedness for IPL and cooperation. Copyright © 2012 Elsevier Ltd. All rights reserved.

  6. Relationship of Mobile Learning Readiness to Teacher Proficiency in Classroom Technology Integration

    Science.gov (United States)

    Christensen, Rhonda; Knezek, Gerald

    2016-01-01

    Mobile learning readiness as a new aspect of technology integration for classroom teachers is confirmed through the findings of this study to be significantly aligned with well-established measures based on older information technologies. The Mobile Learning Readiness Survey (MLRS) generally exhibits the desirable properties of step-wise increases…

  7. Assessment of Readiness to Participate in Distance Learning of the Certified Florida Behavioral Workforce

    Science.gov (United States)

    Baston, George R.

    2011-01-01

    This research study explored perceptions of readiness to participate in distance learning among the certified behavioral workforce in Florida. The study sought to determine if there were significant differences in perception of readiness to participate in distance learning between certified behavioral health professionals at the administrator…

  8. Self-Directed Learning Readiness among Undergraduate Students at Saudi Electronic University in Saudi Arabia

    Science.gov (United States)

    Alfaifi, Mousa S.

    2016-01-01

    This study aimed to determine the level of self-directed learning readiness (SDLR) among undergraduate students at Saudi Electronic University in Saudi Arabia. Also, investigated were potential relationships between the level of self-directed learning readiness and selected demographic variables such as gender and specific college within the…

  9. Explaining variance in self-directed learning readiness of first year students in health professional programs.

    Science.gov (United States)

    Slater, Craig E; Cusick, Anne; Louie, Jimmy C Y

    2017-11-13

    Self-directed learning (SDL) is expected of health science graduates; it is thus a learning outcome in many pre-certification programs. Previous research identified age, gender, discipline and prior education as associated with variations in students' self-directed learning readiness (SDLR). Studies in other fields also propose personality as influential. This study investigated relationships between SDLR and age, gender, discipline, previous education, and personality traits. The Self-Directed Learning Readiness Scale and the 50-item 'big five' personality trait inventory were administered to 584 first-year undergraduate students (n = 312 female) enrolled in a first-session undergraduate interprofessional health sciences subject. Students were from health promotion, health services management, therapeutic recreation, sports and exercise science, occupational therapy, physiotherapy, and podiatry. Four hundred and seven responses (n = 230 females) were complete. SDLR was significantly higher in females and students in occupational therapy and physiotherapy. SDLR increased with age and higher levels of previous education. It was also significantly associated with 'big five' personality trait scores. Regression analysis revealed 52.9% of variance was accounted for by personality factors, discipline and prior experience of tertiary education. Demographic, discipline and personality factors are associated with SDLR in the first year of study. Teachers need to be alert to individual student variation in SDLR.

  10. Explaining variance in self-directed learning readiness of first year students in health professional programs

    Directory of Open Access Journals (Sweden)

    Craig E. Slater

    2017-11-01

    Full Text Available Abstract Background Self-directed learning (SDL is expected of health science graduates; it is thus a learning outcome in many pre-certification programs. Previous research identified age, gender, discipline and prior education as associated with variations in students’ self-directed learning readiness (SDLR. Studies in other fields also propose personality as influential. Method This study investigated relationships between SDLR and age, gender, discipline, previous education, and personality traits. The Self-Directed Learning Readiness Scale and the 50-item ‘big five’ personality trait inventory were administered to 584 first-year undergraduate students (n = 312 female enrolled in a first-session undergraduate interprofessional health sciences subject. Results Students were from health promotion, health services management, therapeutic recreation, sports and exercise science, occupational therapy, physiotherapy, and podiatry. Four hundred and seven responses (n = 230 females were complete. SDLR was significantly higher in females and students in occupational therapy and physiotherapy. SDLR increased with age and higher levels of previous education. It was also significantly associated with ‘big five’ personality trait scores. Regression analysis revealed 52.9% of variance was accounted for by personality factors, discipline and prior experience of tertiary education. Conclusion Demographic, discipline and personality factors are associated with SDLR in the first year of study. Teachers need to be alert to individual student variation in SDLR.

  11. MEASURING STAFF MEMBERS E READINESS TOWARDS E LEARNING AT EGYPTIAN FACULTIES OF TOURISM AND HOTELS

    Directory of Open Access Journals (Sweden)

    Elsayed Hussein Elsayed Ali

    2010-06-01

    Full Text Available Information and Communication Technology (ICT has made life much different than it was before especially in Education. E learning is becoming increasingly prominent in higher education, with universities increasing provision and more students signing up. E learning in the university context is influenced by a number of factors. However, the researcher particular interest in this paper in the e readiness of the staff memberfor e learning at the Egyptian faculties of tourism and hotels in Fayoum, Menia, Helwan and Alex. This is to the increasing and flexible market that is difficult to research by only traditional education.This research measures the staff members’ e readiness for e learning at the faculties of tourism and hotels in Egypt which influenced by a number of factors and dimensions. These are technical and pedagogical competences, experience scale and attitude Scale but the research will concentrate on the first dimension. This may help Tourism faculties to promote the use of IT in teaching and learning and also apply e learning effectively in these faculties to make qualified students for market work. Data was collected through a questionnaire of 92 staff member (professor, assistant professor and lecturers of tourism studies, hotel management and Tourism Guidance departments. Also this research is based on a basic hypothesis that there is a shortage and insufficient of staff members e readiness for e learning. The paper contains also typical e learning quality framework , SPSS program was used to analyses the data and reach to the finding of this study as frequencies, standard deviation, means, t test per pair between the two dimension pedagogical and technical competencies, also average mean to measure this dimension, also cronbach alpha was made to ensure the reliability, beside the validity was been achieved. The findings have been indicated that the staff member at faculties of tourism and hotels have a good level in pedagogical

  12. An Investigation of Mobile Learning Readiness in Higher Education Based on the Theory of Planned Behavior

    Science.gov (United States)

    Cheon, Jongpil; Lee, Sangno; Crooks, Steven M.; Song, Jaeki

    2012-01-01

    This study investigated the current state of college students' perceptions toward mobile learning in higher education. Mobile learning is a new form of learning utilizing the unique capabilities of mobile devices. Although mobile devices are ubiquitous on college campuses, student readiness for mobile learning has yet to be fully explored in the…

  13. Exploring the need for Transition Readiness Scales within cystic fibrosis services: A qualitative descriptive study.

    Science.gov (United States)

    Bourke, Mary; Houghton, Catherine

    2018-07-01

    To explore healthcare professionals' and patients' perceptions of the potential use of a Transition Readiness Scale in cystic fibrosis care. This included an examination of barriers and facilitators to its implementation along with the identification of key items to include in a Transition Readiness Scale. Due to increasing life expectancy and improved quality of life, more adolescents with cystic fibrosis are transitioning from paediatric to adult health care. To assess and correctly manage this transition, a more structured approach to transition is advocated. This can be achieved using a Transition Readiness Scale to potentially identify or target areas of care in which the adolescent may have poor knowledge. These key items include education, developmental readiness taking into account relationships, reproduction, future plans and self-management skills. Existing tools to gauge readiness concentrate mainly on education and self-care needs assessment as their key items. Currently, there is no specific cystic fibrosis Transition Readiness Scale in use in Ireland or internationally. The study used a descriptive qualitative design. Data were collected using semi-structured interviews (n = 8) and analysed using a thematic approach. The findings identified the potential benefits of this tool and second the resources which need to be in place before its development and implementation into cystic fibrosis services. Transition Readiness Scales have substantial relevance with cystic fibrosis services emphasising the importance of establishing the necessary resources prior to its implementation. These were identified as more staff, a dedicated private space and staff training and education. Significant resources are needed to fully integrate Transition Readiness Scales in practice. The study findings suggest multidisciplinary collaborations, and patient engagement is pivotal in planning and easing the transition process for adolescents with cystic fibrosis. © 2018 The

  14. Measuring E-Learning Readiness among EFL Teachers in Intermediate Public Schools in Saudi Arabia

    Science.gov (United States)

    Al-Furaydi, Ahmed Ajab

    2013-01-01

    This study will determine their readiness level for the e-learning in several aspects such as attitude toward e-learning, and computer literacy also this study attempt to investigate the main the barriers that EFL teachers have to overcome while incorporating e-learning into their teaching. The theory upon which the study was technology acceptance…

  15. Capturing readiness to learn and collaboration as explored with an interprofessional simulation scenario: A mixed-methods research study.

    Science.gov (United States)

    Rossler, Kelly L; Kimble, Laura P

    2016-01-01

    Didactic lecture does not lend itself to teaching interprofessional collaboration. High-fidelity human patient simulation with a focus on clinical situations/scenarios is highly conducive to interprofessional education. Consequently, a need for research supporting the incorporation of interprofessional education with high-fidelity patient simulation based technology exists. The purpose of this study was to explore readiness for interprofessional learning and collaboration among pre-licensure health professions students participating in an interprofessional education human patient simulation experience. Using a mixed methods convergent parallel design, a sample of 53 pre-licensure health professions students enrolled in nursing, respiratory therapy, health administration, and physical therapy programs within a college of health professions participated in high-fidelity human patient simulation experiences. Perceptions of interprofessional learning and collaboration were measured with the revised Readiness for Interprofessional Learning Scale (RIPLS) and the Health Professional Collaboration Scale (HPCS). Focus groups were conducted during the simulation post-briefing to obtain qualitative data. Statistical analysis included non-parametric, inferential statistics. Qualitative data were analyzed using a phenomenological approach. Pre- and post-RIPLS demonstrated pre-licensure health professions students reported significantly more positive attitudes about readiness for interprofessional learning post-simulation in the areas of team work and collaboration, negative professional identity, and positive professional identity. Post-simulation HPCS revealed pre-licensure nursing and health administration groups reported greater health collaboration during simulation than physical therapy students. Qualitative analysis yielded three themes: "exposure to experiential learning," "acquisition of interactional relationships," and "presence of chronology in role preparation

  16. When are nursing students on clinical placements ready to expand their learning repertoire?

    DEFF Research Database (Denmark)

    Holmberg, Marlene; Stisen, Bente Kjærgaard; Grau, Sarah M.

    2018-01-01

    Learning styles indicate an individual’s preferred way of learning. Research suggests that it is important for students on clinical placements to begin the learning process with the preferred learning style and subsequently develop their ability to use other styles and become more balanced learners....... What is unknown is when baccalaureate nursing students are ready to develop the other learning styles, and what facilitates such an expansion in their learning style repertoire? This is important, because students need to develop the abilities to learn both by acting and by deepen their knowledge...... of theory to meet the requirements of the nursing profession. An American study found that operating room students felt confident to adopt new learning styles by the third week of clinical placements. No studies to date have retrieved a similar pattern of readiness to expand learning style repertoire among...

  17. Veterinary students' perceptions of their learning environment as measured by the Dundee Ready Education Environment Measure.

    Science.gov (United States)

    Pelzer, Jacquelyn M; Hodgson, Jennifer L; Werre, Stephen R

    2014-03-24

    The Dundee Ready Education Environment Measure (DREEM) has been widely used to evaluate the learning environment within health sciences education, however, this tool has not been applied in veterinary medical education. The aim of this study was to evaluate the reliability and validity of the DREEM tool in a veterinary medical program and to determine veterinary students' perceptions of their learning environment. The DREEM is a survey tool which quantitatively measures students' perceptions of their learning environment. The survey consists of 50 items, each scored 0-4 on a Likert Scale. The 50 items are subsequently analysed within five subscales related to students' perceptions of learning, faculty (teachers), academic atmosphere, and self-perceptions (academic and social). An overall score is obtained by summing the mean score for each subscale, with an overall possible score of 200. All students in the program were asked to complete the DREEM. Means and standard deviations were calculated for the 50 items, the five subscale scores and the overall score. Cronbach's alpha was determined for the five subscales and overall score to evaluate reliability. Confirmatory factor analysis was used to evaluate construct validity. 224 responses (53%) were received. The Cronbach's alpha for the overall score was 0.93 and for the five subscales were; perceptions of learning 0.85, perceptions of faculty 0.79, perceptions of atmosphere 0.81, academic self-perceptions 0.68, and social self-perceptions 0.72. Construct validity was determined to be acceptable (p education programs. Four individual items of concern were identified by students. In this setting the DREEM was a reliable and valid tool to measure veterinary students' perceptions of their learning environment. The four items identified as concerning originated from four of the five subscales, but all related to workload. Negative perceptions regarding workload is a common concern of students in health education

  18. Future Ready Learning: Reimagining the Role of Technology in Education. 2016 National Education Technology Plan

    Science.gov (United States)

    Thomas, Susan

    2016-01-01

    The National Education Technology Plan is the flagship educational technology policy document for the United States. The 2016 Plan, "Future Ready Learning: Reimagining the Role of Technology in Education," articulates a vision of equity, active use, and collaborative leadership to make everywhere, all-the-time learning possible. While…

  19. Effects of Students' Characteristics on Online Learning Readiness: A Vocational College Example

    Science.gov (United States)

    Cigdam, Harun; Yildirim, Osman Gazi

    2014-01-01

    Educational institutions rapidly adopt concepts and practices of online learning systems for students. But many institutions' online learning programs face enormous difficulty in achieving successful strategies. It is essential to evaluate its different aspects and understand factors which influence its effectiveness. Readiness stands out among…

  20. Community Readiness Within Systems of Care: The Validity and Reliability of the System of Care Readiness and Implementation Measurement Scale (SOC-RIMS).

    Science.gov (United States)

    Rosas, Scott R; Behar, Lenore B; Hydaker, William M

    2016-01-01

    Establishing a system of care requires communities to identify ways to successfully implement strategies and support positive outcomes for children and their families. Such community transformation is complex and communities vary in terms of their readiness for implementing sustainable community interventions. Assessing community readiness and guiding implementation, specifically for the funded communities implementing a system of care, requires a well-designed tool with sound psychometric properties. This scale development study used the results of a previously published concept mapping study to create, administer, and assess the psychometric characteristics of the System of Care Readiness and Implementation Measurement Scale (SOC-RIMS). The results indicate the SOC-RIMS possesses excellent internal consistency characteristics, measures clearly discernible dimensions of community readiness, and demonstrates the target constructs exist within a broad network of content. The SOC-RIMS can be a useful part of a comprehensive assessment in communities where system of care practices, principles, and philosophies are implemented and evaluated.

  1. School Readiness and Rudolf Steiner's Theory of Learning.

    Science.gov (United States)

    Ogletree, Earl J.; Ujlaki, Vilma

    This paper presents Rudolf Steiner's maturational readiness theory of human physiopsychology and comments on education in the Waldorf Schools. Discussion asserts that Steiner's concept of human development is complex and that intensive study is required for even a superficial understanding of "the four members of man": the physical,…

  2. E-LEARNING READINESS AMONG MEDICAL EDUCATORS IN UNIVERSITI SAINS ISLAM MALAYSIA

    OpenAIRE

    Salleha Khalid; Tengku Madeehah Tengku Mohd; Khadijah Hassanah; Suhaila Sanip; Muhammad Shamsir Aris; Khaironi Sharif; Mohd Mokthar

    2014-01-01

    Recent advances in information technology has made e-learning feasible in many fields of education. Medical education is not any different. This survey is conducted among all the medical educators in Universiti Sains Islam Malaysia (USIM) assessing their readiness and attitudes towards e-learning. A cross-sectional questionnaires assessing the IT skills, Internet usage, attitude, perceived benefits and usage of e-learning among USIM medical lecturers were used. Data gained were then analyzed....

  3. Ready to learn physics: a team-based learning model for first year university

    Science.gov (United States)

    Parappilly, Maria; Schmidt, Lisa; De Ritter, Samantha

    2015-09-01

    Team-based learning (TBL) is an established model of group work which aims to improve students' ability to apply discipline-related content. TBL consists of a readiness assurance process (RAP), student groups and application activities. While TBL has not been implemented widely in science, technology, engineering and mathematics disciplines, it has been effective in improving student learning in other disciplines. This paper describes the incorporation of TBL activities into a non-calculus based introductory level physics topic—Physics for the Modern World. Students were given pre-class preparation materials and an individual RAP online test before the workshops. The pre-workshop individual RAP test ensured that all students were exposed to concept-based questions before their workshops and motivated them to use the preparatory materials in readiness for the workshop. The students were placed into random teams and during the first part of the workshop, the teams went through a subset of the quiz questions (team RAP test) and in the remaining time, teams completed an in-class assignment. After the workshop students were allowed another attempt at the individual RAP test to see if their knowledge had improved. The ability of TBL to promote student learning of key concepts was evaluated by experiment using pre- and post- testing. The students’ perception of TBL was monitored by discussion posts and survey responses. Finally, the ability of TBL to support peer-peer interaction was evaluated by video analysis of the class. We found that the TBL process improved student learning; students did interact with each other in class; and the students had a positive view of TBL. To assess the transferability of this model to other topics, we conducted a comparison study with an environmental science topic which produced similar results. Our study supports the use of this TBL model in science topics.

  4. Internet Shop Users: Computer Practices and Its Relationship to E-Learning Readiness

    OpenAIRE

    Jasper Vincent Q. Alontaga

    2018-01-01

    Access to computer technology is essential in developing 21st century skills. One venue that serves to bridge the gap in terms of access is internet shops (also known cybercafés or internet cafés). As such, it is important to examine the type of activities internet shop users engage in and how they develop and relate to their e-learning readiness. This study examined the profile, computer practices and e-learning readiness of seventy one (71) internet shop users. A researcher-made internet sh...

  5. Parental Learning and School Readiness in the Gearing Up for Kindergarten Program

    Directory of Open Access Journals (Sweden)

    Sharon Query

    2013-06-01

    Full Text Available Entering kindergarten is a key moment in a young child’s life, and parents are a child’s first teacher. What can guide parents as they assist children with school readiness? Gearing Up for Kindergarten is an intensive parent education and school readiness program designed to help parents and children prepare for school. Gearing Up for Kindergarten is a parent education program that combines early learning opportunities for pre-kindergarten children with parent education opportunities for adults. This study presents findings from evaluation efforts conducted with 59 Gearing Up for Kindergarten adult participants during the 2006-2007 school year. Participants in the program demonstrated (1 high satisfaction with program quality and experiences, (2 impacts on parental knowledge and confidence, and (3 significant and positive changes in parental practices related to school readiness. Implications for parent education and programs intended to strengthen school readiness among pre-kindergarten children are explored. Parent education on school readiness can provide a substantive resource as parents help their children develop and become ready for the school years.

  6. Factors Affecting Nursing Students' Readiness and Perceptions Toward the Use of Mobile Technologies for Learning.

    Science.gov (United States)

    Zayim, Nese; Ozel, Deniz

    2015-10-01

    The purpose of this study was to determine the current usage of mobile devices, preferences of mobile learning environments and examine the readiness of nursing students in a public university. In order to investigate preferences and attitudes with respect to mobile technology use in nursing education, 387 students at a state university have been surveyed. It has been observed that while students preferred their current portable laptops, those in higher classes were more inclined to favor mobile phones. The common problems of battery life and high cost of communication, both in smartphones and tablet systems, suggest that hardware quality and financial constraints seem to be two main factors in determining these technologies. While more than half of students expressed readiness for mobile learning, one quarter indicated indecision. Through multivariate regression analysis, readiness to use mobile learning can be described in terms of perceived ease of use, perceived usefulness, personal innovativeness, self-management of learning, perceived device limitation, and availability. Class level, perceived ease of use, personal innovativeness, and self-management of learning explain intention to use mobile learning. Findings obtained from these results can provide guidance in the development and application of mobile learning systems.

  7. Teachers' and Students' Views on E-Learning Readiness in Kuwait's Secondary Public Schools

    Science.gov (United States)

    Aldhafeeri, Fayiz M.; Khan, Badrul H.

    2016-01-01

    This article reports on an e-learning readiness study that was carried out to assess the organizational and individual factors of the two major stakeholder groups (teachers and students) in the secondary education institutions in the State of Kuwait in order to provide significant information to the policy makers and regulatory bodies for the…

  8. Student Readiness for Online Learning – A case study in rural Bolivia

    OpenAIRE

    Blass, Silvia

    2018-01-01

    The present paper describes the research of the students’ online learning readiness in a rural university in Bolivia. In particular, it examines through a quantitative research the influences of some variables on the students’ attitudes toward online learning. These variables were established based on theoretical fundaments and selected and confirmed through a qualitative research based in semi-structured interviews with lecturers and directors of the university’s rural centers. This study...

  9. Machine learning in heart failure: ready for prime time.

    Science.gov (United States)

    Awan, Saqib Ejaz; Sohel, Ferdous; Sanfilippo, Frank Mario; Bennamoun, Mohammed; Dwivedi, Girish

    2018-03-01

    The aim of this review is to present an up-to-date overview of the application of machine learning methods in heart failure including diagnosis, classification, readmissions and medication adherence. Recent studies have shown that the application of machine learning techniques may have the potential to improve heart failure outcomes and management, including cost savings by improving existing diagnostic and treatment support systems. Recently developed deep learning methods are expected to yield even better performance than traditional machine learning techniques in performing complex tasks by learning the intricate patterns hidden in big medical data. The review summarizes the recent developments in the application of machine and deep learning methods in heart failure management.

  10. Lessons Learned from Sandia National Laboratories' Operational Readiness Review of the Annular Core Research Reactor (ACRR)

    International Nuclear Information System (INIS)

    Bendure, Albert O.; Bryson, James W.

    1999-01-01

    The Sandia ACRR (a Hazard Category 2 Nuclear Reactor Facility) was defueled in June 1997 to modify the reactor core and control system to produce medical radioisotopes for the Department of Energy (DOE) Isotope Production Program. The DOE determined that an Operational Readiness Review (ORR) was required to confirm readiness to begin operations within the revised safety basis. This paper addresses the ORR Process, lessons learned from the Sandia and DOE ORRS of the ACRR, and the use of the ORR to confirm authorization basis implementation

  11. Are we ready for blended learning in medical education?

    Directory of Open Access Journals (Sweden)

    Aneesh Basheer

    2016-10-01

    Full Text Available Blended learning has other indirect positive effects as well. One innovative byproduct of blended learning is the flipped classroom; the sequence of events customary to the traditional classroom teaching are reversed.2 Traditional learning starts with the teacher providing a predominant cognitive (knowledge component and requires the students to follow it up with self-study and expansion of knowledge leading to higher levels of learning. The teacher plays the role of subject expert in general. In contrast, the learning material or at least a major part of it is provided to students before the scheduled class. The teacher uses the face to face session to engage students in interactive discussions, group tasks and other activities. This also has the advantage of making the learning process active, learner-centered and more retentive, reducing distraction and promoting higher levels of learning.3,4 Moreover, there is enough data to indicate that students are highly satisfied with the blended learning experience, particularly flipped classrooms.

  12. A Correlational Study of Self-Directed Learning Readiness and Learning Activity Preference for Continuing Medical Education among Family Physicians

    Science.gov (United States)

    Barrett, Theresa J.

    2014-01-01

    This quantitative, nonexperimental, correlational study sought to determine whether a relationship exists between family physicians' levels of self-directed learning readiness (SDLR) and their preferences for continuing medical education (CME) activities. The study also sought to determine whether years in clinical practice or size of clinical…

  13. The Development of Sloyd Teacher Students’ Self-Directed Learning Readiness

    Directory of Open Access Journals (Sweden)

    Mika Metsärinne

    2012-09-01

    Full Text Available This research is the first part of a longitudinal study of sloyd teacher students’ self-directed learning of craft & technology studies at the end of bachelor level throughout three decades in Finland. Sloyd education is the main subject in the sloyd teacher study program in University of Turku and Åbo Akademi University in Finland. These sloyd teacher study programs progresses to the master’s level of education and provides readiness to teach the school subject sloyd in comprehensive and high schools. This study is focused mainly of the craft and technology combination in purposes of sloyd education in university of Turku. The studies consists mainly of wood, plastic, metal, information and textile technologies, mechanical engineering, electricity and some basics of automation technologies, research methodologies, pedagogics and product planning. The aim of the present research was to study whether there are any Self-Directed Learning Readiness (SDLR differences between the craft & technology studies of sloyd teacher students in the year 1992 and 2002. The main result was that the 92-group had higher SDLR -points compared to the 02-group. The main conclusion is that craft & technology studies require plenty of time for students’ development of self –directed learning that is adequate for sloyd teacher education.Key words: Sloyd education, Self-direction learning; self-directed learning readiness, Sloyd (craft & technology teacher education

  14. Lessons Learned about Instruction from Inclusion of Students with Disabilities in College and Career Ready Assessments

    Science.gov (United States)

    Heritage, Margaret; Lazarus, Sheryl S.

    2016-01-01

    The new large-scale assessments rolled out by consortia and states are designed to measure student achievement of rigorous college- and career-ready (CCR) standards. Recent surveys of teachers in several states indicate that students with disabilities like many features of the new assessments, but that there also are challenges. This Brief was…

  15. Lessons Learned about Assessment from Inclusion of Students with Disabilities in College and Career Ready Assessments

    Science.gov (United States)

    Lazarus, Sheryl S.; Heritage, Margaret

    2016-01-01

    The new large-scale assessments rolled out by consortia and states are designed to measure student achievement of rigorous college- and career-ready (CCR) standards. Recent surveys of teachers in several states indicate that students with disabilities adjusted well to the new assessments, and liked many of their features, but that there also are…

  16. Is Your Gifted Child Ready for Online Learning?

    Science.gov (United States)

    Potts, Jessica Alison; Potts, Skip

    2017-01-01

    Virtual classrooms, which have grown at an unprecedented rate in recent years, represent a unique opportunity for gifted students who do not have appropriate educational options in their brick-and-mortar schools. Students who are engaged in online learning have access to flexible, high quality curricula and can be grouped with their intellectual…

  17. Evaluating the Use of Learning Objects for Improving Calculus Readiness

    Science.gov (United States)

    Kay, Robin; Kletskin, Ilona

    2010-01-01

    Pre-calculus concepts such as working with functions and solving equations are essential for students to explore limits, rates of change, and integrals. Yet many students have a weak understanding of these key concepts which impedes performance in their first year university Calculus course. A series of online learning objects was developed to…

  18. E-learning readiness from perspectives of medical students: A survey in Nigeria.

    Science.gov (United States)

    Obi, I E; Charles-Okoli, A N; Agunwa, C C; Omotowo, B I; Ndu, A C; Agwu-Umahi, O R

    2018-03-01

    Learning in the medical school of the study university is still by the traditional face-to-face approach with minimal e-communication. This paper assesses student's perspectives of E-learning readiness, its predictors and presents a model for assessing them. A descriptive cross-sectional study of medical students. By proportional quota sampling 284 students responded to a semi-structured self-administered questionnaire adapted from literature. Ethical issues were given full consideration. Analysis was with SPSS version 20, using descriptive statistics, ANOVA, Spearman's correlation, and multiple regression. Statistical significance was considered at P E-learning (Mlr = 3.8 > Melr = 3.4), beyond reliance on the face-to-face approach (69.7%), expecting effective (51.1%), and quality improvement in their learning (73.1%). Having basic information and communications technology skills (68.9%) (Mict = 3.7 > Melr = 3.4), access to laptops (76.1%), ability to use web browsers confidently (91.8%) (Mwb = 4.3 > Melr = 3.4), with only few able to use asynchronous tools (45.5%), they consider content design important to attract users (75.6%), and agree they need training on E-learning content (71.4%). They however do not believe the university has enough information technology infrastructure (62.4%) (Mi = 2.7 E-learning. Predicted by their attitude, content, technological and cultural readiness. Further study with qualitative methodology will help in preparing for this evolution in learning.

  19. The Costly Consequences of not Being Socially and Behaviorally Ready to Learn by Kindergarten in Baltimore City.

    Science.gov (United States)

    Bettencourt, Amie F; Gross, Deborah; Ho, Grace; Perrin, Nancy

    2018-02-01

    Social, emotional, and behavioral skills are foundational to learning and long-term success. However, poverty and exposure to adverse childhood experiences reduce the chances of children entering kindergarten socially-behaviorally ready to learn. This study examined the unique impact of 5-year-old children (N = 11,412) entering kindergarten not socially-behaviorally ready on three costly school outcomes by fourth grade in Baltimore City Public Schools: being retained in grade, receiving services and supports through an IEP or 504 plan, and being suspended/expelled. Controlling for all other types of school readiness, students not identified as socially-behaviorally ready for kindergarten were more likely to experience all three school outcomes. Findings underscore the importance of early prevention and intervention strategies targeting parents and social-behavioral readiness skills during the first 5 years of life.

  20. Starting school healthy and ready to learn: using social indicators to improve school readiness in Los Angeles County.

    Science.gov (United States)

    Wold, Cheryl; Nicholas, Will

    2007-10-01

    School readiness is an important public health outcome, determined by a set of interdependent health and developmental trajectories and influenced by a child's family, school, and community environments. The same factors that influence school readiness also influence educational success and health throughout life. A California cigarette tax ballot initiative (Proposition 10) created new resources for children aged 0 to 5 years and their families statewide through county-level First 5 commissions, including First 5 LA in Los Angeles County. An opportunity to define and promote school readiness indicators was facilitated by collaborative relationships with a strong emphasis on data among First 5 LA, the Children's Planning Council, and the Los Angeles County Public Health Department, and other child-serving organizations. A workgroup developed school readiness goals and indicators based on recommendations of the National Education Goals Panel and five key domains of child well-being: 1) good health, 2) safety and survival, 3) economic well-being, 4) social and emotional well-being, and 5) education/workforce readiness. The Los Angeles County Board of Supervisors and First 5 LA Commission adopted the school readiness indicators. First 5 LA incorporated the indicators into the results-based accountability framework for its strategic plan and developed a community-oriented report designed to educate and spur school readiness-oriented action. The Los Angeles County Board of Supervisors approved a countywide consensus-building plan designed to engage key stakeholders in the use of the indicators for planning, evaluation, and community-building activities. School readiness indicators in Los Angeles County represent an important step forward for public health practice, namely, the successful blending of an expanded role for assessment with the ecological model.

  1. Possibility to Use Mobile Learning to Promote World Heritage Site Preservation Awareness in Luang Prabang, Lao Pdr: a Readiness Study

    Science.gov (United States)

    Poong, Y. S.; Yamaguchi, S.; Takada, J.

    2013-07-01

    This paper elucidates the current state of mobile technology readiness among young adults in higher education institution based on surveys and interviews. Although Lao PDR is ranked as low category in the ICT Index by International Telecommunication Union (ITU), findings show that there exists high level of readiness among the young adults. Recommendations for future research are developed to guide the development of mobile learning application with the aim to promote World Heritage Site preservation awareness.

  2. Relationship between Student's Self-Directed-Learning Readiness and Academic Self-Efficacy and Achievement Motivation in Students

    Science.gov (United States)

    Saeid, Nasim; Eslaminejad, Tahere

    2017-01-01

    Self-directed learning readiness to expand and enhance learning, This is an important goal of higher education, Besides his academic self-efficacy can be improved efficiency and Achievement Motivation, so understanding how to use these strategies by students is very important. Because the purpose this study is determination of relationship between…

  3. Effects of differences in problem-based learning course length on academic motivation and self-directed learning readiness in medical school students.

    Science.gov (United States)

    Yune, So Jung; Im, Sun Ju; Lee, Sun Hee; Baek, Sun Yong; Lee, Sang Yeoup

    2010-03-01

    Problem-based learning (PBL) is an educational approach in which complex authentic problems serve as the context and stimulus for learning. PBL is designed to encourage active participation during learning. The goal of this study was to study the effects of PBL on academic motivation and self-directed learning readiness in medical school students. The subjects of this study were 190 students in the 1st and 2nd grade of medical school. The period of the PBL course was two weeks for Year 1 and five weeks for Year 2 students. Students completed one module over one week. Academic motivation tests and self-directed learning readiness tests were performed before and after the PBL course. The differences between the two groups were analyzed using paired t-test and repeated measures MANCOVA. PBL had positive effects on academic self-efficacy (self-control efficacy, task-level preference) and academic failure tolerance (behavior, task-difficulty preference) as academic motivation. PBL had a mildly positive effect on self-directed learning readiness. In addition, the five-week PBL course had greater positive effects on academic motivation than the two-week course but not with regard to self-directed learning readiness. Medical students engage in academic motivation and self-directed learning readiness during PBL, suggesting that the five-week PBL course has greater positive effects than the two-week course. Future studies are needed to confirm the most effective periods of PBL.

  4. Ready-to-use foods for management of moderate acute malnutrition: Considerations for scaling up production and use in programs

    Science.gov (United States)

    Ready-to-use foods are one of the available strategies for the treatment of moderate acute malnutrition (MAM), but challenges remain in the use of these products in programs at scale. This paper focuses on two challenges: the need for cheaper formulations using locally available ingredients that are...

  5. The Readiness Level of Using e-Learning Among Teacher Graduate Programme (TGP

    Directory of Open Access Journals (Sweden)

    Abd Samad Noorazman

    2018-01-01

    Full Text Available Using e-Learning among Teacher Graduate Programme (TGP to students who are newly exposed in Teaching and Learning (T&L proses. The major problem among student’s TGP is the readiness level in knowledge, attitude and skills using e-Learning during Teaching and Learning (T&L . This study is to identify any significant differences of the knowledge level between male and female TGP students. The design of this study is to survey research using instruments of questionnaire which are distributed to respondents among TGP students at the Faculty of Technical and Vocational, UTHM. The sample is given to 248 respondents and analysis using version SPSS 21.0. Data presented using descriptive method such as, Mean, Standard Deviation(SD, inferens statistic using Mann-Whitney U to identify the knowledge difference between male and female TGP students. The result showed that the level of application of e-Learning among TGP students in terms of knowledge, attitude and skill at moderate level. The study also showed that there are no significant knowledge difference among male and female TGP students because the result of p= 0.044 value is less <0.05 can be stated that Ha failed rejected. The results of this study is important to provide awareness especially to the TGP students, lecturers and also UTHM in providing new T&L using e-Learning.

  6. The antecedents of e-learning outcome: an examination of system quality, technology readiness, and learning behavior.

    Science.gov (United States)

    Ho, Li-An

    2009-01-01

    The rapid advancement of Internet and computer technology has not only influenced the way we live, but also the way we learn. Due to the implementation of e-learning in urban junior high schools in Taiwan, it has become essential to find out how external and internal factors affect junior high school students' online learning behavior, which consequently affects their learning outcome. The present study aims to propose a conceptual structural equation model to investigate the relationships among e-Learning system quality (eLSQ), technology readiness (TR), learning behavior (LB), and learning outcome (LO), and to demonstrate the direct and indirect effect of eLSQ and TR on LO from the perspectives of LB. Data collected from 10 urban junior high schools in Taiwan (N = 376) were analyzed using structural equation modeling. Results reveal that both eLSQ and TR have a direct and significant impact on LB. However, eLSQ and TR influence LO indirectly through LB. In addition, LB has a direct and positive significant influence on LO. Managerial implications are proposed and research limitations are discussed.

  7. The assessment of the readiness of five countries to implement child maltreatment prevention programs on a large scale.

    Science.gov (United States)

    Mikton, Christopher; Power, Mick; Raleva, Marija; Makoae, Mokhantso; Al Eissa, Majid; Cheah, Irene; Cardia, Nancy; Choo, Claire; Almuneef, Maha

    2013-12-01

    This study aimed to systematically assess the readiness of five countries - Brazil, the Former Yugoslav Republic of Macedonia, Malaysia, Saudi Arabia, and South Africa - to implement evidence-based child maltreatment prevention programs on a large scale. To this end, it applied a recently developed method called Readiness Assessment for the Prevention of Child Maltreatment based on two parallel 100-item instruments. The first measures the knowledge, attitudes, and beliefs concerning child maltreatment prevention of key informants; the second, completed by child maltreatment prevention experts using all available data in the country, produces a more objective assessment readiness. The instruments cover all of the main aspects of readiness including, for instance, availability of scientific data on the problem, legislation and policies, will to address the problem, and material resources. Key informant scores ranged from 31.2 (Brazil) to 45.8/100 (the Former Yugoslav Republic of Macedonia) and expert scores, from 35.2 (Brazil) to 56/100 (Malaysia). Major gaps identified in almost all countries included a lack of professionals with the skills, knowledge, and expertise to implement evidence-based child maltreatment programs and of institutions to train them; inadequate funding, infrastructure, and equipment; extreme rarity of outcome evaluations of prevention programs; and lack of national prevalence surveys of child maltreatment. In sum, the five countries are in a low to moderate state of readiness to implement evidence-based child maltreatment prevention programs on a large scale. Such an assessment of readiness - the first of its kind - allows gaps to be identified and then addressed to increase the likelihood of program success. Copyright © 2013 Elsevier Ltd. All rights reserved.

  8. Fundamentals of Learning. From the College and Career Ready Standards to Teaching and Learning in the Classroom: A Series of Resources for Teachers

    Science.gov (United States)

    Heritage, Margaret; Jones, Barbara; Tobiason, Glory; Chang, Sandy; Herman, Joan

    2015-01-01

    This publication provides a framework, the Fundamentals of Learning (FOL), to assist teachers in transitioning to the classroom practices called for in the College- and Career-Ready Standards (CCRS). The content of this resource is drawn from leading theory and research about learning and assessment and from an examination of the Common Core State…

  9. The Effect of a Flipped Classroom Model on Academic Achievement, Self-Directed Learning Readiness, Motivation and Retention

    Science.gov (United States)

    Alsancak Sirakaya, Didem; Ozdemir, Selçuk

    2018-01-01

    This study examined the effect of a flipped classroom model on students' academic achievement, self-directed learning readiness and motivation. The participants of this study were a total of 66 students who took the "Scientific Research Methods" course and were studying in two different classes in the Faculty of Education at Ahi Evran…

  10. Assessing Learners' Perceived Readiness for Computer-Supported Collaborative Learning (CSCL): A Study on Initial Development and Validation

    Science.gov (United States)

    Xiong, Yao; So, Hyo-Jeong; Toh, Yancy

    2015-01-01

    The main purpose of this study was to develop an instrument that assesses university students' perceived readiness for computer-supported collaborative learning (CSCL). Assessment in CSCL research had predominantly focused on measuring "after-collaboration" outcomes and "during-collaboration" behaviors while…

  11. Assessing Readiness for Integration of Electronic Learning into Business Education Programmes in Tertiary Institutions in Ebonyi State

    Science.gov (United States)

    Nwagwu, Lazarus; Azih, Nonye

    2015-01-01

    The study was conducted to assess readiness for integration of electronic learning into business education programmes in tertiary institutions in Ebonyi State. Two research questions and two hypotheses guided the study. The population was 37 business education lecturers and 748 Business Education Students in tertiary institutions that offer…

  12. Effects of Motivation, Academic Stress and Age in Predicting Self-Directed Learning Readiness (SDLR): Focused on Online College Students

    Science.gov (United States)

    Heo, JeongChul; Han, Sumi

    2018-01-01

    The purpose of this study is to determine whether the self-directed learning readiness (SDLR) among online students might be significantly predicted by motivation, academic stress, and age. To complete the purpose of this study, the Pearson correlation and multiple-regression are analyzed. The participants for this study are college students who…

  13. Ready for eHealth. Older Swedes’ Perceptions of eHealth Services: Using the PIADS Scale as a Predictor for Readiness

    Directory of Open Access Journals (Sweden)

    Sarianne Wiklund Axelsson

    2016-09-01

    Full Text Available Introduction: Relevant determinants of adoption of eHealth are needed in order to understand future usage. Aim: To investigate the anticipated psychosocial impact of present and future eHealth services and discuss how psychosocial factors can impact the readiness for eHealth services among older Swedes and reflect upon instruments for measuring eHealth acceptance. Method: The Psychosocial Impact of Assistive Device Scale (PIADS measured the psychosocial impact of eHealth services as illustrated in pictures of a set of events of eHealth services that may reasonably occur in the present and the future. The PIADS scale and the scenarios were administered via a randomly selected sample from the Swedish population aged 55–105. Results and Discussion: Older Swedes have, from a psychosocial perspective, positive expectations regarding eHealth services. The PIADS scale could be a useful supplement to acceptance measurements in the context of eHealth. Using animated illustrations to depict eHealth services, together with the PIADS scale, can generate findings that are generalizable across technologies. The dimensions adaptability, competence and self-esteem could be relevant determinants of adoption of eHealth.

  14. READINESS Of ELEMENTARY SCHOOL TEACHERS IN IMPLEMENTING CHARACTERS INTEGRATED LEARNING IN THE SCIENCE SUBJECT

    Directory of Open Access Journals (Sweden)

    N. Hindarto

    2015-01-01

    Full Text Available Many problems that arise in today's society are rooted in the issue of morality as a result of the marginalization of the values of character. To solve this problem, need to be enforced the values of good character on every member of the community, and the proper way is through the educational process, including through education in schools ranging from elementary education to higher education. To find out whether the teachers in elementary schools are ready to take this work, the research conducted to determine the readiness of teachers and the problems associated with its implementation. Through a questionnaire calculated in descriptive percentage on a sample of elementary school teachers who are spread in Semarang, Semarang District and Temanggung, it can be concluded that in teachers’ view it is very important to integrate the learning of characters in the lesson. However, they need guidance /examples to develop learning model with its features, which integrate the values of the characters in the science subject.Banyak persoalan yang timbul di masyarakat dewasa ini berakar pada persoalan moralitas sebagai akibat terpinggirkannya nilai-nilai karakter, Untuk mengatasi persoalan ini, perlu ditegakkan lagi nilai nilai karakter yang baik pada setiap anggota masyarakat, dan cara yang tepat adalah melalui proses pendidikan, di antaranya melalui pendidikan di sekolah mulai dari pendidikan dasar sampai pendidikan tinggi. Untuk mengetahui apakah para guru pada Sekolah Dasar siap mengemban tugas ini, maka diadakan penelitian untuk mengetahui kesiapan para guru dan masalah-masalah yang terkait dengan pelaksanaannya. Melalui angket yang kemudian diolah secara deskriptive persentasi pada sampel guru SD yang tersebar di Kota Semarang, Kabupaten Semarang dan Kabupaten Temanggung, dapat diketahui bahwa para guru menganggap sangat penting untuk mengintegrasikan pembelajaran karakter dalam matapelajaran IPA. Namun demikian mereka membutuhkan bimbingan

  15. The Correlation of Parenting and Socioeconomic Status Towards English Learning Readiness of Children

    Directory of Open Access Journals (Sweden)

    Andi Ummul Khair

    2014-08-01

    Full Text Available This research is about the correlation of Parenting and Socioeconomic Status (SES towards English Learning Readiness (ELR of children. This study was aimed to find out the correlation of parenting quality and socioeconomic status towards English learning readiness of children. This research applied quantitative research, the case conducts in correlational research which describes an existing condition. The population of this research was students from all elementary school in Kecamatan Tamalate Makassar where English is tought at second grade. The representation of the population in this research is the 2nd year students of six elementary schools in Kecamatan Tamalate academic year of 2012/2013 who have collected the two questionnaires which is distributed to them and filled out by their parents. Total number of the sample is 105 students chosen from the questionnaires which is collected and has filled properly by parents. The data were obtained by using two kinds of instruments, those are questionnaires of parenting and socioeconomic status which have tested the validity in a number of students and data of the ELR of children got from student’s English achievement in school. Those data were analyzed by using path analysis of Amos 20.0. The researcher concludes that (1 the correlation of parenting with ELR indicates the higher quality of parenting they have the higher children gain ELR, on the contrary the less quality of parenting they have the less children gain ELR, (2 SES has almost none indication to have correlation with ELR, (3 The higher SES the better parenting do and the lower SES the worst parenting do.

  16. Self-directed learning readiness and nursing competency among undergraduate nursing students in Fujian province of China

    OpenAIRE

    Gui-Fang Yang; Xiao-Ying Jiang

    2014-01-01

    Aims: We examined the relationship between self-directed learning readiness (SDLR) and nursing competency among undergraduate nursing students. Background: There is little evidence-based data related to the relationship between self-directed learning (SDL) and nursing competency. Methods: A descriptive correlational design was used. We conducted convenience sampling of 519 undergraduate nursing students from three universities during their final period of clinical practice. We investiga...

  17. Learning design and feedback processes at scale

    DEFF Research Database (Denmark)

    Ringtved, Ulla L.; Miligan, Sandra; Corrin, Linda

    2016-01-01

    Design for teaching in scaled courses is shifting away from replication of the traditional on-campus or online teaching-learning relationship towards exploiting the distinctive characteristic and potentials of that environment to transform both teaching and learning. This involves consideration...... design and would benefit from learning analytics support? What is the character of analytics that can be deployed to help deliver good design of online learning platforms? What are the theoretical and pedagogical bases inherent in different analytics designs? These and other questions will be examined...

  18. Lessons Learned from Sandia National Laboratories' Operational Readiness Review of the Annular Core Research Reactor (ACRR)

    Energy Technology Data Exchange (ETDEWEB)

    Bendure, Albert O.; Bryson, James W.

    1999-05-17

    The Sandia ACRR (a Hazard Category 2 Nuclear Reactor Facility) was defueled in June 1997 to modify the reactor core and control system to produce medical radioisotopes for the Department of Energy (DOE) Isotope Production Program. The DOE determined that an Operational Readiness Review (ORR) was required to confirm readiness to begin operations within the revised safety basis. This paper addresses the ORR Process, lessons learned from the Sandia and DOE ORRS of the ACRR, and the use of the ORR to confirm authorization basis implementation.

  19. Learning From the Furniture Scale

    DEFF Research Database (Denmark)

    Hvejsel, Marie Frier; Kirkegaard, Poul Henning

    2018-01-01

    Given its proximity to the human body, the furniture scale holds a particular potential in grasping the fundamental aesthetic potential of architecture to address its inhabitants by means of spatial ‘gestures’. Likewise, it holds a technical germ in realizing this potential given its immediate...... tangibility allowing experimentation with the ‘principles’ of architectural construction. In present paper we explore this dual tectonic potential of the furniture scale as an epistemological foundation in architectural education. In this matter, we discuss the conduct of a master-level course where we...

  20. Learning while Babbling: Prelinguistic Object-Directed Vocalizations Indicate a Readiness to Learn

    Science.gov (United States)

    Goldstein, Michael H.; Schwade, Jennifer; Briesch, Jacquelyn; Syal, Supriya

    2010-01-01

    Two studies illustrate the functional significance of a new category of prelinguistic vocalizing--object-directed vocalizations (ODVs)--and show that these sounds are connected to learning about words and objects. Experiment 1 tested 12-month-old infants' perceptual learning of objects that elicited ODVs. Fourteen infants' vocalizations were…

  1. A Guide for Reading: How Parents Can Help Their Children Be Ready To Read and Ready To Learn = Guia Para Leer: Como los padres pueden preparar a sus hijos a leer y aprender desde la infancia.

    Science.gov (United States)

    White House Initiative on Educational Excellence for Hispanic Americans, Washington, DC.

    As part of the White House Initiative on Educational Excellence for Hispanic Americans, this brochure (in English and Spanish) provides a guide to assist parents in helping their children become ready to read and to learn. The suggestions include: (1) talking to infants/toddlers to help them learn to speak and understand the meaning of words; (2)…

  2. Testing a measure of organizational learning capacity and readiness for transformational change in human services.

    Science.gov (United States)

    Bess, Kimberly D; Perkins, Douglas D; McCown, Diana L

    2011-01-01

    Transformative organizational change requires organizational learning capacity, which we define in terms of (1) internal and (2) external organizational systems alignment, and promoting a culture of learning, including (3) an emphasis on exploration and information, (4) open communication, (5) staff empowerment, and (6) support for professional development. We shortened and adapted Watkins and Marsick's Dimensions of Learning Organizations Questionnaire into a new 16-item Organizational Learning Capacity Scale (OLCS) geared more toward nonprofit organizations. The OLCS and its subscales measuring each of the above 6 dimensions are unusually reliable for their brevity. ANOVAs for the OLCS and subscales clearly and consistently confirmed extensive participant observations and other qualitative data from four nonprofit human service organizations and one local human service funding organization.

  3. Why Do Teachers Use Game-Based Learning Technologies? The Role of Individual and Institutional ICT Readiness

    OpenAIRE

    Hamari, Juho; Nousiainen, Tuula

    2015-01-01

    This paper investigates how different individual and institutional factors pertaining to ICT readiness influence teachers’ adoption of game-based learning technologies. The data were gathered from Finnish primary, lower secondary and upper secondary school teachers (N=1668) with an online survey. The results indicate that openness towards ICT, ICT attitude and the ICT compatibility with teaching positively influence the perceived value whereas openness towards ICT, ...

  4. Evaluating mobile centric readiness of students: A case of computer science students in open-distance learning

    CSIR Research Space (South Africa)

    Chipangura, B

    2015-07-01

    Full Text Available and Education]: Distance learning Keywords Mobile centric services, mobile information access, mobile readiness 1. INTRODUCTION As the mobile phone market matures in terms of penetration rate, subscription rate, handsets functionality and mobile centric..., this reflects a ratio of one mobile phone per person. High mobile phone penetration has made it possible for digitally alienated communities in developing countries to have improved access to business, health, education and social services. Indeed, this has...

  5. Feasibility study on the readiness, suitability and acceptance of M-Learning AR in learning History

    Science.gov (United States)

    Taharim, Nurwahida Faradila; Lokman, Anitawati Mohd; Hanesh, Amjad; Aziz, Azhar Abd

    2016-02-01

    There is no doubt that globalization and innovation in technology has led to the use of technology widespread in almost all sectors, including in the field of education. In recent years, the use of technology in the field of education has more widely and rapidly expand worldwide. Integration of technology in education always open to new opportunities where past studies have shown that technology enhances teaching and learning experience. There are various technologies that have been integrated into the various disciplines of education. Augmented Reality (AR) in mobile learning, which allows a combination of real and virtual worlds in a mobile device, is one of the latest technological potential and has been applied in the field of education. The aim of this research work is to mitigate the challenges faced by end users namely students and teachers of history class by means of creating Augmented Reality mobile application to increase the interest in both delivering and receiving the subject matter. The system consists a mobile platform for students to view the content, and a cloud-based engine to deliver the content based on recognized marker. The impact of such system has been tested on both students and teachers, where students showed interest in learning history, while teachers expressed interest to extend and adopt the system school wide.

  6. READY TO LEARN: THE IMPACT OF THE MORNING BLAST PHYSICAL ACTIVITY INTERVENTION ON ELEMENTARY SCHOOL STUDENTS

    Directory of Open Access Journals (Sweden)

    Tingting Xu

    2017-08-01

    Full Text Available Objective: The purpose of this study was to investigate the effects of a physical activity intervention programme, named “Morning Blast”, on elementary school students’ math learning and daily physical activity. The Morning Blast intervention programme was a 16-week cardiovascular endurance emphasized physical activity program that students voluntarily participated in before the school day. Participants that volunteered, did so for the duration of the program. Methods: This mixed-methods study included seven educators and 83 students (n=90. The students were all children who were enrolled in Grades 3, 4, and 5 in a semi-rural elementary school in the United States. Data were collected through focus-group interviews, surveys, quantitative analysis of step counts, and from quasi-experimental research design. Results: Students in the experimental group were found to have: (1 increased scores on math standard score, (2 greater confidence in their academic ability, and (3 had more accumulated steps compared to students in the control group. Students in the experimental group also reported that they were more “ready to learn” after completing the physical activity intervention. This finding was also confirmed by their teachers. Conclusion: This study demonstrates how an increase in physical activity during the morning time has positive benefits for students throughout the school day.

  7. Lab Safety and Bioterrorism Readiness Curricula Using Active Learning and Hands-on Strategies as Continuing Education for Medical Technologists

    Directory of Open Access Journals (Sweden)

    Steven Fiester

    2010-04-01

    Full Text Available Frequent reports of laboratory- (and hospital- acquired infection suggest a deficiency in safety training or lack of compliance. To assess the need for continuing education (CE addressing this problem, an original education needs assessment survey was designed and administered to medical technologists (med-techs in Northeast Ohio. Survey results were used to design a learner-centered training curriculum (for example, Lab Safety and Bioterrorism Readiness trainings that engaged med-techs in active learning, integrative peer-to-peer teaching, and hands-on exercises in order to improve microbiology safety knowledge and associated laboratory techniques. The Lab Safety training was delivered six times and the Bioterrorism Readiness training was delivered five times. Pre/posttesting revealed significant gains in knowledge and techniques specific to laboratory safety, security, risk assessment, and bioterrorism readiness amongst the majority of med-techs completing the CE trainings. The majority of participants felt that the hands-on exercises met their needs and that their personal laboratory practices would change as a result of the training course, as measured by attitudinal surveys. We conclude that active learning techniques and peer education significantly enhance microbiology learning amongst participating med-techs.

  8. Professional Learning: Trends in State Efforts. Benchmarking State Implementation of College- and Career-Readiness Standards

    Science.gov (United States)

    Anderson, Kimberly; Mire, Mary Elizabeth

    2016-01-01

    This report presents a multi-year study of how states are implementing their state college- and career-readiness standards. In this report, the Southern Regional Education Board's (SREB's) Benchmarking State Implementation of College- and Career-Readiness Standards project studied state efforts in 2014-15 and 2015-16 to foster effective…

  9. Impact of School Readiness Program Interventions on Children's Learning in Cambodia

    Science.gov (United States)

    Nonoyama-Tarumi, Yuko; Bredenberg, Kurt

    2009-01-01

    To reduce the high repetition rates in early years of primary school, the government of Cambodia piloted a school readiness program (SRP) in the first two months of Grade 1 of primary school. This study examines whether such intervention has effects on students' immediate acquisition of school readiness skills as well as students' longer term…

  10. Multidimensionality of Teachers' Graded Responses for Preschoolers' Stylistic Learning Behavior: The Learning-to-Learn Scales

    Science.gov (United States)

    McDermott, Paul A.; Fantuzzo, John W.; Warley, Heather P.; Waterman, Clare; Angelo, Lauren E.; Gadsden, Vivian L.; Sekino, Yumiko

    2011-01-01

    Assessment of preschool learning behavior has become very popular as a mechanism to inform cognitive development and promote successful interventions. The most widely used measures offer sound predictions but distinguish only a few types of stylistic learning and lack sensitive growth detection. The Learning-to-Learn Scales was designed to…

  11. Cross-cultural adaptation and validation of the Injury-Psychological Readiness to Return to Sport scale to Persian language.

    Science.gov (United States)

    Naghdi, Soofia; Nakhostin Ansari, Noureddin; Farhadi, Yasaman; Ebadi, Safoora; Entezary, Ebrahim; Glazer, Douglas

    2016-10-01

    The aim of the present study was to develop and provide validation statistics for the Persian Injury-Psychological Readiness to Return to Sport scale (I-PRRS) following a cross-sectional and prospective cohort study design. The I-PRRS was forward/back-translated and culturally adapted into Persian language. The Persian I-PRRS was administered to 100 injured athletes (93 male; age 26.0 ± 5.6 years; time since injury 4.84 ± 6.4 months) and 50 healthy athletes (36 male; mean age 25.7 ± 6.0 years). The Persian I-PRRS was re-administered to 50 injured athletes at 1 week to examine test-retest reliability. There were no floor or ceiling effects confirming the content validity of Persian I-PRRS. The internal consistency reliability was good. Excellent test-retest reliability and agreement were demonstrated. The statistically significant difference in Persian I-PRRS total scores between the injured athletes and healthy athletes provides an evidence of discriminative validity. The Persian I-PRRS total scores were positively correlated with the Farsi Mood Scale (FARMS) total scores, showing construct validity. The principal component analysis indicated a two-factor solution consisting of "Confidence to play" and "Confidence in the injured body part and skill level". The Persian I-PRRS showed excellent reliability and validity and can be used to assess injured athletes' psychological readiness to return to sport among Persian-speaking populations.

  12. Ready-to-use foods for management of moderate acute malnutrition: considerations for scaling up production and use in programs.

    Science.gov (United States)

    Osendarp, Saskia; Rogers, Beatrice; Ryan, Kelsey; Manary, Mark; Akomo, Peter; Bahwere, Paluku; Belete, Hilina; Zeilani, Mamane; Islam, Munirul; Dibari, Filippo; De Pee, Saskia

    2015-03-01

    Ready-to-use foods are one of the available strategies for the treatment of moderate acute malnutrition (MAM), but challenges remain in the use of these products in programs at scale. This paper focuses on two challenges: the need for cheaper formulations using locally available ingredients that are processed in a safe, reliable, and financially sustainable local production facility; and the effective use of these products in large-scale community-based programs. Linear programming tools can be used successfully to design local compositions that are in line with international guidelines, low in cost, and acceptable, and the efficacy of these local formulations in the treatment of MAM was recently demonstrated in Malawi. The production of local formulations for programs at scale relies on the existence of a reliable and efficient local production facility. Technical assistance may be required in the development of sustainable business models at an early stage in the process, taking into account the stringent product quality and safety criteria and the required investments. The use of ready-to-use products, as of any food supplement, in programs at scale will be affected by the practice of household sharing and diversion of these products for other uses. Additional measures can be considered to account for sharing. These products designed for the treatment and prevention of MAM are to be used in community-based programs and should therefore be used in conjunction with other interventions and designed so that they do not replace the intake of other foods and breastmilk. Remaining challenges and implications for the (operations) research agenda are discussed.

  13. Factors related to self-directed learning readiness of students in health professional programs: A scoping review.

    Science.gov (United States)

    Slater, Craig E; Cusick, Anne

    2017-05-01

    Academic and professional drivers have stimulated interest in self-directed learning of students in pre-certification health professional programs. Particular attention has focussed on factors which may influence a students' readiness for self-directed learning. A five stage structured scoping review of published literature was conducted to identify measures of self-directed learning readiness used with students in pre-certification health professional programs and those factors that have been investigated as potential determinants. Relevant articles were identified in six databases using key search terms and a search strategy. Two independent reviewers used criteria to cull irrelevant sources. Articles which met eligibility criteria were charted. The final analysis included 49 articles conducted in nursing, medicine, physiotherapy, pharmacy, occupational therapy and dentistry cohorts. Twenty-one potential determinants had been investigated with gender, year level, age program delivery and previous education level the most common. Self-directed learning readiness has been of interest globally, mostly in medicine and nursing, and studies have nearly exclusively used one of two instruments. There is nascent evidence that age, year level and previous education level may have positive influence. These factors have in common the passing of time and may in fact be proxy for more encompassing developmental or social constructs. Further research is needed particularly in the allied health professions where there is limited research in very few disciplines. Studies in interprofessional contexts may be an efficient approach to increasing the knowledge base. Further work is also warranted to determine appropriate use of the two instruments across the range of health disciplines. Copyright © 2017 Elsevier Ltd. All rights reserved.

  14. Validation of patient and nurse short forms of the Readiness for Hospital Discharge Scale and their relationship to return to the hospital.

    Science.gov (United States)

    Weiss, Marianne E; Costa, Linda L; Yakusheva, Olga; Bobay, Kathleen L

    2014-02-01

    To validate patient and nurse short forms for discharge readiness assessment and their associations with 30-day readmissions and emergency department (ED) visits. A total of 254 adult medical-surgical patients and their discharging nurses from an Eastern US tertiary hospital between May and November, 2011. Prospective longitudinal design, multinomial logistic regression analysis. Nurses and patients independently completed an eight-item Readiness for Hospital Discharge Scale on the day of discharge. Patient characteristics, readmissions, and ED visits were electronically abstracted. Nurse assessment of low discharge readiness was associated with a six- to nine-fold increase in readmission risk. Patient self-assessment was not associated with readmission; neither was associated with ED visits. Nurse discharge readiness assessment should be added to existing strategies for identifying readmission risk. © Health Research and Educational Trust.

  15. Effect of Learning Achievement of the Eye of Productive Training, Prakerin Experience, and Interests in Student Readiness Entering the World of Work

    Directory of Open Access Journals (Sweden)

    Dita Nur Faizah

    2017-11-01

    Full Text Available This study is a quantitative research by using descriptive and ex-post facto. The purpose of this research is to know how: (1 the description of learning achievement, description of internship experience, description of working interest, and description of working readiness; (2 the effect of productive learning achievement, internship experience, and working interest partially on the readiness of work for the students of SMK Negeri 1 Kraksaan Probolinggo. Data collection techniques used are questionnaire and documentation method. The sampling technique used is proportional random sampling. The result of the analysis shows that: (1 student learning achievement of productive, student internship experience, students working interest, and readiness of student work is in good category; (2 there is a negative and not significant influence between learning achievement of productive education and training on job readiness; (3 there is a positive but insignificant influence between internship experience on job readiness; (4 there is a positive but not significant influence between the interest of work to the readiness of class XII business management students in SMK Negeri 1 Kraksaan Probolinggo.

  16. Effect of an Individual Readiness Assurance Test on a Team Readiness Assurance Test in the Team-Based Learning of Physiology

    Science.gov (United States)

    Gopalan, Chaya; Fox, Dainielle J.; Gaebelein, Claude J.

    2013-01-01

    We examined whether requiring an individual readiness assurance test (iRAT) before a team readiness assurance test (tRAT) would benefit students in becoming better problem solvers in physiology. It was tested in the form of tRAT scores, the time required to complete the tRAT assignment, and individual performance on the unit examinations. Students…

  17. Estrutura fatorial da Stages of Change Readiness and Treatment Eagerness Scale (SOCRATES em dependentes de álcool tratados ambulatorialmente Factor structure of the Stages of Change Readiness and Treatment Eagerness Scale (SOCRATES in alcohol dependent outpatients

    Directory of Open Access Journals (Sweden)

    Neliana Buzi Figlie

    2004-06-01

    Full Text Available OBJETIVO: O objetivo deste estudo foi o de investigar a confiabilidade e a estrutura fatorial da Stages of Change Readiness and Treatment Eagerness Scale (SOCRATES, versão 8,¹ instrumento com 19 itens que mensura a prontidão para a mudança em dependentes de álcool. MÉTODOS: Uma análise fatorial confirmatória da SOCRATES foi realizada em uma amostra de 326 dependentes de álcool, tratados ambulatorialmente, tendo como base a estrutura fatorial demonstrada por Miller & Tonigan² e Maisto et al.³ O questionário foi traduzido e adaptado culturalmente para o idioma português, sendo posteriormente submetido ao procedimento da retradução para o idioma inglês. Durante esse procedimento, foram realizadas algumas modificações, visando a simplificar alguns itens que apresentaram formato complexo. RESULTADOS: As análises estatísticas mostraram a existência de dois fatores correlacionados que melhor exploraram o modelo, sendo este achado similar ao estudo de Maisto et al.³ CONCLUSÕES: Foi constatada menor evidência para o modelo de três fatores. Esses resultados são comparados com estudos prévios e as discrepâncias são discutidas neste artigo.OBJECTIVE: The aim of this study was to investigate the reliability and factor structure of the Stages of Change Readiness and Treatment Eagerness Scale (SOCRATES, version 8,¹ a 19-item self-reported instrument developed to measure readiness to change in alcohol-dependent alcoholics. METHODS: A Confirmatory Factor analysis of the SOCRATES was performed based on the factor structures previously demonstrated by Miller & Tonigan² and Maisto et al.³ in a sample with 326 alcohol-dependent outpatients. The questionnaire was translated into Portuguese, cross-culturally adapted and back-translated into English. During this process SOCRATES underwent some modifications to simplify some complex question formats. RESULTS: The analysis showed that two correlated factors provided the best fit for the

  18. Comparison of the Readiness for Interprofessional Learning and the rate of contact among students from nine different healthcare courses.

    Science.gov (United States)

    de Oliveira, Vítor Falcão; Bittencourt, Mariana Fonseca; Navarro Pinto, Ícaro França; Lucchetti, Alessandra Lamas Granero; da Silva Ezequiel, Oscarina; Lucchetti, Giancarlo

    2018-04-01

    Despite the growth in the interprofessional literature, there are still few studies that have evaluated the differences among courses and periods in relation to Readiness for Interprofessional Learning. Likewise, the relationship between the influences of contact among students from different professions is still controversial. To evaluate whether greater contact among students from diverse health courses could be associated with improved Readiness for Interprofessional Learning (RIPLS) at the undergraduate level and to compare the RIPLS among healthcare courses, analyzing differences among courses and periods of their academic training. Cross-sectional study. A Brazilian public university. Students enrolled in the first and final periods of nine healthcare courses. The rates of contact between students and the Readiness for Interprofessional Learning were assessed. A comparison between students from these nine healthcare courses was carried out. A total of 545 (73.45%) students answered the questionnaire. The highest RIPLS scores were from Nursing (42.39), Dentistry (41.33) and Pharmacy students (40.72) and the lowest scores were from Physical Education (38.02), Medicine (38.17) and Psychology (38.66) students. The highest rates of contact between students (RC) were from Physical Education, Nutrition and Psychology students and the lowest RC were from Pharmacy, Social service and Dentistry. There was a significant effect of "healthcare course" on RIPLS. Comparing RIPLS and RC between the first and final years we found that, considering all courses, there was an increase in the RC, whereas a decrease in RIPLS scores. No correlation was found between RIPLS and RC in general. The current study found that RIPLS scores are very different between healthcare students. Although we found a significant increase in the RC, there was a decrease in the RIPLS scores. These findings lead to a greater understanding of the difficulties facing and potential for interprofessional

  19. Ontario is not ready to face a large-scale nuclear accident

    International Nuclear Information System (INIS)

    2017-07-01

    On paper, in Japan as elsewhere, nuclear emergency plans are based on international standards and all look similar. The counter measures are sheltering, potassium iodate prophylaxis, evacuation and control of foodstuffs. With 18 nuclear reactors to produce electricity and a research reactor, Ontario should be especially well prepared. Moreover, in USA, there are six power plants located at less than 100 km from the Canadian border. Would Ontario do better than Japan in case of a severe nuclear disaster? Ontario is not ready to face a severe nuclear accident and the population surrounding nuclear power stations are at risk. The large number of inhabitants will hamper protective response actions. Consequently, Canadian authorities keep lax protective action levels. Using more stringent levels would mean to extend the protection zone that would include a too large number of persons. Canadian authorities should openly acknowledge that a severe nuclear accident could happen in Ontario like in any other country and trigger a complete reorganisation of emergency preparedness and response (EP and R) to cope with such a possibility. New response plans should be defined with the involvement of stakeholders

  20. Profiling medical school learning environments in Malaysia: a validation study of the Johns Hopkins Learning Environment Scale

    Directory of Open Access Journals (Sweden)

    Sean Tackett

    2015-07-01

    Full Text Available Purpose: While a strong learning environment is critical to medical student education, the assessment of medical school learning environments has confounded researchers. Our goal was to assess the validity and utility of the Johns Hopkins Learning Environment Scale (JHLES for preclinical students at three Malaysian medical schools with distinct educational and institutional models. Two schools were new international partnerships, and the third was school leaver program established without international partnership. Methods: First- and second-year students responded anonymously to surveys at the end of the academic year. The surveys included the JHLES, a 28-item survey using five-point Likert scale response options, the Dundee Ready Educational Environment Measure (DREEM, the most widely used method to assess learning environments internationally, a personal growth scale, and single-item global learning environment assessment variables. Results: The overall response rate was 369/429 (86%. After adjusting for the medical school year, gender, and ethnicity of the respondents, the JHLES detected differences across institutions in four out of seven domains (57%, with each school having a unique domain profile. The DREEM detected differences in one out of five categories (20%. The JHLES was more strongly correlated than the DREEM to two thirds of the single-item variables and the personal growth scale. The JHLES showed high internal reliability for the total score (α=0.92 and the seven domains (α, 0.56-0.85. Conclusion: The JHLES detected variation between learning environment domains across three educational settings, thereby creating unique learning environment profiles. Interpretation of these profiles may allow schools to understand how they are currently supporting trainees and identify areas needing attention.

  1. Pupils' Readiness for Self-Regulated Learning in the Forethought Phase of Exploratory Production

    Science.gov (United States)

    Metsärinne, Mika; Kallio, Manne; Virta, Kalle

    2015-01-01

    This article discusses pupils' readiness for self-regulation in Exploratory Production in Technology Education. In the forethought phase of Exploratory Production, pupils envision and regulate their technological production activities. Next, in the performance phase, the envisioned goals are tried and implemented through ideating, planning and…

  2. Integrated Contextual Learning and Food Science Students' Perception of Work Readiness

    Science.gov (United States)

    Coorey, Ranil; Firth, Ann

    2013-01-01

    The expectation that universities will produce graduates with high levels of work readiness is now a commonplace in government policies and statements from industry representatives. Meeting the demand requires that students gain industry related experience before graduation. Traditionally students have done so by undertaking extended work…

  3. Measuring readiness for and satisfaction with a hand hygiene e-learning course among healthcare workers in a paediatric oncology centre in Guatemala City.

    Science.gov (United States)

    Gonzalez, Miriam L; Melgar, Mario; Homsi, Maysam; Shuler, Ana; Antillon-Klussmann, Federico; Matheu, Laura; Ramirez, Marylin; Grant, Michael M; Lowther, Deborah L; Relyea, George; Caniza, Miguela A

    2016-01-01

    E-learning has been widely used in the infection control field and has been recommended for use in hand hygiene (HH) programs by the World Health Organization. Such strategies are effective and efficient for infection control, but factors such as learner readiness for this method should be determined to assure feasibility and suitability in low- to middle-income countries. We developed a tailored, e-learning, Spanish-language HH course based on the WHO guidelines for HH in healthcare settings for the pediatric cancer center in Guatemala City. We aimed to identify e-readiness factors that influenced HH course completion and evaluate HCWs' satisfaction. Pearson's chi-square test of independence was used to retrospectively compare e-readiness factors and course-completion status (completed, non-completed, and never-started). We surveyed 194 HCWs for e-readiness; 116 HCWs self-enrolled in the HH course, and 55 responded to the satisfaction survey. Most e-readiness factors were statistically significant between course-completion groups. Moreover, students were significantly more likely to complete the course if they had a computer with an Internet connection (P=0.001) and self-reported comfort with using a computer several times a week (p=0.001) and communicating through online technologies (p=0.001). Previous online course experience was not a significant factor (p=0.819). E-readiness score averages varied among HCWs, and mean scores for all e-readiness factors were significantly higher among medical doctors than among nurses. Nearly all respondents to the satisfaction survey agreed that e-learning was as effective as the traditional teaching method. Evaluating HCWs' e-readiness is essential while integrating technologies into educational programs in low- to middle-income countries.

  4. Modeling Students' Readiness to Adopt Mobile Learning in Higher Education: An Empirical Study

    Science.gov (United States)

    Al-Adwan, Ahmad Samed; Al-Madadha, Amr; Zvirzdinaite, Zahra

    2018-01-01

    Mobile devices are increasingly coming to penetrate people's daily lives. Mobile learning (m-learning) is viewed as key to the coming era of electronic learning (e-learning). In the meantime, the use of mobile devices for learning has made a significant contribution to delivering education among higher education students worldwide. However, while…

  5. An Investigation of University Student Readiness Towards M-Learning Using Technology Acceptance Model

    Science.gov (United States)

    Iqbal, Shakeel; Bhatti, Zeeshan Ahmed

    2015-01-01

    M-learning is learning delivered via mobile devices and mobile technology. The research indicates that this medium of learning has potential to enhance formal as well as informal learning. However, acceptance of m-learning greatly depends upon the personal attitude of students towards this medium; therefore this study focuses only on the…

  6. The Validation of the Active Learning in Health Professions Scale

    Science.gov (United States)

    Kammer, Rebecca; Schreiner, Laurie; Kim, Young K.; Denial, Aurora

    2015-01-01

    There is a need for an assessment tool for evaluating the effectiveness of active learning strategies such as problem-based learning in promoting deep learning and clinical reasoning skills within the dual environments of didactic and clinical settings in health professions education. The Active Learning in Health Professions Scale (ALPHS)…

  7. Millions Learning: Scaling up Quality Education in Developing Countries

    Science.gov (United States)

    Robinson, Jenny Perlman; Winthrop, Rebecca

    2016-01-01

    "Millions Learning: Scaling up Quality Education in Developing Countries" tells the story of where and how quality education has scaled in low- and middle-income countries. The story emerges from wide-ranging research on scaling and learning, including 14 in-depth case studies from around the globe. Ultimately, "Millions…

  8. Emotional Presence in Online Learning Scale: A Scale Development Study

    Science.gov (United States)

    Sarsar, Firat; Kisla, Tarik

    2016-01-01

    Although emotions are not a new topic in learning environments, the emerging technologies have changed not only the type of learning environments but also the perspectives of emotions in learning environments. This study designed to develop a survey to assist online instructors to understand students' emotional statement in online learning…

  9. PSYCHOLOGICAL STRATEGY OF COOPERATION, MOTIVATIONAL, INFORMATION AND TECHNOLOGICAL COMPONENTS OF FUTURE HUMANITARIAN TEACHER READINESS FOR PROFESSIONAL ACTIVITY IN POLYSUBJECTIVE LEARNING ENVIRONMENT

    Directory of Open Access Journals (Sweden)

    Y. Spivakovska

    2014-04-01

    Full Text Available Redefining of modern information and communication technologies (ICT from teaching aids to teaching process subjects, continuous growth of their subjectivity necessary demands appropriate knowledge, skills, appropriate attitude to didactic capabilities of ICT, ability to cooperate with them and to build pupils learning activity aimed at formation and development of self organization, self development skills, promoting their subjective position in getting education that will be readiness of modern teacher to organize effective professional activities in polysubjective learning environment (PLE. The new tasks of humanitarian teacher related to self selection and design of educational content as well as the modeling of the learning process in conditions of PLE virtualized alternatives choice, impose special requirements to professionally important teacher’s personality qualities, rather to his readiness to implement effective professional work in such conditions. In this article the essence of future humanitarian teacher readiness concept to professional activity in polysubjective educational environment is proved. The structure of the readiness is analyzed. Psychological strategy of cooperation, reflective, motivational and informational partials are substantiated and characterized as components of the future humanitarian teacher readiness to professional activities in polysubjective educational environment.

  10. The learning environment as a mediating variable between self-directed learning readiness and academic performance of a sample of saudi nursing and medical emergency students.

    Science.gov (United States)

    Alotaibi, Khaled N

    2016-01-01

    There has been some ground-breaking research on self-directed learning (SDL) in nursing education which reveals the superiority of SDL to traditional learning methods in terms of students' academic performance and the development of positive attitudes toward the learning process on the part of both students and teachers. The relationship between students' self-directed learning readiness (SDLR) and students' academic performance, and the mediating role of students' perceptions of the learning environment needs further investigation. In this study, it is proposed that students' perceptions of their learning environment could enhance their SDLR and thus boost their academic performance (in terms of their GPA). A descriptive design was used to examine the relationships between the domains of SDLR, which are self-management, desire to learn and self-control and students' perceptions of the learning environment (SPLE) and students' GPA. A survey involving 342 [Corrected] Saudi students from nursing and emergency medical services undergraduate programs in King Saud University was used for this research. The results showed that SDLR level positively influenced students' academic performance positively, and that students' perceptions of their learning environment played a significant role in determining their level of SDLR and academic performance. It is recommended that nursing and emergency medical services educators provide a supportive learning environment in terms of good teaching, clear goals and standards, appropriate assessment, appropriate workload, and emphasis on independence to encourage students to engage in the process of SDL which can, in turn, enhance their academic performance. Copyright © 2015 Elsevier Ltd. All rights reserved.

  11. Exploring Instructors' Technology Readiness, Attitudes and Behavioral Intentions towards E-Learning Technologies in Egypt and United Arab Emirates

    Science.gov (United States)

    El Alfy, Shahira; Gómez, Jorge Marx; Ivanov, Danail

    2017-01-01

    This paper explores the association between technology readiness, (a meta-construct consisting of optimism, innovativeness, discomfort, and insecurity), attitude, and behavioral intention towards e-learning technologies adoption within an education institution context. The empirical study data is collected at two private universities located in…

  12. The Investigation of the Level of Self-Directed Learning Readiness According to the Locus of Control and Personality Traits of Preschool Teacher Candidates

    Science.gov (United States)

    Balaban Dagal, Asude; Bayindir, Dilan

    2016-01-01

    The aim of this study is to investigate the relationship between the level of self-directed learning readiness, locus of control and the personality traits of preschool teacher candidates. The survey method was used for this study. The study group consisted of 151 teacher candidates who volunteered to participate in the study from Preschool…

  13. The Investigation of the Relationship between the Level of Metacognitive Awareness, Self-Directed Learning Readiness and Academic Achievement of Preschool Teacher Candidates

    Science.gov (United States)

    Dagal, Asude Balaban; Bayindir, Dilan

    2016-01-01

    The aim of the study is to examine the relationship between the level of metacognitive awareness, self-directed learning readiness and academic achievement of preschool teacher candidates. The study group of the research, which was designed in survey method, included 151 teacher candidates from Atatürk Education Faculty, Preschool Teaching…

  14. Readiness of Pre-Service Business Education Teachers for Web-Based E-Learning in Colleges of Education in North-East Nigeria

    Science.gov (United States)

    Enemali, Victoria Amelia; Aliyu, M. B.; Bulama, K. H.

    2016-01-01

    This study examined the level of preparedness or readiness for use of e-learning amongst pre-service business education teachers in Colleges of Education in North East Nigeria. One research question and one hypothesis guided this study. This study was a sample survey, in which a 51-item structured questionnaire was used to collect data. The…

  15. Fit, Healthy, and Ready To Learn: A School Health Policy Guide. Part II: Policies To Promote Sun Safety and Prevent Skin Cancer.

    Science.gov (United States)

    Fraser, Katherine

    This publication is a supplementary chapter to "Fit, Healthy, and Ready to Learn: A School Health Policy Guide; Part I: General School Health Policies, Physical Activity, Healthy Eating, and Tobacco-Use Prevention." It discusses various aspects of a complete school policy and plan to promote sun safety. The first section "Purpose…

  16. Family Support or School Readiness? Contrasting Models of Public Spending on Children's Early Care and Learning. Evidence Speaks Reports, Vol 1, #16

    Science.gov (United States)

    Whitehurst, Grover J.

    2016-01-01

    In the United States, public policy and expenditure intended to improve the prospects of children from low-income families have focused on better preparing children for school through Head Start and universal pre-K. This school readiness approach differs from the dominant model of public support for early care and learning in Northern Europe,…

  17. Readiness to adopt e-learning: pioneering a course in school librarianship education

    Directory of Open Access Journals (Sweden)

    Sandy Zinn

    2009-01-01

    Full Text Available E-learning has come of age in South African higher education but scepticism, caution and an inadequate reward system for innovative teaching methods have resulted in a slow uptake by academics. Within this milieu the author pioneered a course in the ACE School Librarianship programme. The study describes the e-learning experiences of the course participants gleaned from questionnaire responses to questions related to experiences of ICTs, the Internet and online learning, ability to navigate the e-learning environment, utilization of elements of the learning management system and implementation of course ideas in their respective schools and personal lives. The study also provides an opportunity for the author to reflect on her pioneering experiences with e-learning and how she would approach it differently next time. The main lessons learned were that 1 the e-learning environment is not necessarily intuitive and participants need opportunities to digest novel features such as the discussion forum; 2 several of the advantages and disadvantages of e-learning that appear in the research literature are identified in this study; and 3 setting up an e-learning course is best achieved incrementally.

  18. The readiness of teachers to integrate information and communication technology for learning in a selected school in the GautengOnline project.

    OpenAIRE

    2008-01-01

    This study is aimed at providing the reader with a detailed description of the readiness of teachers to integrate Information and Communication Technology (ICT) for learning in a selected school in the GautengOnline (GoL) Project, through qualitative research design that used various data collecting methods: Questionnaire, observations and interview. A large number of teachers showed some interest in using ICT learning but had difficulties on how to get started due to the lack of suitable ICT...

  19. The Learning Behaviors Scale: National Standardization in Trinidad and Tobago

    Science.gov (United States)

    Chao, Jessica L.; McDermott, Paul A.; Watkins, Marley W.; Drogalis, Anna Rhoad; Worrell, Frank C.; Hall, Tracey E.

    2018-01-01

    This study reports on the national standardization and validation of the Learning Behaviors Scale (LBS) for use in Trinidad and Tobago. The LBS is a teacher rating scale centering on observable behaviors relevant to identifying childhood approaches to classroom learning. Teachers observed a stratified sample of 900 students across the islands'…

  20. The Impacts of Personal Qualities on Online Learning Readiness at Curtin Sarawak Malaysia (CSM)

    Science.gov (United States)

    Lau, Chun Yun; Shaikh, Junaid M.

    2012-01-01

    Nowadays many educational institutions have embraced online education to cater for flexible and student-centered learning. Through online education, students have an opportunity to gain education at their own convenience, in terms of time and place. However, it is argued that students are less satisfied with online learning than with traditional…

  1. Developing a "Social Presence Scale" for E-Learning Environments

    Science.gov (United States)

    Kilic Cakmak, Ebru; Cebi, Ayça; Kan, Adnan

    2014-01-01

    The purpose of the current study is to develop a "social presence scale" for e-learning environments. A systematic approach was followed for developing the scale. The scale was applied to 461 students registered in seven different programs at Gazi University. The sample was split into two subsamples on a random basis (n1 = 261; n2 =…

  2. Promoting readiness to practice: which learning activities promote competence and professional identity for student social workers during practice learning?

    OpenAIRE

    Roulston, Audrey; Cleak, Helen; Vreugdenhil, Anthea

    2016-01-01

    Practice learning is integral to the curriculum for qualifying social work students. Accreditation standards require regular student supervision and exposure to specific learning activities. Most agencies offer high quality placements but organisational cutbacks may affect supervision and restrict the development of competence and professional identity. Undergraduate social work students in Northern Ireland universities (n = 396) were surveyed about the usefulness of the learning activities t...

  3. Relative levels of eLearning readiness, applications and trainee requirements in Botswana’s Private Sector

    Directory of Open Access Journals (Sweden)

    Paul T. Nleya

    2009-09-01

    Full Text Available Abstract The rapid growth and modernization of economies in developing countries like Botswana creates new and unmet demands for certain kinds of educated and skilled labour. The expansion of secondary and tertiary school systems has also created a problem of unemployed school leavers. The growth of Information and Communication Technologies (ICTs, globalization and the digital divide likewise, have together put new pressures on developing countries to accelerate their development to meet these demands. This paper reports the results of a survey that sought to assess levels of eLearning readiness, applications and trainee requirements in Botswana’s private sector. Such baseline data can inform policymakers and researchers and promote the transformation required of private sector companies to become learning organizations. The findings suggested that eLearning readiness (eReadiness levels were moderate to low, and that archaic technology (i. e., overhead projection was used by more than half of the private sector organizations for training (with far less than half using digital eLearning applications. While the overall findings suggested low levels of eLearning readiness, applications and trainee requirements in Botswana’s private sector, seventy percent of trainers reported that their organizations encouraged them to acquire basic computer skills to facilitate eLearning. The current eLearning situation in Botswana, and the literature reviewed, demonstrates that the integration of ICTs in both developing and developed countries was a gradual process. Public-Private Partnerships (PPPs have expedited the change process in developed countries. However, several limitations are associated with such partnerships and this renders lessons for developing countries to emulate. Résumé La croissance et la modernisation rapides des économies des pays en voie de développement comme le Botswana créent des demandes nouvelles et non satisfaites pour

  4. Reanalysis of Validation of Tool to Assess Readiness for Online Learning

    National Research Council Canada - National Science Library

    Le, Huy A; Sager, Christopher E; Young, Mark C

    2006-01-01

    .... Scales measuring five theoretically relevant constructs (i.e., Motivation/Self-Determination, Intolerance of Ambiguity, Performance Goal Orientation, Need for Social Interaction, and Study Skills/Conscientiousness...

  5. Active Learning of Classification Models with Likert-Scale Feedback.

    Science.gov (United States)

    Xue, Yanbing; Hauskrecht, Milos

    2017-01-01

    Annotation of classification data by humans can be a time-consuming and tedious process. Finding ways of reducing the annotation effort is critical for building the classification models in practice and for applying them to a variety of classification tasks. In this paper, we develop a new active learning framework that combines two strategies to reduce the annotation effort. First, it relies on label uncertainty information obtained from the human in terms of the Likert-scale feedback. Second, it uses active learning to annotate examples with the greatest expected change. We propose a Bayesian approach to calculate the expectation and an incremental SVM solver to reduce the time complexity of the solvers. We show the combination of our active learning strategy and the Likert-scale feedback can learn classification models more rapidly and with a smaller number of labeled instances than methods that rely on either Likert-scale labels or active learning alone.

  6. Cognitive Readiness

    National Research Council Canada - National Science Library

    Morrison, John

    2002-01-01

    Cognitive readiness is described as the mental preparation an individual needs to establish and sustain competent performance in the complex and unpredictable environment of modern military operations...

  7. Experiential Learning in Occupational Therapy: Can It Enhance Readiness for Clinical Practice?

    Science.gov (United States)

    Knecht-Sabres, Lisa Jean

    2013-01-01

    This mixed method study examined the effectiveness of experiential learning opportunities near the end of the occupational therapy students' didactic education. A pretest/posttest design with a gain score approach was used to determine whether there was a significant improvement in the occupational therapy students' self-perception of their…

  8. Revisiting Professional Learning Communities to Increase College Readiness: The Importance of Pedagogical Content Knowledge

    Science.gov (United States)

    Bausmith, Jennifer Merriman; Barry, Carol

    2011-01-01

    For over a decade, professional learning communities (PLCs) have been touted as an effective way to build upon the knowledge and skills of experienced teachers, yet much of the evidence base is derived from self-reports by practitioners. Although several generations of school reform (the standards movement, No Child Left Behind, and now the Common…

  9. The Relationship between Self-Directed Learning Readiness and Student Retention in Nursing Education

    Science.gov (United States)

    Larmon, Brandy H.

    2015-01-01

    Retention in higher education, especially nursing education, is a concern for nurse educators. Due to the needs of nurse graduates and practicing nurses, the characteristic of self-directed learning in students is often an educational goal of a rigorous nursing curriculum. Program retention is often impacted by such demands. This study, based upon…

  10. Are Commercial "Personal Robots" Ready for Language Learning? Focus on Second Language Speech

    Science.gov (United States)

    Moussalli, Souheila; Cardoso, Walcir

    2016-01-01

    Today's language classrooms are challenged with limited classroom time and lack of input, and output practice in a stress-free environment (Hsu, 2015). The use of commercial, readily available tools such as Personal Robots (PRs; e.g. Amazon's Echo, Jibo) might promote language learning by freeing up class time, allowing for a more focused…

  11. Students' Perceptions and Readiness towards Mobile Learning in Colleges of Education: A Nigerian Perspective

    Science.gov (United States)

    Chaka, John Gyang; Govender, Irene

    2017-01-01

    Access to quality education is becoming a huge challenge in Nigeria, in view of the exponential growth in its population, coupled with ethno-religious crises and other acts of terrorism. A large chunk of the country's population--about 26% have no access to education, as existing teaching and learning facilities have become inadequate. Some…

  12. Prioritizing Elementary School Writing Instruction: Cultivating Middle School Readiness for Students with Learning Disabilities

    Science.gov (United States)

    Ciullo, Stephen; Mason, Linda

    2017-01-01

    Helping elementary students with learning disabilities (LD) prepare for the rigor of middle school writing is an instructional priority. Fortunately, several standards-based skills in upper elementary school and middle school overlap. Teachers in upper elementary grades, specifically fourth and fifth grades, have the opportunity to provide…

  13. Newton Methods for Large Scale Problems in Machine Learning

    Science.gov (United States)

    Hansen, Samantha Leigh

    2014-01-01

    The focus of this thesis is on practical ways of designing optimization algorithms for minimizing large-scale nonlinear functions with applications in machine learning. Chapter 1 introduces the overarching ideas in the thesis. Chapters 2 and 3 are geared towards supervised machine learning applications that involve minimizing a sum of loss…

  14. Large-Scale Machine Learning for Classification and Search

    Science.gov (United States)

    Liu, Wei

    2012-01-01

    With the rapid development of the Internet, nowadays tremendous amounts of data including images and videos, up to millions or billions, can be collected for training machine learning models. Inspired by this trend, this thesis is dedicated to developing large-scale machine learning techniques for the purpose of making classification and nearest…

  15. Development of the Self-Directed Learning Skills Scale

    Science.gov (United States)

    Ayyildiz, Yildizay; Tarhan, Leman

    2015-01-01

    The purpose of this study was to develop a valid and reliable scale for assessing high school students' self-directed learning skills. Based on a literature review and data obtained from similar instruments, all skills related to self-directed learning were identified. Next, an item pool was prepared and administered to 255 students from various…

  16. The Sea of Simulation: Improving Naval Shiphandling Training and Readiness through Game-Based Learning

    Science.gov (United States)

    2012-03-01

    playing any video game on a computer in the last 6 months (non-console, Xbox , PS3)? (e.g., hours, days, weeks, months, etc.) Participant...COVE) shiphandling trainer. Students were later evaluated in COVE on their ability to maneuver a Guided Missile Destroyer, a similarly configured but...characteristics of one model and learning a new one through the course of their instruction. Our findings suggest that an individually accessible, game based

  17. Blackthorn: Large-Scale Interactive Multimodal Learning

    DEFF Research Database (Denmark)

    Zahálka, Jan; Rudinac, Stevan; Jónsson, Björn Thór

    2018-01-01

    learning process. The Ratio-64 data representation introduced in this work only costs tens of bytes per item yet preserves most of the visual and textual semantic information with good accuracy. The optimized interactive learning model scores the Ratio-64- compressed data directly, greatly reducing...... outperforming the baseline with respect to the relevance of results: it vastly outperforms the baseline on recall over time and reaches up to 108% of its precision. Compared to the product quantization variant, Blackthorn is just as fast, while producing more relevant results. On the full YFCC100M dataset...

  18. Less is more: regularization perspectives on large scale machine learning

    CERN Multimedia

    CERN. Geneva

    2017-01-01

    Deep learning based techniques provide a possible solution at the expanse of theoretical guidance and, especially, of computational requirements. It is then a key challenge for large scale machine learning to devise approaches guaranteed to be accurate and yet computationally efficient. In this talk, we will consider a regularization perspectives on machine learning appealing to classical ideas in linear algebra and inverse problems to scale-up dramatically nonparametric methods such as kernel methods, often dismissed because of prohibitive costs. Our analysis derives optimal theoretical guarantees while providing experimental results at par or out-performing state of the art approaches.

  19. Reflections on the Ready to Learn Initiative 2010 to 2015: How a Federal Program in Partnership with Public Media Supported Young Children's Equitable Learning during a Time of Great Change

    Science.gov (United States)

    Pasnik, Shelley; Llorente, Carlin; Hupert, Naomi; Moorthy, Savitha

    2016-01-01

    "Reflections on the Ready to Learn Initiative, 2010 to 2015," draws upon interviews with 26 prominent children's media researchers, producers, and thought leaders and a review of scholarly articles and reports to provide a big picture view of the status and future directions of children's media. In this illuminating report, EDC and SRI…

  20. Teraflop-scale Incremental Machine Learning

    OpenAIRE

    Özkural, Eray

    2011-01-01

    We propose a long-term memory design for artificial general intelligence based on Solomonoff's incremental machine learning methods. We use R5RS Scheme and its standard library with a few omissions as the reference machine. We introduce a Levin Search variant based on Stochastic Context Free Grammar together with four synergistic update algorithms that use the same grammar as a guiding probability distribution of programs. The update algorithms include adjusting production probabilities, re-u...

  1. MetEd Learning Resources from COMET: Assisting With User Readiness for the JPSS Era

    Science.gov (United States)

    Bol, A.; Page, E. M.; Dills, P. N.; Lee, T.; Weingroff, M.; Stevermer, A.

    2017-12-01

    The COMET® Program (www.comet.ucar.edu) is funded by NOAA NESDIS as well as EUMETSAT and the Meteorological Service of Canada to develop and deliver education and training in satellite meteorology. COMET's self-paced online training resources are freely available 24/7/365 via the MetEd Website (meted.ucar.edu) to help learners stay current regarding new instruments, capabilities, products and applications. Experts from NOAA-NESDIS and its Cooperative Institutes, the Meteorological Service of Canada, EUMETSAT, the Naval Research Laboratory and others, work with COMET staff to create lessons that encourage greater use of current and future satellite observations and products. As of fall 2017, over 90 satellite-focused, interactive lessons are available in English via the MetEd Web site at http://meted.ucar.edu/topics/satellite. Many of these lessons are also available in Spanish and French, with some Portuguese offerings also available, making learning resources more accessible to a larger international audience. This presentation will focus on COMET's satellite training offerings that are directly applicable to helping users learn more about the capabilities of the S-NPP and JPSS satellite series just in time for JPSS-1 becoming operational. MetEd's educational offerings include lessons on the VIIRS imager and its applications, and a recently updated lesson on nighttime visible observation using the VIIRS Day-Night Band. We'll show how the lessons introduce users to the advances these systems bring to forecasting, numerical weather prediction, and environmental monitoring. We'll also highlight newly developed lessons covering various aspects of JPSS for National Weather Service forecasters, and discuss current and future work.

  2. Learning from large scale neural simulations

    DEFF Research Database (Denmark)

    Serban, Maria

    2017-01-01

    Large-scale neural simulations have the marks of a distinct methodology which can be fruitfully deployed to advance scientific understanding of the human brain. Computer simulation studies can be used to produce surrogate observational data for better conceptual models and new how...

  3. Developing Scale for Assimilate the Integration between Learning Theories and E-learning.

    Directory of Open Access Journals (Sweden)

    George Maher Iskander

    2014-03-01

    Full Text Available As e-learning tend to get more and more significant for all kind of universities, researchers and consultants are becoming aware of the fact that a high technology approach and Blackboard do not guarantee successful teaching and learning. Thus, a move to pedagogy-based theories can be observed within the field of e-learning. This study describes the procedure of the development of an empirically-based psychometrically-sound instrument to measure instructional model for e-learning system at Middle East universities. In order to accelerate the acceptance of e-learning and implementation of institution-wide adoption of e-learning, it is important to understand students' perceptions with instructional model for e- learning. The 19-item scale developed shows a high probability of differentiating between positive and negative perceptions and the methods which can be used for embedding the traditional learning theories into e-learning.

  4. Human learning: Power laws or multiple characteristic time scales?

    Directory of Open Access Journals (Sweden)

    Gottfried Mayer-Kress

    2006-09-01

    Full Text Available The central proposal of A. Newell and Rosenbloom (1981 was that the power law is the ubiquitous law of learning. This proposition is discussed in the context of the key factors that led to the acceptance of the power law as the function of learning. We then outline the principles of an epigenetic landscape framework for considering the role of the characteristic time scales of learning and an approach to system identification of the processes of performance dynamics. In this view, the change of performance over time is the product of a superposition of characteristic exponential time scales that reflect the influence of different processes. This theoretical approach can reproduce the traditional power law of practice – within the experimental resolution of performance data sets - but we hypothesize that this function may prove to be a special and perhaps idealized case of learning.

  5. Readiness for self-directed change in professional behaviours: factorial validation of the Self-Reflection and Insight Scale.

    Science.gov (United States)

    Roberts, Chris; Stark, Patsy

    2008-11-01

    Self-reflection, the practice of inspecting and evaluating one's own thoughts, feelings and behaviour, and insight, the ability to understand one's own thoughts, feelings and behaviour, are central to the self-regulation of behaviours. The Self-Reflection and Insight Scale (SRIS) measures three factors in the self-regulation cycle: need for reflection; engagement in reflection, and insight. We used structural equation modelling to undertake a confirmatory factor analysis of the SRIS. We re-specified our model to analyse all of the data to explain relationships between the SRIS, medical student characteristics, and responses to issues of teaching and learning in professionalism. The factorial validity of a modified SRIS showed all items loading significantly on their expected factors, with a good fit to the data. Each subscale had good internal reliability (> 0.8). There was a strong relationship between the need for reflection and engagement in reflection (r = 0.77). Insight was related to need for reflection (0.22) and age (0.21), but not to the process of engaging in reflection (0.06). Validation of the SRIS provides researchers with a new instrument with which to measure and investigate the processes of self-reflection and insight in the context of students' self-regulation of their professionalism. Insight is related to the motive or need for reflection, but the process of reflection does not lead to insight. Attending to feelings is an important and integral aspect of self-reflection and insight. Effective strategies are needed to develop students' insight as they reflect on their professionalism.

  6. Learning in an estimated medium-scale DSGE model

    Czech Academy of Sciences Publication Activity Database

    Slobodyan, Sergey; Wouters, R.

    2012-01-01

    Roč. 36, č. 1 (2012), s. 26-46 ISSN 0165-1889 R&D Projects: GA ČR(CZ) GCP402/11/J018 Institutional support: PRVOUK-P23 Keywords : constant-gain adaptive learning * medium-scale DSGE model * DSGE- VAR Subject RIV: AH - Economics Impact factor: 0.807, year: 2012

  7. Deep Feature Learning and Cascaded Classifier for Large Scale Data

    DEFF Research Database (Denmark)

    Prasoon, Adhish

    from data rather than having a predefined feature set. We explore deep learning approach of convolutional neural network (CNN) for segmenting three dimensional medical images. We propose a novel system integrating three 2D CNNs, which have a one-to-one association with the xy, yz and zx planes of 3D......This thesis focuses on voxel/pixel classification based approaches for image segmentation. The main application is segmentation of articular cartilage in knee MRIs. The first major contribution of the thesis deals with large scale machine learning problems. Many medical imaging problems need huge...... amount of training data to cover sufficient biological variability. Learning methods scaling badly with number of training data points cannot be used in such scenarios. This may restrict the usage of many powerful classifiers having excellent generalization ability. We propose a cascaded classifier which...

  8. An augmented Lagrangian multi-scale dictionary learning algorithm

    Directory of Open Access Journals (Sweden)

    Ye Meng

    2011-01-01

    Full Text Available Abstract Learning overcomplete dictionaries for sparse signal representation has become a hot topic fascinated by many researchers in the recent years, while most of the existing approaches have a serious problem that they always lead to local minima. In this article, we present a novel augmented Lagrangian multi-scale dictionary learning algorithm (ALM-DL, which is achieved by first recasting the constrained dictionary learning problem into an AL scheme, and then updating the dictionary after each inner iteration of the scheme during which majorization-minimization technique is employed for solving the inner subproblem. Refining the dictionary from low scale to high makes the proposed method less dependent on the initial dictionary hence avoiding local optima. Numerical tests for synthetic data and denoising applications on real images demonstrate the superior performance of the proposed approach.

  9. Prototype Vector Machine for Large Scale Semi-Supervised Learning

    Energy Technology Data Exchange (ETDEWEB)

    Zhang, Kai; Kwok, James T.; Parvin, Bahram

    2009-04-29

    Practicaldataminingrarelyfalls exactlyinto the supervisedlearning scenario. Rather, the growing amount of unlabeled data poses a big challenge to large-scale semi-supervised learning (SSL). We note that the computationalintensivenessofgraph-based SSLarises largely from the manifold or graph regularization, which in turn lead to large models that are dificult to handle. To alleviate this, we proposed the prototype vector machine (PVM), a highlyscalable,graph-based algorithm for large-scale SSL. Our key innovation is the use of"prototypes vectors" for effcient approximation on both the graph-based regularizer and model representation. The choice of prototypes are grounded upon two important criteria: they not only perform effective low-rank approximation of the kernel matrix, but also span a model suffering the minimum information loss compared with the complete model. We demonstrate encouraging performance and appealing scaling properties of the PVM on a number of machine learning benchmark data sets.

  10. Adaptation and learning: characteristic time scales of performance dynamics.

    Science.gov (United States)

    Newell, Karl M; Mayer-Kress, Gottfried; Hong, S Lee; Liu, Yeou-Teh

    2009-12-01

    A multiple time scales landscape model is presented that reveals structures of performance dynamics that were not resolved in the traditional power law analysis of motor learning. It shows the co-existence of separate processes during and between practice sessions that evolve in two independent dimensions characterized by time scales that differ by about an order of magnitude. Performance along the slow persistent dimension of learning improves often as much and sometimes more during rest (memory consolidation and/or insight generation processes) than during a practice session itself. In contrast, the process characterized by the fast, transient dimension of adaptation reverses direction between practice sessions, thereby significantly degrading performance at the beginning of the next practice session (warm-up decrement). The theoretical model fits qualitatively and quantitatively the data from Snoddy's [Snoddy, G. S. (1926). Learning and stability. Journal of Applied Psychology, 10, 1-36] classic learning study of mirror tracing and other averaged and individual data sets, and provides a new account of the processes of change in adaptation and learning. 2009 Elsevier B.V. All rights reserved.

  11. Cooperative learning benefits scale: construction and validation studies

    Directory of Open Access Journals (Sweden)

    José Lopes

    2014-07-01

    Full Text Available The aim of this study was to develop and validate a scale of benefits of the Cooperative Learning (SBCL given the exiguity of instruments that evaluate these outputs of the method. The study resorted to a convenience sample comprised of 162 students, males and females, aged between 11 and 18 years. The final instrument has 23 items in a two-dimensional factor structure: psychological and academic benefits and social benefits. The results indicate that the SBCL present good psychometric properties (construct and discriminant validity and reliability. The results are discussed in light of the model of cooperative learning.

  12. Readiness for Solving Story Problems.

    Science.gov (United States)

    Dunlap, William F.

    1982-01-01

    Readiness activities are described which are designed to help learning disabled (LD) students learn to perform computations in story problems. Activities proceed from concrete objects to numbers and involve the students in devising story problems. The language experience approach is incorporated with the enactive, iconic, and symbolic levels of…

  13. Bulk Scale Formulation of Therapeutic Doses of Clinical Grade Ready-to-Use 177Lu-DOTA-TATE: The Intricate Radiochemistry Aspects.

    Science.gov (United States)

    Mathur, Anupam; Prashant, Vrinda; Sakhare, Navin; Chakraborty, Sudipta; Vimalnath, K V; Mohan, Repaka Krishna; Arjun, Chanda; Karkhanis, Barkha; Seshan, Ravi; Basu, Sandip; Korde, Aruna; Banerjee, Sharmila; Dash, Ashutosh; Sachdev, Satbir Singh

    2017-09-01

    177 Lu-DOTA-TATE is a clinically useful and promising therapeutic radiopharmaceutical for peptide receptor radionuclide therapy of neuroendocrine tumors (NETs) overexpressing somatostatin receptors. Currently, the radiopharmaceutical is prepared in-house at nuclear medicine centers, thereby restricting its use to limited centers only. In this article, the authors describe systematic studies toward bulk scale formulation of "ready-to-use" 177 Lu-DOTA-TATE using medium specific activity 177 Lu (740-1110 GBq/mg) at a centralized radiopharmacy facility. In an optimized protocol, 177 Lu-DOTA-TATE synthesis was carried out by direct heating of 177 LuCl 3 (Sp. act. 740-1110 GBq/mg) with DOTA-TATE peptide (1.5-3.0 equivalents) in ammonium acetate buffer (0.2 M) containing 2,5-dihydroxy benzoic acid (gentisic acid). Thereafter, the crude labeled product was purified using a Sep-Pak ® C18 column and diluted with acetate buffer-gentisic acid (1.5% w/v) solution to final radioactive concentration of 740 MBq/mL. This was further sterilized and dispensed as 7.4 GBq patient dose/vial with 2 days postformulation calibration. A peptide/metal ratio of 1.5-3.0 is essential for complexation wherein radiolabeling yields >90% are obtained minimizing free 177 Lu waste. For formulation of 7.4 GBq patient dose (2 days postproduction), even specific activity of about 555 GBq/mg was found to be adequate for the radiometal. The ready-to-use 740 MBq/mL 177 Lu-DOTA-TATE formulation with gentisic acid (1.5% w/v) is observed to be safe for human use for more than 1 week (radiochemical purity >98%) from the day of production when stored at -70°C. However, the target specificity may get affected beyond 2 days as the total peptide content for 7.4 GBq dose may exceed the critical peptide limit of 300 μg. Patient treatment carried with several batches of present formulation in diseased NET patients exhibited desired distribution at the tumor and its metastatic site. A ready

  14. Nigerian Physiotherapy Clinical Students' Perception of Their Learning Environment Measured by the Dundee Ready Education Environment Measure Inventory

    Science.gov (United States)

    Odole, Adesola C.; Oyewole, Olufemi O.; Ogunmola, Oluwasolape T.

    2014-01-01

    The identification of the learning environment and the understanding of how students learn will help teacher to facilitate learning and plan a curriculum to achieve the learning outcomes. The purpose of this study was to investigate undergraduate physiotherapy clinical students' perception of University of Ibadan's learning environment. Using the…

  15. Medical laboratory science and nursing students' perception of academic learning environment in a Philippine university using Dundee Ready Educational Environment Measure (DREEM).

    Science.gov (United States)

    Barcelo, Jonathan M

    2016-01-01

    This study aimed to compare the perception of the academic learning environment between medical laboratory science students and nursing students at Saint Louis University, Baguio City, Philippines. A cross-sectional survey research design was used to measure the perceptions of the participants. A total of 341 students from the Department of Medical Laboratory Science, School of Natural Sciences, and the School of Nursing answered the Dundee Ready Education Environment Measure (DREEM) instrument from April to May 2016. Responses were compared according to course of study, gender, and year level. The total mean DREEM scores of the medical laboratory science students and nursing students did not differ significantly when grouped according to course of study, gender, or year level. Medical laboratory science students had significantly lower mean scores in the sub-domains 'perception of learning' and 'perception of teaching.' Male medical laboratory science students had significantly lower mean scores in the sub-domain 'perception of learning' among second year students. Medical laboratory science students had significantly lower mean scores in the sub-domain 'perception of learning.' Nursing students identified 7 problem areas, most of which were related to their instructors. Medical laboratory science and nursing students viewed their academic learning environment as 'more positive than negative.' However, the relationship of the nursing instructors to their students needs improvement.

  16. Implementation of an interprofessional team-based learning program involving seven undergraduate health and social care programs from two universities, and students’ evaluation of their readiness for interprofessional learning

    Directory of Open Access Journals (Sweden)

    Lap Ki Chan

    2017-11-01

    Full Text Available Abstract Background Interprofessional learning is gaining momentum in revolutionizing healthcare education. During the academic year 2015/16, seven undergraduate-entry health and social care programs from two universities in Hong Kong took part in an interprofessional education program. Based on considerations such as the large number of students involved and the need to incorporate adult learning principles, team-based learning was adopted as the pedagogy for the program, which was therefore called the interprofessional team-based learning program (IPTBL. The authors describe the development and implementation of the IPTBL program and evaluate the effectiveness of the program implementation. Methods Eight hundred and one students, who are predominantly Chinese, participated in the IPTBL. The quantitative design (a pretest-posttest experimental design was utilized to examine the students’ gains on their readiness to engage in interprofessional education (IPE. Results Three instructional units (IUs were implemented, each around a clinical area which could engage students from complementary health and social care disciplines. Each IU followed a team-based learning (TBL process: pre-class study, individual readiness assurance test, team readiness assurance test, appeal, feedback, and application exercise. An electronic platform was developed and was progressively introduced in the three IUs. The students’ self-perceived attainment of the IPE learning outcomes was high. Across all four subscales of RIPLS, there was significant improvement in student’s readiness to engage in interprofessional learning after the IPTBL. A number of challenges were identified: significant time involvement of the teachers, difficulty in matching students from different programs, difficulty in making IPTBL count towards a summative assessment score, difficulty in developing the LAMS platform, logistics difficulty in managing paper TBL, and inappropriateness of the

  17. Implementation of an interprofessional team-based learning program involving seven undergraduate health and social care programs from two universities, and students' evaluation of their readiness for interprofessional learning.

    Science.gov (United States)

    Chan, Lap Ki; Ganotice, Fraide; Wong, Frances Kam Yuet; Lau, Chak Sing; Bridges, Susan M; Chan, Celia Hoi Yan; Chan, Namkiu; Chan, Phoebe Wing Lam; Chen, Hai Yong; Chen, Julie Yun; Chu, Jody Kwok Pui; Ho, Charlene C; Ho, Jacqueline Mei Chi; Lam, Tai Pong; Lam, Veronica Suk Fun; Li, Qingyun; Shen, Jian Gang; Tanner, Julian Alexander; Tso, Winnie Wan Yee; Wong, Arkers Kwan Ching; Wong, Gordon Tin Chun; Wong, Janet Yuen Ha; Wong, Nai Sum; Worsley, Alan; Yu, Lei King; Yum, Tin Pui

    2017-11-21

    Interprofessional learning is gaining momentum in revolutionizing healthcare education. During the academic year 2015/16, seven undergraduate-entry health and social care programs from two universities in Hong Kong took part in an interprofessional education program. Based on considerations such as the large number of students involved and the need to incorporate adult learning principles, team-based learning was adopted as the pedagogy for the program, which was therefore called the interprofessional team-based learning program (IPTBL). The authors describe the development and implementation of the IPTBL program and evaluate the effectiveness of the program implementation. Eight hundred and one students, who are predominantly Chinese, participated in the IPTBL. The quantitative design (a pretest-posttest experimental design) was utilized to examine the students' gains on their readiness to engage in interprofessional education (IPE). Three instructional units (IUs) were implemented, each around a clinical area which could engage students from complementary health and social care disciplines. Each IU followed a team-based learning (TBL) process: pre-class study, individual readiness assurance test, team readiness assurance test, appeal, feedback, and application exercise. An electronic platform was developed and was progressively introduced in the three IUs. The students' self-perceived attainment of the IPE learning outcomes was high. Across all four subscales of RIPLS, there was significant improvement in student's readiness to engage in interprofessional learning after the IPTBL. A number of challenges were identified: significant time involvement of the teachers, difficulty in matching students from different programs, difficulty in making IPTBL count towards a summative assessment score, difficulty in developing the LAMS platform, logistics difficulty in managing paper TBL, and inappropriateness of the venue. Despite some challenges in developing and

  18. Selective visual scaling of time-scale processes facilitates broadband learning of isometric force frequency tracking.

    Science.gov (United States)

    King, Adam C; Newell, Karl M

    2015-10-01

    The experiment investigated the effect of selectively augmenting faster time scales of visual feedback information on the learning and transfer of continuous isometric force tracking tasks to test the generality of the self-organization of 1/f properties of force output. Three experimental groups tracked an irregular target pattern either under a standard fixed gain condition or with selectively enhancement in the visual feedback display of intermediate (4-8 Hz) or high (8-12 Hz) frequency components of the force output. All groups reduced tracking error over practice, with the error lowest in the intermediate scaling condition followed by the high scaling and fixed gain conditions, respectively. Selective visual scaling induced persistent changes across the frequency spectrum, with the strongest effect in the intermediate scaling condition and positive transfer to novel feedback displays. The findings reveal an interdependence of the timescales in the learning and transfer of isometric force output frequency structures consistent with 1/f process models of the time scales of motor output variability.

  19. PBS KIDS Transmedia Suites Gaming Study: A Report to the CPB-PBS "Ready to Learn Initiative"

    Science.gov (United States)

    Pasnik, Shelley; Llorente, Carlin

    2012-01-01

    Educators are well aware that in order to positively impact children's learning, media and technology must be integrated into the teaching and learning activities of instructional environments. In order to be a powerful catalyst for learning, media and technology resources must complement the learning goals, the instructional practices, and the…

  20. Downscaling Coarse Scale Microwave Soil Moisture Product using Machine Learning

    Science.gov (United States)

    Abbaszadeh, P.; Moradkhani, H.; Yan, H.

    2016-12-01

    Soil moisture (SM) is a key variable in partitioning and examining the global water-energy cycle, agricultural planning, and water resource management. It is also strongly coupled with climate change, playing an important role in weather forecasting and drought monitoring and prediction, flood modeling and irrigation management. Although satellite retrievals can provide an unprecedented information of soil moisture at a global-scale, the products might be inadequate for basin scale study or regional assessment. To improve the spatial resolution of SM, this work presents a novel approach based on Machine Learning (ML) technique that allows for downscaling of the satellite soil moisture to fine resolution. For this purpose, the SMAP L-band radiometer SM products were used and conditioned on the Variable Infiltration Capacity (VIC) model prediction to describe the relationship between the coarse and fine scale soil moisture data. The proposed downscaling approach was applied to a western US basin and the products were compared against the available SM data from in-situ gauge stations. The obtained results indicated a great potential of the machine learning technique to derive the fine resolution soil moisture information that is currently used for land data assimilation applications.

  1. Ready for Work? How Afterschool Programs Can Support Employability through Social and Emotional Learning. Beyond the Bell: Research to Practice in the Afterschool and Expanded Learning Field

    Science.gov (United States)

    Devaney, Elizabeth; Moroney, Deborah

    2015-01-01

    Understanding the knowledge, attitudes, and skills that ultimately contribute to success in school, work, and life is a priority for educators and employers. Young people need a variety of important skills to be ready to work, including understanding key work habits and having a strong work ethic. But another aspect of employability has gained…

  2. Medical laboratory science and nursing students’ perception of academic learning environment in a Philippine university using Dundee Ready Educational Environment Measure (DREEM

    Directory of Open Access Journals (Sweden)

    Jonathan M. Barcelo

    2016-09-01

    Full Text Available Purpose This study aimed to compare the perception of the academic learning environment between medical laboratory science students and nursing students at Saint Louis University, Baguio City, Philippines. Methods A cross-sectional survey research design was used to measure the perceptions of the participants. A total of 341 students from the Department of Medical Laboratory Science, School of Natural Sciences, and the School of Nursing answered the Dundee Ready Education Environment Measure (DREEM instrument from April to May 2016. Responses were compared according to course of study, gender, and year level. Results The total mean DREEM scores of the medical laboratory science students and nursing students did not differ significantly when grouped according to course of study, gender, or year level. Medical laboratory science students had significantly lower mean scores in the sub-domains ‘perception of learning’ and ‘perception of teaching.’ Male medical laboratory science students had significantly lower mean scores in the sub-domain ‘perception of learning’ among second year students. Medical laboratory science students had significantly lower mean scores in the sub-domain ‘perception of learning.’ Nursing students identified 7 problem areas, most of which were related to their instructors. Conclusion Medical laboratory science and nursing students viewed their academic learning environment as ‘more positive than negative.’ However, the relationship of the nursing instructors to their students needs improvement.

  3. Enhancing students' learning in problem based learning: validation of a self-assessment scale for active learning and critical thinking.

    Science.gov (United States)

    Khoiriyah, Umatul; Roberts, Chris; Jorm, Christine; Van der Vleuten, C P M

    2015-08-26

    Problem based learning (PBL) is a powerful learning activity but fidelity to intended models may slip and student engagement wane, negatively impacting learning processes, and outcomes. One potential solution to solve this degradation is by encouraging self-assessment in the PBL tutorial. Self-assessment is a central component of the self-regulation of student learning behaviours. There are few measures to investigate self-assessment relevant to PBL processes. We developed a Self-assessment Scale on Active Learning and Critical Thinking (SSACT) to address this gap. We wished to demonstrated evidence of its validity in the context of PBL by exploring its internal structure. We used a mixed methods approach to scale development. We developed scale items from a qualitative investigation, literature review, and consideration of previous existing tools used for study of the PBL process. Expert review panels evaluated its content; a process of validation subsequently reduced the pool of items. We used structural equation modelling to undertake a confirmatory factor analysis (CFA) of the SSACT and coefficient alpha. The 14 item SSACT consisted of two domains "active learning" and "critical thinking." The factorial validity of SSACT was evidenced by all items loading significantly on their expected factors, a good model fit for the data, and good stability across two independent samples. Each subscale had good internal reliability (>0.8) and strongly correlated with each other. The SSACT has sufficient evidence of its validity to support its use in the PBL process to encourage students to self-assess. The implementation of the SSACT may assist students to improve the quality of their learning in achieving PBL goals such as critical thinking and self-directed learning.

  4. The Social Context of Readiness.

    Science.gov (United States)

    Nelson, Regena Fails

    This study examined how kindergarten teachers' views of readiness (maturational, learning, or school) are influenced by students from urban, suburban, and rural areas; by minority and non-minority students; and by students from lower and middle class backgrounds. The framework for the study was the social constructivist theory, the theory that all…

  5. Optimizing Distributed Machine Learning for Large Scale EEG Data Set

    Directory of Open Access Journals (Sweden)

    M Bilal Shaikh

    2017-06-01

    Full Text Available Distributed Machine Learning (DML has gained its importance more than ever in this era of Big Data. There are a lot of challenges to scale machine learning techniques on distributed platforms. When it comes to scalability, improving the processor technology for high level computation of data is at its limit, however increasing machine nodes and distributing data along with computation looks as a viable solution. Different frameworks   and platforms are available to solve DML problems. These platforms provide automated random data distribution of datasets which miss the power of user defined intelligent data partitioning based on domain knowledge. We have conducted an empirical study which uses an EEG Data Set collected through P300 Speller component of an ERP (Event Related Potential which is widely used in BCI problems; it helps in translating the intention of subject w h i l e performing any cognitive task. EEG data contains noise due to waves generated by other activities in the brain which contaminates true P300Speller. Use of Machine Learning techniques could help in detecting errors made by P300 Speller. We are solving this classification problem by partitioning data into different chunks and preparing distributed models using Elastic CV Classifier. To present a case of optimizing distributed machine learning, we propose an intelligent user defined data partitioning approach that could impact on the accuracy of distributed machine learners on average. Our results show better average AUC as compared to average AUC obtained after applying random data partitioning which gives no control to user over data partitioning. It improves the average accuracy of distributed learner due to the domain specific intelligent partitioning by the user. Our customized approach achieves 0.66 AUC on individual sessions and 0.75 AUC on mixed sessions, whereas random / uncontrolled data distribution records 0.63 AUC.

  6. A cross-sectional study of chiropractic students' research readiness using the Academic Self-Concept Analysis Scale.

    Science.gov (United States)

    Whillier, Stephney; Au, Kent; Feng, Louie; Su, Helen

    2017-10-01

    The shift toward evidence-based health care has reoriented tertiary clinical education in a way that necessitates and incorporates research. This study assesses the inclination and suitability of chiropractic students for research over a 5-year educational program. Research attributes of chiropractic students were assessed in this cross-sectional study using a validated and modified academic self-concept analysis scale. Students in first and final year were assessed in 4 domains: creativity, motivation, self-regulation, and general intellectual ability. Univariable differences were assessed using Welch 2-sample t tests, and multivariable analysis was carried out with multiple linear regression models. The response rate was 71% (n = 165). First- and fifth-year students scored highly on all 4 domains (80% to 96%). Compared to first-year students, fifth-year students rated themselves significantly lower in 3 of the domains: general intellectual abilities (t[126] = -2.01; p = 0.047), motivation (t[115] = -4.82; p < 0.001), and creativity (t[136] = -3.00; p = 0.003). Research suitability is high in chiropractic students. Both cohorts scored high in all domains despite the disparity between first and fifth years. First-year students outperformed fifth-year students in 3 domains, indicating a potential decline in the inclination to do research over time. However, unaccounted factors, such as the Dunning-Kruger effect, life changes, and "burnout," may have contributed to these differences. Future studies should include questions about stress, fatigue, clinical orientation, and educational environment to inform the interpretation of findings.

  7. Determining Distance Education Students' Readiness for Mobile Learning at University of Ghana Using the Theory of Planned Behavior

    Science.gov (United States)

    Tagoe, Michael Ayitey; Abakah, Ellen

    2014-01-01

    The use of mobile technologies in the classroom is transforming teaching and learning in higher institutions. This study investigated University of Ghana Distance Education students' perceptions toward mobile learning. The paper using the theory of planned behaviour (TPB) explained how students' beliefs influenced students' intention to adopt…

  8. Readiness for Delivering Digital Health at Scale: Lessons From a Longitudinal Qualitative Evaluation of a National Digital Health Innovation Program in the United Kingdom.

    Science.gov (United States)

    Lennon, Marilyn R; Bouamrane, Matt-Mouley; Devlin, Alison M; O'Connor, Siobhan; O'Donnell, Catherine; Chetty, Ula; Agbakoba, Ruth; Bikker, Annemieke; Grieve, Eleanor; Finch, Tracy; Watson, Nicholas; Wyke, Sally; Mair, Frances S

    2017-02-16

    Digital health has the potential to support care delivery for chronic illness. Despite positive evidence from localized implementations, new technologies have proven slow to become accepted, integrated, and routinized at scale. The aim of our study was to examine barriers and facilitators to implementation of digital health at scale through the evaluation of a £37m national digital health program: ‟Delivering Assisted Living Lifestyles at Scale" (dallas) from 2012-2015. The study was a longitudinal qualitative, multi-stakeholder, implementation study. The methods included interviews (n=125) with key implementers, focus groups with consumers and patients (n=7), project meetings (n=12), field work or observation in the communities (n=16), health professional survey responses (n=48), and cross program documentary evidence on implementation (n=215). We used a sociological theory called normalization process theory (NPT) and a longitudinal (3 years) qualitative framework analysis approach. This work did not study a single intervention or population. Instead, we evaluated the processes (of designing and delivering digital health), and our outcomes were the identified barriers and facilitators to delivering and mainstreaming services and products within the mixed sector digital health ecosystem. We identified three main levels of issues influencing readiness for digital health: macro (market, infrastructure, policy), meso (organizational), and micro (professional or public). Factors hindering implementation included: lack of information technology (IT) infrastructure, uncertainty around information governance, lack of incentives to prioritize interoperability, lack of precedence on accountability within the commercial sector, and a market perceived as difficult to navigate. Factors enabling implementation were: clinical endorsement, champions who promoted digital health, and public and professional willingness. Although there is receptiveness to digital health

  9. Large-Scale Image Analytics Using Deep Learning

    Science.gov (United States)

    Ganguly, S.; Nemani, R. R.; Basu, S.; Mukhopadhyay, S.; Michaelis, A.; Votava, P.

    2014-12-01

    High resolution land cover classification maps are needed to increase the accuracy of current Land ecosystem and climate model outputs. Limited studies are in place that demonstrates the state-of-the-art in deriving very high resolution (VHR) land cover products. In addition, most methods heavily rely on commercial softwares that are difficult to scale given the region of study (e.g. continents to globe). Complexities in present approaches relate to (a) scalability of the algorithm, (b) large image data processing (compute and memory intensive), (c) computational cost, (d) massively parallel architecture, and (e) machine learning automation. In addition, VHR satellite datasets are of the order of terabytes and features extracted from these datasets are of the order of petabytes. In our present study, we have acquired the National Agricultural Imaging Program (NAIP) dataset for the Continental United States at a spatial resolution of 1-m. This data comes as image tiles (a total of quarter million image scenes with ~60 million pixels) and has a total size of ~100 terabytes for a single acquisition. Features extracted from the entire dataset would amount to ~8-10 petabytes. In our proposed approach, we have implemented a novel semi-automated machine learning algorithm rooted on the principles of "deep learning" to delineate the percentage of tree cover. In order to perform image analytics in such a granular system, it is mandatory to devise an intelligent archiving and query system for image retrieval, file structuring, metadata processing and filtering of all available image scenes. Using the Open NASA Earth Exchange (NEX) initiative, which is a partnership with Amazon Web Services (AWS), we have developed an end-to-end architecture for designing the database and the deep belief network (following the distbelief computing model) to solve a grand challenge of scaling this process across quarter million NAIP tiles that cover the entire Continental United States. The

  10. Developing an English Mobile Learning Attitude Scale for Adult Learners

    Science.gov (United States)

    Liu, Tzu-Ying

    2017-01-01

    In recent years, with the rapid development of mobile devices, mobile learning (m-learning) has becoming another popular topic. There is a strong need for both researchers and educators to be aware of adult learners' attitudes toward English mobile learning, yet relevant studies on mobile learning to promote English learning for adult learners are…

  11. Globalizing Lessons Learned from Regional-scale Observatories

    Science.gov (United States)

    Glenn, S. M.

    2016-02-01

    The Mid Atlantic Regional Association Coastal Ocean Observing System (MARACOOS) has accumulated a decade of experience designing, building and operating a Regional Coastal Ocean Observing System for the U.S. Integrated Ocean Observing System (IOOS). MARACOOS serves societal goals and supports scientific discovery at the scale of a Large Marine Ecosystem (LME). Societal themes include maritime safety, ecosystem decision support, coastal inundation, water quality and offshore energy. Scientific results that feed back on societal goals with better products include improved understanding of seasonal transport pathways and their impact on phytoplankton blooms and hypoxia, seasonal evolution of the subsurface Mid Atlantic Cold Pool and its impact on fisheries, biogeochemical transformations in coastal plumes, coastal ocean evolution and impact on hurricane intensities, and storm sediment transport pathways. As the global ocean observing requirements grow to support additional societal needs for information on fisheries and aquaculture, ocean acidification and deoxygenation, water quality and offshore development, global observing will necessarily evolve to include more coastal observations and forecast models at the scale of the world's many LMEs. Here we describe our efforts to share lessons learned between the observatory operators at the regional-scale of the LMEs. Current collaborators are spread across Europe, and also include Korea, Indonesia, Australia, Brazil and South Africa. Specific examples include the development of a world standard QA/QC approach for HF Radar data that will foster the sharing of data between countries, basin-scale underwater glider missions between internationally-distributed glider ports to developed a shared understanding of operations and an ongoing evaluation of the global ocean models in which the regional models for the LME will be nested, and joint training programs to develop the distributed teams of scientists and technicians

  12. Readiness for Delivering Digital Health at Scale: Lessons From a Longitudinal Qualitative Evaluation of a National Digital Health Innovation Program in the United Kingdom

    Science.gov (United States)

    Lennon, Marilyn R; Bouamrane, Matt-Mouley; Devlin, Alison M; O'Connor, Siobhan; O'Donnell, Catherine; Chetty, Ula; Agbakoba, Ruth; Bikker, Annemieke; Grieve, Eleanor; Finch, Tracy; Watson, Nicholas; Wyke, Sally

    2017-01-01

    Background Digital health has the potential to support care delivery for chronic illness. Despite positive evidence from localized implementations, new technologies have proven slow to become accepted, integrated, and routinized at scale. Objective The aim of our study was to examine barriers and facilitators to implementation of digital health at scale through the evaluation of a £37m national digital health program: ‟Delivering Assisted Living Lifestyles at Scale” (dallas) from 2012-2015. Methods The study was a longitudinal qualitative, multi-stakeholder, implementation study. The methods included interviews (n=125) with key implementers, focus groups with consumers and patients (n=7), project meetings (n=12), field work or observation in the communities (n=16), health professional survey responses (n=48), and cross program documentary evidence on implementation (n=215). We used a sociological theory called normalization process theory (NPT) and a longitudinal (3 years) qualitative framework analysis approach. This work did not study a single intervention or population. Instead, we evaluated the processes (of designing and delivering digital health), and our outcomes were the identified barriers and facilitators to delivering and mainstreaming services and products within the mixed sector digital health ecosystem. Results We identified three main levels of issues influencing readiness for digital health: macro (market, infrastructure, policy), meso (organizational), and micro (professional or public). Factors hindering implementation included: lack of information technology (IT) infrastructure, uncertainty around information governance, lack of incentives to prioritize interoperability, lack of precedence on accountability within the commercial sector, and a market perceived as difficult to navigate. Factors enabling implementation were: clinical endorsement, champions who promoted digital health, and public and professional willingness. Conclusions

  13. Readiness to change criminal women and men

    Directory of Open Access Journals (Sweden)

    Krzysztof Biel

    2017-12-01

    Full Text Available The readiness of offenders to social rehabilitation is a new category in our country. Meanwhile, the research conducted in many countries indicates its usefulness in the diagnosis and selection of participants of rehabilitation programmes. This entails more effective interaction with convicted persons and greater responsibility on the part of convicted people for their own social rehabilitation process. The aim of this article is to present the main assumptions and models of readiness for change and their usefulness in social rehabilitation practice and to present pilot studies of readiness for change among criminal women and men in Kraków. Application of the Polish adaptation of the CVTRQ questionnaire made it possible to determine the level of convicted persons’ readiness, taking into account deficits in particular scales of the questionnaire and variables differentiating the group of ready and not ready people. At the end, guidelines for further research will be presented.

  14. A Scale Development for Teacher Competencies on Cooperative Learning Method

    Science.gov (United States)

    Kocabas, Ayfer; Erbil, Deniz Gokce

    2017-01-01

    Cooperative learning method is a learning method studied both in Turkey and in the world for long years as an active learning method. Although cooperative learning method takes place in training programs, it cannot be implemented completely in the direction of its principles. The results of the researches point out that teachers have problems with…

  15. Preparing Work-Ready Nurses: Reflexive Learning for Diverse Students in the Australian Vocational Education and Training Sector

    Science.gov (United States)

    Ryan, Mary; Gwinner, Karleen; Mallan, Kerry; Livock, Cheryl

    2017-01-01

    This paper highlights a disjuncture between training frameworks designed to meet work-based competencies, and educational flexibility desirable to prepare diverse learners for fluid workplaces and roles. We describe a pilot study that explored teaching and learning practices in a vocational education and training Diploma of Nursing program. The…

  16. Development and examination of the psychometric properties of the Learning Experience Scale in nursing.

    Science.gov (United States)

    Takase, Miyuki; Imai, Takiko; Uemura, Chizuru

    2016-06-01

    This paper examines the psychometric properties of the Learning Experience Scale. A survey method was used to collect data from a total of 502 nurses. Data were analyzed by factor analysis and the known-groups technique to examine the construct validity of the scale. In addition, internal consistency was evaluated by Cronbach's alpha, and stability was examined by test-retest correlation. Factor analysis showed that the Learning Experience Scale consisted of five factors: learning from practice, others, training, feedback, and reflection. The scale also had the power to discriminate between nurses with high and low levels of nursing competence. The internal consistency and the stability of the scale were also acceptable. The Learning Experience Scale is a valid and reliable instrument, and helps organizations to effectively design learning interventions for nurses. © 2015 Wiley Publishing Asia Pty Ltd.

  17. A Study of Developing an Attitude Scale towards Authentic Learning Environments and Evaluation

    Science.gov (United States)

    Çetinkaya, Murat

    2018-01-01

    The aim of the research is to improve a valid and reliable attributing scale which identifies authentic learning environments and evaluation attributes of the science teacher candidates. The study has been designed on the base of validity and reliability of the scale developed to evaluate the authentic learning environments. The research group is…

  18. Setting Learning Analytics in Context: Overcoming the Barriers to Large-Scale Adoption

    Science.gov (United States)

    Ferguson, Rebecca; Macfadyen, Leah P.; Clow, Doug; Tynan, Belinda; Alexander, Shirley; Dawson, Shane

    2014-01-01

    A core goal for most learning analytic projects is to move from small-scale research towards broader institutional implementation, but this introduces a new set of challenges because institutions are stable systems, resistant to change. To avoid failure and maximize success, implementation of learning analytics at scale requires explicit and…

  19. EGameFlow: A Scale to Measure Learners' Enjoyment of E-Learning Games

    Science.gov (United States)

    Fu, Fong-Ling; Su, Rong-Chang; Yu, Sheng-Chin

    2009-01-01

    In an effective e-learning game, the learner's enjoyment acts as a catalyst to encourage his/her learning initiative. Therefore, the availability of a scale that effectively measures the enjoyment offered by e-learning games assist the game designer to understanding the strength and flaw of the game efficiently from the learner's points of view.…

  20. Factors of children's school readiness

    Directory of Open Access Journals (Sweden)

    Ljubica Marjanovič Umek

    2006-12-01

    Full Text Available The purpose of the study was to examine the effect of preschool on children's school readiness in connection with their intellectual abilities, language competence, and parents' education. The sample included 219 children who were 68 to 83 months old and were attending the first year of primary school. Children were differentiated by whether or not they had attended preschool before starting school. Children's intellectual ability was determined using Raven's Coloured Progressive Matrices (CPM; Raven, Raven, & Court, 1999, language competence using the Lestvice splošnega govornegarazvoja–LJ (LSGR–LJ, Scales of General Language Development; Marjanovič Umek, Kranjc, Fekonja in Bajc, 2004, and school readiness with the Preizkus pripravljenosti za šolo (PPŠ, Test of School Readiness; Toličič, 1986. The results indicate that children's intellectual ability and language competence have a high predictive value for the school readiness — they explained 51% of the variance in children's scores on the PPŠ. Preschool enrollment has a positive effect on school readiness for children whose parents have a low level of education, but not for those whose parents are highly educated.

  1. "iM Ready to Learn": Undergraduate Nursing Students Knowledge, Preferences, and Practice of Mobile Technology and Social Media.

    Science.gov (United States)

    Hay, Benjamin; Carr, Peter J; Dawe, Lydia; Clark-Burg, Karen

    2017-01-01

    The purpose of this study was to identify in what way social media and mobile technology assist with learning and education of the undergraduate nurse. The study involved undergraduate nursing students across three campuses from the University of Notre Dame Australia. Participants were invited to complete an online questionnaire that related to their current knowledge, preferences, and practice with mobile technology and social media within their undergraduate nursing degree. A quantitative descriptive survey design was adapted from an initial pilot survey by the authors. A total of 386 nursing students (23.47% of the total enrolment) completed the online survey. Overall, results suggested that students are more supportive of social media and mobile technology in principle than in practice. Students who frequently use mobile technologies prefer to print out, highlight, and annotate the lecture material. Findings suggest that nursing students currently use mobile technology and social media and are keen to engage in ongoing learning and collaboration using these resources. Therefore, nursing academia should encourage the appropriate use of mobile technology and social media within the undergraduate curriculum so that responsible use of such technologies positively affects the future nursing workforce.

  2. From Readiness to Action: How Motivation Works

    Directory of Open Access Journals (Sweden)

    Kruglanski Arie W.

    2014-09-01

    Full Text Available We present a new theoretical construct labeled motivational readiness. It is defined as the inclination, whether or not ultimately implemented, to satisfy a desire. A general model of readiness is described which builds on the work of prior theories, including animal learning models and personality approaches, and which aims to integrate a variety of research findings across different domains of motivational research. Components of this model include the Want state (that is, an individual’s currently active desire, and the Expectancy of being able to satisfy that Want. We maintain that the Want concept is the critical ingredient in motivational readiness: without it, readiness cannot exist. In contrast, some motivational readiness can exist without Expectancy. We also discuss the role of incentive in motivational readiness. Incentive is presently conceived of in terms of a Match between a Want and a Perceived Situational Affordance. Whereas in classic models incentive was portrayed as a first order determinant of motivational readiness, here we describe it as a second order factor which affects readiness by influencing Want, Expectancy, or both. The new model’s relation to its theoretical predecessors, and its implications for future research, also are discussed.

  3. The Developmental Approach to School Readiness.

    Science.gov (United States)

    Ogletree, Earl J.

    In the United States, a psychometric psychology dominates the thinking of educators. For traditional, political, and social reasons, developmental psychology rarely informs educational practices. This is the case even though studies show that the inducing of cognitive learning before a child is ready will reduce the child's learning potential and…

  4. Large-scale Labeled Datasets to Fuel Earth Science Deep Learning Applications

    Science.gov (United States)

    Maskey, M.; Ramachandran, R.; Miller, J.

    2017-12-01

    Deep learning has revolutionized computer vision and natural language processing with various algorithms scaled using high-performance computing. However, generic large-scale labeled datasets such as the ImageNet are the fuel that drives the impressive accuracy of deep learning results. Large-scale labeled datasets already exist in domains such as medical science, but creating them in the Earth science domain is a challenge. While there are ways to apply deep learning using limited labeled datasets, there is a need in the Earth sciences for creating large-scale labeled datasets for benchmarking and scaling deep learning applications. At the NASA Marshall Space Flight Center, we are using deep learning for a variety of Earth science applications where we have encountered the need for large-scale labeled datasets. We will discuss our approaches for creating such datasets and why these datasets are just as valuable as deep learning algorithms. We will also describe successful usage of these large-scale labeled datasets with our deep learning based applications.

  5. Measuring strategies for learning regulation in medical education: scale reliability and dimensionality in a Swedish sample.

    Science.gov (United States)

    Edelbring, Samuel

    2012-08-15

    The degree of learners' self-regulated learning and dependence on external regulation influence learning processes in higher education. These regulation strategies are commonly measured by questionnaires developed in other settings than in which they are being used, thereby requiring renewed validation. The aim of this study was to psychometrically evaluate the learning regulation strategy scales from the Inventory of Learning Styles with Swedish medical students (N = 206). The regulation scales were evaluated regarding their reliability, scale dimensionality and interrelations. The primary evaluation focused on dimensionality and was performed with Mokken scale analysis. To assist future scale refinement, additional item analysis, such as item-to-scale correlations, was performed. Scale scores in the Swedish sample displayed good reliability in relation to published results: Cronbach's alpha: 0.82, 0.72, and 0.65 for self-regulation, external regulation and lack of regulation scales respectively. The dimensionalities in scales were adequate for self-regulation and its subscales, whereas external regulation and lack of regulation displayed less unidimensionality. The established theoretical scales were largely replicated in the exploratory analysis. The item analysis identified two items that contributed little to their respective scales. The results indicate that these scales have an adequate capacity for detecting the three theoretically proposed learning regulation strategies in the medical education sample. Further construct validity should be sought by interpreting scale scores in relation to specific learning activities. Using established scales for measuring students' regulation strategies enables a broad empirical base for increasing knowledge on regulation strategies in relation to different disciplinary settings and contributes to theoretical development.

  6. Measuring strategies for learning regulation in medical education: Scale reliability and dimensionality in a Swedish sample

    Directory of Open Access Journals (Sweden)

    Edelbring Samuel

    2012-08-01

    Full Text Available Abstract Background The degree of learners’ self-regulated learning and dependence on external regulation influence learning processes in higher education. These regulation strategies are commonly measured by questionnaires developed in other settings than in which they are being used, thereby requiring renewed validation. The aim of this study was to psychometrically evaluate the learning regulation strategy scales from the Inventory of Learning Styles with Swedish medical students (N = 206. Methods The regulation scales were evaluated regarding their reliability, scale dimensionality and interrelations. The primary evaluation focused on dimensionality and was performed with Mokken scale analysis. To assist future scale refinement, additional item analysis, such as item-to-scale correlations, was performed. Results Scale scores in the Swedish sample displayed good reliability in relation to published results: Cronbach’s alpha: 0.82, 0.72, and 0.65 for self-regulation, external regulation and lack of regulation scales respectively. The dimensionalities in scales were adequate for self-regulation and its subscales, whereas external regulation and lack of regulation displayed less unidimensionality. The established theoretical scales were largely replicated in the exploratory analysis. The item analysis identified two items that contributed little to their respective scales. Discussion The results indicate that these scales have an adequate capacity for detecting the three theoretically proposed learning regulation strategies in the medical education sample. Further construct validity should be sought by interpreting scale scores in relation to specific learning activities. Using established scales for measuring students’ regulation strategies enables a broad empirical base for increasing knowledge on regulation strategies in relation to different disciplinary settings and contributes to theoretical development.

  7. Scaling up machine learning: parallel and distributed approaches

    National Research Council Canada - National Science Library

    Bekkerman, Ron; Bilenko, Mikhail; Langford, John

    2012-01-01

    ... presented in the book cover a range of parallelization platforms from FPGAs and GPUs to multi-core systems and commodity clusters; concurrent programming frameworks that include CUDA, MPI, MapReduce, and DryadLINQ; and various learning settings: supervised, unsupervised, semi-supervised, and online learning. Extensive coverage of parallelizat...

  8. K-State Problem Identification Rating Scales for College Students

    Science.gov (United States)

    Robertson, John M.; Benton, Stephen L.; Newton, Fred B.; Downey, Ronald G.; Marsh, Patricia A.; Benton, Sheryl A.; Tseng, Wen-Chih; Shin, Kang-Hyun

    2006-01-01

    The K-State Problem Identification Rating Scales, a new screening instrument for college counseling centers, gathers information about clients' presenting symptoms, functioning levels, and readiness to change. Three studies revealed 7 scales: Mood Difficulties, Learning Problems, Food Concerns, Interpersonal Conflicts, Career Uncertainties,…

  9. Multi-scale learning based segmentation of glands in digital colonrectal pathology images.

    Science.gov (United States)

    Gao, Yi; Liu, William; Arjun, Shipra; Zhu, Liangjia; Ratner, Vadim; Kurc, Tahsin; Saltz, Joel; Tannenbaum, Allen

    2016-02-01

    Digital histopathological images provide detailed spatial information of the tissue at micrometer resolution. Among the available contents in the pathology images, meso-scale information, such as the gland morphology, texture, and distribution, are useful diagnostic features. In this work, focusing on the colon-rectal cancer tissue samples, we propose a multi-scale learning based segmentation scheme for the glands in the colon-rectal digital pathology slides. The algorithm learns the gland and non-gland textures from a set of training images in various scales through a sparse dictionary representation. After the learning step, the dictionaries are used collectively to perform the classification and segmentation for the new image.

  10. Learning Style Scales: a valid and reliable questionnaire

    Directory of Open Access Journals (Sweden)

    Abdolghani Abdollahimohammad

    2014-08-01

    Full Text Available Purpose: Learning-style instruments assist students in developing their own learning strategies and outcomes, in eliminating learning barriers, and in acknowledging peer diversity. Only a few psychometrically validated learning-style instruments are available. This study aimed to develop a valid and reliable learning-style instrument for nursing students. Methods: A cross-sectional survey study was conducted in two nursing schools in two countries. A purposive sample of 156 undergraduate nursing students participated in the study. Face and content validity was obtained from an expert panel. The LSS construct was established using principal axis factoring (PAF with oblimin rotation, a scree plot test, and parallel analysis (PA. The reliability of LSS was tested using Cronbach’s α, corrected item-total correlation, and test-retest. Results: Factor analysis revealed five components, confirmed by PA and a relatively clear curve on the scree plot. Component strength and interpretability were also confirmed. The factors were labeled as perceptive, solitary, analytic, competitive, and imaginative learning styles. Cronbach’s α was > 0.70 for all subscales in both study populations. The corrected item-total correlations were > 0.30 for the items in each component. Conclusion: The LSS is a valid and reliable inventory for evaluating learning style preferences in nursing students in various multicultural environments.

  11. Learning Style Scales: a valid and reliable questionnaire.

    Science.gov (United States)

    Abdollahimohammad, Abdolghani; Ja'afar, Rogayah

    2014-01-01

    Learning-style instruments assist students in developing their own learning strategies and outcomes, in eliminating learning barriers, and in acknowledging peer diversity. Only a few psychometrically validated learning-style instruments are available. This study aimed to develop a valid and reliable learning-style instrument for nursing students. A cross-sectional survey study was conducted in two nursing schools in two countries. A purposive sample of 156 undergraduate nursing students participated in the study. Face and content validity was obtained from an expert panel. The LSS construct was established using principal axis factoring (PAF) with oblimin rotation, a scree plot test, and parallel analysis (PA). The reliability of LSS was tested using Cronbach's α, corrected item-total correlation, and test-retest. Factor analysis revealed five components, confirmed by PA and a relatively clear curve on the scree plot. Component strength and interpretability were also confirmed. The factors were labeled as perceptive, solitary, analytic, competitive, and imaginative learning styles. Cronbach's α was >0.70 for all subscales in both study populations. The corrected item-total correlations were >0.30 for the items in each component. The LSS is a valid and reliable inventory for evaluating learning style preferences in nursing students in various multicultural environments.

  12. The Learning Loss Scale as an Assessment Tool: An Empirical Examination of Convergent Validity with Performative Measures

    Science.gov (United States)

    Hooker, John; Denker, Katherine

    2014-01-01

    Higher education has placed an increasingly greater value on assessment. The Learning Loss Scale may be an appropriate tool to assess learning across disciplines. In this paper, we review the culture of assessment, conceptualizations of cognitive learning, the Learning Loss Scale, and a theoretical explanation, and then we test this measure to…

  13. Scaling prediction errors to reward variability benefits error-driven learning in humans.

    Science.gov (United States)

    Diederen, Kelly M J; Schultz, Wolfram

    2015-09-01

    Effective error-driven learning requires individuals to adapt learning to environmental reward variability. The adaptive mechanism may involve decays in learning rate across subsequent trials, as shown previously, and rescaling of reward prediction errors. The present study investigated the influence of prediction error scaling and, in particular, the consequences for learning performance. Participants explicitly predicted reward magnitudes that were drawn from different probability distributions with specific standard deviations. By fitting the data with reinforcement learning models, we found scaling of prediction errors, in addition to the learning rate decay shown previously. Importantly, the prediction error scaling was closely related to learning performance, defined as accuracy in predicting the mean of reward distributions, across individual participants. In addition, participants who scaled prediction errors relative to standard deviation also presented with more similar performance for different standard deviations, indicating that increases in standard deviation did not substantially decrease "adapters'" accuracy in predicting the means of reward distributions. However, exaggerated scaling beyond the standard deviation resulted in impaired performance. Thus efficient adaptation makes learning more robust to changing variability. Copyright © 2015 the American Physiological Society.

  14. Large-scale Machine Learning in High-dimensional Datasets

    DEFF Research Database (Denmark)

    Hansen, Toke Jansen

    Over the last few decades computers have gotten to play an essential role in our daily life, and data is now being collected in various domains at a faster pace than ever before. This dissertation presents research advances in four machine learning fields that all relate to the challenges imposed...... are better at modeling local heterogeneities. In the field of machine learning for neuroimaging, we introduce learning protocols for real-time functional Magnetic Resonance Imaging (fMRI) that allow for dynamic intervention in the human decision process. Specifically, the model exploits the structure of f...

  15. What could we learn about high energy particle physics from cosmological observations at largest spatial scales ?

    Directory of Open Access Journals (Sweden)

    Gorbunov Dmitry

    2017-01-01

    Full Text Available The very well known example of cosmology testing particle physics is the number of relativistic particles (photons and three active neutrinos within the Standard Model at primordial nucleosynthesis. These days the earliest moment we can hope to probe with present cosmological data is the early time inflation. The particle physics conditions there and now are different because of different energy scales and different values of the scalar fields, that usually prohibits a reliable connection between the particle physics parameters at the two interesting epochs. The physics at the highest energy scales may be probed with observations at the largest spatial scales (just somewhat smaller than the size of the visible Universe. However, we are not (yet ready to make the tests realistic, because of lack of a self-consistent theoretical description of the presently favorite cosmological models to be valid right after inflation.

  16. [Scale of organizational learning in schools. Organizational learning is a key element for the development of organizations].

    Science.gov (United States)

    López, Verónica; Ahumada, Luis; Olivares, Rodrigo; González, Alvaro

    2012-05-01

    Organizational learning is a key element for the development of organizations. School organizations are not exempt from this challenge and they currently face a highly dynamic and demanding context of education policies that emphasize the school's ability to learn. Thus, research on organizational learning in educational contexts requires valid instruments that are sensitive to the specifics of schools as organizations. In this study, we adapted and validated a scale of organizational learning in a sample of 119 Chilean municipal schools (N= 1,545). The results suggest a structural model made up of three factors: culture of learning, strategic clarity, and group learning. These factors predicted dimensions of educational achievement, as measured through the National Assessment System of Educational Achievement (SNED). Results are discussed in view of the literature on school improvement.

  17. Scaling up machine learning: parallel and distributed approaches

    National Research Council Canada - National Science Library

    Bekkerman, Ron; Bilenko, Mikhail; Langford, John

    2012-01-01

    .... Demand for parallelizing learning algorithms is highly task-specific: in some settings it is driven by the enormous dataset sizes, in others by model complexity or by real-time performance requirements...

  18. Large-Scale Sentinel-1 Processing for Solid Earth Science and Urgent Response using Cloud Computing and Machine Learning

    Science.gov (United States)

    Hua, H.; Owen, S. E.; Yun, S. H.; Agram, P. S.; Manipon, G.; Starch, M.; Sacco, G. F.; Bue, B. D.; Dang, L. B.; Linick, J. P.; Malarout, N.; Rosen, P. A.; Fielding, E. J.; Lundgren, P.; Moore, A. W.; Liu, Z.; Farr, T.; Webb, F.; Simons, M.; Gurrola, E. M.

    2017-12-01

    With the increased availability of open SAR data (e.g. Sentinel-1 A/B), new challenges are being faced with processing and analyzing the voluminous SAR datasets to make geodetic measurements. Upcoming SAR missions such as NISAR are expected to generate close to 100TB per day. The Advanced Rapid Imaging and Analysis (ARIA) project can now generate geocoded unwrapped phase and coherence products from Sentinel-1 TOPS mode data in an automated fashion, using the ISCE software. This capability is currently being exercised on various study sites across the United States and around the globe, including Hawaii, Central California, Iceland and South America. The automated and large-scale SAR data processing and analysis capabilities use cloud computing techniques to speed the computations and provide scalable processing power and storage. Aspects such as how to processing these voluminous SLCs and interferograms at global scales, keeping up with the large daily SAR data volumes, and how to handle the voluminous data rates are being explored. Scene-partitioning approaches in the processing pipeline help in handling global-scale processing up to unwrapped interferograms with stitching done at a late stage. We have built an advanced science data system with rapid search functions to enable access to the derived data products. Rapid image processing of Sentinel-1 data to interferograms and time series is already being applied to natural hazards including earthquakes, floods, volcanic eruptions, and land subsidence due to fluid withdrawal. We will present the status of the ARIA science data system for generating science-ready data products and challenges that arise from being able to process SAR datasets to derived time series data products at large scales. For example, how do we perform large-scale data quality screening on interferograms? What approaches can be used to minimize compute, storage, and data movement costs for time series analysis in the cloud? We will also

  19. Development and validation of the Simulation Learning Effectiveness Scale for nursing students.

    Science.gov (United States)

    Pai, Hsiang-Chu

    2016-11-01

    To develop and validate the Simulation Learning Effectiveness Scale, which is based on Bandura's social cognitive theory. A simulation programme is a significant teaching strategy for nursing students. Nevertheless, there are few evidence-based instruments that validate the effectiveness of simulation learning in Taiwan. This is a quantitative descriptive design. In Study 1, a nonprobability convenience sample of 151 student nurses completed the Simulation Learning Effectiveness Scale. Exploratory factor analysis was used to examine the factor structure of the instrument. In Study 2, which involved 365 student nurses, confirmatory factor analysis and structural equation modelling were used to analyse the construct validity of the Simulation Learning Effectiveness Scale. In Study 1, exploratory factor analysis yielded three components: self-regulation, self-efficacy and self-motivation. The three factors explained 29·09, 27·74 and 19·32% of the variance, respectively. The final 12-item instrument with the three factors explained 76·15% of variance. Cronbach's alpha was 0·94. In Study 2, confirmatory factor analysis identified a second-order factor termed Simulation Learning Effectiveness Scale. Goodness-of-fit indices showed an acceptable fit overall with the full model (χ 2 /df (51) = 3·54, comparative fit index = 0·96, Tucker-Lewis index = 0·95 and standardised root-mean-square residual = 0·035). In addition, teacher's competence was found to encourage learning, and self-reflection and insight were significantly and positively associated with Simulation Learning Effectiveness Scale. Teacher's competence in encouraging learning also was significantly and positively associated with self-reflection and insight. Overall, theses variable explained 21·9% of the variance in the student's learning effectiveness. The Simulation Learning Effectiveness Scale is a reliable and valid means to assess simulation learning effectiveness for nursing students

  20. Autonomous development and learning in artificial intelligence and robotics: Scaling up deep learning to human-like learning.

    Science.gov (United States)

    Oudeyer, Pierre-Yves

    2017-01-01

    Autonomous lifelong development and learning are fundamental capabilities of humans, differentiating them from current deep learning systems. However, other branches of artificial intelligence have designed crucial ingredients towards autonomous learning: curiosity and intrinsic motivation, social learning and natural interaction with peers, and embodiment. These mechanisms guide exploration and autonomous choice of goals, and integrating them with deep learning opens stimulating perspectives.

  1. Predicting the Motivation in College-Aged Learning Disabled Students Based on the Academic Motivation Scale

    Science.gov (United States)

    Luna, Alberto D.

    2013-01-01

    Given the paucity of research on factors associated with motivation in learning disabled college students, the present study investigated the motivation levels in college students with learning disabilities. The Academic Motivation Scale (AMS) has been validated cross-nationally and across all educational age groups of students having various…

  2. A Scale Development Study for the Teachers on Out of School Learning Environments

    Science.gov (United States)

    Balkan-Kiyici, Fatime; Yavuz Topaloglu, Melike

    2016-01-01

    When teachers organize planned and systematical out-of-school learning activities, students can understand the abstract and complex terms and topics better and therefore meaningful and deeper learning can occur. Within this context this study aims to develop a valid and reliable scale to determine the attitudes, behaviors, efficiency and…

  3. Learning for Teaching: Building Professional Knowledge on a National Scale

    Directory of Open Access Journals (Sweden)

    Elizabeth Hartnell-Young

    2009-09-01

    Full Text Available This paper takes a large-scale social perspective in describing a national project in Australia that was premised on local school communities working together and contributing ideas for the benefit of their students, and potentially, the whole country. The project was intended to improve schools’ capacity for educating boys, and in the long-term, the learning outcomes of under-performing boys, using evidence-based and action research methods. It was supported by the web spaces and tools of the National Quality Schooling Framework and Think.com. This paper emphasises the structures and processes teachers engaged in while building knowledge through their daily work, where the resulting ideas became the property of the whole community. Analyses focus on the extent to which an underlying social structure for knowledge building developed in various parts of the nation during the project, making it possible to characterize a process for innovations in education with commitment to continual idea improvement. Résumé Le présent article adopte une perspective sociale à grande échelle pour décrire un projet national en Australie fondé sur la collaboration des communautés scolaires locales et leur contribution d’idées au bénéfice de leurs élèves et, éventuellement, de l’ensemble du pays. Le projet avait pour but de rendre les écoles plus aptes à éduquer les garçons et, à long terme, d’améliorer les résultats d’apprentissage des garçons qui sous-performent à l’aide de méthodes de recherche-action fondées sur des données probantes. Il a bénéficié du soutien des espaces et des outils Web du National Quality Schooling Framework et de Think.com. Le présent article met l’accent sur les structures et les processus que les enseignants ont utilisés dans leur travail quotidien pour la coélaboration de connaissances; les idées qui en ont résulté sont par la suite devenues la propriété de l’ensemble de la communaut

  4. Implementation of project based learning on the Prakerin subject of vocational high school students of the building engineering to enhance employment skill readiness of graduates in the construction services field

    Science.gov (United States)

    Sugandi, Machmud

    2017-09-01

    Implementation of the Prakerin subject in the field of Building Engineering study program in vocational high school (VHS) are facing many issues associated to non-compliance unit of work in the industry and the expected competencies in learning at school. Project Based Learning (PBL) is an appropriate model learning used for Prakerin subject to increase student competence as the extension of the Prakerin implementation in the construction industry services. Assignments based on the selected project during their practical industry work were given to be completed by student. VHS students in particular field of Building Engineering study program who has been completed Prakerin subject will have a better job readiness, and therefore they will have an understanding on the knowledge, skills, and attitudes and good vision on the construction project in accordance with their experience during Prakerin work in the industry.

  5. Learning mathematics through inquiry; a large scale evaluation

    NARCIS (Netherlands)

    de Jong, Anthonius J.M.; Hendrikse, Petra; van der Meij, Hans; Jacobson, M.J.; Reiman, P.

    2010-01-01

    Mathematics education is changing from a procedure-oriented approach to one in which concepts and their relations take a central place. Inquiry environments offer students the opportunity to investigate a domain and to focus on conceptual aspects. In this chapter, we describe a learning arrangement

  6. Axis: Generating Explanations at Scale with Learnersourcing and Machine Learning

    Science.gov (United States)

    Williams, Joseph Jay; Kim, Juho; Rafferty, Anna; Heffernan, Neil; Maldonado, Samuel; Gajos, Krzysztof Z.; Lasecki, Walter S.; Heffernan, Neil

    2016-01-01

    While explanations may help people learn by providing information about why an answer is correct, many problems on online platforms lack high-quality explanations. This paper presents AXIS (Adaptive eXplanation Improvement System), a system for obtaining explanations. AXIS asks learners to generate, revise, and evaluate explanations as they solve…

  7. Scaling digital learning in Kenya | CRDI - Centre de recherches pour ...

    International Development Research Centre (IDRC) Digital Library (Canada)

    The current project applies interactive multimedia software coupled with extensive professional development for teachers to enhance teaching and to improve the learning of children in Kenya. Prior projects explored the feasibility and measured the effectiveness of using ABRACADABRA (ABRA) early literacy software with ...

  8. Unraveling the photovoltaic technology learning curve by incorporation of input price changes and scale effects

    International Nuclear Information System (INIS)

    Yu, C.F.; van Sark, W.G.J.H.M.; Alsema, E.A.

    2011-01-01

    In a large number of energy models, the use of learning curves for estimating technological improvements has become popular. This is based on the assumption that technological development can be monitored by following cost development as a function of market size. However, recent data show that in some stages of photovoltaic technology (PV) production, the market price of PV modules stabilizes even though the cumulative capacity increases. This implies that no technological improvement takes place in these periods: the cost predicted by the learning curve in the PV study is lower than the market one. We propose that this bias results from ignoring the effects of input prices and scale effects, and that incorporating the input prices and scale effects into the learning curve theory is an important issue in making cost predictions more reliable. In this paper, a methodology is described to incorporate the scale and input-prices effect as the additional variables into the one factor learning curve, which leads to the definition of the multi-factor learning curve. This multi-factor learning curve is not only derived from economic theories, but also supported by an empirical study. The results clearly show that input prices and scale effects are to be included, and that, although market prices are stabilizing, learning is still taking place. (author)

  9. A Lifelong Learning Scale for Research and Evaluation of Teaching and Curricular Effectiveness

    Science.gov (United States)

    Wielkiewicz, Richard M.; Meuwissen, Alyssa S.

    2014-01-01

    A 16-item lifelong learning scale (LLS), appropriate for college students and others, was evaluated using a sample of 575 college students. The scale demonstrated excellent reliability and was correlated with college grade point average (GPA), agreeableness, conscientiousness, and intellect/imagination. Scores were higher for those who had studied…

  10. Development and Validation of the Elder Learning Barriers Scale Among Older Chinese Adults.

    Science.gov (United States)

    Wang, Renfeng; De Donder, Liesbeth; De Backer, Free; He, Tao; Van Regenmortel, Sofie; Li, Shihua; Lombaerts, Koen

    2017-12-01

    This study describes the development and validation of the Elder Learning Barriers (ELB) scale, which seeks to identify the obstacles that affect the level of educational participation of older adults. The process of item pool design and scale development is presented, as well as the testing and scale refinement procedure. The data were collected from a sample of 579 older Chinese adults (aged over 55) in the Xi'an region of China. After randomly splitting the sample for cross-validation purposes, the construct validity of the ELB scale was confirmed containing five dimensions: dispositional, informational, physical, situational, and institutional barriers. Furthermore, developmental differences in factor structure have been examined among older age groups. The results indicated that the scale demonstrated good reliability and validity. We conclude in general that the ELB scale appears to be a valuable instrument for examining the learning barriers that older Chinese citizens experience for participating in organized educational activities.

  11. Quality assurance of the clinical learning environment in Austria: Construct validity of the Clinical Learning Environment, Supervision and Nurse Teacher Scale (CLES+T scale).

    Science.gov (United States)

    Mueller, Gerhard; Mylonas, Demetrius; Schumacher, Petra

    2018-04-21

    Within nursing education, the clinical learning environment is of a high importance in regards to the development of competencies and abilities. The organization, atmosphere, and supervision in the clinical learning environment are only a few factors that influence this development. In Austria there is currently no valid instrument available for the evaluation of influencing factors. The aim of the study was to test the construct validity with principal component analysis as well as the internal consistency of the German Clinical Learning Environment, Supervision and Teacher Scale (CLES+T scale) in Austria. The present validation study has a descriptive-quantitative cross-sectional design. The sample consisted of 385 nursing students from thirteen training institutions in Austria. The data collection was carried out online between March and April 2016. Starting with a polychoric correlation matrix, a parallel analysis with principal component extraction and promax rotation was carried out due to the ordinal data. The exploratory ordinal factor analysis supported a four-component solution and explained 73% of the total variance. The internal consistency of all 25 items reached a Cronbach's α of 0.95 and the four components ranged between 0.83 and 0.95. The German version of the CLES+T scale seems to be a useful instrument for identifying potential areas of improvement in clinical practice in order to derive specific quality measures for the practical learning environment. Copyright © 2018 Elsevier Ltd. All rights reserved.

  12. Large-Scale Unsupervised Hashing with Shared Structure Learning.

    Science.gov (United States)

    Liu, Xianglong; Mu, Yadong; Zhang, Danchen; Lang, Bo; Li, Xuelong

    2015-09-01

    Hashing methods are effective in generating compact binary signatures for images and videos. This paper addresses an important open issue in the literature, i.e., how to learn compact hash codes by enhancing the complementarity among different hash functions. Most of prior studies solve this problem either by adopting time-consuming sequential learning algorithms or by generating the hash functions which are subject to some deliberately-designed constraints (e.g., enforcing hash functions orthogonal to one another). We analyze the drawbacks of past works and propose a new solution to this problem. Our idea is to decompose the feature space into a subspace shared by all hash functions and its complementary subspace. On one hand, the shared subspace, corresponding to the common structure across different hash functions, conveys most relevant information for the hashing task. Similar to data de-noising, irrelevant information is explicitly suppressed during hash function generation. On the other hand, in case that the complementary subspace also contains useful information for specific hash functions, the final form of our proposed hashing scheme is a compromise between these two kinds of subspaces. To make hash functions not only preserve the local neighborhood structure but also capture the global cluster distribution of the whole data, an objective function incorporating spectral embedding loss, binary quantization loss, and shared subspace contribution is introduced to guide the hash function learning. We propose an efficient alternating optimization method to simultaneously learn both the shared structure and the hash functions. Experimental results on three well-known benchmarks CIFAR-10, NUS-WIDE, and a-TRECVID demonstrate that our approach significantly outperforms state-of-the-art hashing methods.

  13. Readiness for Living Technology

    DEFF Research Database (Denmark)

    Peronard, Jean-Paul

    2013-01-01

    This paper is a comparative analysis between workers in healthcare with high and low degree of readiness for living technology such as robotics. To explore the differences among workers’ readiness for robotics in healthcare, statistical analysis was conducted in the data set obtained from 200...

  14. Preparing Brigade Combat Team Soldiers for Mission Readiness Through Research on Intangible Psychological Constructs and their Applications. Phase 2: Measurement and Learning Methods

    Science.gov (United States)

    2014-02-01

    Experiential activities; • Learning to learn /self-regulation training; • Self-explanation strategy training; and • Cognitive flexibility theory . While... learning theories could be applied to an implementation strategy are discussed below. Cognitive flexibility theory and experiential training are...Personality and Social Psychology, 37, 1-11. Kolb , D. A. (1984). Experiential learning : Experience as the source of learning and

  15. Costs of Low-Scale Distance Learning Programs: A Case of Distance Learning Courses in the Aegean Islands.

    Directory of Open Access Journals (Sweden)

    Costas Tsolakidis

    2010-03-01

    Full Text Available The advance of Information and Communication Technology (ICT and the reduction of cost in digital applications motivate course designers to develop new application of distance learning programs so as to meet the increasing educational needs in the knowledge-based society. As a consequence, distance learning courses are increasing in number, credibility and acceptability all over the world. The question is whether these programs are efficient in terms of costs. The main theme of this work is to investigate cost behaviour and estimate cost efficiency of distance learning courses applied in low-inhabited, remote islands. The target group consists of high school students of Grade I. The distance learning course that is designed uses several scenarios of the “what-if form” and reaches the conclusion that cost of such solutions is far lower than that of any traditional course, even at the absence of scale economies.

  16. Child Physical Punishment, Parenting, and School Readiness

    Science.gov (United States)

    Weegar, Kelly; Guérin-Marion, Camille; Fréchette, Sabrina; Romano, Elisa

    2018-01-01

    This study explored how physical punishment (PP) and other parenting approaches may predict school readiness outcomes. By using the Canada-wide representative data, 5,513 children were followed over a 2-year period. Caregivers reported on their use of PP and other parenting approaches (i.e., literacy and learning activities and other disciplinary…

  17. Large-scale weakly supervised object localization via latent category learning.

    Science.gov (United States)

    Chong Wang; Kaiqi Huang; Weiqiang Ren; Junge Zhang; Maybank, Steve

    2015-04-01

    Localizing objects in cluttered backgrounds is challenging under large-scale weakly supervised conditions. Due to the cluttered image condition, objects usually have large ambiguity with backgrounds. Besides, there is also a lack of effective algorithm for large-scale weakly supervised localization in cluttered backgrounds. However, backgrounds contain useful latent information, e.g., the sky in the aeroplane class. If this latent information can be learned, object-background ambiguity can be largely reduced and background can be suppressed effectively. In this paper, we propose the latent category learning (LCL) in large-scale cluttered conditions. LCL is an unsupervised learning method which requires only image-level class labels. First, we use the latent semantic analysis with semantic object representation to learn the latent categories, which represent objects, object parts or backgrounds. Second, to determine which category contains the target object, we propose a category selection strategy by evaluating each category's discrimination. Finally, we propose the online LCL for use in large-scale conditions. Evaluation on the challenging PASCAL Visual Object Class (VOC) 2007 and the large-scale imagenet large-scale visual recognition challenge 2013 detection data sets shows that the method can improve the annotation precision by 10% over previous methods. More importantly, we achieve the detection precision which outperforms previous results by a large margin and can be competitive to the supervised deformable part model 5.0 baseline on both data sets.

  18. NHI Component Technical Readiness Evaluation System

    International Nuclear Information System (INIS)

    Sherman, S.; Wilson, Dane F.; Pawel, Steven J.

    2007-01-01

    A decision process for evaluating the technical readiness or maturity of components (i.e., heat exchangers, chemical reactors, valves, etc.) for use by the U.S. DOE Nuclear Hydrogen Initiative is described. This system is used by the DOE NHI to assess individual components in relation to their readiness for pilot-scale and larger-scale deployment and to drive the research and development work needed to attain technical maturity. A description of the evaluation system is provided, and examples are given to illustrate how it is used to assist in component R and D decisions.

  19. Enhancing students' learning in problem based learning: validation of a self-assessment scale for active learning and critical thinking

    NARCIS (Netherlands)

    Khoiriyah, U.; Roberts, C.; Jorm, C.; Vleuten, C.P. van der

    2015-01-01

    BACKGROUND: Problem based learning (PBL) is a powerful learning activity but fidelity to intended models may slip and student engagement wane, negatively impacting learning processes, and outcomes. One potential solution to solve this degradation is by encouraging self-assessment in the PBL

  20. Defining School Readiness in Maryland: A Multi-Dimensional Perspective. Publication #2012-44

    Science.gov (United States)

    Forry, Nicole; Wessel, Julia

    2012-01-01

    Increased emphasis has been placed on children's ability to enter kindergarten ready to learn, a concept referred to as "school readiness." School readiness has been defined by the Maryland State Department of Education as "the stage of human development that enables a child to engage in, and benefit from, primary learning…

  1. Investigating Learning through Work: The Development of the "Provider Learning Environment Scale"

    Science.gov (United States)

    Chappell, Clive; Hawke, Geof

    2008-01-01

    The purpose of this research activity was to investigate contemporary understandings of the connections between learning and work. This initial work was then used to inform the development of an organisational tool that registered training organisations (RTOs) could use to identify organisational practices likely to lead to greater learning at…

  2. Enhanced learning through scale models and see-thru visualization

    International Nuclear Information System (INIS)

    Kelley, M.D.

    1987-01-01

    The development of PowerSafety International's See-Thru Power Plant has provided the nuclear industry with a bridge that can span the gap between the part-task simulator and the full-scope, high-fidelity plant simulator. The principle behind the See-Thru Power Plant is to provide the use of sensory experience in nuclear training programs. The See-Thru Power Plant is a scaled down, fully functioning model of a commercial nuclear power plant, equipped with a primary system, secondary system, and control console. The major components are constructed of glass, thus permitting visual conceptualization of a working nuclear power plant

  3. HD-MTL: Hierarchical Deep Multi-Task Learning for Large-Scale Visual Recognition.

    Science.gov (United States)

    Fan, Jianping; Zhao, Tianyi; Kuang, Zhenzhong; Zheng, Yu; Zhang, Ji; Yu, Jun; Peng, Jinye

    2017-02-09

    In this paper, a hierarchical deep multi-task learning (HD-MTL) algorithm is developed to support large-scale visual recognition (e.g., recognizing thousands or even tens of thousands of atomic object classes automatically). First, multiple sets of multi-level deep features are extracted from different layers of deep convolutional neural networks (deep CNNs), and they are used to achieve more effective accomplishment of the coarseto- fine tasks for hierarchical visual recognition. A visual tree is then learned by assigning the visually-similar atomic object classes with similar learning complexities into the same group, which can provide a good environment for determining the interrelated learning tasks automatically. By leveraging the inter-task relatedness (inter-class similarities) to learn more discriminative group-specific deep representations, our deep multi-task learning algorithm can train more discriminative node classifiers for distinguishing the visually-similar atomic object classes effectively. Our hierarchical deep multi-task learning (HD-MTL) algorithm can integrate two discriminative regularization terms to control the inter-level error propagation effectively, and it can provide an end-to-end approach for jointly learning more representative deep CNNs (for image representation) and more discriminative tree classifier (for large-scale visual recognition) and updating them simultaneously. Our incremental deep learning algorithms can effectively adapt both the deep CNNs and the tree classifier to the new training images and the new object classes. Our experimental results have demonstrated that our HD-MTL algorithm can achieve very competitive results on improving the accuracy rates for large-scale visual recognition.

  4. A Matter of Time: Faster Percolator Analysis via Efficient SVM Learning for Large-Scale Proteomics.

    Science.gov (United States)

    Halloran, John T; Rocke, David M

    2018-05-04

    Percolator is an important tool for greatly improving the results of a database search and subsequent downstream analysis. Using support vector machines (SVMs), Percolator recalibrates peptide-spectrum matches based on the learned decision boundary between targets and decoys. To improve analysis time for large-scale data sets, we update Percolator's SVM learning engine through software and algorithmic optimizations rather than heuristic approaches that necessitate the careful study of their impact on learned parameters across different search settings and data sets. We show that by optimizing Percolator's original learning algorithm, l 2 -SVM-MFN, large-scale SVM learning requires nearly only a third of the original runtime. Furthermore, we show that by employing the widely used Trust Region Newton (TRON) algorithm instead of l 2 -SVM-MFN, large-scale Percolator SVM learning is reduced to nearly only a fifth of the original runtime. Importantly, these speedups only affect the speed at which Percolator converges to a global solution and do not alter recalibration performance. The upgraded versions of both l 2 -SVM-MFN and TRON are optimized within the Percolator codebase for multithreaded and single-thread use and are available under Apache license at bitbucket.org/jthalloran/percolator_upgrade .

  5. Learning directed acyclic graphs from large-scale genomics data.

    Science.gov (United States)

    Nikolay, Fabio; Pesavento, Marius; Kritikos, George; Typas, Nassos

    2017-09-20

    In this paper, we consider the problem of learning the genetic interaction map, i.e., the topology of a directed acyclic graph (DAG) of genetic interactions from noisy double-knockout (DK) data. Based on a set of well-established biological interaction models, we detect and classify the interactions between genes. We propose a novel linear integer optimization program called the Genetic-Interactions-Detector (GENIE) to identify the complex biological dependencies among genes and to compute the DAG topology that matches the DK measurements best. Furthermore, we extend the GENIE program by incorporating genetic interaction profile (GI-profile) data to further enhance the detection performance. In addition, we propose a sequential scalability technique for large sets of genes under study, in order to provide statistically significant results for real measurement data. Finally, we show via numeric simulations that the GENIE program and the GI-profile data extended GENIE (GI-GENIE) program clearly outperform the conventional techniques and present real data results for our proposed sequential scalability technique.

  6. Multi-level discriminative dictionary learning with application to large scale image classification.

    Science.gov (United States)

    Shen, Li; Sun, Gang; Huang, Qingming; Wang, Shuhui; Lin, Zhouchen; Wu, Enhua

    2015-10-01

    The sparse coding technique has shown flexibility and capability in image representation and analysis. It is a powerful tool in many visual applications. Some recent work has shown that incorporating the properties of task (such as discrimination for classification task) into dictionary learning is effective for improving the accuracy. However, the traditional supervised dictionary learning methods suffer from high computation complexity when dealing with large number of categories, making them less satisfactory in large scale applications. In this paper, we propose a novel multi-level discriminative dictionary learning method and apply it to large scale image classification. Our method takes advantage of hierarchical category correlation to encode multi-level discriminative information. Each internal node of the category hierarchy is associated with a discriminative dictionary and a classification model. The dictionaries at different layers are learnt to capture the information of different scales. Moreover, each node at lower layers also inherits the dictionary of its parent, so that the categories at lower layers can be described with multi-scale information. The learning of dictionaries and associated classification models is jointly conducted by minimizing an overall tree loss. The experimental results on challenging data sets demonstrate that our approach achieves excellent accuracy and competitive computation cost compared with other sparse coding methods for large scale image classification.

  7. Learning scale-variant and scale-invariant features for deep image classification

    NARCIS (Netherlands)

    van Noord, Nanne; Postma, Eric

    Convolutional Neural Networks (CNNs) require large image corpora to be trained on classification tasks. The variation in image resolutions, sizes of objects and patterns depicted, and image scales, hampers CNN training and performance, because the task-relevant information varies over spatial

  8. 中小學行動學習準備度探究與分析 Support-Object-Personnel Mobile-Learning Readiness Model for Primary and Secondary Schools

    Directory of Open Access Journals (Sweden)

    游雅婷 Ya-Ting Yu

    2016-12-01

    Full Text Available 有效整合行動學習資源並在執行行動學習前完成充分準備,是學校創新並達到成功的第一步,然而,當前並無相關準備度評估工具能提供給學校參考。本研究目的在發展行動學習準備度以作為學校實施行動學習前的自我檢核評估工具,並依此分析中小學行動學習準備度現況。研究透過文獻檢閱、焦點團體座談、問卷調查等歷程,以探索性因素分析、單一樣本t檢定、弗里曼等級平均數與卡方檢定等統計方法進行分析,最後由正在進行行動學習的71 所中小學(11 所國中、60 所國小)填寫本研究編製的行動學習準備度線上問卷。研究對象有焦點團體座談4人、問卷調查198 人,以及代表學校填寫行動學習準備度問卷71 人,皆為執行過資訊融入教學的教育人員。研究結果顯示:一、行動學習準備度可分為S:「支持系統」、O:「物件設備」、P:「參與人員」三大面向,以及10 個指標、30 個子指標。二、中小學行動學習準備度填寫結果,在三大面向的成績尚屬平均,其中以「領導者能力」指標成績最高、「校務平台」指標成績最低。 Efficiently integrating mobile learning resources is an essential step in developing a successful innovative education system that can enhance perceptions and stimulate preparations for M-learning among school administrators and faculty members. Currently, tools for measuring M-learning readiness and instruments that can productively evaluate M-learning readiness are extremely limited. This study proposed the support-object-personnel (SOP m-learning readiness model to assess the capacity for m-learning readiness in primary and secondary schools in Taiwan. Through a literature review and focus group interviews (N = 4, several standards were identified. Questionnaires (N =198 were developed and then implemented to conduct a valid survey

  9. PERFORMANCES PARENTS ABOUT EMOTIONAL READINESS OF THE CHILD TO SCHOOL WHEN ANALYZING THE CHARACTERISTICS OF EMOTIONAL READINESS OF CHILDREN IN THE TRANSITION FROM KINDERGARTEN TO FIRST GRADE

    Directory of Open Access Journals (Sweden)

    Ekaterina Sergeevna Novitskaya

    2016-02-01

    Full Text Available The article examines the importance of emotional understanding of parents child’s readiness for school. The aim of the study was to determine the characteristics of parental influence perceptions about the emotional readiness of children to the actual level of emotional readiness of the child. An experimental study was conducted comparing the methods, testing, questionnaires, observations, interviews, expert assessments, Longitude. We compared the performance of emotional readiness of children in the preparatory group of the kindergarten and the beginning of the school year in first grade. The study revealed that parents consider the emotional readiness primarily in the structure of the psychological readiness; representations of parents about the emotional readiness to occupy the last place among the other groups of ideas. Weak concrete definition of representations of parents about the emotional school readiness issues contributes to the emotional sphere of the child at an early stage of learning in first grade.

  10. NASA Technology Readiness Level Definitions

    Science.gov (United States)

    Mcnamara, Karen M.

    2012-01-01

    This presentation will cover the basic Technology Readiness Level (TRL) definitions used by the National Aeronautics and Space Administration (NASA) and their specific wording. We will discuss how they are used in the NASA Project Life Cycle and their effectiveness in practice. We'll also discuss the recent efforts by the International Standards Organization (ISO) to develop a broadly acceptable set of TRL definitions for the international space community and some of the issues brought to light. This information will provide input for further discussion of the use of the TRL scale in manufacturing.

  11. Technology Readiness Level Guidebook

    Science.gov (United States)

    2017-09-01

    This guidebook provides the necessary information for conducting a Technology Readiness Level (TRL) Assessment. TRL Assessments are a tool for determining the maturity of technologies and identifying next steps in the research process. This guidebook...

  12. Domestic biogas diffusion in Rwanda - Key learning for scale up

    International Nuclear Information System (INIS)

    2016-03-01

    The NGO Veterinaires Sans Frontieres Belgium (VSF-B) supports local populations to improve livestock keeping and other related aspects such as natural resources management and micro-loans. In 2013, ENEA conducted a study to assess the opportunity for VSF-B to include domestic biogas energy within its scope of activities in Rwanda. In 2014, VSF-B launched the EVE project to install 100 bio-digesters and provide capacity building to smallholder farmers in Southern Rwanda within 3 years. The project is strongly integrated to the local context, partnering with a local federation of farmers, IMBARAGA, to implement the project, and leveraging the Rwandan National Domestic Biogas Program (NDBP). In mid-2015, ENEA conducted a new study to provide VSF-B with an intermediate evaluation of the project, a preliminary assessment of its impacts as well as recommendations to scale-up. VSF-B / IMBARAGA's activity on biogas within the EVE project is successful thanks to an efficient approach combining sensitisation and financial and technical support. By September 2015, half of the target of the pilot phase had been reached - 50 biogas systems were installed or under construction - and the remaining half was likely to be reached by the end of the project. This is the result of an efficient approach for domestic biogas distribution set up by VSF-B / IMBARAGA. Intensive work of sensitisation of farmers combined with an adapted financial support scheme (additional subsidies and guarantee funds for credit) and with technical support and monitoring of farmers are the three pillars on which VSF-B / IMBARAGA's success is based. End-users are highly satisfied of biogas systems and use, thanks to the robustness of the technology and the various outcomes delivered. Although the initial levers for biogas adoption by farmers were fuel savings and convenience to cook, other outcomes appears to be as meaningful to them once they start using the system: increased convenience to boil water or milk

  13. A scale of lifelong learning attitudes of teachers: The development of LLLAS

    Directory of Open Access Journals (Sweden)

    Cigdem Hursen

    2016-03-01

    Full Text Available Knowledge, which is the most significant characteristic of today’s knowledge society, has been changing and improving very rapidly. Particularly, the developments in science and technology have been influencing social, economical and cultural life; thus professions and descriptions of professions have been continuously renewed. In addition, the needed profile of man power relevant to the changing professions has been changing continuously and the learnt knowledge has not been prevalent. For this reason, there is a need for the individuals to update their knowledge and skills continuously in order to adopt themselves to the technological changes and new work conditions. Lifelong learning approach can provide societies and individuals with opportunities to catch up with these changes and developments. In raising individuals as lifelong learners, teachers play a big role. In order to establish lifelong learning societies, first of all teachers should have all the characteristics of lifelong learning. This is why it is extremely important to determine what the attitudes of the teachers are towards lifelong learning approach. However, there has not been developed any scale measuring teachers’ attitudes towards lifelong learning approach so far. Therefore, in this current study, it is aimed to develop a scale to determine what the attitudes of the teachers are towards lifelong learning approach. The subject group is consisted of 300 teachers, working in the schools of the Northern Cyprus. The findings on the validity of the structure of the scale are measured by the factor analysis. As a result of the analysis, a lifelong learning attitude scale is developed with 19 items in three sub-dimensions (LLLAS. The sub-dimensions of the scale are formed in the following expressions: “reluctance to learn”, “belief in the benefits of learning activities for professional development”, “awareness of personal learning skills”. As the result of the

  14. An Examination of Relationships between Psychosocial Satisfaction Scales in an Online Student Learning Environment

    Science.gov (United States)

    Bookout, James Marshall, Jr.

    2010-01-01

    Research suggests that students who are satisfied with their learning experiences are typically successful and there is a fundamental theory that suggests if the expectations of students are achieved they will be return customers. This study examined the relationships between the psychosocial satisfaction scales in an online student learning…

  15. Balancing Tensions in Educational Policy Reforms: Large-Scale Implementation of Assessment for Learning in Norway

    Science.gov (United States)

    Hopfenbeck, Therese N.; Flórez Petour, María Teresa; Tolo, Astrid

    2015-01-01

    This study investigates how different stakeholders in Norway experienced a government-initiated, large-scale policy implementation programme on "Assessment for Learning" ("AfL"). Data were collected through 58 interviews with stakeholders in charge of the policy; Ministers of Education and members of the Directorate of…

  16. The Factor Structure of Preschool Learning Behaviors Scale Scores in Peruvian Children

    Science.gov (United States)

    Hahn, Kathryn R.; Schaefer, Barbara A.; Merino, Cesar; Worrell, Frank C.

    2009-01-01

    The factor structure of the Escala de Conductas de Aprendizaje Preescolar (ECAP), a Spanish translation of the Preschool Learning Behaviors Scale (PLBS), was examined in this study. Children aged 2 to 6 years (N = 328) enrolled in public and private preschools in the Republic of Peru were rated by classroom teachers on the frequency of observable,…

  17. Learning Ecosystem Complexity: A Study on Small-Scale Fishers' Ecological Knowledge Generation

    Science.gov (United States)

    Garavito-Bermúdez, Diana

    2018-01-01

    Small-scale fisheries are learning contexts of importance for generating, transferring and updating ecological knowledge of natural environments through everyday work practices. The rich knowledge fishers have of local ecosystems is the result of the intimate relationship fishing communities have had with their natural environments across…

  18. Validity & reliability of the Persian version of Grasha-Richmann student learning styles scale

    Directory of Open Access Journals (Sweden)

    ALI REZA BANESHI

    2013-10-01

    Full Text Available Introduction: The present study aimed to investigate the psychometric properties of Grasha-Riechmann Student Learning Styles Scale. Method: The participants included 1039 students (421 students in human and 618 students in technical sciences, selected through the stratified sampling method from Tehran University. They answered the Grasha-Riechmann student learning style scale and the data was analyzed with exploratory and confirmatory factor analyses. Results: The findings acquired from exploratory factor analysis (n=561, using principal components analysis with varimax rotation showed that Grasha- Riechmann Student Learning Styles Scale includes six factors: Avoidant, Collaborative, Participative, Dependent, Competitive, and Independent. The factors acquired from confirmatory factor analysis (n=478, as model fit indices indicated, was confirmed by indices in exploratory factor analysis. The internal consistency of each subscale, ranging from 0.58 to 0.80, was at an acceptable level. Conclusion: According to the findings, it seems that Participative Styles Scale to be an instrument qualifying validity and reliability for measuring learning interactive styles.

  19. Learning Business Practices from Peers : Experimental Evidence from Small-scale Retailers in an Emerging Market

    NARCIS (Netherlands)

    Dalton, Patricio; Rüschenpöhler, Julius; Uras, Burak; Zia, Bilal

    This paper studies whether small-scale businesses can learn and adopt protable practices of their successful peers. We identify such practices through a detailed business survey in urban Indonesia and disseminate the information to a randomly selected sample of small retailers through a

  20. Development of a student rating scale to evaluate teachers' competencies for facilitating reflective learning

    NARCIS (Netherlands)

    Schaub-de Jong, Mirabelle A.; Schonrock-Adema, Johanna; Dekker, Hanke; Verkerk, Marian; Cohen-Schotanus, Janke

    Context Teaching students in reflection calls for specific teacher competencies. We developed and validated a rating scale focusing on Student perceptions of their Teachers' competencies to Encourage Reflective Learning in small Groups (STERLinG). Methods We applied an iterative procedure to reduce

  1. A Generalizable Framework for Multi-Scale Auditing of Digital Learning Provision in Higher Education

    Science.gov (United States)

    Ross, Samuel R. P-J.; Volz, Veronica; Lancaster, Matthew K.; Divan, Aysha

    2018-01-01

    It is increasingly important that higher education institutions be able to audit and evaluate the scope and efficacy of their digital learning resources across various scales. To date there has been little effort to address this need for a validated, appropriate, and simple-to-execute method that will facilitate such an audit, whether it be at the…

  2. Teacher Improvement Projects in Guinea: Lessons Learned from Taking a Program to National Scale.

    Science.gov (United States)

    Schwille, John; Dembele, Martial; Diallo, Alpha Mahmoudou

    2001-01-01

    Highlights lessons learned from a small, grant-funded teacher improvement project in Guinea that went nationwide, including: it is possible to make such a system work on a national scale in a resource-scarce country; effective initial and continued training is critical for all participants; it is difficult to provide close-to-school assistance…

  3. Iterative learning-based decentralized adaptive tracker for large-scale systems: a digital redesign approach.

    Science.gov (United States)

    Tsai, Jason Sheng-Hong; Du, Yan-Yi; Huang, Pei-Hsiang; Guo, Shu-Mei; Shieh, Leang-San; Chen, Yuhua

    2011-07-01

    In this paper, a digital redesign methodology of the iterative learning-based decentralized adaptive tracker is proposed to improve the dynamic performance of sampled-data linear large-scale control systems consisting of N interconnected multi-input multi-output subsystems, so that the system output will follow any trajectory which may not be presented by the analytic reference model initially. To overcome the interference of each sub-system and simplify the controller design, the proposed model reference decentralized adaptive control scheme constructs a decoupled well-designed reference model first. Then, according to the well-designed model, this paper develops a digital decentralized adaptive tracker based on the optimal analog control and prediction-based digital redesign technique for the sampled-data large-scale coupling system. In order to enhance the tracking performance of the digital tracker at specified sampling instants, we apply the iterative learning control (ILC) to train the control input via continual learning. As a result, the proposed iterative learning-based decentralized adaptive tracker not only has robust closed-loop decoupled property but also possesses good tracking performance at both transient and steady state. Besides, evolutionary programming is applied to search for a good learning gain to speed up the learning process of ILC. Copyright © 2011 ISA. Published by Elsevier Ltd. All rights reserved.

  4. The development and validation of the Epilepsy and Learning Disabilities Quality of Life (ELDQOL) scale.

    Science.gov (United States)

    Buck, Deborah; Smith, Monica; Appleton, Richard; Baker, Gus A; Jacoby, Ann

    2007-02-01

    Few suitable instruments exist for use with people, especially children, with both epilepsy and learning disabilities. One such measure is the Epilepsy and Learning Disabilities Quality of Life scale (ELDQOL), which has recently undergone revision following feedback from relevant users. This article reports on the final psychometric testing phase of this scale. ELDQOL consists of 70 items covering seizure severity, seizure-related injuries, antiepileptic drug side effects, behavior, mood, physical, cognitive, and social functioning, parental concern, communication, overall quality of life, and overall health. Revalidation involved a qualitative phase, to ascertain users' opinions on the wording, coverage, and layout of the questionnaire, and a quantitative phase, to examine internal consistency, test-retest reliability, and validity. There is very good evidence of the reliability and validity of the final version of ELDQOL, making it a promising instrument for assessing quality of life in children/young adults with epilepsy and learning disabilities.

  5. Semi-supervised eigenvectors for large-scale locally-biased learning

    DEFF Research Database (Denmark)

    Hansen, Toke Jansen; Mahoney, Michael W.

    2014-01-01

    improved scaling properties. We provide several empirical examples demonstrating how these semi-supervised eigenvectors can be used to perform locally-biased learning; and we discuss the relationship between our results and recent machine learning algorithms that use global eigenvectors of the graph......In many applications, one has side information, e.g., labels that are provided in a semi-supervised manner, about a specific target region of a large data set, and one wants to perform machine learning and data analysis tasks nearby that prespecified target region. For example, one might......-based machine learning and data analysis tools. At root, the reason is that eigenvectors are inherently global quantities, thus limiting the applicability of eigenvector-based methods in situations where one is interested in very local properties of the data. In this paper, we address this issue by providing...

  6. The reliability and validity of three questionnaires: The Student Satisfaction and Self-Confidence in Learning Scale, Simulation Design Scale, and Educational Practices Questionnaire.

    Science.gov (United States)

    Unver, Vesile; Basak, Tulay; Watts, Penni; Gaioso, Vanessa; Moss, Jacqueline; Tastan, Sevinc; Iyigun, Emine; Tosun, Nuran

    2017-02-01

    The purpose of this study was to adapt the "Student Satisfaction and Self-Confidence in Learning Scale" (SCLS), "Simulation Design Scale" (SDS), and "Educational Practices Questionnaire" (EPQ) developed by Jeffries and Rizzolo into Turkish and establish the reliability and the validity of these translated scales. A sample of 87 nursing students participated in this study. These scales were cross-culturally adapted through a process including translation, comparison with original version, back translation, and pretesting. Construct validity was evaluated by factor analysis, and criterion validity was evaluated using the Perceived Learning Scale, Patient Intervention Self-confidence/Competency Scale, and Educational Belief Scale. Cronbach's alpha values were found as 0.77-0.85 for SCLS, 0.73-0.86 for SDS, and 0.61-0.86 for EPQ. The results of this study show that the Turkish versions of all scales are validated and reliable measurement tools.

  7. A fast learning method for large scale and multi-class samples of SVM

    Science.gov (United States)

    Fan, Yu; Guo, Huiming

    2017-06-01

    A multi-class classification SVM(Support Vector Machine) fast learning method based on binary tree is presented to solve its low learning efficiency when SVM processing large scale multi-class samples. This paper adopts bottom-up method to set up binary tree hierarchy structure, according to achieved hierarchy structure, sub-classifier learns from corresponding samples of each node. During the learning, several class clusters are generated after the first clustering of the training samples. Firstly, central points are extracted from those class clusters which just have one type of samples. For those which have two types of samples, cluster numbers of their positive and negative samples are set respectively according to their mixture degree, secondary clustering undertaken afterwards, after which, central points are extracted from achieved sub-class clusters. By learning from the reduced samples formed by the integration of extracted central points above, sub-classifiers are obtained. Simulation experiment shows that, this fast learning method, which is based on multi-level clustering, can guarantee higher classification accuracy, greatly reduce sample numbers and effectively improve learning efficiency.

  8. Hierarchical Learning of Tree Classifiers for Large-Scale Plant Species Identification.

    Science.gov (United States)

    Fan, Jianping; Zhou, Ning; Peng, Jinye; Gao, Ling

    2015-11-01

    In this paper, a hierarchical multi-task structural learning algorithm is developed to support large-scale plant species identification, where a visual tree is constructed for organizing large numbers of plant species in a coarse-to-fine fashion and determining the inter-related learning tasks automatically. For a given parent node on the visual tree, it contains a set of sibling coarse-grained categories of plant species or sibling fine-grained plant species, and a multi-task structural learning algorithm is developed to train their inter-related classifiers jointly for enhancing their discrimination power. The inter-level relationship constraint, e.g., a plant image must first be assigned to a parent node (high-level non-leaf node) correctly if it can further be assigned to the most relevant child node (low-level non-leaf node or leaf node) on the visual tree, is formally defined and leveraged to learn more discriminative tree classifiers over the visual tree. Our experimental results have demonstrated the effectiveness of our hierarchical multi-task structural learning algorithm on training more discriminative tree classifiers for large-scale plant species identification.

  9. Scaling up graph-based semisupervised learning via prototype vector machines.

    Science.gov (United States)

    Zhang, Kai; Lan, Liang; Kwok, James T; Vucetic, Slobodan; Parvin, Bahram

    2015-03-01

    When the amount of labeled data are limited, semisupervised learning can improve the learner's performance by also using the often easily available unlabeled data. In particular, a popular approach requires the learned function to be smooth on the underlying data manifold. By approximating this manifold as a weighted graph, such graph-based techniques can often achieve state-of-the-art performance. However, their high time and space complexities make them less attractive on large data sets. In this paper, we propose to scale up graph-based semisupervised learning using a set of sparse prototypes derived from the data. These prototypes serve as a small set of data representatives, which can be used to approximate the graph-based regularizer and to control model complexity. Consequently, both training and testing become much more efficient. Moreover, when the Gaussian kernel is used to define the graph affinity, a simple and principled method to select the prototypes can be obtained. Experiments on a number of real-world data sets demonstrate encouraging performance and scaling properties of the proposed approach. It also compares favorably with models learned via l1 -regularization at the same level of model sparsity. These results demonstrate the efficacy of the proposed approach in producing highly parsimonious and accurate models for semisupervised learning.

  10. e-Learning quality: Scale development and validation in Indian context

    Directory of Open Access Journals (Sweden)

    Arun Kumar Agariya

    2012-12-01

    Full Text Available The aim of this paper is to develop a reliable and valid e-learning quality measurement scales from the learner as well as faculty perspectives in Indian context. Exploratory factor analysis followed by confirmatory factor analysis was done which is presented in two forms; covariance model and the structural model. The covariance model shows that the factors namely collaboration, industry acceptance and value addition are important from the learner’s point of view whereas the factors namely transparency in assessment, technical know-how and engagement (from students are important from faculty point of view. Factors namely course content and design structures (technology/website design are found equally important for learner’s as well as faculty’s perspective. The structural models validate the previously extracted factors along with their indicators. The findings of this study validate the long held belief that e-learning quality is a multidimensional construct and serves as a critical success factor. The proposed scale will help in identifying issues that contribute towards e-learning quality in Indian context and thereby formulating strategies accordingly, resulting in efficient (in terms of cost and effective (outcomes e-learning practices, which is the necessity of the hour for the economic development of the country. A fair amount of literature on e-learning dealt with identifying factors explaining the constructs of quality, perceived value and satisfaction. But there is paucity of research pertaining to e-learning quality scale development and validation from the learner as well as faculty perspective. This study is an attempt to bridge this gap in the existing literature.

  11. Concept of economic readiness levels assessment

    Science.gov (United States)

    Yuniaristanto, Sutopo, W.; Widiyanto, A.; Putri, A. S.

    2017-11-01

    This research aims to build a concept of Economic Readiness Level (ERL) assessment for incubation center. ERL concept is arranged by considering both market and business aspects. Every aspect is divided into four phases and each of them consists of some indicators. Analytic Hierarchy Process (AHP) is used to develop the ERL in calculating the weight of every single aspect and indicator. Interval scale between 0 and 4 is also applied in indicator assessment. In order to calculate ERL, score in every indicator and the weight of both the aspect and indicator are considered. ERL value is able to show in detail the innovative product readiness level from economic sight, market and business aspect. There are four levels in Economic Readiness Level scheme which are investigation, feasibility, planning and introduction.

  12. Chemically intuited, large-scale screening of MOFs by machine learning techniques

    Science.gov (United States)

    Borboudakis, Giorgos; Stergiannakos, Taxiarchis; Frysali, Maria; Klontzas, Emmanuel; Tsamardinos, Ioannis; Froudakis, George E.

    2017-10-01

    A novel computational methodology for large-scale screening of MOFs is applied to gas storage with the use of machine learning technologies. This approach is a promising trade-off between the accuracy of ab initio methods and the speed of classical approaches, strategically combined with chemical intuition. The results demonstrate that the chemical properties of MOFs are indeed predictable (stochastically, not deterministically) using machine learning methods and automated analysis protocols, with the accuracy of predictions increasing with sample size. Our initial results indicate that this methodology is promising to apply not only to gas storage in MOFs but in many other material science projects.

  13. Test-retest reliability of the Clinical Learning Environment, Supervision and Nurse Teacher (CLES + T) scale.

    Science.gov (United States)

    Gustafsson, Margareta; Blomberg, Karin; Holmefur, Marie

    2015-07-01

    The Clinical Learning Environment, Supervision and Nurse Teacher (CLES + T) scale evaluates the student nurses' perception of the learning environment and supervision within the clinical placement. It has never been tested in a replication study. The aim of the present study was to evaluate the test-retest reliability of the CLES + T scale. The CLES + T scale was administered twice to a group of 42 student nurses, with a one-week interval. Test-retest reliability was determined by calculations of Intraclass Correlation Coefficients (ICCs) and weighted Kappa coefficients. Standard Error of Measurements (SEM) and Smallest Detectable Difference (SDD) determined the precision of individual scores. Bland-Altman plots were created for analyses of systematic differences between the test occasions. The results of the study showed that the stability over time was good to excellent (ICC 0.88-0.96) in the sub-dimensions "Supervisory relationship", "Pedagogical atmosphere on the ward" and "Role of the nurse teacher". Measurements of "Premises of nursing on the ward" and "Leadership style of the manager" had lower but still acceptable stability (ICC 0.70-0.75). No systematic differences occurred between the test occasions. This study supports the usefulness of the CLES + T scale as a reliable measure of the student nurses' perception of the learning environment within the clinical placement at a hospital. Copyright © 2015 Elsevier Ltd. All rights reserved.

  14. Large-scale machine learning and evaluation platform for real-time traffic surveillance

    Science.gov (United States)

    Eichel, Justin A.; Mishra, Akshaya; Miller, Nicholas; Jankovic, Nicholas; Thomas, Mohan A.; Abbott, Tyler; Swanson, Douglas; Keller, Joel

    2016-09-01

    In traffic engineering, vehicle detectors are trained on limited datasets, resulting in poor accuracy when deployed in real-world surveillance applications. Annotating large-scale high-quality datasets is challenging. Typically, these datasets have limited diversity; they do not reflect the real-world operating environment. There is a need for a large-scale, cloud-based positive and negative mining process and a large-scale learning and evaluation system for the application of automatic traffic measurements and classification. The proposed positive and negative mining process addresses the quality of crowd sourced ground truth data through machine learning review and human feedback mechanisms. The proposed learning and evaluation system uses a distributed cloud computing framework to handle data-scaling issues associated with large numbers of samples and a high-dimensional feature space. The system is trained using AdaBoost on 1,000,000 Haar-like features extracted from 70,000 annotated video frames. The trained real-time vehicle detector achieves an accuracy of at least 95% for 1/2 and about 78% for 19/20 of the time when tested on ˜7,500,000 video frames. At the end of 2016, the dataset is expected to have over 1 billion annotated video frames.

  15. Capture ready study

    Energy Technology Data Exchange (ETDEWEB)

    Minchener, A.

    2007-07-15

    There are a large number of ways in which the capture of carbon as carbon dioxide (CO{sub 2}) can be integrated into fossil fuel power stations, most being applicable for both gas and coal feedstocks. To add to the choice of technology is the question of whether an existing plant should be retrofitted for capture, or whether it is more attractive to build totally new. This miscellany of choices adds considerably to the commercial risk of investing in a large power station. An intermediate stage between the non-capture and full capture state would be advantageous in helping to determine the best way forward and hence reduce those risks. In recent years the term 'carbon capture ready' or 'capture ready' has been coined to describe such an intermediate stage plant and is now widely used. However a detailed and all-encompassing definition of this term has never been published. All fossil fuel consuming plant produce a carbon dioxide gas byproduct. There is a possibility of scrubbing it with an appropriate CO{sub 2} solvent. Hence it could be said that all fossil fuel plant is in a condition for removal of its CO{sub 2} effluent and therefore already in a 'capture ready' state. Evidently, the practical reality of solvent scrubbing could cost more than the rewards offered by such as the ETS (European Trading Scheme). In which case, it can be said that although the possibility exists of capturing CO{sub 2}, it is not a commercially viable option and therefore the plant could not be described as ready for CO{sub 2} capture. The boundary between a capture ready and a non-capture ready condition using this definition cannot be determined in an objective and therefore universally acceptable way and criteria must be found which are less onerous and less potentially contentious to assess. 16 refs., 2 annexes.

  16. Up-scaling, formative phases, and learning in the historical diffusion of energy technologies

    International Nuclear Information System (INIS)

    Wilson, Charlie

    2012-01-01

    The 20th century has witnessed wholesale transformation in the energy system marked by the pervasive diffusion of both energy supply and end-use technologies. Just as whole industries have grown, so too have unit sizes or capacities. Analysed in combination, these unit level and industry level growth patterns reveal some consistencies across very different energy technologies. First, the up-scaling or increase in unit size of an energy technology comes after an often prolonged period of experimentation with many smaller-scale units. Second, the peak growth phase of an industry can lag these increases in unit size by up to 20 years. Third, the rate and timing of up-scaling at the unit level is subject to countervailing influences of scale economies and heterogeneous market demand. These observed patterns have important implications for experience curve analyses based on time series data covering the up-scaling phases of energy technologies, as these are likely to conflate industry level learning effects with unit level scale effects. The historical diffusion of energy technologies also suggests that low carbon technology policies pushing for significant jumps in unit size before a ‘formative phase’ of experimentation with smaller-scale units are risky. - Highlights: ► Comparative analysis of energy technology diffusion. ► Consistent pattern of sequential formative, up-scaling, and growth phases. ► Evidence for conflation of industry level learning effects with unit level up-scaling. ► Implications for experience curve analyses and technology policy.

  17. Lightning Arrestor Connectors Production Readiness

    Energy Technology Data Exchange (ETDEWEB)

    Marten, Steve; Linder, Kim; Emmons, Jim; Gomez, Antonio; Hasam, Dawud; Maurer, Michelle

    2008-10-20

    The Lightning Arrestor Connector (LAC), part “M”, presented opportunities to improve the processes used to fabricate LACs. The A## LACs were the first production LACs produced at the KCP, after the product was transferred from Pinnellas. The new LAC relied on the lessons learned from the A## LACs; however, additional improvements were needed to meet the required budget, yield, and schedule requirements. Improvement projects completed since 2001 include Hermetic Connector Sealing Improvement, Contact Assembly molding Improvement, development of a second vendor for LAC shells, general process improvement, tooling improvement, reduction of the LAC production cycle time, and documention of the LAC granule fabrication process. This report summarizes the accomplishments achieved in improving the LAC Production Readiness.

  18. Ready to Implement? How the Out-of-School Time Workforce Can Support Character Development through Social and Emotional Learning: A Review of the Literature and Future Directions

    Science.gov (United States)

    Moroney, Deborah A.; Devaney, Elizabeth

    2017-01-01

    This paper reviews the evidence on staff practices and quality programs that foster character development through social and emotional learning. The paper describes the state of the OST workforce, and barriers and opportunities to adding social and emotional learning to their job description. Specifically, the paper provides an overview of the…

  19. Examining Gender Differences toward the Adoption of Online Learning and Predicting the Readiness of Faculty Members in a Middle-Eastern Recently Established Public University

    Science.gov (United States)

    Abahussain, Mohammed Mansour

    2017-01-01

    This quantitative study examined the gender-based difference toward the adoption of online learning based on constructs of the Theory of Planned Behavior (TPB). It is also aimed to predict the Behavioral Intention of the adoption of online learning based on the predicting variables of the TPB, Attitude, Subjective Norm, and Perceived Behavioral…

  20. Off-Policy Reinforcement Learning: Optimal Operational Control for Two-Time-Scale Industrial Processes.

    Science.gov (United States)

    Li, Jinna; Kiumarsi, Bahare; Chai, Tianyou; Lewis, Frank L; Fan, Jialu

    2017-12-01

    Industrial flow lines are composed of unit processes operating on a fast time scale and performance measurements known as operational indices measured at a slower time scale. This paper presents a model-free optimal solution to a class of two time-scale industrial processes using off-policy reinforcement learning (RL). First, the lower-layer unit process control loop with a fast sampling period and the upper-layer operational index dynamics at a slow time scale are modeled. Second, a general optimal operational control problem is formulated to optimally prescribe the set-points for the unit industrial process. Then, a zero-sum game off-policy RL algorithm is developed to find the optimal set-points by using data measured in real-time. Finally, a simulation experiment is employed for an industrial flotation process to show the effectiveness of the proposed method.

  1. School Readiness Factor Analyzed.

    Science.gov (United States)

    Brenner, Anton; Scott, Leland H.

    This paper is an empirical statistical analysis and interpretation of data relating to school readiness previously examined and reported on a theoretical basis. A total of 118 white, middle class children from six consecutive kindergarten groups in Dearborn, Michigan were tested with seven instruments, evaluated in terms of achievement, ability,…

  2. GIS Readiness Survey 2014

    DEFF Research Database (Denmark)

    Schrøder, Lise; Hvingel, Line Træholt; Hansen, Henning Sten

    2014-01-01

    The GIS Readiness Survey 2014 is a follow-up to the corresponding survey that was carried out among public institutions in Denmark in 2009. The present survey thus provides an updated image of status and challenges in relation to the use of spatial information, the construction of the com- mon...

  3. TensorFlow: A system for large-scale machine learning

    OpenAIRE

    Abadi, Martín; Barham, Paul; Chen, Jianmin; Chen, Zhifeng; Davis, Andy; Dean, Jeffrey; Devin, Matthieu; Ghemawat, Sanjay; Irving, Geoffrey; Isard, Michael; Kudlur, Manjunath; Levenberg, Josh; Monga, Rajat; Moore, Sherry; Murray, Derek G.

    2016-01-01

    TensorFlow is a machine learning system that operates at large scale and in heterogeneous environments. TensorFlow uses dataflow graphs to represent computation, shared state, and the operations that mutate that state. It maps the nodes of a dataflow graph across many machines in a cluster, and within a machine across multiple computational devices, including multicore CPUs, general-purpose GPUs, and custom designed ASICs known as Tensor Processing Units (TPUs). This architecture gives flexib...

  4. Automated Bug Assignment: Ensemble-based Machine Learning in Large Scale Industrial Contexts

    OpenAIRE

    Jonsson, Leif; Borg, Markus; Broman, David; Sandahl, Kristian; Eldh, Sigrid; Runeson, Per

    2016-01-01

    Bug report assignment is an important part of software maintenance. In particular, incorrect assignments of bug reports to development teams can be very expensive in large software development projects. Several studies propose automating bug assignment techniques using machine learning in open source software contexts, but no study exists for large-scale proprietary projects in industry. The goal of this study is to evaluate automated bug assignment techniques that are based on machine learni...

  5. An Exploratory Analysis of Readiness for Environmental Education.

    Science.gov (United States)

    Harmon, N. Paul; And Others

    Contained in this monograph is a review and synthesis of developmental psychology and learning theory, with major emphasis upon applications of the developmental perspective to environmental education curriculum and instruction. Based upon a summary of the work of Piaget and his followers, a learning readiness axis is proposed. Also examined are…

  6. Organizational readiness in specialty mental health care.

    Science.gov (United States)

    Hamilton, Alison B; Cohen, Amy N; Young, Alexander S

    2010-01-01

    Implementing quality improvement efforts in clinics is challenging. Assessment of organizational "readiness" for change can set the stage for implementation by providing information regarding existing strengths and deficiencies, thereby increasing the chance of a successful improvement effort. This paper discusses organizational assessment in specialty mental health, in preparation for improving care for individuals with schizophrenia. To assess organizational readiness for change in specialty mental health in order to facilitate locally tailored implementation strategies. EQUIP-2 is a site-level controlled trial at nine VA medical centers (four intervention, five control). Providers at all sites completed an organizational readiness for change (ORC) measure, and key stakeholders at the intervention sites completed a semi-structured interview at baseline. At the four intervention sites, 16 administrators and 43 clinical staff completed the ORC, and 38 key stakeholders were interviewed. The readiness domains of training needs, communication, and change were the domains with lower mean scores (i.e., potential deficiencies) ranging from a low of 23.8 to a high of 36.2 on a scale of 10-50, while staff attributes of growth and adaptability had higher mean scores (i.e., potential strengths) ranging from a low of 35.4 to a high of 41.1. Semi-structured interviews revealed that staff perceptions and experiences of change and decision-making are affected by larger structural factors such as change mandates from VA headquarters. Motivation for change, organizational climate, staff perceptions and beliefs, and prior experience with change efforts contribute to readiness for change in specialty mental health. Sites with less readiness for change may require more flexibility in the implementation of a quality improvement intervention. We suggest that uptake of evidence-based practices can be enhanced by tailoring implementation efforts to the strengths and deficiencies of the

  7. When the globe is your classroom: teaching and learning about large-scale environmental change online

    Science.gov (United States)

    Howard, E. A.; Coleman, K. J.; Barford, C. L.; Kucharik, C.; Foley, J. A.

    2005-12-01

    Understanding environmental problems that cross physical and disciplinary boundaries requires a more holistic view of the world - a "systems" approach. Yet it is a challenge for many learners to start thinking this way, particularly when the problems are large in scale and not easily visible. We will describe our online university course, "Humans and the Changing Biosphere," which takes a whole-systems perspective for teaching regional to global-scale environmental science concepts, including climate, hydrology, ecology, and human demographics. We will share our syllabus and learning objectives and summarize our efforts to incorporate "best" practices for online teaching. We will describe challenges we have faced, and our efforts to reach different learner types. Our goals for this presentation are: (1) to communicate how a systems approach ties together environmental sciences (including climate, hydrology, ecology, biogeochemistry, and demography) that are often taught as separate disciplines; (2) to generate discussion about challenges of teaching large-scale environmental processes; (3) to share our experiences in teaching these topics online; (4) to receive ideas and feedback on future teaching strategies. We will explain why we developed this course online, and share our experiences about benefits and challenges of teaching over the web - including some suggestions about how to use technology to supplement face-to-face learning experiences (and vice versa). We will summarize assessment data about what students learned during the course, and discuss key misconceptions and barriers to learning. We will highlight the role of an online discussion board in creating classroom community, identifying misconceptions, and engaging different types of learners.

  8. Vogtle Unit 1 readiness review: Assessment of Georgia Power Company readiness review pilot program

    International Nuclear Information System (INIS)

    Lewis, G.

    1987-09-01

    Georgia Power Company (GPC) performed a readiness review at Vogtle Unit 1 as a pilot program. The pilot program was a new and innovative approach for the systematic and disciplined review, with senior management involvement, of GPC's implementation of design, construction, and operational readiness processes. The program's principal objective was to increase the level of assurance that quality programs at Vogtle Unit 1 have been accomplished in accordance with regulatory requirements. This report assesses the effectiveness of the GPC's readiness review pilot program (RRPP) at Vogtle Unit 1. It includes (1) an overview of what was experienced during the program's implementation, (2) an assessment of how well program objectives were met, and (3) lessons learned on the future use of the readiness review concept. Overall, GPC and the NRC staff believe that the RRPP at Vogtle Unit 1 was a success and that the program provided significant added assurance that Vogtle Unit 1 licensing commitments and NRC regulations have been adequately implemented. Although altering the NRC licensing review process for the few plants still in the construction pipeline may not be appropriate, licensees may benefit significantly by performing readiness reviews on their own initiative as GPC did for Vogtle. (7 refs.)

  9. The Pediatrician's Role in Optimizing School Readiness.

    Science.gov (United States)

    2016-09-01

    School readiness includes not only the early academic skills of children but also their physical health, language skills, social and emotional development, motivation to learn, creativity, and general knowledge. Families and communities play a critical role in ensuring children's growth in all of these areas and thus their readiness for school. Schools must be prepared to teach all children when they reach the age of school entry, regardless of their degree of readiness. Research on early brain development emphasizes the effects of early experiences, relationships, and emotions on creating and reinforcing the neural connections that are the basis for learning. Pediatricians, by the nature of their relationships with families and children, may significantly influence school readiness. Pediatricians have a primary role in ensuring children's physical health through the provision of preventive care, treatment of illness, screening for sensory deficits, and monitoring nutrition and growth. They can promote and monitor the social-emotional development of children by providing anticipatory guidance on development and behavior, by encouraging positive parenting practices, by modeling reciprocal and respectful communication with adults and children, by identifying and addressing psychosocial risk factors, and by providing community-based resources and referrals when warranted. Cognitive and language skills are fostered through timely identification of developmental problems and appropriate referrals for services, including early intervention and special education services; guidance regarding safe and stimulating early education and child care programs; and promotion of early literacy by encouraging language-rich activities such as reading together, telling stories, and playing games. Pediatricians are also well positioned to advocate not only for children's access to health care but also for high-quality early childhood education and evidence-based family supports such as

  10. Technology Readiness for the Smart Grid

    Energy Technology Data Exchange (ETDEWEB)

    Kirkham, Harold; Marinovici, Maria C.; Fitzpatrick, G.; Lindsey, K.; McBride, James; Clark, G. L.

    2013-06-30

    Reluctance to adopt new technology into a utility application is understandable, given the critical nature of the infrastructure and the less-than-ideal experiences of some power companies. The authors of this paper have considered adapting the NASA approach of classifying technology readiness, but find it not quite appropriate because NASA was both the developer and the eventual user of the new technology it was evaluating, whereas a utility is ordinarily in the mode of a customer, acquiring a new product from a manufacturer. Instead of a generic scale of technology readiness, a scale of readiness is proposed specifically for the smart grid, based on the many standards that exist for the relevant technologies. In this paper we present an overall structure for organization those standards. The acceptance of new technology is organized into five SGL (Smart Grid Level) steps, numbered five through 9 to correspond approximately to the last five numbers of the NASA TRL scale. SGL 5 is a certification that the hardware and software of the technology is safe for the system into which is intended to be placed. SGL 6 is documentation that the system is safe for itself, and will have adequate reliability. It is thus clear that the steps differ from NASA’s TRL in that technology development is not required, the transition is more one of documenting already existing system readiness. Since SGL 6 describes a system that is safe for the power system and for itself, it should not be restricted from being in a pilot-scale study, and achieving SGL 7. A larger-scale demonstration in a realistic environment will demonstrate interoperability and achieve SGL 8. Only when systems are installed and operating, and when disposal plans are in place will the designation of fully operable at SGL 9 be granted.

  11. Strengthening scaling up through learning from implementation: comparing experiences from Afghanistan, Bangladesh and Uganda.

    Science.gov (United States)

    Bennett, Sara; Mahmood, Shehrin Shaila; Edward, Anbrasi; Tetui, Moses; Ekirapa-Kiracho, Elizabeth

    2017-12-28

    Many effective innovations and interventions are never effectively scaled up. Implementation research (IR) has the promise of supporting scale-up through enabling rapid learning about the intervention and its fit with the context in which it is implemented. We integrate conceptual frameworks addressing different dimensions of scaling up (specifically, the attributes of the service or innovation being scaled, the actors involved, the context, and the scale-up strategy) and questions commonly addressed by IR (concerning acceptability, appropriateness, adoption, feasibility, fidelity to original design, implementation costs, coverage and sustainability) to explore how IR can support scale-up. We draw upon three IR studies conducted by Future Health Systems (FHS) in Afghanistan, Bangladesh and Uganda. We reviewed project documents from the period 2011-2016 to identify information related to the dimensions of scaling up. Further, for each country, we developed rich descriptions of how the research teams approached scaling up, and how IR contributed to scale-up. The rich descriptions were checked by FHS research teams. We identified common patterns and differences across the three cases. The three cases planned quite different innovations/interventions and had very different types of scale-up strategies. In all three cases, the research teams had extensive prior experience within the study communities, and little explicit attention was paid to contextual factors. All three cases involved complex interactions between the research teams and other stakeholders, among stakeholders, and between stakeholders and the intervention. The IR planned by the research teams focussed primarily on feasibility and effectiveness, but in practice, the research teams also had critical insights into other factors such as sustainability, acceptability, cost-effectiveness and appropriateness. Stakeholder analyses and other project management tools further complemented IR. IR can provide

  12. Large-scale Exploration of Neuronal Morphologies Using Deep Learning and Augmented Reality.

    Science.gov (United States)

    Li, Zhongyu; Butler, Erik; Li, Kang; Lu, Aidong; Ji, Shuiwang; Zhang, Shaoting

    2018-02-12

    Recently released large-scale neuron morphological data has greatly facilitated the research in neuroinformatics. However, the sheer volume and complexity of these data pose significant challenges for efficient and accurate neuron exploration. In this paper, we propose an effective retrieval framework to address these problems, based on frontier techniques of deep learning and binary coding. For the first time, we develop a deep learning based feature representation method for the neuron morphological data, where the 3D neurons are first projected into binary images and then learned features using an unsupervised deep neural network, i.e., stacked convolutional autoencoders (SCAEs). The deep features are subsequently fused with the hand-crafted features for more accurate representation. Considering the exhaustive search is usually very time-consuming in large-scale databases, we employ a novel binary coding method to compress feature vectors into short binary codes. Our framework is validated on a public data set including 58,000 neurons, showing promising retrieval precision and efficiency compared with state-of-the-art methods. In addition, we develop a novel neuron visualization program based on the techniques of augmented reality (AR), which can help users take a deep exploration of neuron morphologies in an interactive and immersive manner.

  13. Managing Military Readiness

    Science.gov (United States)

    2017-02-01

    These metrics contain critical information and have their place in readiness management. However, they have never been sufficient to fully...demand signals along with simultaneity assumptions form the es- sence of the operational requirements in national strategy. This section briefly... places demands on the capability and capacity of the Air Force that consume its resources in today’s fight and exceed our capacity to address

  14. K-Reactor readiness

    International Nuclear Information System (INIS)

    Rice, P.D.

    1991-01-01

    This document describes some of the more significant accomplishments in the reactor restart program and details the magnitude and extent of the work completed to bring K-Reactor to a state of restart readiness. The discussion of restart achievements is organized into the three major categories of personnel, programs, and plant. Also presented is information on the scope and extent of internal and external oversight of the efforts, as well as some details on the startup plan

  15. Hunting for Hydrothermal Vents at the Local-Scale Using AUV's and Machine-Learning Classification in the Earth's Oceans

    Science.gov (United States)

    White, S. M.

    2018-05-01

    New AUV-based mapping technology coupled with machine-learning methods for detecting individual vents and vent fields at the local-scale raise the possibility of understanding the geologic controls on hydrothermal venting.

  16. Large-scale assessment of olfactory preferences and learning in Drosophila melanogaster: behavioral and genetic components

    Directory of Open Access Journals (Sweden)

    Elisabetta Versace

    2015-09-01

    Full Text Available In the Evolve and Resequence method (E&R, experimental evolution and genomics are combined to investigate evolutionary dynamics and the genotype-phenotype link. As other genomic approaches, this methods requires many replicates with large population sizes, which imposes severe restrictions on the analysis of behavioral phenotypes. Aiming to use E&R for investigating the evolution of behavior in Drosophila, we have developed a simple and effective method to assess spontaneous olfactory preferences and learning in large samples of fruit flies using a T-maze. We tested this procedure on (a a large wild-caught population and (b 11 isofemale lines of Drosophila melanogaster. Compared to previous methods, this procedure reduces the environmental noise and allows for the analysis of large population samples. Consistent with previous results, we show that flies have a preference for orange vs. apple odor. With our procedure wild-derived flies exhibit olfactory learning in the absence of previous laboratory selection. Furthermore, we find genetic differences in the olfactory learning with relatively high heritability. We propose this large-scale method as an effective tool for E&R and genome-wide association studies on olfactory preferences and learning.

  17. Use of Facebook by Secondary School Students at Nuku'alofa as an Indicator of E-Readiness for E-Learning in the Kingdom of Tonga

    Science.gov (United States)

    Sopu, Hans T.; Chisaki, Yoshifumi; Usagawa, Tsuyoshi

    2016-01-01

    The Kingdom of Tonga is an isolated least developing country located on the northeast of New Zealand with a population of 103,252 (2011 census) and with a gross domestic product per capita of USD $2,545.20. Before educational systems in a least developing country like the Kingdom of Tonga begin employing e-learning, an assessment of the current…

  18. Validation to Portuguese of the Scale of Student Satisfaction and Self-Confidence in Learning.

    Science.gov (United States)

    Almeida, Rodrigo Guimarães dos Santos; Mazzo, Alessandra; Martins, José Carlos Amado; Baptista, Rui Carlos Negrão; Girão, Fernanda Berchelli; Mendes, Isabel Amélia Costa

    2015-01-01

    Translate and validate to Portuguese the Scale of Student Satisfaction and Self-Confidence in Learning. Methodological translation and validation study of a research tool. After following all steps of the translation process, for the validation process, the event III Workshop Brazil - Portugal: Care Delivery to Critical Patients was created, promoted by one Brazilian and another Portuguese teaching institution. 103 nurses participated. As to the validity and reliability of the scale, the correlation pattern between the variables, the sampling adequacy test (Kaiser-Meyer-Olkin) and the sphericity test (Bartlett) showed good results. In the exploratory factorial analysis (Varimax), item 9 behaved better in factor 1 (Satisfaction) than in factor 2 (Self-confidence in learning). The internal consistency (Cronbach's alpha) showed coefficients of 0.86 in factor 1 with six items and 0.77 for factor 2 with 07 items. In Portuguese this tool was called: Escala de Satisfação de Estudantes e Autoconfiança na Aprendizagem. The results found good psychometric properties and a good potential use. The sampling size and specificity are limitations of this study, but future studies will contribute to consolidate the validity of the scale and strengthen its potential use.

  19. Validation to Portuguese of the Scale of Student Satisfaction and Self-Confidence in Learning1

    Science.gov (United States)

    Almeida, Rodrigo Guimarães dos Santos; Mazzo, Alessandra; Martins, José Carlos Amado; Baptista, Rui Carlos Negrão; Girão, Fernanda Berchelli; Mendes, Isabel Amélia Costa

    2015-01-01

    Objective: translate and validate to Portuguese the Scale of Student Satisfaction and Self-Confidence in Learning. Material and Methods: methodological translation and validation study of a research tool. After following all steps of the translation process, for the validation process, the event III Workshop Brazil - Portugal: Care Delivery to Critical Patients was created, promoted by one Brazilian and another Portuguese teaching institution. Results: 103 nurses participated. As to the validity and reliability of the scale, the correlation pattern between the variables, the sampling adequacy test (Kaiser-Meyer-Olkin) and the sphericity test (Bartlett) showed good results. In the exploratory factorial analysis (Varimax), item 9 behaved better in factor 1 (Satisfaction) than in factor 2 (Self-confidence in learning). The internal consistency (Cronbach's alpha) showed coefficients of 0.86 in factor 1 with six items and 0.77 for factor 2 with 07 items. Conclusion: in Portuguese this tool was called: Escala de Satisfação de Estudantes e Autoconfiança na Aprendizagem. The results found good psychometric properties and a good potential use. The sampling size and specificity are limitations of this study, but future studies will contribute to consolidate the validity of the scale and strengthen its potential use. PMID:26625990

  20. Validation to Portuguese of the Scale of Student Satisfaction and Self-Confidence in Learning

    Directory of Open Access Journals (Sweden)

    Rodrigo Guimarães dos Santos Almeida

    2015-12-01

    Full Text Available Objective: translate and validate to Portuguese the Scale of Student Satisfaction and Self-Confidence in Learning. Material and Methods: methodological translation and validation study of a research tool. After following all steps of the translation process, for the validation process, the event III Workshop Brazil - Portugal: Care Delivery to Critical Patients was created, promoted by one Brazilian and another Portuguese teaching institution. Results: 103 nurses participated. As to the validity and reliability of the scale, the correlation pattern between the variables, the sampling adequacy test (Kaiser-Meyer-Olkin and the sphericity test (Bartlett showed good results. In the exploratory factorial analysis (Varimax, item 9 behaved better in factor 1 (Satisfaction than in factor 2 (Self-confidence in learning. The internal consistency (Cronbach's alpha showed coefficients of 0.86 in factor 1 with six items and 0.77 for factor 2 with 07 items. Conclusion: in Portuguese this tool was called: Escala de Satisfação de Estudantes e Autoconfiança na Aprendizagem. The results found good psychometric properties and a good potential use. The sampling size and specificity are limitations of this study, but future studies will contribute to consolidate the validity of the scale and strengthen its potential use.

  1. The Readiness of Sorsogon State College Faculty for Teaching with ICT: Basis for a Faculty Training Program

    Directory of Open Access Journals (Sweden)

    Catherine A. De Castro

    2016-02-01

    Full Text Available Information and communication technologies (ICT such as computers, multimedia systems, productivity software, and the Internet have greatly improved the performance of different organizations and influenced higher learning institutions like Sorsogon State College (SSC to develop and implement innovative teaching and learning methods. However, despite the many benefits of ICT when used in education, there are still faculty members who do not use these technologies for teaching. Hence, this research was conducted to assess their readiness for teaching with ICT. Findings revealed that most of the surveyed respondents were above forty-five years old, have 1-10 years of government service, and have specialization in the field of education. In terms of readiness to teach with ICT, the results disclosed that they were fairly ready along human-resource readiness, ready along technological skill readiness, and much ready along equipment readiness. Their age was not significantly related to their human resource readiness but significantly related to their technological skill and equipment readiness. The respondents’ number of years in the government was significantly related to their readiness to teach with ICT in terms of human resource, technological skill, and equipment readiness. Their field of specialization was not significantly related to their readiness to teach with ICT. Among the most identified factors why some of them do not use ICT resources were unavailability of ICT resources, lack of knowledge and lack of familiarity to ICT. The output of this research is a faculty training program to enhance their know

  2. Measuring Social Relations in New Classroom Spaces: Development and Validation of the Social Context and Learning Environments (SCALE) Survey

    Science.gov (United States)

    Walker, J. D.; Baepler, Paul

    2017-01-01

    This study addresses the need for reliable and valid information concerning how innovative classrooms on college and university campuses affect teaching and learning. The Social Context and Learning Environments (SCALE) survey was developed though a three-stage process involving approximately 1300 college students. Exploratory and confirmatory…

  3. Advancing Accounting Research of Teaching Efficacy: Developing a Scale to Measure Student Attitudes toward Active Learning Experiences

    Science.gov (United States)

    Burney, Laurie; Zascavage, Victoria; Matherly, Michele

    2017-01-01

    Literature consistently documents a positive, direct effect of students' attitudes on learning (Lizzio, Wilson, & Simons, 2002). Hence, accounting studies describing active learning activities often report student attitudes as evidence of efficacy (e.g., Matherly & Burney, 2013), but rely on single-item instead of multi-item scales. This…

  4. Seismic detection method for small-scale discontinuities based on dictionary learning and sparse representation

    Science.gov (United States)

    Yu, Caixia; Zhao, Jingtao; Wang, Yanfei

    2017-02-01

    Studying small-scale geologic discontinuities, such as faults, cavities and fractures, plays a vital role in analyzing the inner conditions of reservoirs, as these geologic structures and elements can provide storage spaces and migration pathways for petroleum. However, these geologic discontinuities have weak energy and are easily contaminated with noises, and therefore effectively extracting them from seismic data becomes a challenging problem. In this paper, a method for detecting small-scale discontinuities using dictionary learning and sparse representation is proposed that can dig up high-resolution information by sparse coding. A K-SVD (K-means clustering via Singular Value Decomposition) sparse representation model that contains two stage of iteration procedure: sparse coding and dictionary updating, is suggested for mathematically expressing these seismic small-scale discontinuities. Generally, the orthogonal matching pursuit (OMP) algorithm is employed for sparse coding. However, the method can only update one dictionary atom at one time. In order to improve calculation efficiency, a regularized version of OMP algorithm is presented for simultaneously updating a number of atoms at one time. Two numerical experiments demonstrate the validity of the developed method for clarifying and enhancing small-scale discontinuities. The field example of carbonate reservoirs further demonstrates its effectiveness in revealing masked tiny faults and small-scale cavities.

  5. A SCALE-UP Mock-Up: Comparison of Student Learning Gains in High- and Low-Tech Active-Learning Environments

    Science.gov (United States)

    Soneral, Paula A. G.; Wyse, Sara A.

    2017-01-01

    Student-centered learning environments with upside-down pedagogies (SCALE-UP) are widely implemented at institutions across the country, and learning gains from these classrooms have been well documented. This study investigates the specific design feature(s) of the SCALE-UP classroom most conducive to teaching and learning. Using pilot survey data from instructors and students to prioritize the most salient SCALE-UP classroom features, we created a low-tech “Mock-up” version of this classroom and tested the impact of these features on student learning, attitudes, and satisfaction using a quasi-­experimental setup. The same instructor taught two sections of an introductory biology course in the SCALE-UP and Mock-up rooms. Although students in both sections were equivalent in terms of gender, grade point average, incoming ACT, and drop/fail/withdraw rate, the Mock-up classroom enrolled significantly more freshmen. Controlling for class standing, multiple regression modeling revealed no significant differences in exam, in-class, preclass, and Introduction to Molecular and Cellular Biology Concept Inventory scores between the SCALE-UP and Mock-up classrooms. Thematic analysis of student comments highlighted that collaboration and whiteboards enhanced the learning experience, but technology was not important. Student satisfaction and attitudes were comparable. These results suggest that the benefits of a SCALE-UP experience can be achieved at lower cost without technology features. PMID:28213582

  6. Machine Learning for Big Data: A Study to Understand Limits at Scale

    Energy Technology Data Exchange (ETDEWEB)

    Sukumar, Sreenivas R. [Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States); Del-Castillo-Negrete, Carlos Emilio [Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States)

    2015-12-21

    This report aims to empirically understand the limits of machine learning when applied to Big Data. We observe that recent innovations in being able to collect, access, organize, integrate, and query massive amounts of data from a wide variety of data sources have brought statistical data mining and machine learning under more scrutiny, evaluation and application for gleaning insights from the data than ever before. Much is expected from algorithms without understanding their limitations at scale while dealing with massive datasets. In that context, we pose and address the following questions How does a machine learning algorithm perform on measures such as accuracy and execution time with increasing sample size and feature dimensionality? Does training with more samples guarantee better accuracy? How many features to compute for a given problem? Do more features guarantee better accuracy? Do efforts to derive and calculate more features and train on larger samples worth the effort? As problems become more complex and traditional binary classification algorithms are replaced with multi-task, multi-class categorization algorithms do parallel learners perform better? What happens to the accuracy of the learning algorithm when trained to categorize multiple classes within the same feature space? Towards finding answers to these questions, we describe the design of an empirical study and present the results. We conclude with the following observations (i) accuracy of the learning algorithm increases with increasing sample size but saturates at a point, beyond which more samples do not contribute to better accuracy/learning, (ii) the richness of the feature space dictates performance - both accuracy and training time, (iii) increased dimensionality often reflected in better performance (higher accuracy in spite of longer training times) but the improvements are not commensurate the efforts for feature computation and training and (iv) accuracy of the learning algorithms

  7. Creating a brief rating scale for the assessment of learning disabilities using reliability and true score estimates of the scale's items based on the Rasch model.

    Science.gov (United States)

    Sideridis, Georgios; Padeliadu, Susana

    2013-01-01

    The purpose of the present studies was to provide the means to create brief versions of instruments that can aid the diagnosis and classification of students with learning disabilities and comorbid disorders (e.g., attention-deficit/hyperactivity disorder). A sample of 1,108 students with and without a diagnosis of learning disabilities took part in study 1. Using information from modern theory methods (i.e., the Rasch model), a scale was created that included fewer than one third of the original battery items designed to assess reading skills. This best item synthesis was then evaluated for its predictive and criterion validity with a valid external reading battery (study 2). Using a sample of 232 students with and without learning disabilities, results indicated that the brief version of the scale was equally effective as the original scale in predicting reading achievement. Analysis of the content of the brief scale indicated that the best item synthesis involved items from cognition, motivation, strategy use, and advanced reading skills. It is suggested that multiple psychometric criteria be employed in evaluating the psychometric adequacy of scales used for the assessment and identification of learning disabilities and comorbid disorders.

  8. The use of an active learning approach in a SCALE-UP learning space improves academic performance in undergraduate General Biology.

    Science.gov (United States)

    Hacisalihoglu, Gokhan; Stephens, Desmond; Johnson, Lewis; Edington, Maurice

    2018-01-01

    Active learning is a pedagogical approach that involves students engaging in collaborative learning, which enables them to take more responsibility for their learning and improve their critical thinking skills. While prior research examined student performance at majority universities, this study focuses on specifically Historically Black Colleges and Universities (HBCUs) for the first time. Here we present work that focuses on the impact of active learning interventions at Florida A&M University, where we measured the impact of active learning strategies coupled with a SCALE-UP (Student Centered Active Learning Environment with Upside-down Pedagogies) learning environment on student success in General Biology. In biology sections where active learning techniques were employed, students watched online videos and completed specific activities before class covering information previously presented in a traditional lecture format. In-class activities were then carefully planned to reinforce critical concepts and enhance critical thinking skills through active learning techniques such as the one-minute paper, think-pair-share, and the utilization of clickers. Students in the active learning and control groups covered the same topics, took the same summative examinations and completed identical homework sets. In addition, the same instructor taught all of the sections included in this study. Testing demonstrated that these interventions increased learning gains by as much as 16%, and students reported an increase in their positive perceptions of active learning and biology. Overall, our results suggest that active learning approaches coupled with the SCALE-UP environment may provide an added opportunity for student success when compared with the standard modes of instruction in General Biology.

  9. Teaching Scales in the Climate System: An example of interdisciplinary teaching and learning

    Science.gov (United States)

    Baehr, Johanna; Behrens, Jörn; Brüggemann, Michael; Frisius, Thomas; Glessmer, Mirjam S.; Hartmann, Jens; Hense, Inga; Kaleschke, Lars; Kutzbach, Lars; Rödder, Simone; Scheffran, Jürgen

    2016-04-01

    Climate change is commonly regarded as one of 21st century's grand challenges that needs to be addressed by conducting integrated research combining natural and social sciences. To meet this need, how to best train future climate researchers should be reconsidered. Here, we present our experience from a team-taught semester-long course with students of the international master program "Integrated Climate System Sciences" (ICSS) at the University of Hamburg, Germany. Ten lecturers with different backgrounds in physical, mathematical, biogeochemical and social sciences accompanied by a researcher trained in didactics prepared and regularly participated in a course which consisted of weekly classes. The foundation of the course was the use of the concept of 'scales' - climate varying on different temporal and spatial scales - by developing a joint definition of 'scales in the climate system' that is applicable in the natural sciences and in the social sciences. By applying this interdisciplinary definition of 'scales' to phenomena from all components of the climate system and the socio-economic dimensions, we aimed for an integrated description of the climate system. Following the concept of research-driven teaching and learning and using a variety of teaching techniques, the students designed their own scale diagram to illustrate climate-related phenomena in different disciplines. The highlight of the course was the presentation of individually developed scale diagrams by every student with all lecturers present. Based on the already conducted course, we currently re-design the course concept to be teachable by a similarly large group of lecturers but with alternating presence in class. With further refinement and also a currently ongoing documentation of the teaching material, we will continue to use the concept of 'scales' as a vehicle for teaching an integrated view of the climate system.

  10. TensorFlow: Large-Scale Machine Learning on Heterogeneous Distributed Systems

    OpenAIRE

    Abadi, Martín; Agarwal, Ashish; Barham, Paul; Brevdo, Eugene; Chen, Zhifeng; Citro, Craig; Corrado, Greg S.; Davis, Andy; Dean, Jeffrey; Devin, Matthieu; Ghemawat, Sanjay; Goodfellow, Ian; Harp, Andrew; Irving, Geoffrey; Isard, Michael

    2016-01-01

    TensorFlow is an interface for expressing machine learning algorithms, and an implementation for executing such algorithms. A computation expressed using TensorFlow can be executed with little or no change on a wide variety of heterogeneous systems, ranging from mobile devices such as phones and tablets up to large-scale distributed systems of hundreds of machines and thousands of computational devices such as GPU cards. The system is flexible and can be used to express a wide variety of algo...

  11. Cost reductions for offshore wind power. Exploring the balance between scaling, learning and R and D

    International Nuclear Information System (INIS)

    Van der Zwaan, B.; Rivera-Tinoco, R.; Lensink, S.; Van den Oosterkamp, P.

    2012-01-01

    Offshore wind electricity generation is prospected to increase substantially in the near future at a number of locations, like in the Baltic, Irish and North Sea, and emerge at several others. The global growth of offshore wind technology is likely to be accompanied by reductions in wind park construction costs, both as a result of scaling and learning effects. Since 2005, however, significant cost increases have been observed. A recent surge in commodity prices proves to constitute one of the main drivers of these cost increases. This observation begs the question whether wind turbine manufacturers should return to the laboratory for undertaking R and D that explores the use of alternative materials and bring offshore wind energy closer to competitiveness. It is demonstrated that if one abstracts from material price fluctuations, in particular for metals such as copper and steel, turbine production plus installation cost data publicly available for a series of offshore wind park projects (realized in several European countries since the 1990's) show a cost reduction trend. Hence various other sources of cost increases, such as due to the progressively larger distances from the shore (and correspondingly greater depths at sea) at which wind parks have been (and will be) built, are outshadowed by cost reduction effects. When one expresses the overall cost development for offshore wind energy capacity as an experience curve, a learning rate is found of 3%, which reflects a mixture of economies-of-scale and learning-by-doing mechanisms. Also the impact is quantified on offshore wind power construction costs from the recent tightness in the market for turbine manufacturing and installation services: without the demand-supply response inertia at the origin of this tightness it is estimated that the learning rate would be 5%. Since these learning rates are relatively low - in comparison to those observed for other technologies, and in view of the high current capacity

  12. The Student-Centered Active Learning Environment for Undergraduate Programs (SCALE-UP) Project

    Science.gov (United States)

    Beichner, Robert J.

    2011-04-01

    How do you keep a classroom of 100 undergraduates actively learning? Can students practice communication and teamwork skills in a large class? How do you boost the performance of underrepresented groups? The Student-Centered Active Learning Environment for Undergraduate Programs (SCALE-UP) Project has addressed these concerns. Because of their inclusion in a leading introductory physics textbook, project materials are used by more than 1/3 of all science, math, and engineering majors nationwide. The room design and pedagogy have been adopted at more than 100 leading institutions across the country. Physics, chemistry, math, astronomy, biology, engineering, earth sciences, and even literature classes are currently being taught this way. Educational research indicates that students should collaborate on interesting tasks and be deeply involved with the material they are studying. We promote active learning in a redesigned classroom for 100 students or more. (Of course, smaller classes can also benefit.) Class time is spent primarily on "tangibles" and "ponderables"--hands-on activities, simulations, and interesting questions. Nine students sit in three teams at round tables. Instructors circulate and engage in Socratic dialogues. The setting looks like a banquet hall, with lively interactions nearly all the time. Hundreds of hours of classroom video and audio recordings, transcripts of numerous interviews and focus groups, data from conceptual learning assessments (using widely-recognized instruments in a pretest/posttest protocol), and collected portfolios of student work are part of our rigorous assessment effort. Our findings (based on data from over 16,000 students collected over five years as well as replications at adopting sites) can be summarized as the following: 1) Female failure rate is 1/5 of previous levels, even though more is demanded of students. 2) Minority failure rate is 1/4 that seen in traditionally taught courses. 3) At-risk students are more

  13. Development and testing of the CALDs and CLES+T scales for international nursing students' clinical learning environments.

    Science.gov (United States)

    Mikkonen, Kristina; Elo, Satu; Miettunen, Jouko; Saarikoski, Mikko; Kääriäinen, Maria

    2017-08-01

    The purpose of this study was to develop and test the psychometric properties of the new Cultural and Linguistic Diversity scale, which is designed to be used with the newly validated Clinical Learning Environment, Supervision and Nurse Teacher scale for assessing international nursing students' clinical learning environments. In various developed countries, clinical placements are known to present challenges in the professional development of international nursing students. A cross-sectional survey. Data were collected from eight Finnish universities of applied sciences offering nursing degree courses taught in English during 2015-2016. All the relevant students (N = 664) were invited and 50% chose to participate. Of the total data submitted by the participants, 28% were used for scale validation. The construct validity of the two scales was tested by exploratory factor analysis, while their validity with respect to convergence and discriminability was assessed using Spearman's correlation. Construct validation of the Clinical Learning Environment, Supervision and Nurse Teacher scale yielded an eight-factor model with 34 items, while validation of the Cultural and Linguistic Diversity scale yielded a five-factor model with 21 items. A new scale was developed to improve evidence-based mentorship of international nursing students in clinical learning environments. The instrument will be useful to educators seeking to identify factors that affect the learning of international students. © 2017 John Wiley & Sons Ltd.

  14. A Large Scale Problem Based Learning inter-European Student Satellite Construction Project

    DEFF Research Database (Denmark)

    Nielsen, Jens Frederik Dalsgaard; Alminde, Lars; Bisgaard, Morten

    2006-01-01

    that electronic communication technology was vital within the project. Additionally the SSETI EXPRESS project implied the following problems it didn’t fit to a standard semester - 18 months for the satellite project compared to 5/6 months for a “normal” semester project. difficulties in integrating the tasks......A LARGE SCALE PROBLEM BASED LEARNING INTER-EUROPEAN STUDENT SATELLITE CONSTRUCTION PROJECT This paper describes the pedagogical outcome of a large scale PBL experiment. ESA (European Space Agency) Education Office launched January 2004 an ambitious project: Let students from all over Europe build....... The satellite was successfully launched on October 27th 2005 (http://www.express.space.aau.dk). The project was a student driven project with student project responsibility adding at lot of international experiences and project management skills to the outcome of more traditional one semester, single group...

  15. Scales

    Science.gov (United States)

    Scales are a visible peeling or flaking of outer skin layers. These layers are called the stratum ... Scales may be caused by dry skin, certain inflammatory skin conditions, or infections. Examples of disorders that ...

  16. Testing measurement invariance of the Learning Programme Management and Evaluation scale across academic achievement

    Directory of Open Access Journals (Sweden)

    Maelekanyo C. Mulaudzi

    2016-10-01

    Full Text Available Orientation: Measurement invariance is one of the most precarious aspects of the scale development process without which the interpretation of research findings on population subgroups may be ambiguous and even invalid. Besides tests for validity and reliability, measurement invariance represents the hallmark for psychometric compliance of a new measuring instrument and provides the basis for inference of research findings across a range of relevant population sub-groups. Research purpose: This study tested the measurement invariance of a Learning Programme Management and Evaluation (LPME scale across levels of academic achievement. Motivation for the study: It is important for any researcher involved in new scale development to ensure that the measurement instrument and its underlying constructs have proper structural alignment and that they both have the same level of meaning and significance across comparable heterogeneous groups. Research design, approach and method: A quantitative, non-experimental, cross-sectional survey design was used, and data were obtained from 369 participants who were selected from three public sector organisations using a probabilistic simple random sampling technique. The Statistical Package for Social Sciences and Analysis of Moment Structures software (versions 21.0.0 were used to analyse the data. Main findings: The findings show that all the four invariance models tested have achieved acceptable goodness-of-fit indices. Furthermore, the findings show that the factorial structure of the LPME scale and the meaning of its underlying constructs are invariant across different levels of academic achievement for human resource development (HRD practitioners and learners or apprentices involved in occupational learning programmes. Practical implications: The findings of this study suggest practical implications for HRD scholars as they are enabled to make informed decisional balance comparisons involving educational

  17. Higher Education Teachers' Descriptions of Their Own Learning: A Large-Scale Study of Finnish Universities of Applied Sciences

    Science.gov (United States)

    Töytäri, Aija; Piirainen, Arja; Tynjälä, Päivi; Vanhanen-Nuutinen, Liisa; Mäki, Kimmo; Ilves, Vesa

    2016-01-01

    In this large-scale study, higher education teachers' descriptions of their own learning were examined with qualitative analysis involving application of principles of phenomenographic research. This study is unique: it is unusual to use large-scale data in qualitative studies. The data were collected through an e-mail survey sent to 5960 teachers…

  18. Large-Scale Urban Decontamination; Developments, Historical Examples and Lessons Learned

    Energy Technology Data Exchange (ETDEWEB)

    Rick Demmer

    2007-02-01

    Recent terrorist threats and actual events have lead to a renewed interest in the technical field of large scale, urban environment decontamination. One of the driving forces for this interest is the real potential for the cleanup and removal of radioactive dispersal device (RDD or “dirty bomb”) residues. In response the U. S. Government has spent many millions of dollars investigating RDD contamination and novel decontamination methodologies. Interest in chemical and biological (CB) cleanup has also peaked with the threat of terrorist action like the anthrax attack at the Hart Senate Office Building and with catastrophic natural events such as Hurricane Katrina. The efficiency of cleanup response will be improved with these new developments and a better understanding of the “old reliable” methodologies. Perhaps the most interesting area of investigation for large area decontamination is that of the RDD. While primarily an economic and psychological weapon, the need to cleanup and return valuable or culturally significant resources to the public is nonetheless valid. Several private companies, universities and National Laboratories are currently developing novel RDD cleanup technologies. Because of its longstanding association with radioactive facilities, the U. S. Department of Energy National Laboratories are at the forefront in developing and testing new RDD decontamination methods. However, such cleanup technologies are likely to be fairly task specific; while many different contamination mechanisms, substrate and environmental conditions will make actual application more complicated. Some major efforts have also been made to model potential contamination, to evaluate both old and new decontamination techniques and to assess their readiness for use. Non-radioactive, CB threats each have unique decontamination challenges and recent events have provided some examples. The U. S. Environmental Protection Agency (EPA), as lead agency for these emergency

  19. Automated Detection of Microaneurysms Using Scale-Adapted Blob Analysis and Semi-Supervised Learning

    Energy Technology Data Exchange (ETDEWEB)

    Adal, Kedir M. [Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States); Sidebe, Desire [Univ. of Burgundy, Dijon (France); Ali, Sharib [Univ. of Burgundy, Dijon (France); Chaum, Edward [Univ. of Tennessee, Knoxville, TN (United States); Karnowski, Thomas Paul [Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States); Meriaudeau, Fabrice [Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States)

    2014-01-07

    Despite several attempts, automated detection of microaneurysm (MA) from digital fundus images still remains to be an open issue. This is due to the subtle nature of MAs against the surrounding tissues. In this paper, the microaneurysm detection problem is modeled as finding interest regions or blobs from an image and an automatic local-scale selection technique is presented. Several scale-adapted region descriptors are then introduced to characterize these blob regions. A semi-supervised based learning approach, which requires few manually annotated learning examples, is also proposed to train a classifier to detect true MAs. The developed system is built using only few manually labeled and a large number of unlabeled retinal color fundus images. The performance of the overall system is evaluated on Retinopathy Online Challenge (ROC) competition database. A competition performance measure (CPM) of 0.364 shows the competitiveness of the proposed system against state-of-the art techniques as well as the applicability of the proposed features to analyze fundus images.

  20. Large-scale transportation network congestion evolution prediction using deep learning theory.

    Science.gov (United States)

    Ma, Xiaolei; Yu, Haiyang; Wang, Yunpeng; Wang, Yinhai

    2015-01-01

    Understanding how congestion at one location can cause ripples throughout large-scale transportation network is vital for transportation researchers and practitioners to pinpoint traffic bottlenecks for congestion mitigation. Traditional studies rely on either mathematical equations or simulation techniques to model traffic congestion dynamics. However, most of the approaches have limitations, largely due to unrealistic assumptions and cumbersome parameter calibration process. With the development of Intelligent Transportation Systems (ITS) and Internet of Things (IoT), transportation data become more and more ubiquitous. This triggers a series of data-driven research to investigate transportation phenomena. Among them, deep learning theory is considered one of the most promising techniques to tackle tremendous high-dimensional data. This study attempts to extend deep learning theory into large-scale transportation network analysis. A deep Restricted Boltzmann Machine and Recurrent Neural Network architecture is utilized to model and predict traffic congestion evolution based on Global Positioning System (GPS) data from taxi. A numerical study in Ningbo, China is conducted to validate the effectiveness and efficiency of the proposed method. Results show that the prediction accuracy can achieve as high as 88% within less than 6 minutes when the model is implemented in a Graphic Processing Unit (GPU)-based parallel computing environment. The predicted congestion evolution patterns can be visualized temporally and spatially through a map-based platform to identify the vulnerable links for proactive congestion mitigation.

  1. Large-scale transportation network congestion evolution prediction using deep learning theory.

    Directory of Open Access Journals (Sweden)

    Xiaolei Ma

    Full Text Available Understanding how congestion at one location can cause ripples throughout large-scale transportation network is vital for transportation researchers and practitioners to pinpoint traffic bottlenecks for congestion mitigation. Traditional studies rely on either mathematical equations or simulation techniques to model traffic congestion dynamics. However, most of the approaches have limitations, largely due to unrealistic assumptions and cumbersome parameter calibration process. With the development of Intelligent Transportation Systems (ITS and Internet of Things (IoT, transportation data become more and more ubiquitous. This triggers a series of data-driven research to investigate transportation phenomena. Among them, deep learning theory is considered one of the most promising techniques to tackle tremendous high-dimensional data. This study attempts to extend deep learning theory into large-scale transportation network analysis. A deep Restricted Boltzmann Machine and Recurrent Neural Network architecture is utilized to model and predict traffic congestion evolution based on Global Positioning System (GPS data from taxi. A numerical study in Ningbo, China is conducted to validate the effectiveness and efficiency of the proposed method. Results show that the prediction accuracy can achieve as high as 88% within less than 6 minutes when the model is implemented in a Graphic Processing Unit (GPU-based parallel computing environment. The predicted congestion evolution patterns can be visualized temporally and spatially through a map-based platform to identify the vulnerable links for proactive congestion mitigation.

  2. Automated detection of microaneurysms using scale-adapted blob analysis and semi-supervised learning.

    Science.gov (United States)

    Adal, Kedir M; Sidibé, Désiré; Ali, Sharib; Chaum, Edward; Karnowski, Thomas P; Mériaudeau, Fabrice

    2014-04-01

    Despite several attempts, automated detection of microaneurysm (MA) from digital fundus images still remains to be an open issue. This is due to the subtle nature of MAs against the surrounding tissues. In this paper, the microaneurysm detection problem is modeled as finding interest regions or blobs from an image and an automatic local-scale selection technique is presented. Several scale-adapted region descriptors are introduced to characterize these blob regions. A semi-supervised based learning approach, which requires few manually annotated learning examples, is also proposed to train a classifier which can detect true MAs. The developed system is built using only few manually labeled and a large number of unlabeled retinal color fundus images. The performance of the overall system is evaluated on Retinopathy Online Challenge (ROC) competition database. A competition performance measure (CPM) of 0.364 shows the competitiveness of the proposed system against state-of-the art techniques as well as the applicability of the proposed features to analyze fundus images. Copyright © 2013 Elsevier Ireland Ltd. All rights reserved.

  3. Career Readiness: Has Its Time Finally Come?

    Science.gov (United States)

    DeWitt, Stephen

    2012-01-01

    In 2010, the Association for Career and Technical Education (ACTE) released a "What Is Career Ready?" definition. As the career-readiness definition explains, there is much overlap between "college readiness" and "career readiness," but academic preparedness for college alone is not enough to be truly career-ready.…

  4. Learning Analytics: Readiness and Rewards / L’analyse de l’apprentissage : état de préparation et récompenses

    Directory of Open Access Journals (Sweden)

    Norm Friesen

    2013-12-01

    Full Text Available This paper introduces the relatively new field of learning analytics, first by considering the relevant meanings of both “learning” and “analytics,” and then by looking at two main levels at which learning analytics can be or has been implemented in educational organizations. Although turnkey systems or modules are not yet available for review, specific technologies for analyzing online student activities have been implemented and piloted. As a result, this paper recommends an incremental approach to institutional preparedness. Ce rapport présente le domaine relativement nouveau de l’analyse de l’apprentissage en considérant d’abord la pertinence des deux termes “apprentissage” et “analyse”, puis en examinant les deux principaux niveaux auxquels l’analyse de l’apprentissage peut être ou a été mise en œuvre dans les organisations éducatives. Bien que des systèmes ou des modules « clés en main » intégrés ne puissent pas encore être examinés, des technologies spécifiques pour analyser les activités en ligne des étudiants ont été mises en place et testées. En conséquence, cet essai conseille en conclusion une approche progressive de préparation institutionnelle.

  5. Partnering to provide simulated learning to address Interprofessional Education Collaborative core competencies.

    Science.gov (United States)

    Murphy, Judy I; Nimmagadda, Jayashree

    2015-05-01

    Learning to effectively communicate and work with other professionals requires skill, yet interprofessional education is often not included in the undergraduate healthcare provider curriculum. Simulation is an effective pedagogy to bring students from multiple professions together for learning. This article describes a pilot study where nursing and social work students learned together in a simulated learning activity, which was evaluated to by the Readiness for Interprofessional Learning Scale (RIPLS). The RIPLS was used before and after the simulated activity to determine if this form of education impacted students' perceptions of readiness to learn together. Students from both professions improved in their RIPLS scores. Students were also asked to identify their interprofessional strengths and challenges before and after the simulation. Changes were identified in qualitative data where reports of strengths and challenges indicated learning and growth had occurred. In conclusion, this pilot study suggests that interprofessional simulation can be an effective method to integrate Interprofessional Education Collaborative core competencies into the curriculum.

  6. PV ready roofing systems

    Energy Technology Data Exchange (ETDEWEB)

    NONE

    2001-07-01

    The integration of PV technology into roofs of houses has become very popular in the United States, Japan, Germany and The Netherlands. There could be a considerable market in the UK for these systems, given the large number of houses that are projected to be built in the next 10 years, and taking account of increased awareness of energy issues. A significant proportion of the market share of annual installed PV is for solar PV systems installed into homes (currently 15%), this is expected to rise to 23% (900MW) by 2010. The grid connected roof and building mounted facade systems represent the fastest growing market for PV systems in Europe. In conclusion, therefore, innovative approached for fixing PV technology onto roofs have been identified for both domestic roofs and for the commercial sector. With reference to production methodologies within the roofing industry, both approaches should be capable of being designed with PV-ready connections suitable for fixing PV modules at a later date. This will help overcome the key barriers of cost of installation, skills required and the lack of retrofit potential. Based on the results of this project, Sustainable Energy together with PV Systems are keen to take forward the full research and development of PV-ready systems for both the domestic and commercial sectors.

  7. 'Ready to hit the ground running': Alumni and employer accounts of a unique part-time distance learning pre-registration nurse education programme.

    Science.gov (United States)

    Draper, Jan; Beretta, Ruth; Kenward, Linda; McDonagh, Lin; Messenger, Julie; Rounce, Jill

    2014-10-01

    This study explored the impact of The Open University's (OU) preregistration nursing programme on students' employability, career progression and its contribution to developing the nursing workforce across the United Kingdom. Designed for healthcare support workers who are sponsored by their employers, the programme is the only part-time supported open/distance learning programme in the UK leading to registration as a nurse. The international literature reveals that relatively little is known about the impact of previous experience as a healthcare support worker on the experience of transition, employability skills and career progression. To identify alumni and employer views of the perceived impact of the programme on employability, career progression and workforce development. A qualitative design using telephone interviews which were digitally recorded, and transcribed verbatim prior to content analysis to identify recurrent themes. Three geographical areas across the UK. Alumni (n=17) and employers (n=7). Inclusion criterion for alumni was a minimum of two years' post-qualifying experience. Inclusion criteria for employers were those that had responsibility for sponsoring students on the programme and employing them as newly qualified nurses. Four overarching themes were identified: transition, expectations, learning for and in practice, and flexibility. Alumni and employers were of the view that the programme equipped them well to meet the competencies and expectations of being a newly qualified nurse. It provided employers with a flexible route to growing their own workforce and alumni the opportunity to achieve their ambition of becoming a qualified nurse when other more conventional routes would not have been open to them. Some of them had already demonstrated career progression. Generalising results requires caution due to the small, self-selecting sample but findings suggest that a widening participation model of pre-registration nurse education for

  8. Classification of Suicide Attempts through a Machine Learning Algorithm Based on Multiple Systemic Psychiatric Scales

    Directory of Open Access Journals (Sweden)

    Jihoon Oh

    2017-09-01

    Full Text Available Classification and prediction of suicide attempts in high-risk groups is important for preventing suicide. The purpose of this study was to investigate whether the information from multiple clinical scales has classification power for identifying actual suicide attempts. Patients with depression and anxiety disorders (N = 573 were included, and each participant completed 31 self-report psychiatric scales and questionnaires about their history of suicide attempts. We then trained an artificial neural network classifier with 41 variables (31 psychiatric scales and 10 sociodemographic elements and ranked the contribution of each variable for the classification of suicide attempts. To evaluate the clinical applicability of our model, we measured classification performance with top-ranked predictors. Our model had an overall accuracy of 93.7% in 1-month, 90.8% in 1-year, and 87.4% in lifetime suicide attempts detection. The area under the receiver operating characteristic curve (AUROC was the highest for 1-month suicide attempts detection (0.93, followed by lifetime (0.89, and 1-year detection (0.87. Among all variables, the Emotion Regulation Questionnaire had the highest contribution, and the positive and negative characteristics of the scales similarly contributed to classification performance. Performance on suicide attempts classification was largely maintained when we only used the top five ranked variables for training (AUROC; 1-month, 0.75, 1-year, 0.85, lifetime suicide attempts detection, 0.87. Our findings indicate that information from self-report clinical scales can be useful for the classification of suicide attempts. Based on the reliable performance of the top five predictors alone, this machine learning approach could help clinicians identify high-risk patients in clinical settings.

  9. Classification of Suicide Attempts through a Machine Learning Algorithm Based on Multiple Systemic Psychiatric Scales.

    Science.gov (United States)

    Oh, Jihoon; Yun, Kyongsik; Hwang, Ji-Hyun; Chae, Jeong-Ho

    2017-01-01

    Classification and prediction of suicide attempts in high-risk groups is important for preventing suicide. The purpose of this study was to investigate whether the information from multiple clinical scales has classification power for identifying actual suicide attempts. Patients with depression and anxiety disorders ( N  = 573) were included, and each participant completed 31 self-report psychiatric scales and questionnaires about their history of suicide attempts. We then trained an artificial neural network classifier with 41 variables (31 psychiatric scales and 10 sociodemographic elements) and ranked the contribution of each variable for the classification of suicide attempts. To evaluate the clinical applicability of our model, we measured classification performance with top-ranked predictors. Our model had an overall accuracy of 93.7% in 1-month, 90.8% in 1-year, and 87.4% in lifetime suicide attempts detection. The area under the receiver operating characteristic curve (AUROC) was the highest for 1-month suicide attempts detection (0.93), followed by lifetime (0.89), and 1-year detection (0.87). Among all variables, the Emotion Regulation Questionnaire had the highest contribution, and the positive and negative characteristics of the scales similarly contributed to classification performance. Performance on suicide attempts classification was largely maintained when we only used the top five ranked variables for training (AUROC; 1-month, 0.75, 1-year, 0.85, lifetime suicide attempts detection, 0.87). Our findings indicate that information from self-report clinical scales can be useful for the classification of suicide attempts. Based on the reliable performance of the top five predictors alone, this machine learning approach could help clinicians identify high-risk patients in clinical settings.

  10. G+ COMMUNITY: MEASURING TEACHERS’ READINESS AND ACCEPTANCE

    Directory of Open Access Journals (Sweden)

    Mohd Faisal Farish Ishak

    2017-08-01

    Full Text Available The purpose of this paper is to explore teachers’ acceptance and readiness in using the cloud-based community as a platform for professional collaboration related to their teaching and learning. Familiarity with certain social networking platforms has made the preferable collaboration among teachers only limited to using Facebook, WhatsApp or Telegram. However, with time and space constraints in schools, some of the sharing sessions could not be done effectively most of the time. The study focuses on teachers’ acceptance and readiness of having their community in the cloud when they were introduced to the platform during a Continuous Professional Development (CPD course. A total number of 61 teachers used Google Community named as ‘Contemporary Children’s Literature (CCL 2016’ as a platform for their Professional Learning Community (PLC during the course. Descriptive analysis was done using Google Sheets and the findings show that these teachers are receptive towards Google Community in terms of its engagement level, usefulness as well as ease of use. The introduction to Google Community has created a new pathway for their collaboration especially for teaching and learning purposes. In a nutshell, their acceptance towards the cloud-based community indicates that, given the right training channel, teachers are positive and opened to utilising and integrating the cloud-based technology in their current teaching practice.

  11. Ready to sell our program. Anybody who is interested in learning Indonesian experience is invited to take part in the BKKBN's international training program.

    Science.gov (United States)

    Suyono, H

    1996-01-01

    The Indonesian Family Planning Program was officially launched in 1970 when President Suharto developed the National Family Planning Coordinating Board (BKKBN) to administrate the national family planning program. The inauguration of the family planning program came at the heels of a special demand by the people with very strong support of the ulama. The program was subsequently developed and expanded into remote areas in 1976. In 1992, a family-based approach to family planning was implemented in which every village family was made responsible for family planning. The program is based upon a very strong political commitment at the highest level as well as at the provincial, district, subdistrict, and village levels; it continuously innovates; every community can name its family planning program as it likes; and there is constant feedback to the community. Indonesia's family planning program strategies are as follows: it is suggested that couples in which the wife is aged 20-30 years have only two children; it is recommended that women over age 30 have no more children due to the comparatively high risks of pregnancy at that age; considerable effort is given to encourage youths to not become pregnant and bear children; numerous chairmen of small community family planning groups are appointed; and social and cultural conditions have been created in which people work for family planning activities. People interested in learning from the Indonesian experience in family planning may participate in the BKKBN's international training program.

  12. Process operational readiness and operational readiness follow-on

    International Nuclear Information System (INIS)

    Nertney, R.J.

    1992-11-01

    The first document in the System Safety Development Center (SSDC) series deals with the subject of Occupancy-Use Readiness. The material included in that manual provided the basis for development of the SSDC workshop in Operational Readiness. The original Occupancy Readiness Manual, however, deals only generally with the subject of process safety; i.e., the safety of overall ''processes'' such as solar collection systems, nuclear reactors, and coal fired electrical plants. The manual also fails to detail the considerations involved in maintaining the state of readiness on a continuing basis. Both of the latter subjects are dealt with in some detail in the SSDC's Operational Readiness Workshop. The purpose of this document is to provide additional documentary material dealing with subjects introduced in SSDC-1 Occupancy-Use Readiness Manual, and SSDC-12, Safety Considerations in Evaluation of Maintenance Programs. In augmenting SSDC-1, Part I of this manual provides additional material related to process safety; in the case of SSDC-12, the subject of safety considerations in evaluation of maintenance programs is broadened in Part II to include maintenance of personnel systems and procedural systems as well as hardware. ''Maintenance'' is related more directly to the concept of operational readiness and an alternative analytical tree is provided for hardware maintenance program evaluation

  13. Consumers and Makers: Exploring Opposing Paradigms of Millennial College Readiness

    Science.gov (United States)

    Jackson, Matthew

    2017-01-01

    The political and technological circumstances of the past two decades have culminated in opposing epistemic paradigms of college readiness, where millennial students' conceptual understanding of "learning" is both narrowed to meet the demands of school systems bound to accountability and amplified by a rapidly evolving digital world. The…

  14. From Innovation to Impact at Scale: Lessons Learned from a Cluster of Research-Community Partnerships

    Science.gov (United States)

    Schindler, Holly S.; Fisher, Philip A.; Shonkoff, Jack P.

    2017-01-01

    This paper presents a description of how an interdisciplinary network of academic researchers, community-based programs, parents, and state agencies have joined together to design, test, and scale a suite of innovative intervention strategies rooted in new knowledge about the biology of adversity. Through a process of co-creation, collective pilot-testing, and the support of a measurement and evaluation hub, the Washington State Innovation Cluster is using rapid cycle, iterative learning to elucidate differential impacts of interventions designed to build child and caregiver capacities and address the developmental consequences of socioeconomic disadvantage. Key characteristics of the Innovation Cluster model are described and an example is presented of a video-coaching intervention that has been implemented, adapted, and evaluated through this distinctive, collaborative process. PMID:28777436

  15. Gene prediction in metagenomic fragments: A large scale machine learning approach

    Directory of Open Access Journals (Sweden)

    Morgenstern Burkhard

    2008-04-01

    Full Text Available Abstract Background Metagenomics is an approach to the characterization of microbial genomes via the direct isolation of genomic sequences from the environment without prior cultivation. The amount of metagenomic sequence data is growing fast while computational methods for metagenome analysis are still in their infancy. In contrast to genomic sequences of single species, which can usually be assembled and analyzed by many available methods, a large proportion of metagenome data remains as unassembled anonymous sequencing reads. One of the aims of all metagenomic sequencing projects is the identification of novel genes. Short length, for example, Sanger sequencing yields on average 700 bp fragments, and unknown phylogenetic origin of most fragments require approaches to gene prediction that are different from the currently available methods for genomes of single species. In particular, the large size of metagenomic samples requires fast and accurate methods with small numbers of false positive predictions. Results We introduce a novel gene prediction algorithm for metagenomic fragments based on a two-stage machine learning approach. In the first stage, we use linear discriminants for monocodon usage, dicodon usage and translation initiation sites to extract features from DNA sequences. In the second stage, an artificial neural network combines these features with open reading frame length and fragment GC-content to compute the probability that this open reading frame encodes a protein. This probability is used for the classification and scoring of gene candidates. With large scale training, our method provides fast single fragment predictions with good sensitivity and specificity on artificially fragmented genomic DNA. Additionally, this method is able to predict translation initiation sites accurately and distinguishes complete from incomplete genes with high reliability. Conclusion Large scale machine learning methods are well-suited for gene

  16. Translating the Science of Measuring Ecosystems at a National Scale: NEON's Online Learning Portal

    Science.gov (United States)

    Wasser, L. A.

    2015-12-01

    "Big Data" are becoming increasingly common in many fields. The National Ecological Observatory Network (NEON) will collect data over the 30 years, using consistent, standardized methods across the United States. These freely available new data provide an opportunity for increased understanding of continental- and global scale processes such as changes in vegetation structure and condition, biodiversity and landuse. However, while "big data" are becoming more accessible and available, working with big data is challenging. New and potentially unfamiliar data types and associated processing methods, required to work with a growing diversity of available data take time and resources to learn. Analysis of these big datasets may further present a challenge given large file sizes, and uncertainty regarding best methods to properly statistically summarize and analyze results. Finally, resources that support learning these concepts and approaches, are distributed widely across multiple online spaces and may take time to find. This presentation will overview the development of NEON's collaborative University-focused online education portal. It will also cover content testing, community feedback and results from workshops using online content. Portal content is hosted in github to facilitate community input, accessibility version control. Content includes 1) videos and supporting graphics that explain key concepts related to NEON and related big spatio-temporal and 2) data tutorials that include subsets of spatio-temporal data that can be used to learn key big data skills in a self-paced approach, or that can be used as a teaching tool in the classroom or in a workshop. All resources utilize free and open data processing, visualization and analysis tools, techniques and scripts. All NEON materials are being developed in collaboration with the scientific community and are being tested via in-person workshops. Visit the portal online: www.neondataskills.org.

  17. A SCALE-UP Mock-Up: Comparison of Student Learning Gains in High- and Low-Tech Active-Learning Environments.

    Science.gov (United States)

    Soneral, Paula A G; Wyse, Sara A

    2017-01-01

    Student-centered learning environments with upside-down pedagogies (SCALE-UP) are widely implemented at institutions across the country, and learning gains from these classrooms have been well documented. This study investigates the specific design feature(s) of the SCALE-UP classroom most conducive to teaching and learning. Using pilot survey data from instructors and students to prioritize the most salient SCALE-UP classroom features, we created a low-tech "Mock-up" version of this classroom and tested the impact of these features on student learning, attitudes, and satisfaction using a quasi--experimental setup. The same instructor taught two sections of an introductory biology course in the SCALE-UP and Mock-up rooms. Although students in both sections were equivalent in terms of gender, grade point average, incoming ACT, and drop/fail/withdraw rate, the Mock-up classroom enrolled significantly more freshmen. Controlling for class standing, multiple regression modeling revealed no significant differences in exam, in-class, preclass, and Introduction to Molecular and Cellular Biology Concept Inventory scores between the SCALE-UP and Mock-up classrooms. Thematic analysis of student comments highlighted that collaboration and whiteboards enhanced the learning experience, but technology was not important. Student satisfaction and attitudes were comparable. These results suggest that the benefits of a SCALE-UP experience can be achieved at lower cost without technology features. © 2017 P. A. G. Soneral and S. A. Wyse. CBE—Life Sciences Education © 2017 The American Society for Cell Biology. This article is distributed by The American Society for Cell Biology under license from the author(s). It is available to the public under an Attribution–Noncommercial–Share Alike 3.0 Unported Creative Commons License (http://creativecommons.org/licenses/by-nc-sa/3.0).

  18. Working memory training mostly engages general-purpose large-scale networks for learning.

    Science.gov (United States)

    Salmi, Juha; Nyberg, Lars; Laine, Matti

    2018-03-21

    The present meta-analytic study examined brain activation changes following working memory (WM) training, a form of cognitive training that has attracted considerable interest. Comparisons with perceptual-motor (PM) learning revealed that WM training engages domain-general large-scale networks for learning encompassing the dorsal attention and salience networks, sensory areas, and striatum. Also the dynamics of the training-induced brain activation changes within these networks showed a high overlap between WM and PM training. The distinguishing feature for WM training was the consistent modulation of the dorso- and ventrolateral prefrontal cortex (DLPFC/VLPFC) activity. The strongest candidate for mediating transfer to similar untrained WM tasks was the frontostriatal system, showing higher striatal and VLPFC activations, and lower DLPFC activations after training. Modulation of transfer-related areas occurred mostly with longer training periods. Overall, our findings place WM training effects into a general perception-action cycle, where some modulations may depend on the specific cognitive demands of a training task. Copyright © 2018 Elsevier Ltd. All rights reserved.

  19. Interprofessional Education and Team-Based Learning in a Research Methods Course.

    Science.gov (United States)

    Schug, Vicki; Finch-Guthrie, Patricia; Benz, Janet

    2017-12-18

    This article describes team-based pedagogical strategies for a hybrid, four-credit research methods course with students from nursing, exercise, and nutrition science. The research problem of concussion in football, a socially relevant and controversial topic, was used to explore interprofessional perspectives and develop shared problem solving. The course was designed using permanent teams, readiness assurance, application exercises, and peer evaluation to facilitate student achievement of competencies related to interprofessional collaboration and research application. Feedback from students, faculty, and the Readiness for Interprofessional Learning Scale was used to evaluate the learning innovation.

  20. When practice precedes theory - A mixed methods evaluation of students' learning experiences in an undergraduate study program in nursing.

    Science.gov (United States)

    Falk, Kristin; Falk, Hanna; Jakobsson Ung, Eva

    2016-01-01

    A key area for consideration is determining how optimal conditions for learning can be created. Higher education in nursing aims to prepare students to develop their capabilities to become independent professionals. The aim of this study was to evaluate the effects of sequencing clinical practice prior to theoretical studies on student's experiences of self-directed learning readiness and students' approach to learning in the second year of a three-year undergraduate study program in nursing. 123 nursing students was included in the study and divided in two groups. In group A (n = 60) clinical practice preceded theoretical studies. In group (n = 63) theoretical studies preceded clinical practice. Learning readiness was measured using the Directed Learning Readiness Scale for Nursing Education (SDLRSNE), and learning process was measured using the revised two-factor version of the Study Process Questionnaire (R-SPQ-2F). Students were also asked to write down their personal reflections throughout the course. By using a mixed method design, the qualitative component focused on the students' personal experiences in relation to the sequencing of theoretical studies and clinical practice. The quantitative component provided information about learning readiness before and after the intervention. Our findings confirm that students are sensitive and adaptable to their learning contexts, and that the sequencing of courses is subordinate to a pedagogical style enhancing students' deep learning approaches, which needs to be incorporated in the development of undergraduate nursing programs. Copyright © 2015 Elsevier Ltd. All rights reserved.

  1. Coordinated learning of grid cell and place cell spatial and temporal properties: multiple scales, attention and oscillations.

    Science.gov (United States)

    Grossberg, Stephen; Pilly, Praveen K

    2014-02-05

    A neural model proposes how entorhinal grid cells and hippocampal place cells may develop as spatial categories in a hierarchy of self-organizing maps (SOMs). The model responds to realistic rat navigational trajectories by learning both grid cells with hexagonal grid firing fields of multiple spatial scales, and place cells with one or more firing fields, that match neurophysiological data about their development in juvenile rats. Both grid and place cells can develop by detecting, learning and remembering the most frequent and energetic co-occurrences of their inputs. The model's parsimonious properties include: similar ring attractor mechanisms process linear and angular path integration inputs that drive map learning; the same SOM mechanisms can learn grid cell and place cell receptive fields; and the learning of the dorsoventral organization of multiple spatial scale modules through medial entorhinal cortex to hippocampus (HC) may use mechanisms homologous to those for temporal learning through lateral entorhinal cortex to HC ('neural relativity'). The model clarifies how top-down HC-to-entorhinal attentional mechanisms may stabilize map learning, simulates how hippocampal inactivation may disrupt grid cells, and explains data about theta, beta and gamma oscillations. The article also compares the three main types of grid cell models in the light of recent data.

  2. Evaluating students' perception of their clinical placements - testing the clinical learning environment and supervision and nurse teacher scale (CLES + T scale) in Germany.

    Science.gov (United States)

    Bergjan, Manuela; Hertel, Frank

    2013-11-01

    Clinical nursing education in Germany has not received attention in nursing science and practice for a long time, as it often seems to be a more or less "formalized appendix" of nursing education. Several development projects of clinical education taking place are mainly focused on the qualification of clinical preceptors. However, the clinical context and its influence on learning processes have still not been sufficiently investigated. The aim of this study was the testing of a German version of the clinical learning environment and supervision and nurse teacher scale (CLES + T scale). The sample of the pilot study consists of first-, second- and third-year student nurses (n=240) of a university nursing school from January to March 2011. Psychometric testing of the instrument is carried out by selected methods of classical testing theories using SPPS 19. The results show transferability of all subcategories of the CLES + T scale in the non-academic nursing education system of a university hospital in Germany, without the teacher scale. The strongest factor is "supervisory relationship". The German version of the CLES + T scale may help to evaluate and compare traditional and new models in clinical nursing education. Copyright © 2012 Elsevier Ltd. All rights reserved.

  3. The Self-Rating Scale of Self-Directed Learning (SRSSDL): a factor analysis of the Italian version.

    Science.gov (United States)

    Cadorin, Lucia; Bortoluzzi, Guido; Palese, Alvisa

    2013-12-01

    The development of self-directed learning (SDL) is a growing priority among nurses and other health care workers: they need to be prepared in order for their university education to be effective and relevant to their lifelong learning. To learn in a self-directed manner, it is necessary to develop an awareness of one's ability to self-learn and then to implement appropriate and effective strategies; progress must be assessed using validated measurement tools. The aim of this study was to examine the factor structure of the Italian version of the Self-Rating Scale of Self-directed Learning (SRSSDL(Ita)), and to provide evidence of its validity. A cross-sectional design was undertaken. Given that the instrument is composed of 60 items, a total of 600 to 900 participants were targeted. In addition, according to the theoretical assumption that self-directed learning - as a crucial component of lifelong learning - is a measurable skill that is developed across the individual's professional life, a maximum variation sample was examined. Therefore, 847 participants were involved, including 453 nurses, 141 radiology technicians, 182 nursing students and 68 radiology technician students. Principal component analysis and factor analysis were performed. The Italian version of the SRSSDL Scale consists of 40 items composed of eight factors: Awareness (α=0.805), Attitudes (α=0.778), Motivation (α=0.789), Learning Strategies (α=0.789), Learning Methods (α=0.781), Learning Activities (α=0.676), Interpersonal Skills (α=0.684), and Constructing Knowledge (α=0.732). The SRSSDLIta consists of 40 items across eight factors. The shorter Italian version might reduce the time needed to complete, thereby making the tool faster and easier to use. Copyright © 2013 Elsevier Ltd. All rights reserved.

  4. Automatic detection of ischemic stroke based on scaling exponent electroencephalogram using extreme learning machine

    Science.gov (United States)

    Adhi, H. A.; Wijaya, S. K.; Prawito; Badri, C.; Rezal, M.

    2017-03-01

    Stroke is one of cerebrovascular diseases caused by the obstruction of blood flow to the brain. Stroke becomes the leading cause of death in Indonesia and the second in the world. Stroke also causes of the disability. Ischemic stroke accounts for most of all stroke cases. Obstruction of blood flow can cause tissue damage which results the electrical changes in the brain that can be observed through the electroencephalogram (EEG). In this study, we presented the results of automatic detection of ischemic stroke and normal subjects based on the scaling exponent EEG obtained through detrended fluctuation analysis (DFA) using extreme learning machine (ELM) as the classifier. The signal processing was performed with 18 channels of EEG in the range of 0-30 Hz. Scaling exponents of the subjects were used as the input for ELM to classify the ischemic stroke. The performance of detection was observed by the value of accuracy, sensitivity and specificity. The result showed, performance of the proposed method to classify the ischemic stroke was 84 % for accuracy, 82 % for sensitivity and 87 % for specificity with 120 hidden neurons and sine as the activation function of ELM.

  5. Scaling deep learning workloads: NVIDIA DGX-1/Pascal and Intel Knights Landing

    Energy Technology Data Exchange (ETDEWEB)

    Gawande, Nitin A.; Landwehr, Joshua B.; Daily, Jeffrey A.; Tallent, Nathan R.; Vishnu, Abhinav; Kerbyson, Darren J.

    2017-08-24

    Deep Learning (DL) algorithms have become ubiquitous in data analytics. As a result, major computing vendors --- including NVIDIA, Intel, AMD, and IBM --- have architectural road-maps influenced by DL workloads. Furthermore, several vendors have recently advertised new computing products as accelerating large DL workloads. Unfortunately, it is difficult for data scientists to quantify the potential of these different products. This paper provides a performance and power analysis of important DL workloads on two major parallel architectures: NVIDIA DGX-1 (eight Pascal P100 GPUs interconnected with NVLink) and Intel Knights Landing (KNL) CPUs interconnected with Intel Omni-Path or Cray Aries. Our evaluation consists of a cross section of convolutional neural net workloads: CifarNet, AlexNet, GoogLeNet, and ResNet50 topologies using the Cifar10 and ImageNet datasets. The workloads are vendor-optimized for each architecture. Our analysis indicates that although GPUs provide the highest overall performance, the gap can close for some convolutional networks; and the KNL can be competitive in performance/watt. We find that NVLink facilitates scaling efficiency on GPUs. However, its importance is heavily dependent on neural network architecture. Furthermore, for weak-scaling --- sometimes encouraged by restricted GPU memory --- NVLink is less important.

  6. Learning about the scale of the solar system using digital planetarium visualizations

    Science.gov (United States)

    Yu, Ka Chun; Sahami, Kamran; Dove, James

    2017-07-01

    We studied the use of a digital planetarium for teaching relative distances and sizes in introductory undergraduate astronomy classes. Inspired in part by the classic short film The Powers of Ten and large physical scale models of the Solar System that can be explored on foot, we created lectures using virtual versions of these two pedagogical approaches for classes that saw either an immersive treatment in the planetarium or a non-immersive version in the regular classroom (with N = 973 students participating in total). Students who visited the planetarium had not only the greatest learning gains, but their performance increased with time, whereas students who saw the same visuals projected onto a flat display in their classroom showed less retention over time. The gains seen in the students who visited the planetarium reveal that this medium is a powerful tool for visualizing scale over multiple orders of magnitude. However the modest gains for the students in the regular classroom also show the utility of these visualization approaches for the broader category of classroom physics simulations.

  7. Elementary student self efficacy scale development and validation focused on student learning, peer relations, and resisting drug use.

    Science.gov (United States)

    Fertman, Carl I; Primack, Brian A

    2009-01-01

    The purpose of this study was to investigate the psychometric properties of a child self efficacy scale for learning, peer interactions, and resisting pressure to use drugs, to use in an elementary school drug prevention education program based on social cognitive theory. A diverse cohort of 392 4th and 5th grade students completed the 20-item self efficacy scale and social support and social skills instruments. The results provide evidence for a valid and reliable 3-factor self efficacy scale. Subscale internal consistency reliability was good to excellent (Cronbach's alpha = 0.75, 0.83, 0.91). Construct validity was supported by correlations between each subscale and social skills, social support, and demographic data. The scale has potential as a tool to measure self efficacy in children related to learning, peer interactions, and resisting peer pressure to use drugs and to help shape drug education programs.

  8. [Validity and Reliability of the Korean Version Scale of the Clinical Learning Environment, Supervision and Nurse Teacher Evaluation Scale (CLES+T)].

    Science.gov (United States)

    Kim, Sun Hee; Yoo, So Yeon; Kim, Yae Young

    2018-02-01

    This study was conducted to evaluate the validity and reliability of the Korean version of the clinical learning environment, supervision and nurse teacher evaluation scale (CLES+T) that measures the clinical learning environment and the conditions associated with supervision and nurse teachers. The English CLES+T was translated into Korean with forward and back translation. Survey data were collected from 434 nursing students who had more than four days of clinical practice in Korean hospitals. Internal consistency reliability and construct validity using confirmatory and exploratory factor analysis were conducted. SPSS 20.0 and AMOS 22.0 programs were used for data analysis. The exploratory factor analysis revealed seven factors for the thirty three-item scale. Confirmatory factor analysis supported good convergent and discriminant validities. The Cronbach's alpha for the overall scale was .94 and for the seven subscales ranged from .78 to .94. The findings suggest that the 33-items Korean CLES+T is an appropriate instrument to measure Korean nursing students'clinical learning environment with good validity and reliability. © 2018 Korean Society of Nursing Science.

  9. An industrial perspective on bioreactor scale-down: what we can learn from combined large-scale bioprocess and model fluid studies.

    Science.gov (United States)

    Noorman, Henk

    2011-08-01

    For industrial bioreactor design, operation, control and optimization, the scale-down approach is often advocated to efficiently generate data on a small scale, and effectively apply suggested improvements to the industrial scale. In all cases it is important to ensure that the scale-down conditions are representative of the real large-scale bioprocess. Progress is hampered by limited detailed and local information from large-scale bioprocesses. Complementary to real fermentation studies, physical aspects of model fluids such as air-water in large bioreactors provide useful information with limited effort and cost. Still, in industrial practice, investments of time, capital and resources often prohibit systematic work, although, in the end, savings obtained in this way are trivial compared to the expenses that result from real process disturbances, batch failures, and non-flyers with loss of business opportunity. Here we try to highlight what can be learned from real large-scale bioprocess in combination with model fluid studies, and to provide suitable computation tools to overcome data restrictions. Focus is on a specific well-documented case for a 30-m(3) bioreactor. Areas for further research from an industrial perspective are also indicated. Copyright © 2011 WILEY-VCH Verlag GmbH & Co. KGaA, Weinheim.

  10. LHCf: ready to go

    CERN Multimedia

    CERN Bulletin

    2015-01-01

    Reinstalled in the tunnel at the end of 2014, the two detectors of the LHCf experiment are now ready for operation. The first data should be taken in May.   LHCf’s Arm1 detector. The Large Hadron Collider forward (LHCf) experiment measures neutral particles emitted at nearly zero degrees from the proton beam direction. Because these "very forward" particles carry a large fraction of the collision energy, they are important for understanding the development of atmospheric air-shower phenomena produced by high-energy cosmic rays. To measure these particles, two detectors, Arm1 and Arm2, sit along the LHC beamline, at 140 metres either side of the ATLAS collision point. In July 2010, after a 9-month operation, the LHCf collaboration removed the two detectors from the tunnel to avoid severe radiation damage. The Arm2 detector was reinstalled in the tunnel for data-taking with proton–lead collisions in 2013, while Arm1 was being upgraded to be a radiation-ha...

  11. Change readiness research

    DEFF Research Database (Denmark)

    Høstgaard, Anna Marie Balling

    2006-01-01

    the ”Basic Structure for The Electronic Health Record” (B-EHR) using prototypes. http://medinfo.dk/epj/proj/gepka/). In the Gepka project the participation varied from 33.3% to 78.9%. The objective of this study is to set out themes by which this variation can be studied. A qualitative explorative research...... of participation – it is to suggest a qualitative relationship between the two. Neither does this study try to generalize the results, as further research on more wards would be needed to do so. This study does, however, set out themes that can be a useful tool in future CRR projects in order to maximize......The Change readiness research method (CRR) has become a wellknown method in Denmark to identify issues needed to be discussed on a hospital ward before implementation of a new IT-system and to start a dialogue. A precondition for a constructive dialogue, however, is a high degree of participation...

  12. Smoke Ready Toolbox for Wildfires

    Science.gov (United States)

    This site provides an online Smoke Ready Toolbox for Wildfires, which lists resources and tools that provide information on health impacts from smoke exposure, current fire conditions and forecasts and strategies to reduce exposure to smoke.

  13. Checklist for clinical readiness published

    Science.gov (United States)

    Scientists from NCI, together with collaborators from outside academic centers, have developed a checklist of criteria to evaluate the readiness of complex molecular tests that will guide decisions made during clinical trials. The checklist focuses on tes

  14. Science Curiosity in Learning Environments: Developing an Attitudinal Scale for Research in Schools, Homes, Museums, and the Community

    Science.gov (United States)

    Weible, Jennifer L.; Zimmerman, Heather Toomey

    2016-01-01

    Although curiosity is considered an integral aspect of science learning, researchers have debated how to define, measure, and support its development in individuals. Prior measures of curiosity include questionnaire type scales (primarily for adults) and behavioral measures. To address the need to measure scientific curiosity, the Science…

  15. A Cross-Cultural Validation of the Learning-Related Boredom Scale (LRBS) with Canadian and Chinese College Students

    Science.gov (United States)

    Tze, Virginia M. C.; Klassen, Robert M.; Daniels, Lia M.; Li, Johnson C.-H.; Zhang, Xiao

    2013-01-01

    This study evaluated the psychometric properties of the Learning-Related Boredom Scale (LRBS) from the Academic Emotions Questionnaire (AEQ; Pekrun, Goetz, & Perry, 2005; Pekrun, Goetz, Titz, & Perry, 2002) in a sample of 405 university students from Canada and China. Multigroup confirmatory factor analysis was used to test the factor…

  16. DL-sQUAL: A Multiple-Item Scale for Measuring Service Quality of Online Distance Learning Programs

    Science.gov (United States)

    Shaik, Naj; Lowe, Sue; Pinegar, Kem

    2006-01-01

    Education is a service with multiplicity of student interactions over time and across multiple touch points. Quality teaching needs to be supplemented by consistent quality supporting services for programs to succeed under the competitive distance learning landscape. ServQual and e-SQ scales have been proposed for measuring quality of traditional…

  17. An Operational Definition of Learning Disabilities (Cognitive Domain) Using WISC Full Scale IQ and Peabody Individual Achievement Test Scores.

    Science.gov (United States)

    Brenton, Beatrice White; Gilmore, Doug

    An operational index of discrepancy between ability and achievement using the Wechsler Intelligence Scale for Children and the Peabody Individual Achievement Test (PIAT) was tested with 50 male and 10 female legally identified learning disabled (LD) children (mean age 9 years 2 months). Use of the index identified 74% of the males and 30% of the…

  18. A Fast SVD-Hidden-nodes based Extreme Learning Machine for Large-Scale Data Analytics.

    Science.gov (United States)

    Deng, Wan-Yu; Bai, Zuo; Huang, Guang-Bin; Zheng, Qing-Hua

    2016-05-01

    Big dimensional data is a growing trend that is emerging in many real world contexts, extending from web mining, gene expression analysis, protein-protein interaction to high-frequency financial data. Nowadays, there is a growing consensus that the increasing dimensionality poses impeding effects on the performances of classifiers, which is termed as the "peaking phenomenon" in the field of machine intelligence. To address the issue, dimensionality reduction is commonly employed as a preprocessing step on the Big dimensional data before building the classifiers. In this paper, we propose an Extreme Learning Machine (ELM) approach for large-scale data analytic. In contrast to existing approaches, we embed hidden nodes that are designed using singular value decomposition (SVD) into the classical ELM. These SVD nodes in the hidden layer are shown to capture the underlying characteristics of the Big dimensional data well, exhibiting excellent generalization performances. The drawback of using SVD on the entire dataset, however, is the high computational complexity involved. To address this, a fast divide and conquer approximation scheme is introduced to maintain computational tractability on high volume data. The resultant algorithm proposed is labeled here as Fast Singular Value Decomposition-Hidden-nodes based Extreme Learning Machine or FSVD-H-ELM in short. In FSVD-H-ELM, instead of identifying the SVD hidden nodes directly from the entire dataset, SVD hidden nodes are derived from multiple random subsets of data sampled from the original dataset. Comprehensive experiments and comparisons are conducted to assess the FSVD-H-ELM against other state-of-the-art algorithms. The results obtained demonstrated the superior generalization performance and efficiency of the FSVD-H-ELM. Copyright © 2016 Elsevier Ltd. All rights reserved.

  19. Improving Learning in a Traditional, Large-Scale Science Module with a Simple and Efficient Learning Design

    DEFF Research Database (Denmark)

    Godsk, Mikkel

    2014-01-01

    the impact on teaching and learning in terms of how the teacher and the students used the materials and the impact on the students’ performance and satisfaction. The article concludes that replacing face-to-face lectures with webcasts and online activities has the potential to improve learning in terms...... of a better student performance, higher student satisfaction, and a higher degree of flexibility for the students. In addition, the article discusses implications of using learning design for educational development, how learning design may help breaking with the perception that facilitating blended learning...... is a daunting process, and, ultimately, its potential for addressing some of the grand challenges in science education and the political agenda of today....

  20. Nonverbal cognitive development in children with cochlear implants: relationship between the Mullen Scales of Early Learning and later performance on the Leiter International Performance Scales-Revised.

    Science.gov (United States)

    Caudle, Susan E; Katzenstein, Jennifer M; Oghalai, John S; Lin, Jerry; Caudle, Donald D

    2014-02-01

    Methodologically, longitudinal assessment of cognitive development in young children has proven difficult because few measures span infancy through school age. This matter is further complicated when the child presents with a sensory deficit such as hearing loss. Few measures are validated in this population, and children who are evaluated for cochlear implantation are often reevaluated annually. The authors sought to evaluate the predictive validity of subscales of the Mullen Scales of Early Learning (MSEL) on Leiter International Performance Scales-Revised (LIPS-R) Full-Scale IQ scores. To further elucidate the relationship of these two measures, comparisons were also made with the Vineland Adaptive Behavior Scale-Second Edition (VABS), which provides a measure of adaptive functioning across the life span. Participants included 35 children (14 female, 21 male) who were evaluated both as part of the precandidacy process for cochlear implantation using the MSEL and VABS and following implantation with the LIPS-R and VABS. Hierarchical linear regression revealed that the MSEL Visual Reception subdomain score significantly predicted 52% of the variance in LIPS-R Full-Scale IQ scores at follow-up, F(1, 34) = 35.80, p < .0001, R (2) = .52, β = .72. This result suggests that the Visual Reception subscale offers predictive validity of later LIPS-R Full-Scale IQ scores. The VABS was also significantly correlated with cognitive variables at each time point.

  1. Multi-scale Gaussian representation and outline-learning based cell image segmentation

    Science.gov (United States)

    2013-01-01

    Background High-throughput genome-wide screening to study gene-specific functions, e.g. for drug discovery, demands fast automated image analysis methods to assist in unraveling the full potential of such studies. Image segmentation is typically at the forefront of such analysis as the performance of the subsequent steps, for example, cell classification, cell tracking etc., often relies on the results of segmentation. Methods We present a cell cytoplasm segmentation framework which first separates cell cytoplasm from image background using novel approach of image enhancement and coefficient of variation of multi-scale Gaussian scale-space representation. A novel outline-learning based classification method is developed using regularized logistic regression with embedded feature selection which classifies image pixels as outline/non-outline to give cytoplasm outlines. Refinement of the detected outlines to separate cells from each other is performed in a post-processing step where the nuclei segmentation is used as contextual information. Results and conclusions We evaluate the proposed segmentation methodology using two challenging test cases, presenting images with completely different characteristics, with cells of varying size, shape, texture and degrees of overlap. The feature selection and classification framework for outline detection produces very simple sparse models which use only a small subset of the large, generic feature set, that is, only 7 and 5 features for the two cases. Quantitative comparison of the results for the two test cases against state-of-the-art methods show that our methodology outperforms them with an increase of 4-9% in segmentation accuracy with maximum accuracy of 93%. Finally, the results obtained for diverse datasets demonstrate that our framework not only produces accurate segmentation but also generalizes well to different segmentation tasks. PMID:24267488

  2. Get Ready To Fly.

    Science.gov (United States)

    Janes, Patricia

    2001-01-01

    Presents suggestions to help students learn about the concept of flight. Ideas include making a classroom timeline of flight, creating balloon rockets to demonstrate the concept of thrust, making tissue paper parachutes and observing the effect of drag, designing a space mission patch, and having a model paper airplane competition. (SM)

  3. "Ready, Set, FLOW!"

    Science.gov (United States)

    Stroud, Wesley

    2018-01-01

    All educators want their classrooms to be inviting areas that support investigations. However, a common mistake is to fill learning spaces with items or objects that are set up by the teacher or are simply "for show." This type of setting, although it may create a comfortable space for students, fails to stimulate investigations and…

  4. The Large Scale Machine Learning in an Artificial Society: Prediction of the Ebola Outbreak in Beijing

    Directory of Open Access Journals (Sweden)

    Peng Zhang

    2015-01-01

    Full Text Available Ebola virus disease (EVD distinguishes its feature as high infectivity and mortality. Thus, it is urgent for governments to draw up emergency plans against Ebola. However, it is hard to predict the possible epidemic situations in practice. Luckily, in recent years, computational experiments based on artificial society appeared, providing a new approach to study the propagation of EVD and analyze the corresponding interventions. Therefore, the rationality of artificial society is the key to the accuracy and reliability of experiment results. Individuals’ behaviors along with travel mode directly affect the propagation among individuals. Firstly, artificial Beijing is reconstructed based on geodemographics and machine learning is involved to optimize individuals’ behaviors. Meanwhile, Ebola course model and propagation model are built, according to the parameters in West Africa. Subsequently, propagation mechanism of EVD is analyzed, epidemic scenario is predicted, and corresponding interventions are presented. Finally, by simulating the emergency responses of Chinese government, the conclusion is finally drawn that Ebola is impossible to outbreak in large scale in the city of Beijing.

  5. Scaling up spike-and-slab models for unsupervised feature learning.

    Science.gov (United States)

    Goodfellow, Ian J; Courville, Aaron; Bengio, Yoshua

    2013-08-01

    We describe the use of two spike-and-slab models for modeling real-valued data, with an emphasis on their applications to object recognition. The first model, which we call spike-and-slab sparse coding (S3C), is a preexisting model for which we introduce a faster approximate inference algorithm. We introduce a deep variant of S3C, which we call the partially directed deep Boltzmann machine (PD-DBM) and extend our S3C inference algorithm for use on this model. We describe learning procedures for each. We demonstrate that our inference procedure for S3C enables scaling the model to unprecedented large problem sizes, and demonstrate that using S3C as a feature extractor results in very good object recognition performance, particularly when the number of labeled examples is low. We show that the PD-DBM generates better samples than its shallow counterpart, and that unlike DBMs or DBNs, the PD-DBM may be trained successfully without greedy layerwise training.

  6. Subgrid-scale scalar flux modelling based on optimal estimation theory and machine-learning procedures

    Science.gov (United States)

    Vollant, A.; Balarac, G.; Corre, C.

    2017-09-01

    New procedures are explored for the development of models in the context of large eddy simulation (LES) of a passive scalar. They rely on the combination of the optimal estimator theory with machine-learning algorithms. The concept of optimal estimator allows to identify the most accurate set of parameters to be used when deriving a model. The model itself can then be defined by training an artificial neural network (ANN) on a database derived from the filtering of direct numerical simulation (DNS) results. This procedure leads to a subgrid scale model displaying good structural performance, which allows to perform LESs very close to the filtered DNS results. However, this first procedure does not control the functional performance so that the model can fail when the flow configuration differs from the training database. Another procedure is then proposed, where the model functional form is imposed and the ANN used only to define the model coefficients. The training step is a bi-objective optimisation in order to control both structural and functional performances. The model derived from this second procedure proves to be more robust. It also provides stable LESs for a turbulent plane jet flow configuration very far from the training database but over-estimates the mixing process in that case.

  7. Scaling Deep Learning Workloads: NVIDIA DGX-1/Pascal and Intel Knights Landing

    Energy Technology Data Exchange (ETDEWEB)

    Gawande, Nitin A.; Landwehr, Joshua B.; Daily, Jeffrey A.; Tallent, Nathan R.; Vishnu, Abhinav; Kerbyson, Darren J.

    2017-07-03

    Deep Learning (DL) algorithms have become ubiquitous in data analytics. As a result, major computing vendors --- including NVIDIA, Intel, AMD and IBM --- have architectural road-maps influenced by DL workloads. Furthermore, several vendors have recently advertised new computing products as accelerating DL workloads. Unfortunately, it is difficult for data scientists to quantify the potential of these different products. This paper provides a performance and power analysis of important DL workloads on two major parallel architectures: NVIDIA DGX-1 (eight Pascal P100 GPUs interconnected with NVLink) and Intel Knights Landing (KNL) CPUs interconnected with Intel Omni-Path. Our evaluation consists of a cross section of convolutional neural net workloads: CifarNet, CaffeNet, AlexNet and GoogleNet topologies using the Cifar10 and ImageNet datasets. The workloads are vendor optimized for each architecture. GPUs provide the highest overall raw performance. Our analysis indicates that although GPUs provide the highest overall performance, the gap can close for some convolutional networks; and KNL can be competitive when considering performance/watt. Furthermore, NVLink is critical to GPU scaling.

  8. Large-Scale Science Observatories: Building on What We Have Learned from USArray

    Science.gov (United States)

    Woodward, R.; Busby, R.; Detrick, R. S.; Frassetto, A.

    2015-12-01

    With the NSF-sponsored EarthScope USArray observatory, the Earth science community has built the operational capability and experience to tackle scientific challenges at the largest scales, such as a Subduction Zone Observatory. In the first ten years of USArray, geophysical instruments were deployed across roughly 2% of the Earth's surface. The USArray operated a rolling deployment of seismic stations that occupied ~1,700 sites across the USA, made co-located atmospheric observations, occupied hundreds of sites with magnetotelluric sensors, expanded a backbone reference network of seismic stations, and provided instruments to PI-led teams that deployed thousands of additional seismic stations. USArray included a comprehensive outreach component that directly engaged hundreds of students at over 50 colleges and universities to locate station sites and provided Earth science exposure to roughly 1,000 landowners who hosted stations. The project also included a comprehensive data management capability that received, archived and distributed data, metadata, and data products; data were acquired and distributed in real time. The USArray project was completed on time and under budget and developed a number of best practices that can inform other large-scale science initiatives that the Earth science community is contemplating. Key strategies employed by USArray included: using a survey, rather than hypothesis-driven, mode of observation to generate comprehensive, high quality data on a large-scale for exploration and discovery; making data freely and openly available to any investigator from the very onset of the project; and using proven, commercial, off-the-shelf systems to ensure a fast start and avoid delays due to over-reliance on unproven technology or concepts. Scope was set ambitiously, but managed carefully to avoid overextending. Configuration was controlled to ensure efficient operations while providing consistent, uniform observations. Finally, community

  9. Digital "Learning Trails": Scaling Technology-Facilitated Curricular Innovation in Schools with a "Rhizomatic" Lens

    Science.gov (United States)

    Jamaludin, Azilawati; Hung, David Wei Loong

    2016-01-01

    Technological advances in the form of ubiquitous computing has altered the learning landscape today. Contemporary modes of learning afford curricular innovations in schools. While learning journeys of decades ago entailed field trips to places of interest such as museums and zoos where students completed tasks or worksheets after each trip, the…

  10. Expansion of the wilderness values scale with three sub-scales: Personal maintenance, expression and learning, and societal maintenance

    Science.gov (United States)

    Rudy M. Schuster; Ken Cordell; Gary T. Green

    2007-01-01

    The purpose of this research was to expand the wilderness value scale administered in the 1994 and 2000 versions of the National Survey on Recreation and the Environment using questions included in the 2003 NSRE. A data set of 1,900 cases was randomly split in half. Validity of the additional questions was tested using principal component analysis, a confirmatory...

  11. VALIDATION OF A SCALE OF LEVELS AND CONDITIONS OF ORGANIZATIONAL LEARNING

    Directory of Open Access Journals (Sweden)

    DELIO IGNACIO CASTAÑEDA

    2007-08-01

    Full Text Available Organizational learning has been studied from the perspective of levels of learning: individual, group and organizational,as well as from the needed conditions for learning in order to be produced. An instrument of six dimensions wasvalidated, three of them levels: individual, group and organizational, and three of them conditions: culture oforganizational learning, training and transmission of information. Participants were 845 workers of a public institution.From results support was found for the three levels of learning and for two conditions: culture of organizationallearning and training. Additionally a condition called strategic clarity was identified.

  12. 1:1 (dis)section - Learning through full-scale dissection and transformations of abandoned buildings

    DEFF Research Database (Denmark)

    Krag, Mo Michelsen Stochholm; Keiding, Tina Bering

    2018-01-01

    This paper reports on four transformation workshops. The aim was to provide first-year students with an understanding of the relation between the section as a semantic representation and the materiality, structure and spatial relations of a concrete building. The culmination of each workshop...... was a full-scale dissection and transformation of an abandoned house. As we shall see, the workshops fulfilled not only the intended learning goals, but created an unforeseen and unique context for learning about the relations between building, place and place....

  13. Same but different? Measurement invariance of the PIAAC motivation-to-learn scale across key socio-demographic groups

    Directory of Open Access Journals (Sweden)

    Julia Gorges

    2017-07-01

    Full Text Available Abstract Background Data from the Programme for the International Assessment of Adult Competencies (PIAAC revealed that countries systematically differ in their respondents’ literacy, numeracy, and problem solving in technology-rich environments skills; skill levels also vary by gender, age, level of education or migration background. Similarly, systematic differences have been documented with respect to adults’ participation in education, which can be considered as a means to develop and maintain skills. From a psychological perspective, motivation to learn is considered a key factor associated with both skill development and participation in (further education. In order to account for motivation when analyzing PIAAC data, four items from the PIAAC background questionnaire were recently compiled into a motivation-to-learn scale. This scale has been found to be invariant (i.e., showing full weak and partial strong measurement invariance across 21 countries. Methods This paper presents further analyses using multiple-group graded response models to scrutinize the validity of the motivation-to-learn scale for group comparisons. Results Results indicate at least partial strong measurement invariance across gender, age groups, level of education, and migration background in most countries under study (all CFI > .95, all RMSEA < .08. Thus, the scale is suitable for comparing both means and associations across these groups. Conclusions Results are discussed in light of country characteristics, challenges of measurement invariance testing, and potential future research using PIAAC data.

  14. Development and Pilot Test of the Workplace Readiness Questionnaire, a Theory-Based Instrument to Measure Small Workplaces' Readiness to Implement Wellness Programs.

    Science.gov (United States)

    Hannon, Peggy A; Helfrich, Christian D; Chan, K Gary; Allen, Claire L; Hammerback, Kristen; Kohn, Marlana J; Parrish, Amanda T; Weiner, Bryan J; Harris, Jeffrey R

    2017-01-01

    To develop a theory-based questionnaire to assess readiness for change in small workplaces adopting wellness programs. In developing our scale, we first tested items via "think-aloud" interviews. We tested the revised items in a cross-sectional quantitative telephone survey. The study setting comprised small workplaces (20-250 employees) in low-wage industries. Decision-makers representing small workplaces in King County, Washington (think-aloud interviews, n = 9), and the United States (telephone survey, n = 201) served as study subjects. We generated items for each construct in Weiner's theory of organizational readiness for change. We also measured workplace characteristics and current implementation of workplace wellness programs. We assessed reliability by coefficient alpha for each of the readiness questionnaire subscales. We tested the association of all subscales with employers' current implementation of wellness policies, programs, and communications, and conducted a path analysis to test the associations in the theory of organizational readiness to change. Each of the readiness subscales exhibited acceptable internal reliability (coefficient alpha range, .75-.88) and was positively associated with wellness program implementation ( p < .05). The path analysis was consistent with the theory of organizational readiness to change, except change efficacy did not predict change-related effort. We developed a new questionnaire to assess small workplaces' readiness to adopt and implement evidence-based wellness programs. Our findings also provide empirical validation of Weiner's theory of readiness for change.

  15. Construct Validity evidence for the Intercultural Readiness Check against the Multicultural Personality Questionnaire.

    NARCIS (Netherlands)

    Van der Zee, KI; Brinkmann, U

    The psychometric qualities of the intercultural readiness check (IRC) were evaluated against an existing instrument for multicultural effectiveness: the Multicultural Personality Questionnaire (MPQ). The IRC has scales for intercultural sensitivity, intercultural communication, intercultural

  16. Construct validity evidence for the intercultural readiness check against the multicultural personality questionnaire

    NARCIS (Netherlands)

    Van der Zee, K.I.; Brinkmann, Ursula

    The psychometric qualities of the intercultural readiness check (IRC) were evaluated against an existing instrument for multicultural effectiveness: the Multicultural Personality Questionnaire (MPQ). The IRC has scales for intercultural sensitivity, intercultural communication, intercultural

  17. Magnetic fusion: Environmental Readiness Document

    International Nuclear Information System (INIS)

    1981-03-01

    Environmental Readiness Documents are prepared periodically to review and evaluate the environmental status of an energy technology during the several phases of development of that technology. Through these documents, the Office of Environment within the Department of Energy provides an independent and objective assessment of the environmental risks and potential impacts associated with the progression of the technology to the next stage of development and with future extensive use of the technology. This Environmental Readiness Document was prepared to assist the Department of Energy in evaluating the readiness of magnetic fusion technology with respect to environmental issues. An effort has been made to identify potential environmental problems that may be encountered based upon current knowledge, proposed and possible new environmental regulations, and the uncertainties inherent in planned environmental research

  18. System analysis for technology transfer readiness assessment of horticultural postharvest

    Science.gov (United States)

    Hayuningtyas, M.; Djatna, T.

    2018-04-01

    Availability of postharvest technology is becoming abundant, but only a few technologies are applicable and useful to a wider community purposes. Based on this problem it requires a significant readiness level of transfer technology approach. This system is reliable to access readiness a technology with level, from 1-9 and to minimize time of transfer technology in every level, time required technology from the selection process can be minimum. Problem was solved by using Relief method to determine ranking by weighting feasible criteria on postharvest technology in each level and PERT (Program Evaluation Review Technique) to schedule. The results from ranking process of post-harvest technology in the field of horticulture is able to pass level 7. That, technology can be developed to increase into pilot scale and minimize time required for technological readiness on PERT with optimistic time of 7,9 years. Readiness level 9 shows that technology has been tested on the actual conditions also tied with estimated production price compared to competitors. This system can be used to determine readiness of technology innovation that is derived from agricultural raw materials and passes certain stages.

  19. Effect of Integrating Hydrologic Scaling Concepts on Students Learning and Decision Making Experiences

    Science.gov (United States)

    Najm, Majdi R. Abou; Mohtar, Rabi H.; Cherkauer, Keith A.; French, Brian F.

    2010-01-01

    Proper understanding of scaling and large-scale hydrologic processes is often not explicitly incorporated in the teaching curriculum. This makes it difficult for students to connect the effect of small scale processes and properties (like soil texture and structure, aggregation, shrinkage, and cracking) on large scale hydrologic responses (like…

  20. Operational readiness of EFAD systems

    International Nuclear Information System (INIS)

    Kabat, M.J.

    1992-02-01

    An assessment of the operational readiness of the Emergency Filtered Air Discharge (EFAD) systems, installed in Canadian CANDU multi-unit nuclear power plants, was performed in this project. Relevant Canadian and foreign standards and regulatory requirements have been reviewed and documentation on EFAD system design, operation, testing and maintenance have been assessed to identify likely causes and potential failures of EFAD systems and their components under both standby and accident conditions. Recommendations have also been provided in this report for revisions which are needed to achieve and maintain appropriate operational readiness of EFAD systems

  1. Is your company ready for one-to-one marketing?

    Science.gov (United States)

    Peppers, D; Rogers, M; Dorf, B

    1999-01-01

    One-to-one marketing, also known as relationship marketing, promises to increase the value of your customer base by establishing a learning relationship with each customer. The customer tells you of some need, and you customize your product or service to meet it. Every interaction and modification improves your ability to fit your product to the particular customer. Eventually, even if a competitor offers the same type of service, your customer won't be able to enjoy the same level of convenience without taking the time to teach your competitor the lessons your company has already learned. Although the theory behind one-to-one marketing is simple, implementation is complex. Too many companies have jumped on the one-to-one band-wagon without proper preparation--mistakenly understanding it as an excuse to badger customers with excessive telemarketing and direct mail campaigns. The authors offer practical advice for implementing a one-to-one marketing program correctly. They describe four key steps: identifying your customers, differentiating among them, interacting with them, and customizing your product or service to meet each customer's needs. And they provide activities and exercises, to be administered to employees and customers, that will help you identify your company's readiness to launch a one-to-one initiative. Although some managers dismiss the possibility of one-to-one marketing as an unattainable goal, even a modest program can produce substantial benefits. This tool kit will help you determine what type of program your company can implement now, what you need to do to position your company for a large-scale initiative, and how to set priorities.

  2. Science curiosity in learning environments: developing an attitudinal scale for research in schools, homes, museums, and the community

    Science.gov (United States)

    Weible, Jennifer L.; Toomey Zimmerman, Heather

    2016-05-01

    Although curiosity is considered an integral aspect of science learning, researchers have debated how to define, measure, and support its development in individuals. Prior measures of curiosity include questionnaire type scales (primarily for adults) and behavioral measures. To address the need to measure scientific curiosity, the Science Curiosity in Learning Environments (SCILE) scale was created and validated as a 12-item scale to measure scientific curiosity in youth. The scale was developed through (a) adapting the language of the Curiosity and Exploration Inventory-II [Kashdan, T. B., Gallagher, M. W., Silvia, P. J., Winterstein, B. P., Breen, W. E., Terhar, D., & Steger, M. F. (2009). The curiosity and exploration inventory-II: Development, factor structure, and psychometrics. Journal of Research in Personality, 43(6), 987-998] for youth and (b) crafting new items based on scientific practices drawn from U.S. science standards documents. We administered a preliminary set of 30 items to 663 youth ages 8-18 in the U.S.A. Exploratory and confirmatory factor analysis resulted in a three-factor model: stretching, embracing, and science practices. The findings indicate that the SCILE scale is a valid measure of youth's scientific curiosity for boys and girls as well as elementary, middle school, and high school learners.

  3. It's Not Just the Pedagogy: Challenges in Scaling Mobile Learning Applications into Institution-Wide Learning Technologies

    Science.gov (United States)

    Bird, Peter; Stubbs, Mark

    2015-01-01

    Whilst m-learning pedagogy has received considerable attention (e.g. Sharples et. al. 2007, Kukulska-Hulme, 2012), the process of adopting this potentially disruptive innovation within universities has been neglected. Based on a PhD thesis (Bird, 2014), this paper presents some of the findings from a longitudinal study which examined the adoption…

  4. DISPOSABLE DIAPER IMPACT THE TODDLER’S TOILET TRAINING READINESS

    Directory of Open Access Journals (Sweden)

    Yuni Sufyanti Arief

    2017-07-01

    Full Text Available Introduction : Toilet training is an important developmental milestone in every child’s life. The children who wear cloth diapers than disposable diaper are out of diaper 12 months earlier because they can feel the wetness when they urinate. Kinds of underwear may facilitate the development of toileting skill. The objective of this study was to learn differentiation about toilet training practised between the toddler who ever wear disposable diaper and the toddler who never wear disposable diaper. Method : This study used case control design. Population was consist of 45 toddler in 24-36 month old. The samples were 34 respondents, 21 toddler as 1st group  who ever wear disposable diaper and 13 toddler as 2nd group who never one, taken according to inclusion criteria. The independent variables were wear disposable diaper and never one. The dependent variable was toilet training practised such as the toileting skill of toddler, method of toilet training by the parent, toddler readiness to start toilet training and the parents and environment readiness to start toilet training for toddler. Data were taken by using questionnaire and analysed using Mann Whitney test with significance level of  α<0.05. Result : The result showed that there was no differentiation about the toileting skill of toddler (p=0.631, method of toilet training (p=0.249, and the parents and environment readiness to start toilet training (p=0.207 between the groups. There was differentiation about the toddler readiness to start toilet training between the groups with significance level p=0.000. Analysis : It can be concluded that there are no differentiation about the toilet training practiced beetwen the groups. Discussion : Disposable diaper has influences in the toddler readiness to start toilet training. It has no influences in the toileting skill of toddler, method of toilet training by the parent, and the parents and environment readiness to start toilet training.

  5. System Thinking Scales and Learning Environment of Family Planning Field Workers in East Java, Indonesia

    Science.gov (United States)

    Listyawardani, Dwi; Hariastuti, Iswari

    2016-01-01

    Systems thinking is needed due to the growing complexity of the problems faced family planning field workers in the external environment that is constantly changing. System thinking ability could not be separated from efforts to develop learning for the workers, both learning at the individual, group, or organization level. The design of the study…

  6. Reflective Learning in a Chinese MBA Programme: Scale Assessment and Future Recommendations

    Science.gov (United States)

    Xiao, Qian; Zhu, Pinghui; Hsu, Maxwell K.; Zhuang, Weiling; Peltier, James

    2016-01-01

    The purpose of this study was twofold: (1) to use Chinese MBA students to validate the expanded reflective learning continuum and address the concerns raised in this regard in business education; (2) to determine whether the continuum concept holds true in a non-western culture and whether the reflective learning continuum remains a powerful force…

  7. Learning Analytics in Small-Scale Teacher-Led Innovations: Ethical and Data Privacy Issues

    Science.gov (United States)

    Rodríguez-Triana, María Jesús; Martínez-Monés, Alejandra; Villagrá-Sobrino, Sara

    2016-01-01

    As a further step towards maturity, the field of learning analytics (LA) is working on the definition of frameworks that structure the legal and ethical issues that scholars and practitioners must take into account when planning and applying LA solutions to their learning contexts. However, current efforts in this direction tend to be focused on…

  8. Consequence Management - Ready or Not?

    Science.gov (United States)

    2003-04-07

    Defense will have sufficient capability and be ready to respond to a Weapons of Mass Destruction/ Effects attack. An effective consequence management...Defense adopts the National Military Strategy and its consequence management approach, it must identify Weapons of Mass Destruction/ Effects threats...that the Department of Defense: develop Weapons of Mass Destruction/ Effects performance standards for response assets; implement a consequence

  9. Onderzoek online readiness modezaken 2012

    NARCIS (Netherlands)

    Boels, Han; Weltevreden, Jesse

    2013-01-01

    In dit onderzoek is de online readiness van modezaken in 2012 in kaart gebracht. In totaal hebben 124 (voornamelijk zelfstandige) modezaken deelgenomen aan het onderzoek. Het onderzoek is uitgevoerd door het lectoraat Online Ondernemen samen met studenten van de minor Marketing Tomorrow van de

  10. Onderzoek online readiness rijscholen 2013

    NARCIS (Netherlands)

    Weltevreden, Jesse; Boels, Han

    2013-01-01

    In dit onderzoek is de online readiness van rijscholen in 2013 in kaart gebracht. In totaal hebben 115 rijscholen deelgenomen aan het onderzoek. Het onderzoek is uitgevoerd door het lectoraat Online Ondernemen samen met studenten van de minor Marketing Tomorrow van de Hogeschool van Amsterdam.

  11. Workplace Readiness for Communicating Diversity.

    Science.gov (United States)

    Muir, Clive

    1996-01-01

    Proposes a model for communicating change about diversity using a workplace-readiness approach. Discusses ways organizational change agents can assess the company's current interpersonal and social dynamics, use appropriate influence strategies, and create effective messages that will appeal to employees and help to achieve the desired acceptance…

  12. Safe, Healthy and Ready to Succeed: Arizona School Readiness Key Performance Indicators

    Science.gov (United States)

    Migliore, Donna E.

    2006-01-01

    "Safe, Healthy and Ready to Succeed: Arizona School Readiness Key Performance Indicators" presents a set of baseline measurements that gauge how well a statewide system of school readiness supports is addressing issues that affect Arizona children's readiness for school. The Key Performance Indicators (KPIs) measure the system, rather…

  13. Solar Ready: An Overview of Implementation Practices

    Energy Technology Data Exchange (ETDEWEB)

    Watson, A.; Guidice, L.; Lisell, L.; Doris, L.; Busche, S.

    2012-01-01

    This report explores three mechanisms for encouraging solar ready building design and construction: solar ready legislation, certification programs for solar ready design and construction, and stakeholder education. These methods are not mutually exclusive, and all, if implemented well, could contribute to more solar ready construction. Solar ready itself does not reduce energy use or create clean energy. Nevertheless, solar ready building practices are needed to reach the full potential of solar deployment. Without forethought on incorporating solar into design, buildings may be incompatible with solar due to roof structure or excessive shading. In these cases, retrofitting the roof or removing shading elements is cost prohibitive. Furthermore, higher up-front costs due to structural adaptations and production losses caused by less than optimal roof orientation, roof equipment, or shading will lengthen payback periods, making solar more expensive. With millions of new buildings constructed each year in the United States, solar ready can remove installation barriers and increase the potential for widespread solar adoption. There are many approaches to promoting solar ready, including solar ready legislation, certification programs, and education of stakeholders. Federal, state, and local governments have the potential to implement programs that encourage solar ready and in turn reduce barriers to solar deployment. With the guidance in this document and the examples of jurisdictions and organizations already working to promote solar ready building practices, federal, state, and local governments can guide the market toward solar ready implementation.

  14. Substitution of California Verbal Learning Test, second edition for Verbal Paired Associates on the Wechsler Memory Scale, fourth edition.

    Science.gov (United States)

    Miller, Justin B; Axelrod, Bradley N; Rapport, Lisa J; Hanks, Robin A; Bashem, Jesse R; Schutte, Christian

    2012-01-01

    Two common measures used to evaluate verbal learning and memory are the Verbal Paired Associates (VPA) subtest from the Wechsler Memory Scales (WMS) and the second edition of the California Verbal Learning Test (CVLT-II). For the fourth edition of the WMS, scores from the CVLT-II can be substituted for VPA; the present study sought to examine the validity of the substitution. For each substitution, paired-samples t tests were conducted between original VPA scaled scores and scaled scores obtained from the CVLT-II substitution to evaluate comparability. Similar comparisons were made at the index score level. At the index score level, substitution resulted in significantly lower scores for the AMI (p = .03; r = .13) but not for the IMI (p = .29) or DMI (p = .09). For the subtest scores, substituted scaled scores for VPA were not significantly different from original scores for the immediate recall condition (p = .20) but were significantly lower at delayed recall (p = .01). These findings offer partial support for the substitution. For both the immediate and delayed conditions, the substitution produced generally lower subtest scores compared to original VPA subtest scores.

  15. The Coming Challenge: Are Community Colleges Ready for the New Wave of Contextual Learners?

    Science.gov (United States)

    Hull, Dan; Souders, John C., Jr.

    1996-01-01

    Defines contextual learning, or presenting new information to students in familiar contexts. Argues that community colleges must be ready for an anticipated increase in contextual learners due to its use in tech prep programs. Describes elements of contextual learning, its application in the classroom, and ways that colleges can prepare for…

  16. The Effect of Self-Directedness in Learing on Employment Readiness of Undergraduates in South Korea

    Science.gov (United States)

    Kim, Hee Yeong; Kim, Gi Un

    2018-01-01

    The purpose of this study is to analyze whether self-directedness in learning has positive effects on employment readiness of undergraduates. The subject of this study has little precedent research and we generated a research model. This study shows the following results: First, intrinsic motivation factor of self-directedness in learning has a…

  17. Psychometric evaluation of the Work Readiness Questionnaire in schizophrenia.

    Science.gov (United States)

    Potkin, Steven G; Bugarski-Kirola, Dragana; Edgar, Chris J; Soliman, Sherif; Le Scouiller, Stephanie; Kunovac, Jelena; Miguel Velasco, Eugenio; Garibaldi, George M

    2016-04-01

    Unemployment can negatively impact quality of life among patients with schizophrenia. Employment status depends on ability, opportunity, education, and cultural influences. A clinician-rated scale of work readiness, independent of current work status, can be a valuable assessment tool. A series of studies were conducted to create and validate a Work Readiness Questionnaire (WoRQ) for clinicians to assess patient ability to engage in socially useful activity, independent of work availability. Content validity, test-retest and inter-rater reliability, and construct validity were evaluated in three separate studies. Content validity was supported. Cronbach's α was 0.91, in the excellent range. Clinicians endorsed WoRQ concepts, including treatment adherence, physical appearance, social competence, and symptom control. The final readiness decision showed good test-retest reliability and moderate inter-rater reliability. Work readiness was associated with higher function and lower levels of negative symptoms. Low positive and high negative predictive values confirmed the concept validity. The WoRQ has suitable psychometric properties for use in a clinical trial for patients with a broad range of symptom severity. The scale may be applicable to assess therapeutic interventions. It is not intended to assess eligibility for supported work interventions. The WoRQ is suitable for use in schizophrenia clinical trials to assess patient work functional potential.

  18. Ready to improvise?

    CERN Multimedia

    2008-01-01

    Quite unusually for a CERN colloquium, on 8 and 9 August the CERN Auditorium will host a presentation on comedy and communication and a workshop by Charna Halpern, the founder of "iO theaters" in Chicago and Los Angeles. Members of Geneva’s Impro Federation (FIG) in full swing!Charna Halpern has been teaching performers how to work together for more than 20 years. She founded the world-famous iO theaters (formerly Improv Olympic) in Chicago and Los Angeles in 1981. Today, the theatres are the meccas of training in the art of improvisation, and they act as a "recruiting" stop for television shows supplying New York and Hollywood with writers and performers. Specializing in creating a "group mind" with hilarious end results, Charna Halpern will be sharing her secrets and skills with the CERN audience and she will make her public laugh as they learn. The following day, Saturday, she will give a workshop on how to prepare an improv gro...

  19. Integrating continental-scale ecological data into university courses: Developing NEON's Online Learning Portal

    Science.gov (United States)

    Wasser, L. A.; Gram, W.; Lunch, C. K.; Petroy, S. B.; Elmendorf, S.

    2013-12-01

    NEON materials are being developed in collaboration with labs and organizations across the globe. Integrating data analysis and processing techniques, early in student's careers will support and facilitate student advancement in the sciences - contributing to a larger body of knowledge and understanding of continental and global scale issues. Facilitating understanding of data use and empowering young ecologists with the tools required to process the data, is thus as integral to the observatory as the data itself. In this presentation, we discuss the integral role of freely available education materials that demonstrate the use of big data to address ecological questions and concepts. We also review gaps in existing educational resources related to big data and associated tools. Further, we address the great potential for big data inclusion into both an existing ecological, physical and environmental science courses and self-paced learning model through engaging and interactive multi-media presentation. Finally, we present beta-versions of the interactive, multi-media modules and results from feedback following early piloting and review.

  20. Learning by bidding: evidence from a large-scale natural experiment

    Czech Academy of Sciences Publication Activity Database

    Hanousek, Jan; Kočenda, Evžen

    -, č. 247 (2005), s. 1-33 ISSN 1211-3298 Institutional research plan: CEZ:AV0Z70850503 Keywords : learning * natural experiment * auction Subject RIV: AH - Economics http://www.cerge-ei.cz/pdf/wp/Wp247.pdf

  1. A Large-Scale Multi-Hop Localization Algorithm Based on Regularized Extreme Learning for Wireless Networks.

    Science.gov (United States)

    Zheng, Wei; Yan, Xiaoyong; Zhao, Wei; Qian, Chengshan

    2017-12-20

    A novel large-scale multi-hop localization algorithm based on regularized extreme learning is proposed in this paper. The large-scale multi-hop localization problem is formulated as a learning problem. Unlike other similar localization algorithms, the proposed algorithm overcomes the shortcoming of the traditional algorithms which are only applicable to an isotropic network, therefore has a strong adaptability to the complex deployment environment. The proposed algorithm is composed of three stages: data acquisition, modeling and location estimation. In data acquisition stage, the training information between nodes of the given network is collected. In modeling stage, the model among the hop-counts and the physical distances between nodes is constructed using regularized extreme learning. In location estimation stage, each node finds its specific location in a distributed manner. Theoretical analysis and several experiments show that the proposed algorithm can adapt to the different topological environments with low computational cost. Furthermore, high accuracy can be achieved by this method without setting complex parameters.

  2. Ready for anything

    International Nuclear Information System (INIS)

    Sullivan, T.J.

    1992-01-01

    When the 1986 Chernobyl disaster in the Soviet Union spewed clouds of radioactive material into the air, the US Department of Energy (DoE) asked the Atmospheric Release Advisory Capability (ARAC) team to calculate the extent, magnitude and spread of the radioactive plume. The ARAC emergency response and assessment service was designed and developed at the Lawrence Livermore National Laboratory (USA) to predict radiation dose levels and the extent of surface contamination from nuclear accidents. It has been used in the context of ventings, spills, extortion threats involving nuclear material, re-entry of nuclear-powered satellites and atmospheric nuclear tests. Since the Chernobyl response, significant improvements have been made to ARAC: a new model can simulate accidents involving transport on scales up to hemispheric; model maintenance requirements have been reduced; the initial response time for modelling foreign events has been reduced from about one week to a few hours and the response time for US events is now down to less than 30 minutes. The service is also being extended to the treatment of non-radioactive toxic accidents as the modelling capabilities and databases become available. (author)

  3. Exploring the opinions of registered nurses working in a clinical transfusion environment on the contribution of e-learning to personal learning and clinical practice: results of a small scale educational research study.

    Science.gov (United States)

    Cottrell, Susan; Donaldson, Jayne H

    2013-05-01

    To explore the opinions of registered nurses on the Learnbloodtransfusion Module 1: Safe Transfusion Practice e-learning programme to meeting personal learning styles and learning needs. A qualitative research methodology was applied based on the principles of phenomenology. Adopting a convenience sampling plan supported the recruitment of participants who had successfully completed the e-learning course. Thematic analysis from the semi-structured interviews identified common emerging themes through application of Colaizzis framework. Seven participants of total sample population (89) volunteered to participate in the study. Five themes emerged which included learning preferences, interactive learning, course design, patient safety and future learning needs. Findings positively show the e-learning programme captures the learning styles and needs of learners. In particular, learning styles of a reflector, theorist and activist as well as a visual learner can actively engage in the online learning experience. In an attempt to bridge the knowledge practice gap, further opinions are offered on the course design and the application of knowledge to practice following completion of the course. The findings of the small scale research study have shown that the e-learning course does meet the diverse learning styles and needs of nurses working in a clinical transfusion environment. However, technology alone is not sufficient and a blended approach to learning must be adopted to meet bridging the theory practice gap supporting the integration of knowledge to clinical practice. Copyright © 2013 Elsevier Ltd. All rights reserved.

  4. Experience of Google's latest deep learning library, TensorFlow, in a large-scale WLCG cluster

    Energy Technology Data Exchange (ETDEWEB)

    Kawamura, Gen; Smith, Joshua Wyatt; Quadt, Arnulf [II. Physikalisches Institut, Georg-August-Universitaet Goettingen (Germany)

    2016-07-01

    The researchers at the Google Brain team released their second generation's Deep Learning library, TensorFlow, as an open-source package under the Apache 2.0 license in November, 2015. Google has already deployed the first generation's library using DistBlief in various systems such as Google Search, advertising systems, speech recognition systems, Google Images, Google Maps, Street View, Google Translate and many other latest products. In addition, many researchers in high energy physics have recently started to understand and use Deep Learning algorithms in their own research and analysis. We conceive a first use-case scenario of TensorFlow to create the Deep Learning models from high-dimensional inputs like physics analysis data in a large-scale WLCG computing cluster. TensorFlow carries out computations using a dataflow model and graph structure onto a wide variety of different hardware platforms and systems, such as many CPU architectures, GPUs and smartphone platforms. Having a single library that can distribute the computations to create a model to the various platforms and systems would significantly simplify the use of Deep Learning algorithms in high energy physics. We deploy TensorFlow with the Docker container environments and present the first use in our grid system.

  5. “Getting Ready for School:” A Preliminary Evaluation of a Parent-Focused School-Readiness Program

    Directory of Open Access Journals (Sweden)

    Kimberly G. Noble

    2012-01-01

    Full Text Available Children from disadvantaged backgrounds tend to start school with fewer school readiness skills than their more advantaged peers. Emergent literacy and math skills play an important role in this gap. The family is essential in helping children build these skills, and the active involvement of families is crucial to the success of any intervention for young children. The Getting Ready for School (GRS program is a parent-focused curriculum designed to help parents equip their children with the skills and enthusiasm necessary for learning when they start school. Parents meet in weekly workshops led by a trained facilitator and implement the curriculum at home with their children. The objective of this pilot study was to assess the promise of the GRS intervention in children participating in an urban Head Start program and to explore parents' responses to the intervention. We hypothesized that participation in GRS would improve school readiness in literacy and math skills, relative to participation in business-as-usual Head Start. Four Head Start classrooms (two randomly selected “intervention” and two “comparison” classrooms participated in this study. Preliminary analyses suggest that GRS improves school readiness over and above a Head Start-as-usual experience. Implications for early childhood programs and policies are discussed.

  6. StormReady in a Box: Enhancing NOAA's Presence in Schools

    Science.gov (United States)

    Grondin, N. S.; Franks, C.

    2015-12-01

    The National Weather Service StormReady Supporter program exists to give schools, companies, TV stations, and other facilities the opportunity to earn recognition for their weather preparedness and awareness. Requirements to earn StormReady Supporter status include having a facility warning point, use of NOAA Weather Radios, and weather hazard Emergency Operation Plans. Despite the increasing importance of weather preparedness in schools, only 1.2% of Minnesota schools are deemed StormReady by the National Weather Service. It was determined that the major impedance for schools becoming StormReady Supporters is the lack of time for administrators to engage in anything "extra" beyond their listed duties. As part of a 2015 Hollings Scholar project, the StormReady in a Box concept was developed to remedy this, by empowering teachers and students to take charge and complete the StormReady Supporter application for their school. StormReady in a Box is a project developed for Junior High School students to learn about weather preparedness and to help their school acquire StormReady status. The project was designed to be relevant to the Minnesota State Education Standards in Science, be simple for teachers to do with their students, and most importantly, to be enjoyable for Junior High School age students to do. The project was also designed to enhance critical thinking skills and logical reasoning abilities, as they relate to the StormReady Supporter application. This presentation will present the overall rationale for the undertaking of this project, the creation of, and the logical next steps for the StormReady in a Box project.

  7. A Multiphysics Framework to Learn and Predict in Presence of Multiple Scales

    Science.gov (United States)

    Tomin, P.; Lunati, I.

    2015-12-01

    Modeling complex phenomena in the subsurface remains challenging due to the presence of multiple interacting scales, which can make it impossible to focus on purely macroscopic phenomena (relevant in most applications) and neglect the processes at the micro-scale. We present and discuss a general framework that allows us to deal with the situation in which the lack of scale separation requires the combined use of different descriptions at different scale (for instance, a pore-scale description at the micro-scale and a Darcy-like description at the macro-scale) [1,2]. The method is based on conservation principles and constructs the macro-scale problem by numerical averaging of micro-scale balance equations. By employing spatiotemporal adaptive strategies, this approach can efficiently solve large-scale problems [2,3]. In addition, being based on a numerical volume-averaging paradigm, it offers a tool to illuminate how macroscopic equations emerge from microscopic processes, to better understand the meaning of microscopic quantities, and to investigate the validity of the assumptions routinely used to construct the macro-scale problems. [1] Tomin, P., and I. Lunati, A Hybrid Multiscale Method for Two-Phase Flow in Porous Media, Journal of Computational Physics, 250, 293-307, 2013 [2] Tomin, P., and I. Lunati, Local-global splitting and spatiotemporal-adaptive Multiscale Finite Volume Method, Journal of Computational Physics, 280, 214-231, 2015 [3] Tomin, P., and I. Lunati, Spatiotemporal adaptive multiphysics simulations of drainage-imbibition cycles, Computational Geosciences, 2015 (under review)

  8. Nuclear explosives testing readiness evaluation

    Energy Technology Data Exchange (ETDEWEB)

    Valk, T.C.

    1993-09-01

    This readiness evaluation considers hole selection and characterization, verification, containment issues, nuclear explosive safety studies, test authorities, event operations planning, canister-rack preparation, site preparation, diagnostic equipment setup, device assembly facilities and processes, device delivery and insertion, emplacement, stemming, control room activities, readiness briefing, arming and firing, test execution, emergency response and reentry, and post event analysis to include device diagnostics, nuclear chemistry, and containment. This survey concludes that the LLNL program and its supporting contractors could execute an event within six months of notification, and a second event within the following six months, given the NET group`s evaluation and the following three restraints: (1) FY94 (and subsequent year) funding is essentially constant with FY93, (2) Preliminary work for the initial event is completed to the historical sic months status, (3) Critical personnel, currently working in dual use technologies, would be recallable as needed.

  9. Defining a New North Star: Aligning Local Control Accountability Plans to College and Career Readiness. Policy Brief

    Science.gov (United States)

    Beach, Paul; Thier, Michael; Lench, Sarah Collins; Coleman, Matt

    2015-01-01

    Educators have the increasingly difficult task of preparing students to live, learn, and work in the 21st century. Amidst those challenges, a growing body of research suggests that college and career readiness depends upon students' ability to think critically, learn how to learn, communicate, and collaborate. The No Child Left Behind (NCLB) era…

  10. GRENADA. Renewables Readiness Assessment 2012

    Energy Technology Data Exchange (ETDEWEB)

    NONE

    2012-07-01

    Grenada, like many Caribbean islands, is dependent on costly oil imports for its energy needs, including the generation of electricity. The transition to renewable energy could potentially support price reductions and improve the overall competitiveness of key sectors of the economy, particularly tourism. This report provides facts and analysis to support the country's discussion on ways to move forward with the renewable energy agenda. IRENA is ready to provide support in the implementation of the actions identified in this report.

  11. Large Scale Metric Learning for Distance-Based Image Classification on Open Ended Data Sets

    NARCIS (Netherlands)

    Mensink, T.; Verbeek, J.; Perronnin, F.; Csurka, G.; Farinella, G.M.; Battiato, S.; Cipolla, R,

    2013-01-01

    Many real-life large-scale datasets are open-ended and dynamic: new images are continuously added to existing classes, new classes appear over time, and the semantics of existing classes might evolve too. Therefore, we study large-scale image classification methods that can incorporate new classes

  12. Using Relational Reasoning to Learn about Scientific Phenomena at Unfamiliar Scales

    Science.gov (United States)

    Resnick, Ilyse; Davatzes, Alexandra; Newcombe, Nora S.; Shipley, Thomas F.

    2017-01-01

    Many scientific theories and discoveries involve reasoning about extreme scales, removed from human experience, such as time in geology and size in nanoscience. Thus, understanding scale is central to science, technology, engineering, and mathematics. Unfortunately, novices have trouble understanding and comparing sizes of unfamiliar large and…

  13. Scale in technology and learning-by-doing in the windmill industry

    DEFF Research Database (Denmark)

    Madsen, Erik Strøjer; Jensen, Camilla; Hansen, Jørgen Drud

    2003-01-01

    that learning-by-doing in the Danish windmill industry has contributed significantly to improve the cost efficiency of the producers. The technological development has been stimulated both by process and product innovations as the capacity of the individual mills has increased. The learning effect created......This paper examines the remarkable development of technology and the fast learning-by-doing in the windmill industry since it emerged in the beginning of the 1980s. Based on time series of prices of windmills, a dynamic cost function for producing windmills is tested. The estimations verified...... by early subsidies from the government has consolidated the competitive advantages of the windmill cluster in Denmark and preserved the first mover advantages at the world market. The article concludes that the industry probably will enter into a matured phase in the future with more modest technological...

  14. Scale in Technology and Learning-by-Doing in the Windmill Industry

    DEFF Research Database (Denmark)

    Madsen, Erik Strøjer; Jensen, Camilla; Hansen, Jørgen Drud

    that learning-by-doing in the Danish windmill industry has contributed significantly to improve the cost efficiency of the producers. The technological development has been stimulated both by process and product innovations as the capacity of the individual mills has increased. The learning effect created......This paper examines the remarkable development of technology and the fast learning-by-doing in the windmill industry since it emerged in the beginning of the 1980s. Based on time series of prices of windmills a dynamic cost function for producing windmills is tested. The estimations verified...... by early subsidies from the government has consolidated the competitive advantages of the windmill cluster in Denmark and preserved the first mover advantages at the world market. The article concludes that the industry probably will enter into a matured phase in the future with more modest technological...

  15. Scale in technology and learning-by-doing in the windmill industry

    DEFF Research Database (Denmark)

    Madsen, Erik Strøjer; Jensen, Camilla; Hansen, Jørgen Drud

    2003-01-01

    This paper examines the remarkable development of technology and the fast learning-by-doing in the windmill industry since it emerged in the beginning of the 1980s. Based on time series of prices of windmills, a dynamic cost function for producing windmills is tested. The estimations verified...... that learning-by-doing in the Danish windmill industry has contributed significantly to improve the cost efficiency of the producers. The technological development has been stimulated both by process and product innovations as the capacity of the individual mills has increased. The learning effect created...... by early subsidies from the government has consolidated the competitive advantages of the windmill cluster in Denmark and preserved the first mover advantages at the world market. The article concludes that the industry probably will enter into a matured phase in the future with more modest technological...

  16. Concurrent validity of the differential ability scales, second edition with the Mullen Scales of Early Learning in young children with and without neurodevelopmental disorders.

    Science.gov (United States)

    Farmer, Cristan; Golden, Christine; Thurm, Audrey

    2016-01-01

    Estimates of intelligence in young children with neurodevelopmental disorders are critical for making diagnoses, in characterizing symptoms of disorders, and in predicting future outcomes. The limitations of standardized testing for children with developmental delay or cognitive impairment are well known: Tests do not exist that provide developmentally appropriate material along with norms that extend to the lower reaches of ability. Two commonly used and interchanged instruments are the Mullen Scales of Early Learning (MSEL), a test of developmental level, and the Differential Ability Scales, second edition (DAS-II), a more traditional cognitive test. We evaluated the correspondence of contemporaneous MSEL and the DAS-II scores in a mixed sample of children aged 2-10 years with autism spectrum disorder (ASD), non-ASD developmental delays, and typically developing children across the full spectrum of cognitive ability. Consistent with published data on the original DAS and the MSEL, scores on the DAS-II and MSEL were highly correlated. However, curve estimation revealed large mean differences that varied as a function of the child's cognitive ability level. We conclude that interchanging MSEL and DAS-II scores without regard to the discrepancy in scores may produce misleading results in both cross-sectional and longitudinal studies of children with and without ASD, and, thus, this practice should be implemented with caution.

  17. Community-Wide Zero Energy Ready Home Standard

    Energy Technology Data Exchange (ETDEWEB)

    Herk, A. [IBACOS, Inc., Pittsburgh, PA (United States); Beggs, T. [IBACOS, Inc., Pittsburgh, PA (United States)

    2016-02-05

    This report outlines the steps a developer can take when creating and implementing high performance standards such as the U.S. Department of Energy’s (DOE’s) Zero Energy Ready Home (ZERH) standards on a community-wide scale. The report also describes the specific examples of how this process is underway in the Stapleton community in Denver, Colorado, by the developer Forest City.

  18. Coupling machine learning with mechanistic models to study runoff production and river flow at the hillslope scale

    Science.gov (United States)

    Marçais, J.; Gupta, H. V.; De Dreuzy, J. R.; Troch, P. A. A.

    2016-12-01

    Geomorphological structure and geological heterogeneity of hillslopes are major controls on runoff responses. The diversity of hillslopes (morphological shapes and geological structures) on one hand, and the highly non linear runoff mechanism response on the other hand, make it difficult to transpose what has been learnt at one specific hillslope to another. Therefore, making reliable predictions on runoff appearance or river flow for a given hillslope is a challenge. Applying a classic model calibration (based on inverse problems technique) requires doing it for each specific hillslope and having some data available for calibration. When applied to thousands of cases it cannot always be promoted. Here we propose a novel modeling framework based on coupling process based models with data based approach. First we develop a mechanistic model, based on hillslope storage Boussinesq equations (Troch et al. 2003), able to model non linear runoff responses to rainfall at the hillslope scale. Second we set up a model database, representing thousands of non calibrated simulations. These simulations investigate different hillslope shapes (real ones obtained by analyzing 5m digital elevation model of Brittany and synthetic ones), different hillslope geological structures (i.e. different parametrizations) and different hydrologic forcing terms (i.e. different infiltration chronicles). Then, we use this model library to train a machine learning model on this physically based database. Machine learning model performance is then assessed by a classic validating phase (testing it on new hillslopes and comparing machine learning with mechanistic outputs). Finally we use this machine learning model to learn what are the hillslope properties controlling runoffs. This methodology will be further tested combining synthetic datasets with real ones.

  19. The Logarithmic-to-Linear Shift: One Learning Sequence, Many Tasks, Many Time Scales

    Science.gov (United States)

    Siegler, Robert S.; Thompson, Clarissa A.; Opfer, John E.

    2009-01-01

    The relation between short-term and long-term change (also known as learning and development) has been of great interest throughout the history of developmental psychology. Werner and Vygotsky believed that the two involved basically similar progressions of qualitatively distinct knowledge states; behaviorists such as Kendler and Kendler believed…

  20. Implementing Mobile Learning Curricula in Schools: A Programme of Research from Innovation to Scaling

    Science.gov (United States)

    Looi, Chee-Kit; Wong, Lung-Hsiang

    2014-01-01

    Many countries, regions and education districts in the world have experimented with models of one-device-per-student as an enabler of new or effective pedagogies supported by mobile technologies. Researchers have also designed innovations or interventions for possible adoption by schools or for informal learning. Of critical interest to the…

  1. Framing Affects Scale Usage for Judgments of Learning, Not Confidence in Memory

    Science.gov (United States)

    England, Benjamin D.; Ortegren, Francesca R.; Serra, Michael J.

    2017-01-01

    Framing metacognitive judgments of learning (JOLs) in terms of the likelihood of forgetting rather than remembering consistently yields a counterintuitive outcome: The mean of participants' forget-framed JOLs is often higher (after reverse-scoring) than the mean of their remember-framed JOLs, suggesting greater confidence in memory. In the present…

  2. Psychometric Characteristics of the EEAA (Scale of Affective Strategies in the Learning Process)

    Science.gov (United States)

    Villardón-Gallego, Lourdes; Yániz, Concepción

    2014-01-01

    Introduction: Affective strategies for coping with affective states linked to the learning process may be oriented toward controlling emotions or toward controlling motivation. Both types affect performance, directly and indirectly. The objective of this research was to design an instrument for measuring the affective strategies used by university…

  3. Learning and clean-up in a large scale music database

    DEFF Research Database (Denmark)

    Hansen, Lars Kai; Lehn-Schiøler, Tue; Petersen, Kaare Brandt

    2007-01-01

    We have collected a database of musical features from radio broadcasts (N > 100.000). The database poses a number of hard modeling challenges including: Segmentation problems and missing metadata. We describe our efforts towards cleaning the database using signal processing and machine learning...

  4. Evidence based practice readiness: A concept analysis.

    Science.gov (United States)

    Schaefer, Jessica D; Welton, John M

    2018-01-15

    To analyse and define the concept "evidence based practice readiness" in nurses. Evidence based practice readiness is a term commonly used in health literature, but without a clear understanding of what readiness means. Concept analysis is needed to define the meaning of evidence based practice readiness. A concept analysis was conducted using Walker and Avant's method to clarify the defining attributes of evidence based practice readiness as well as antecedents and consequences. A Boolean search of PubMed and Cumulative Index for Nursing and Allied Health Literature was conducted and limited to those published after the year 2000. Eleven articles met the inclusion criteria for this analysis. Evidence based practice readiness incorporates personal and organisational readiness. Antecedents include the ability to recognize the need for evidence based practice, ability to access and interpret evidence based practice, and a supportive environment. The concept analysis demonstrates the complexity of the concept and its implications for nursing practice. The four pillars of evidence based practice readiness: nursing, training, equipping and leadership support are necessary to achieve evidence based practice readiness. Nurse managers are in the position to address all elements of evidence based practice readiness. Creating an environment that fosters evidence based practice can improve patient outcomes, decreased health care cost, increase nurses' job satisfaction and decrease nursing turnover. © 2018 John Wiley & Sons Ltd.

  5. The concept of readiness to change.

    Science.gov (United States)

    Dalton, Cindy C; Gottlieb, Laurie N

    2003-04-01

    Readiness is associated with change, yet there is little understanding of this construct. The purpose of this study was to examine readiness; its referents, associated factors and the resulting consequences. In the course of nursing five clients living with multiple sclerosis over a 7-month period using a Reflective Practice Model, data were systematically gathered using open-ended and then more focused questioning. Data collected during 42 client encounters (28 face-to-face encounters; 14 telephone contacts) were analysed using Chinn and Kramer's concept analysis technique. Findings. The concept of readiness was inductively derived. Readiness is both a state and a process. Before clients can create change they need to become ready to change. A number of factors trigger readiness. These include when: (a) clients perceive that a health concern is not going to resolve, (b) a change in a client's physical condition takes on new significance, (c) clients feel better able to manage their stress, (d) clients have sufficient energy, (e) clients perceive that they have adequate support in undertaking change. When one or more of these factors is present clients become ready to consider change. The process of readiness involves recognizing the need to change, weighing the costs and benefits and, when benefits outweigh costs, planning for change. The desire to change and to take action determines clients' degree of readiness. When they experience a high degree of readiness they report less anger, less depression, and view their condition in a more positive light. In contrast, when they experience a low degree of readiness they report feeling depressed, afraid and vulnerable in the face of change. Nursing has an important role to play in creating conditions to support change. To fulfil this role, nurses need to be able to assess readiness for change and the factors that enable it and then to intervene in ways that facilitate readiness.

  6. Guided Learning at Work.

    Science.gov (United States)

    Billett, Stephen

    2000-01-01

    Guided learning (questioning, diagrams/analogies, modeling, coaching) was studied through critical incident interviews in five workplaces. Participation in everyday work activities was the most effective contributor to workplace learning. Organizational readiness and the efficacy of guided learning in resolving novel tasks were also important. (SK)

  7. Length of stay after vaginal birth: sociodemographic and readiness-for-discharge factors.

    Science.gov (United States)

    Weiss, Marianne; Ryan, Polly; Lokken, Lisa; Nelson, Magdalen

    2004-06-01

    The impact of reductions in postpartum length of stay have been widely reported, but factors influencing length of hospital stay after vaginal birth have received less attention. The study purpose was to compare the sociodemographic characteristics and readiness for discharge of new mothers and their newborns at 3 discharge time intervals, and to determine which variables were associated with postpartum length of stay. The study sample comprised 1,192 mothers who were discharged within 2 postpartum days after uncomplicated vaginal birth at a tertiary perinatal center in the midwestern United States. The sample was divided into 3 postpartum length-of-stay groups: group 1 (18-30 hr), group 2 (31-42 hr), and group 3 (43-54 hr). Sociodemographic and readiness-for-discharge data were collected by self-report and from a computerized hospital information system. Measures of readiness for discharge included perceived readiness (single item and Readiness for Discharge After Birth Scale), documented maternal and neonatal clinical problems, and feeding method. Compared with other groups, the longest length-of-stay group was older; of higher socioeconomic status and education; and with more primiparous, breastfeeding, white, married mothers who were living with the baby's father, had adequate home help, and had a private payor source. This group also reported greater readiness for discharge, but their newborns had more documented clinical problems during the postbirth hospitalization. In logistic regression modeling, earlier discharge was associated with young age, multiparity, public payor source, low socioeconomic status, lack of readiness for discharge, bottle-feeding, and absence of a neonatal clinical problem. Sociodemographic characteristics and readiness for discharge (clinical and perceived) were associated with length of postpartum hospital stay. Length of stay is an outcome of a complex interface between patient, provider, and payor influences on discharge timing

  8. SaludABLEOmaha: improving readiness to address obesity through healthy lifestyle in a Midwestern Latino community, 2011-2013.

    Science.gov (United States)

    Frerichs, Leah; Brittin, Jeri; Robbins, Regina; Steenson, Sharalyn; Stewart, Catherine; Fisher, Christopher; Huang, Terry T-K

    2015-02-12

    A community's readiness for change is a precursor to the effective application of evidence-based practices for health promotion. Research is lacking regarding potential strategies to improve readiness to address obesity-related health issues in underserved communities. This case study describes SaludABLEOmaha, an initiative to increase readiness of residents in a Midwestern Latino community to address obesity and adopt healthy lifestyles. SaludABLEOmaha emphasized 2 core approaches, youth activism and collaboration among public and private institutions, which we applied to planning and implementing tactics in support of 3 interconnected strategies: 1) social marketing and social media, 2) service learning in schools (ie, curricula that integrate hands-on community service with instruction and reflection), and 3) community and business engagement. Following the Community Readiness Model protocol (http://triethniccenter.colostate.edu/communityReadiness.htm), structured interviews were conducted with community leaders and analyzed before and 2.5 years after launch of the program. The community increased in readiness from stage 3 of the Community Readiness Model, "vague awareness," at baseline to stage 5, "preparation," at follow-up. SaludABLEOmaha improved community readiness (eg, community knowledge, community climate), which probably contributed to the observed increase in readiness to address obesity through healthy lifestyle. Community mobilization approaches such as youth activism integrated with social marketing and social media tactics can improve community responsiveness to obesity prevention and diminish health disparities.

  9. SaludABLEOmaha: Improving Readiness to Address Obesity Through Healthy Lifestyle in a Midwestern Latino Community, 2011–2013

    Science.gov (United States)

    Frerichs, Leah; Brittin, Jeri; Robbins, Regina; Steenson, Sharalyn; Stewart, Catherine; Fisher, Christopher

    2015-01-01

    Background A community’s readiness for change is a precursor to the effective application of evidence-based practices for health promotion. Research is lacking regarding potential strategies to improve readiness to address obesity-related health issues in underserved communities. Community Context This case study describes SaludABLEOmaha, an initiative to increase readiness of residents in a Midwestern Latino community to address obesity and adopt healthy lifestyles. Methods SaludABLEOmaha emphasized 2 core approaches, youth activism and collaboration among public and private institutions, which we applied to planning and implementing tactics in support of 3 interconnected strategies: 1) social marketing and social media, 2) service learning in schools (ie, curricula that integrate hands-on community service with instruction and reflection), and 3) community and business engagement. Following the Community Readiness Model protocol (http://triethniccenter.colostate.edu/communityReadiness.htm), structured interviews were conducted with community leaders and analyzed before and 2.5 years after launch of the program. Outcome The community increased in readiness from stage 3 of the Community Readiness Model, “vague awareness,” at baseline to stage 5, “preparation,” at follow-up. Interpretation SaludABLEOmaha improved community readiness (eg, community knowledge, community climate), which probably contributed to the observed increase in readiness to address obesity through healthy lifestyle. Community mobilization approaches such as youth activism integrated with social marketing and social media tactics can improve community responsiveness to obesity prevention and diminish health disparities. PMID:25674679

  10. Grade 12 Students' Conceptual Understanding and Mental Models of Galvanic Cells before and after Learning by Using Small-Scale Experiments in Conjunction with a Model Kit

    Science.gov (United States)

    Supasorn, Saksri

    2015-01-01

    This study aimed to develop the small-scale experiments involving electrochemistry and the galvanic cell model kit featuring the sub-microscopic level. The small-scale experiments in conjunction with the model kit were implemented based on the 5E inquiry learning approach to enhance students' conceptual understanding of electrochemistry. The…

  11. West Virginia Digital Learning: Report to the Governor, Legislature, and West Virginia Board of Education

    Science.gov (United States)

    Alliance for Excellent Education, 2014

    2014-01-01

    Accomplishing personalized, deeper learning through anywhere, anytime digital learning requires a redesign of the K-12 education system. This report looks at readiness for digital learning at two levels in West Virginia: the district capacity building to ready the system for digital learning and school implementation of digital learning. The…

  12. Cross-validation of the Student Perceptions of Team-Based Learning Scale in the United States

    Directory of Open Access Journals (Sweden)

    Donald H. Lein

    2017-06-01

    Full Text Available Purpose The purpose of this study was to cross-validate the factor structure of the previously developed Student Perceptions of Team-Based Learning (TBL Scale among students in an entry-level doctor of physical therapy (DPT program in the United States. Methods Toward the end of the semester in 2 patient/client management courses taught using TBL, 115 DPT students completed the Student Perceptions of TBL Scale, with a response rate of 87%. Principal component analysis (PCA and confirmatory factor analysis (CFA were conducted to replicate and confirm the underlying factor structure of the scale. Results Based on the PCA for the validation sample, the original 2-factor structure (preference for TBL and preference for teamwork of the Student Perceptions of TBL Scale was replicated. The overall goodness-of-fit indices from the CFA suggested that the original 2-factor structure for the 15 items of the scale demonstrated a good model fit (comparative fit index, 0.95; non-normed fit index/Tucker-Lewis index, 0.93; root mean square error of approximation, 0.06; and standardized root mean square residual, 0.07. The 2 factors demonstrated high internal consistency (alpha= 0.83 and 0.88, respectively. DPT students taught using TBL viewed the factor of preference for teamwork more favorably than preference for TBL. Conclusion Our findings provide evidence supporting the replicability of the internal structure of the Student Perceptions of TBL Scale when assessing perceptions of TBL among DPT students in patient/client management courses.

  13. The readiness of schools in Zimbabwe for the implementation of early childhood education

    Directory of Open Access Journals (Sweden)

    Ezron Mangwaya

    2016-02-01

    Full Text Available This qualitative study focuses on primary schools' state of readiness for the introduction of early childhood education. Adopting a multiple case study design, the article explores, through semi-structured interviews and documentation, school heads, teachers-in-charge and classroom teachers' perceptions of their respective schools' state of readiness for the installation and implementation of early childhood education. The study established that, while classroom teachers were adequately qualified to implement early childhood education, teachers-in-charge were not. Secondly, school heads received limited induction for the introduction and implementation of early childhood education. Additionally, inadequate teaching-learning resources and lack of on-going teacher support contributed to schools' lack of readiness for the introduction of early childhood education. The study recommends interventions that curriculum planners and implementers can utilise in order to create conditions that enable primary schools to be ready for introducing and implementing early childhood education.

  14. Learning Traffic as Images: A Deep Convolutional Neural Network for Large-Scale Transportation Network Speed Prediction.

    Science.gov (United States)

    Ma, Xiaolei; Dai, Zhuang; He, Zhengbing; Ma, Jihui; Wang, Yong; Wang, Yunpeng

    2017-04-10

    This paper proposes a convolutional neural network (CNN)-based method that learns traffic as images and predicts large-scale, network-wide traffic speed with a high accuracy. Spatiotemporal traffic dynamics are converted to images describing the time and space relations of traffic flow via a two-dimensional time-space matrix. A CNN is applied to the image following two consecutive steps: abstract traffic feature extraction and network-wide traffic speed prediction. The effectiveness of the proposed method is evaluated by taking two real-world transportation networks, the second ring road and north-east transportation network in Beijing, as examples, and comparing the method with four prevailing algorithms, namely, ordinary least squares, k-nearest neighbors, artificial neural network, and random forest, and three deep learning architectures, namely, stacked autoencoder, recurrent neural network, and long-short-term memory network. The results show that the proposed method outperforms other algorithms by an average accuracy improvement of 42.91% within an acceptable execution time. The CNN can train the model in a reasonable time and, thus, is suitable for large-scale transportation networks.

  15. Machine learning for large-scale wearable sensor data in Parkinson's disease: Concepts, promises, pitfalls, and futures.

    Science.gov (United States)

    Kubota, Ken J; Chen, Jason A; Little, Max A

    2016-09-01

    For the treatment and monitoring of Parkinson's disease (PD) to be scientific, a key requirement is that measurement of disease stages and severity is quantitative, reliable, and repeatable. The last 50 years in PD research have been dominated by qualitative, subjective ratings obtained by human interpretation of the presentation of disease signs and symptoms at clinical visits. More recently, "wearable," sensor-based, quantitative, objective, and easy-to-use systems for quantifying PD signs for large numbers of participants over extended durations have been developed. This technology has the potential to significantly improve both clinical diagnosis and management in PD and the conduct of clinical studies. However, the large-scale, high-dimensional character of the data captured by these wearable sensors requires sophisticated signal processing and machine-learning algorithms to transform it into scientifically and clinically meaningful information. Such algorithms that "learn" from data have shown remarkable success in making accurate predictions for complex problems in which human skill has been required to date, but they are challenging to evaluate and apply without a basic understanding of the underlying logic on which they are based. This article contains a nontechnical tutorial review of relevant machine-learning algorithms, also describing their limitations and how these can be overcome. It discusses implications of this technology and a practical road map for realizing the full potential of this technology in PD research and practice. © 2016 International Parkinson and Movement Disorder Society. © 2016 International Parkinson and Movement Disorder Society.

  16. Opposite monosynaptic scaling of BLP-vCA1 inputs governs hopefulness- and helplessness-modulated spatial learning and memory.

    Science.gov (United States)

    Yang, Ying; Wang, Zhi-Hao; Jin, Sen; Gao, Di; Liu, Nan; Chen, Shan-Ping; Zhang, Sinan; Liu, Qing; Liu, Enjie; Wang, Xin; Liang, Xiao; Wei, Pengfei; Li, Xiaoguang; Li, Yin; Yue, Chenyu; Li, Hong-Lian; Wang, Ya-Li; Wang, Qun; Ke, Dan; Xie, Qingguo; Xu, Fuqiang; Wang, Liping; Wang, Jian-Zhi

    2016-07-14

    Different emotional states lead to distinct behavioural consequences even when faced with the same challenging events. Emotions affect learning and memory capacities, but the underlying neurobiological mechanisms remain elusive. Here we establish models of learned helplessness (LHL) and learned hopefulness (LHF) by exposing animals to inescapable foot shocks or with anticipated avoidance trainings. The LHF animals show spatial memory potentiation with excitatory monosynaptic upscaling between posterior basolateral amygdale (BLP) and ventral hippocampal CA1 (vCA1), whereas the LHL show memory deficits with an attenuated BLP-vCA1 connection. Optogenetic disruption of BLP-vCA1 inputs abolishes the effects of LHF and impairs synaptic plasticity. By contrast, targeted BLP-vCA1 stimulation rescues the LHL-induced memory deficits and mimics the effects of LHF. BLP-vCA1 stimulation increases synaptic transmission and dendritic plasticity with the upregulation of CREB and intrasynaptic AMPA receptors in CA1. These findings indicate that opposite excitatory monosynaptic scaling of BLP-vCA1 controls LHF- and LHL-modulated spatial memory, revealing circuit-specific mechanisms linking emotions to memory.

  17. Opposite monosynaptic scaling of BLP–vCA1 inputs governs hopefulness- and helplessness-modulated spatial learning and memory

    Science.gov (United States)

    Yang, Ying; Wang, Zhi-Hao; Jin, Sen; Gao, Di; Liu, Nan; Chen, Shan-Ping; Zhang, Sinan; Liu, Qing; Liu, Enjie; Wang, Xin; Liang, Xiao; Wei, Pengfei; Li, Xiaoguang; Li, Yin; Yue, Chenyu; Li, Hong-lian; Wang, Ya-Li; Wang, Qun; Ke, Dan; Xie, Qingguo; Xu, Fuqiang; Wang, Liping; Wang, Jian-Zhi

    2016-01-01

    Different emotional states lead to distinct behavioural consequences even when faced with the same challenging events. Emotions affect learning and memory capacities, but the underlying neurobiological mechanisms remain elusive. Here we establish models of learned helplessness (LHL) and learned hopefulness (LHF) by exposing animals to inescapable foot shocks or with anticipated avoidance trainings. The LHF animals show spatial memory potentiation with excitatory monosynaptic upscaling between posterior basolateral amygdale (BLP) and ventral hippocampal CA1 (vCA1), whereas the LHL show memory deficits with an attenuated BLP–vCA1 connection. Optogenetic disruption of BLP–vCA1 inputs abolishes the effects of LHF and impairs synaptic plasticity. By contrast, targeted BLP–vCA1 stimulation rescues the LHL-induced memory deficits and mimics the effects of LHF. BLP–vCA1 stimulation increases synaptic transmission and dendritic plasticity with the upregulation of CREB and intrasynaptic AMPA receptors in CA1. These findings indicate that opposite excitatory monosynaptic scaling of BLP–vCA1 controls LHF- and LHL-modulated spatial memory, revealing circuit-specific mechanisms linking emotions to memory. PMID:27411738

  18. Towards large-scale FAME-based bacterial species identification using machine learning techniques.

    Science.gov (United States)

    Slabbinck, Bram; De Baets, Bernard; Dawyndt, Peter; De Vos, Paul

    2009-05-01

    In the last decade, bacterial taxonomy witnessed a huge expansion. The swift pace of bacterial species (re-)definitions has a serious impact on the accuracy and completeness of first-line identification methods. Consequently, back-end identification libraries need to be synchronized with the List of Prokaryotic names with Standing in Nomenclature. In this study, we focus on bacterial fatty acid methyl ester (FAME) profiling as a broadly used first-line identification method. From the BAME@LMG database, we have selected FAME profiles of individual strains belonging to the genera Bacillus, Paenibacillus and Pseudomonas. Only those profiles resulting from standard growth conditions have been retained. The corresponding data set covers 74, 44 and 95 validly published bacterial species, respectively, represented by 961, 378 and 1673 standard FAME profiles. Through the application of machine learning techniques in a supervised strategy, different computational models have been built for genus and species identification. Three techniques have been considered: artificial neural networks, random forests and support vector machines. Nearly perfect identification has been achieved at genus level. Notwithstanding the known limited discriminative power of FAME analysis for species identification, the computational models have resulted in good species identification results for the three genera. For Bacillus, Paenibacillus and Pseudomonas, random forests have resulted in sensitivity values, respectively, 0.847, 0.901 and 0.708. The random forests models outperform those of the other machine learning techniques. Moreover, our machine learning approach also outperformed the Sherlock MIS (MIDI Inc., Newark, DE, USA). These results show that machine learning proves very useful for FAME-based bacterial species identification. Besides good bacterial identification at species level, speed and ease of taxonomic synchronization are major advantages of this computational species

  19. Dislocation-stacking fault tetrahedron interaction: what can we learn from atomic-scale modelling

    International Nuclear Information System (INIS)

    Osetsky, Yu.N.; Stoller, R.E.; Matsukawa, Y.

    2004-01-01

    The high number density of stacking fault tetrahedra (SFTs) observed in irradiated fcc metals suggests that they should contribute to radiation-induced hardening and, therefore, taken into account when estimating mechanical properties changes of irradiated materials. The central issue is describing the individual interaction between a moving dislocation and an SFT, which is characterized by a very fine size scale, ∼100 nm. This scale is amenable to both in situ TEM experiments and large-scale atomic modelling. In this paper we present results of an atomistic simulation of dislocation-SFT interactions using molecular dynamics (MD). The results are compared with observations from in situ deformation experiments. It is demonstrated that in some cases the simulations and experimental observations are quite similar, suggesting a reasonable interpretation of experimental observations

  20. Librarian readiness for research partnerships.

    Science.gov (United States)

    Mazure, Emily S; Alpi, Kristine M

    2015-04-01

    This study investigated health sciences librarians' knowledge and skill-based readiness to partner on sponsored research involving human participants. The authors developed and deployed, at two time points, a web-based survey on nine indicators of research activities with response choices reflecting the transtheoretical model of stages of behavior change. Librarians with research experience or membership in the Medical Library Association Research Section reported higher levels of having completed indicators. Our results suggest that creating awareness in precontemplation responders could encourage skill development. Mentoring and continuing education could support librarians who are contemplating or preparing to perform indicator activities.

  1. Readiness for banking technologies in developing countries

    African Journals Online (AJOL)

    Professor in the Department of Marketing Management, University of Johannesburg. ... From the organisation's perspective, it has been suggested ... technological readiness of developing countries' consumers, in an urban environment,.

  2. Addressing scale in open pace preservation: learning from the Hague region in the Netherlands

    NARCIS (Netherlands)

    Westerink - Petersen, J.; Padt, F.J.G.

    2012-01-01

    Landscapes can be understood as the dynamic interplay between biophysical, social, policy and political processes. The ‘politics of scale’ approach is a promising approach to study these dynamics. Biophysical processes are often excluded from the politics of scale however. This study seeks to follow

  3. Irreversible Wash Aid Additive for Cesium Mitigation. Small-Scale Demonstration and Lessons Learned

    Energy Technology Data Exchange (ETDEWEB)

    Kaminski, Michael [Argonne National Lab. (ANL), Argonne, IL (United States)

    2015-01-01

    The Irreversible Wash Aid Additive process has been under development by the U.S. Environmental Protection Agency (EPA) and Argonne National Laboratory (Argonne). This process for radioactive cesium mitigation consists of a solution to wash down contaminated structures, roadways, and vehicles and a sequestering agent to bind the radionuclides from the wash water and render them environmentally immobile. The purpose of this process is to restore functionality to basic services and immediately reduce the consequences of a radiologically-contaminated urban environment. Research and development have resulted in a down-selection of technologies for integration and demonstration at the pilot-scale level as part of the Wide Area Recovery and Resiliency Program (WARRP) under the Department of Homeland Security and the Denver Urban Area Security Initiative. As part of developing the methods for performing a pilot-scale demonstration at the WARRP conference in Denver in 2012, Argonne conducted small-scale field experiments at Separmatic Systems. The main purpose of these experiments was to refine the wash water collection and separations systems and demonstrate key unit operations to help in planning for the large scale demonstration in Denver. Since the purpose of these tests was to demonstrate the operations of the system, we used no radioactive materials. After a brief set of experiments with the LAKOS unit to familiarize ourselves with its operation, two experiments were completed on two separate dates with the Separmatic systems.

  4. Predicting Pilot Behavior in Medium Scale Scenarios Using Game Theory and Reinforcement Learning

    Science.gov (United States)

    Yildiz, Yildiray; Agogino, Adrian; Brat, Guillaume

    2013-01-01

    Effective automation is critical in achieving the capacity and safety goals of the Next Generation Air Traffic System. Unfortunately creating integration and validation tools for such automation is difficult as the interactions between automation and their human counterparts is complex and unpredictable. This validation becomes even more difficult as we integrate wide-reaching technologies that affect the behavior of different decision makers in the system such as pilots, controllers and airlines. While overt short-term behavior changes can be explicitly modeled with traditional agent modeling systems, subtle behavior changes caused by the integration of new technologies may snowball into larger problems and be very hard to detect. To overcome these obstacles, we show how integration of new technologies can be validated by learning behavior models based on goals. In this framework, human participants are not modeled explicitly. Instead, their goals are modeled and through reinforcement learning their actions are predicted. The main advantage to this approach is that modeling is done within the context of the entire system allowing for accurate modeling of all participants as they interact as a whole. In addition such an approach allows for efficient trade studies and feasibility testing on a wide range of automation scenarios. The goal of this paper is to test that such an approach is feasible. To do this we implement this approach using a simple discrete-state learning system on a scenario where 50 aircraft need to self-navigate using Automatic Dependent Surveillance-Broadcast (ADS-B) information. In this scenario, we show how the approach can be used to predict the ability of pilots to adequately balance aircraft separation and fly efficient paths. We present results with several levels of complexity and airspace congestion.

  5. Scaling-up voluntary medical male circumcision - what have we learned?

    Science.gov (United States)

    Ledikwe, Jenny H; Nyanga, Robert O; Hagon, Jaclyn; Grignon, Jessica S; Mpofu, Mulamuli; Semo, Bazghina-Werq

    2014-01-01

    In 2007, the World Health Organization (WHO) and the joint United Nations agency program on HIV/AIDS (UNAIDS) recommended voluntary medical male circumcision (VMMC) as an add-on strategy for HIV prevention. Fourteen priority countries were tasked with scaling-up VMMC services to 80% of HIV-negative men aged 15-49 years by 2016, representing a combined target of 20 million circumcisions. By December 2012, approximately 3 million procedures had been conducted. Within the following year, there was marked improvement in the pace of the scale-up. During 2013, the total number of circumcisions performed nearly doubled, with approximately 6 million total circumcisions conducted by the end of the year, reaching 30% of the initial target. The purpose of this review article was to apply a systems thinking approach, using the WHO health systems building blocks as a framework to examine the factors influencing the scale-up of the VMMC programs from 2008-2013. Facilitators that accelerated the VMMC program scale-up included: country ownership; sustained political will; service delivery efficiencies, such as task shifting and task sharing; use of outreach and mobile services; disposable, prepackaged VMMC kits; external funding; and a standardized set of indicators for VMMC. A low demand for the procedure has been a major barrier to achieving circumcision targets, while weak supply chain management systems and the lack of adequate financial resources with a heavy reliance on donor support have also adversely affected scale-up. Health systems strengthening initiatives and innovations have progressively improved VMMC service delivery, but an understanding of the contextual barriers and the facilitators of demand for the procedure is critical in reaching targets. There is a need for countries implementing VMMC programs to share their experiences more frequently to identify and to enhance best practices by other programs.

  6. Earth Systems Field Work: Service Learning at Local and Global Scales

    Science.gov (United States)

    Moore, A.; Derry, L. A.

    2016-12-01

    The Earth & Environmental Systems (EES) Field Program engages students in hands-on exploration along the boundaries of the living earth, solid earth, ocean, and atmosphere. Based on Hawaíi Island, the semester-length program integrates scientific study with environmental stewardship and service learning. Each year EES students contribute 3000 hours of service to their host community. Throughout the semester students engage in different service activities. Most courses includes a service component - for example - study of the role of invasive species in native ecosystems includes an invasive species removal project. Each student completes a 4-week service internship with a local school, NGO, state or federal agency. Finally, the student group works to offset the carbon footprint of the program in collaboration with local conservation projects. This effort sequesters CO2 emissions while at the same time contributing to reforestation of degraded native ecosystems. Students learn that expertise is not confined to "the academy," and that wisdom and inspiration can be found in unexpected venues. Much of the service learning in the EES Program occurs in collaboration with local partners. Service internships require students to identify a partner and to design a tractable project. Students work daily with their sponsor and make a formal presentation of their project at the end of the internship period. This includes speaking to a non-technical community gathering as well as to a scientific audience. For many students the opportunity to work on a real problem, of interest in the real world, is a highlight of the semester. Beyond working in support of local community groups, the EES Prograḿs C-neutral project engages students with work in service to the global commons. Here the outcome is not measurable within the time frame of a semester, yet the intangible result makes the experience even more powerful. Students take responsibility for an important issue that is not

  7. Ready or Not...? Teen Sexuality and the Troubling Discourse of Readiness

    Science.gov (United States)

    Ashcraft, Catherine

    2006-01-01

    In this article, I explore how talk about being "ready" or "not ready" for sex shapes teen and adult understandings of sexuality. I argue that this "discourse of readiness" poses serious threats to teens' identity development, sexual decision making, and educators efforts to help them through these processes. To illustrate, I draw from my…

  8. National scale-up of integrated community case management in rural Ethiopia: implementation and early lessons learned.

    Science.gov (United States)

    2014-10-01

    Although under-five mortality in Ethiopia has decreased 67% in the past two decades, many, children still die from preventable or treatable conditions, mainly pneumonia, newborn problems, diarrhea, malaria and malnutrition. Most of these deaths can be avoided with timely and appropriate care, but access to and use of treatment remains inadequate. Community health workers, appropriately trained, supervised, and supplied with essen- tial equipment and medicines, can deliver case management or referral to most sick children. In 2010, Ethiopia added pneumonia to diarrhea, malaria and severe acute malnutrition, targeted for treatment in the integrated community case management (iCCM) strategy. This article describes the national scale-up of iCCM implementation and early lessons learned. We reviewed data related to iCCM program inputs and processes from reports, minutes, and related documents from January 2010 through July 2013. We describe introduction and scale-up through eight health system components. The government and partners trained and supplied 27,116 of the total 32,000 Health Extension Workers and mentored 80% of them to deliver iCCM services to over one million children. The government led a strong-iCCM partnership that attracted development partners in implementation, monitoring, evaluation, and research. Service utilization and weak supply chain remain-major challenges. Strong MOH leadership, policy support, and national partnerships helped successful national iCCM scale-up and should help settle remaining challenges.

  9. Work-readiness skills in the Fasset Sector

    Directory of Open Access Journals (Sweden)

    Melandi Raftopoulos

    2009-09-01

    Full Text Available The objective of the study was to determine the work -readiness skills that are regarded as important by employers and graduates in the Fasset Sector of South Africa. A cross-sectional survey design was  used  to  achieve  this  objective.  Two  convenience  samples, namely  24  employers  and  333 graduates, completed  the Work Readiness Skills Scale. This scale was validated as a one-factor model with  an  alpha  coeffcient of  0.88. Oral  and written  communication,  self-discipline,  time management, interpersonal skills and teamwork, problem-solving skills and positive work ethic were rated as important skills for securing employment in this sector by employers and graduates alike. In addition, employers valued numeracy skills and motivation, whereas graduates regarded confidence and  leadership skills as  important. The results have implications for the curriculum design of the Fasset Work Readiness Programme presented to graduates in this industry.

  10. Learning visual balance from large-scale datasets of aesthetically highly rated images

    Science.gov (United States)

    Jahanian, Ali; Vishwanathan, S. V. N.; Allebach, Jan P.

    2015-03-01

    The concept of visual balance is innate for humans, and influences how we perceive visual aesthetics and cognize harmony. Although visual balance is a vital principle of design and taught in schools of designs, it is barely quantified. On the other hand, with emergence of automantic/semi-automatic visual designs for self-publishing, learning visual balance and computationally modeling it, may escalate aesthetics of such designs. In this paper, we present how questing for understanding visual balance inspired us to revisit one of the well-known theories in visual arts, the so called theory of "visual rightness", elucidated by Arnheim. We define Arnheim's hypothesis as a design mining problem with the goal of learning visual balance from work of professionals. We collected a dataset of 120K images that are aesthetically highly rated, from a professional photography website. We then computed factors that contribute to visual balance based on the notion of visual saliency. We fitted a mixture of Gaussians to the saliency maps of the images, and obtained the hotspots of the images. Our inferred Gaussians align with Arnheim's hotspots, and confirm his theory. Moreover, the results support the viability of the center of mass, symmetry, as well as the Rule of Thirds in our dataset.

  11. iLab 20M: A Large-scale Controlled Object Dataset to Investigate Deep Learning

    Science.gov (United States)

    2016-07-01

    models to be tolerant to identity - preserving image variations (e.g., variation in position, scale, pose, illumination, occlusion). To probe this, some...regular- izer and adopted it for CNNs. Another classic example is Siamese Networks [5] which are two identical copies of the same network, with the same...holds a camera (Microsoft LifeCam Cinema , 1280×720, YUYV) which can be placed and oriented at any location and pose reachable by the arm. A second arm

  12. Predictors and outcomes of postpartum mothers' perceptions of readiness for discharge after birth.

    Science.gov (United States)

    Weiss, Marianne E; Lokken, Lisa

    2009-01-01

    To identify predictors and outcomes of postpartum mothers' perceptions of their readiness for hospital discharge. A correlational design with path analyses was used to explore predictive relationships among transition theory-related variables. Midwestern tertiary perinatal center. One hundred and forty-one mixed-parity postpartum mothers who had experienced vaginal birth or Cesarean delivery of normal healthy infants. Before hospital discharge, patients completed questionnaires about sociodemographic characteristics, hospitalization factors, quality of discharge teaching, and readiness for discharge. Three weeks postdischarge, mothers were contacted by telephone to collect coping difficulty and health care utilization data. Readiness for Hospital Discharge Scale, Post-Discharge Coping Difficulty Scale, Utilization of postdischarge services. Quality of discharge teaching, specifically the relative difference in the amount of informational content needed and received and the skills of nurses in delivering discharge teaching, explained 38% of the variance in postpartum mothers' perceptions of discharge readiness. Readiness for discharge scores explained 22% of the variance in postdischarge coping difficulty scores. Nurses' skills in delivery of discharge teaching, coping difficulty, patient characteristics, and birth hospitalization factors were predictive of utilization of family support and postdischarge health care services. A trajectory of influence was evident in the sequential relationships of quality of discharge teaching, readiness for discharge, postdischarge coping, and utilization of family support and health care services. Transitions theory provided a useful framework for conceptualizing and investigating the transition home after childbirth.

  13. Genome-scale identification of Legionella pneumophila effectors using a machine learning approach.

    Directory of Open Access Journals (Sweden)

    David Burstein

    2009-07-01

    Full Text Available A large number of highly pathogenic bacteria utilize secretion systems to translocate effector proteins into host cells. Using these effectors, the bacteria subvert host cell processes during infection. Legionella pneumophila translocates effectors via the Icm/Dot type-IV secretion system and to date, approximately 100 effectors have been identified by various experimental and computational techniques. Effector identification is a critical first step towards the understanding of the pathogenesis system in L. pneumophila as well as in other bacterial pathogens. Here, we formulate the task of effector identification as a classification problem: each L. pneumophila open reading frame (ORF was classified as either effector or not. We computationally defined a set of features that best distinguish effectors from non-effectors. These features cover a wide range of characteristics including taxonomical dispersion, regulatory data, genomic organization, similarity to eukaryotic proteomes and more. Machine learning algorithms utilizing these features were then applied to classify all the ORFs within the L. pneumophila genome. Using this approach we were able to predict and experimentally validate 40 new effectors, reaching a success rate of above 90%. Increasing the number of validated effectors to around 140, we were able to gain novel insights into their characteristics. Effectors were found to have low G+C content, supporting the hypothesis that a large number of effectors originate via horizontal gene transfer, probably from their protozoan host. In addition, effectors were found to cluster in specific genomic regions. Finally, we were able to provide a novel description of the C-terminal translocation signal required for effector translocation by the Icm/Dot secretion system. To conclude, we have discovered 40 novel L. pneumophila effectors, predicted over a hundred additional highly probable effectors, and shown the applicability of machine

  14. The Readiness is All: Here Am I. Send Me.

    Directory of Open Access Journals (Sweden)

    Janet Tipton Hindman

    2016-06-01

    Full Text Available The article uses contextual biography to examine the psychological and existential dimensions of “an internal environment that interacts with the other contexts in which the [author] evolves (Vidal, F., 2003, p. 73. Through a network of enterprises (Gruber, 1980 as a key aspect of that internal environment, this contextual autobiography conceptualizes a slice of the author’s life through the integration of particular literary and life contexts and her position within these background experiences. By using a unique and creative narrative of personal experiences, the author posits the universal or ontological problem of understanding the “all” of readiness for one of Shakespeare’s central characters with the juxtaposition of her own life as undertaken through the literary contexts examined. A catastrophic spinal injury coupled with the loss of her beloved father serve as prime catalysts for extreme life changes for the author creating questions of self-doubt and self-awareness, and whether the readiness for her was indeed, all. The article purposively adds to our understanding of how the internal environment and network of enterprises within an individual’s life experiences juxtaposed with literary contexts may profoundly inspire others to live unique lives of action and readiness.  Findings of the study present the participant’s joyful journey of discovery and personal renewal with the most important lesson learned being that education is the ticket to a life of freedom and personal success.

  15. Universal School Readiness Screening at Kindergarten Entry

    Science.gov (United States)

    Quirk, Matthew; Dowdy, Erin; Dever, Bridget; Carnazzo, Katherine; Bolton, Courtney

    2018-01-01

    Researchers examined the concurrent and predictive validity of a brief (12-item) teacher-rated school readiness screener, the Kindergarten Student Entrance Profile (KSEP), using receiver operating characteristic (ROC) curve analysis to examine associations between (N = 78) children's social-emotional (SE) and cognitive (COG) readiness with…

  16. Overview: Texas College and Career Readiness Standards

    Science.gov (United States)

    Texas Higher Education Coordinating Board, 2009

    2009-01-01

    The Texas College and Career Readiness Standards define what students should know and be able to accomplish in order to succeed in entry-level college courses or skilled workforce opportunities upon graduation from high school. This paper answers the following questions: (1) Who developed the Texas College and Career Readiness Standards?; (2) What…

  17. Understanding Early Educators' Readiness to Change

    Science.gov (United States)

    Peterson, Shira M.

    2012-01-01

    Researchers in the fields of humanistic psychology, counseling, organizational change, and implementation science have been asking a question that is at the heart of today's early care and education quality improvement efforts: When it comes to changing one's behavior, what makes a person ready to change? Although the concept of readiness to…

  18. Are female students in general and nursing students more ready for teamwork and interprofessional collaboration in healthcare?

    Directory of Open Access Journals (Sweden)

    Timpka Toomas

    2011-04-01

    Full Text Available Abstract Background Interprofessional Education (IPE is now spreading worldwide and many universities are now including IPE in their curricula. The aim of this study was to investigate whether or not such student characteristics as gender, previous working experience in healthcare, educational progress and features of the learning environment, such as educational programmes and curriculum design, have an impact on their open-mindedness about co-operation with other professions. Methods Medical and nursing students at two Swedish universities were invited to fill in the Readiness for Interprofessional Learning Scale (RIPLS. Totally, 955 students were invited and 70.2% (n = 670 participated in the study. A factor analysis of the RIPLS revealed four item groupings (factors for our empirical data, but only one had sufficient internal consistency. This factor was labelled "Team Player". Results Regardless of the educational programme, female students were more positive to teamwork than male students. Nursing students in general displayed more positive beliefs about teamwork and collaboration than medical students. Exposure to different interprofessional curricula and previous exposure to interprofessional education were only to a minor extent associated with a positive attitude towards teamwork. Educational progress did not seem to influence these beliefs. Conclusions The establishment of interprofessional teamwork is a major challenge for modern healthcare. This study indicates some directions for more successful interprofessional education. Efforts should be directed at informing particularly male medical students about the need for teamwork in modern healthcare systems. The results also imply that study of other factors, such as the student's personality, is needed for fully understanding readiness for teamwork and interprofessional collaboration in healthcare. We also believe that the RIPL Scale still can be further adjusted.

  19. Are female students in general and nursing students more ready for teamwork and interprofessional collaboration in healthcare?

    Science.gov (United States)

    Wilhelmsson, Margaretha; Ponzer, Sari; Dahlgren, Lars-Ove; Timpka, Toomas; Faresjö, Tomas

    2011-04-21

    Interprofessional Education (IPE) is now spreading worldwide and many universities are now including IPE in their curricula. The aim of this study was to investigate whether or not such student characteristics as gender, previous working experience in healthcare, educational progress and features of the learning environment, such as educational programmes and curriculum design, have an impact on their open-mindedness about co-operation with other professions. Medical and nursing students at two Swedish universities were invited to fill in the Readiness for Interprofessional Learning Scale (RIPLS). Totally, 955 students were invited and 70.2% (n=670) participated in the study. A factor analysis of the RIPLS revealed four item groupings (factors) for our empirical data, but only one had sufficient internal consistency. This factor was labelled "Team Player". Regardless of the educational programme, female students were more positive to teamwork than male students. Nursing students in general displayed more positive beliefs about teamwork and collaboration than medical students. Exposure to different interprofessional curricula and previous exposure to interprofessional education were only to a minor extent associated with a positive attitude towards teamwork. Educational progress did not seem to influence these beliefs. The establishment of interprofessional teamwork is a major challenge for modern healthcare. This study indicates some directions for more successful interprofessional education. Efforts should be directed at informing particularly male medical students about the need for teamwork in modern healthcare systems. The results also imply that study of other factors, such as the student's personality, is needed for fully understanding readiness for teamwork and interprofessional collaboration in healthcare. We also believe that the RIPL Scale still can be further adjusted.

  20. Advancing the large-scale CCS database for metabolomics and lipidomics at the machine-learning era.

    Science.gov (United States)

    Zhou, Zhiwei; Tu, Jia; Zhu, Zheng-Jiang

    2018-02-01

    Metabolomics and lipidomics aim to comprehensively measure the dynamic changes of all metabolites and lipids that are present in biological systems. The use of ion mobility-mass spectrometry (IM-MS) for metabolomics and lipidomics has facilitated the separation and the identification of metabolites and lipids in complex biological samples. The collision cross-section (CCS) value derived from IM-MS is a valuable physiochemical property for the unambiguous identification of metabolites and lipids. However, CCS values obtained from experimental measurement and computational modeling are limited available, which significantly restricts the application of IM-MS. In this review, we will discuss the recently developed machine-learning based prediction approach, which could efficiently generate precise CCS databases in a large scale. We will also highlight the applications of CCS databases to support metabolomics and lipidomics. Copyright © 2017 Elsevier Ltd. All rights reserved.

  1. Lessons Learned in Deploying the World s Largest Scale Lustre File System

    Energy Technology Data Exchange (ETDEWEB)

    Dillow, David A [ORNL; Fuller, Douglas [ORNL; Wang, Feiyi [ORNL; Oral, H Sarp [ORNL; Zhang, Zhe [ORNL; Hill, Jason J [ORNL; Shipman, Galen M [ORNL

    2010-01-01

    The Spider system at the Oak Ridge National Laboratory's Leadership Computing Facility (OLCF) is the world's largest scale Lustre parallel file system. Envisioned as a shared parallel file system capable of delivering both the bandwidth and capacity requirements of the OLCF's diverse computational environment, the project had a number of ambitious goals. To support the workloads of the OLCF's diverse computational platforms, the aggregate performance and storage capacity of Spider exceed that of our previously deployed systems by a factor of 6x - 240 GB/sec, and 17x - 10 Petabytes, respectively. Furthermore, Spider supports over 26,000 clients concurrently accessing the file system, which exceeds our previously deployed systems by nearly 4x. In addition to these scalability challenges, moving to a center-wide shared file system required dramatically improved resiliency and fault-tolerance mechanisms. This paper details our efforts in designing, deploying, and operating Spider. Through a phased approach of research and development, prototyping, deployment, and transition to operations, this work has resulted in a number of insights into large-scale parallel file system architectures, from both the design and the operational perspectives. We present in this paper our solutions to issues such as network congestion, performance baselining and evaluation, file system journaling overheads, and high availability in a system with tens of thousands of components. We also discuss areas of continued challenges, such as stressed metadata performance and the need for file system quality of service alongside with our efforts to address them. Finally, operational aspects of managing a system of this scale are discussed along with real-world data and observations.

  2. Implementing a Zero Energy Ready Home Multifamily Project

    Energy Technology Data Exchange (ETDEWEB)

    Springer, David [Alliance for Residential Building Innovation, Davis, CA (United States); German, Alea [Alliance for Residential Building Innovation, Davis, CA (United States)

    2015-08-01

    An objective of this project was to gain a highly visible foothold for residential buildings built to the U.S. Department of Energy's Zero Energy Ready Home (ZERH) specification that can be used to encourage participation by other California builders. This report briefly describes two single family homes that were ZERH-certified, and focuses on the experience of working with developer Mutual Housing on a 62 unit multi-family community at the Spring Lake subdivision in Woodland, CA. The Spring Lake project is expected to be the first ZERH certified multi-family project nationwide. This report discusses challenges encountered, lessons learned, and how obstacles were overcome.

  3. Teenage employment and career readiness.

    Science.gov (United States)

    Greene, Kaylin M; Staff, Jeremy

    2012-01-01

    Most American youth hold a job at some point during adolescence, but should they work? This article presents a broad overview of teenage employment in the United States. It begins by describing which teenagers work and for how long and then focuses attention on the consequences (both good and bad) of paid work in adolescence. It then presents recent nationally representative data from the Monitoring the Future Study suggesting that limited hours of paid work do not crowd out developmentally appropriate after-school activities. A review of the literature also supports the idea that employment for limited hours in good jobs can promote career readiness and positive development. The article concludes with a discussion of the implications of youth work for practitioners and policymakers who are delivering career-related programming. Copyright © 2012 Wiley Periodicals, Inc., A Wiley Company.

  4. Systems security and functional readiness

    International Nuclear Information System (INIS)

    Bruckner, D.G.

    1988-01-01

    In Protective Programming Planning, it is important that every facility or installation be configured to support the basic functions and mission of the using organization. This paper addresses the process of identifying the key functional operations of our facilities in Europe and providing the security necessary to keep them operating in natural and man-made threat environments. Functional Readiness is important since many of our existing facilities in Europe were not constructed to meet the demands of today's requirements. There are increased requirements for real-time systems with classified terminals and stringent access control, tempest and other electronic protection devices. One must prioritize the operations of these systems so that essential functions are provided even when the facilities are affected by overt or covert hostile activities

  5. MIBS breadboard ready for testing

    Science.gov (United States)

    Leijtens, Johan; de Goeij, Bryan; Boslooper, Erik

    2017-11-01

    MIBS is a spectrometer operating in the thermal infrared wavelength region, designed in frame of the phase A study for the ESA EarthCARE mission as part of the multispectral Imaging instrument MSI, which uses a 2D microbolometer array detector in stead of the more common MCT detectors. Utilization of a microbolometer and using an integrated calibration system, results in a sensor with a size and mass reduction of at least an order of magnitude when compared to currently flying instruments with similar spectral resolution. In order to demonstrate feasiblity a breadboard has been designed, which will be build and aligned in 2006 and will be ready for testing the forth quarter of 2006.

  6. Defense Treaty Inspection Readiness Program

    International Nuclear Information System (INIS)

    Cronin, J.J.; Kohen, M.D.; Rivers, J.D.

    1996-01-01

    The Defense Treaty Inspection Readiness Program (DTIRP) was established by the Department of Defense in 1990 to assist defense facilities in preparing for treaty verification activities. Led by the On-Site Inspection Agency (OSIA), an element of the Department of Defense, DTIRP''s membership includes representatives from other Department of Defense agencies, the Department of Energy (DOE), the Central Intelligence Agency, the Federal Bureau of Investigation, the Department of Commerce, and others. The Office of Safeguards and Security has a significant interest in this program, due to the number of national defense facilities within its purview that are candidates for future inspections. As a result, the Office of Safeguards and Security has taken a very active role in DTIRP. This paper discusses the Office of Safeguards and Security''s increasing involvement in various elements of the DTIRP, ranging from facility assessments to training development and implementation

  7. Utility shopping: are consumers ready?

    International Nuclear Information System (INIS)

    Barrados, A.

    1999-01-01

    This report provides an overview of public readiness to deal with deregulation of the electric power industry , based on an analysis of public reaction to the deregulation of the transportation, telecommunications and natural gas industries which already have taken place. The report also examines the reasons why residential consumers have reason to be wary of deregulation. These include the likelihood of slow development of the intended competition, the consequent limits on consumer choices, the possibility of increased prices, decreased quality of service and erosion of social values such as affordability and accessibility. The report concludes with a number of recommendations aimed at ensuring the existence of workable competition for residential consumers, that reliable and meaningful information is available as competition in deregulated markets gets underway, that independent sources of information are widely available, and that basic consumer protection against deceptive and borderline marketing practices, a regulatory oversight mechanism and public reporting mechanisms are in place before competition begins. 33 refs

  8. The Pedagogical Readiness of Instructors towards Achieving Integration of ICT's in TVET Institutions in Kenya

    Science.gov (United States)

    Maina, Tirus Muya; Ogalo, James; Mwai, Naomi

    2016-01-01

    This paper points to the necessity to conduct research on the pedagogical readiness of instructors towards achieving integration of ICT's in Technical and Vocational Education and Training (TVET) institutions in Kenya. Research on the integration of ICTs in teaching and learning in TVET institution in Kenya have been done to improve the learning…

  9. Are you ready! To take early action? Embedding serious gaming into community managed DRR in Bangladesh

    NARCIS (Netherlands)

    Homberg, M.J.C. van den; Cumiskey, L.; Oprins, E.A.P.B.; Suarez, P.; Hulst, A.H. van der

    2015-01-01

    This paper applies a Game-based Learning Evaluation Model (GEM) to assess whether the early warning - early action serious game "Ready!" is an effective component to add to existing Disaster Risk Reduction (DRR) training curricula, facilitated by NGO staff and applied at the community level. We

  10. R.U. Ready?: Peer Education and Bystander Intervention Sexual Assault Programming

    Science.gov (United States)

    Schweer, Jen Luettel; Heather, Katie; Kay, Kathryn; Stewart, K. Leigh; Kovach, Laura

    2012-01-01

    R.U. Ready? at Georgetown University is an annual sexual assault awareness event that incorporates peer education and resources with opportunities for students, staff, and faculty to dialogue about providing bystander intervention throughout the campus community. Beyond dialogue, participants learn about student activism and the resources and…

  11. From Research to Practice: Strategies for Supporting School Readiness in Programs Serving Infants and Toddlers

    Science.gov (United States)

    Powers, Stefanie

    2012-01-01

    Fostering healthy social and emotional development provides the foundation for school readiness in programs serving infants, toddlers, and their families. In this article, the author explores four key concepts that make the link between social and emotional development and early learning: 1) Cognitive and social-emotional development are…

  12. Large scale deep learning for computer aided detection of mammographic lesions.

    Science.gov (United States)

    Kooi, Thijs; Litjens, Geert; van Ginneken, Bram; Gubern-Mérida, Albert; Sánchez, Clara I; Mann, Ritse; den Heeten, Ard; Karssemeijer, Nico

    2017-01-01

    Recent advances in machine learning yielded new techniques to train deep neural networks, which resulted in highly successful applications in many pattern recognition tasks such as object detection and speech recognition. In this paper we provide a head-to-head comparison between a state-of-the art in mammography CAD system, relying on a manually designed feature set and a Convolutional Neural Network (CNN), aiming for a system that can ultimately read mammograms independently. Both systems are trained on a large data set of around 45,000 images and results show the CNN outperforms the traditional CAD system at low sensitivity and performs comparable at high sensitivity. We subsequently investigate to what extent features such as location and patient information and commonly used manual features can still complement the network and see improvements at high specificity over the CNN especially with location and context features, which contain information not available to the CNN. Additionally, a reader study was performed, where the network was compared to certified screening radiologists on a patch level and we found no significant difference between the network and the readers. Copyright © 2016 Elsevier B.V. All rights reserved.

  13. To address surface reaction network complexity using scaling relations machine learning and DFT calculations

    International Nuclear Information System (INIS)

    Ulissi, Zachary W.; Medford, Andrew J.; Bligaard, Thomas; Nørskov, Jens K.

    2017-01-01

    Surface reaction networks involving hydrocarbons exhibit enormous complexity with thousands of species and reactions for all but the very simplest of chemistries. We present a framework for optimization under uncertainty for heterogeneous catalysis reaction networks using surrogate models that are trained on the fly. The surrogate model is constructed by teaching a Gaussian process adsorption energies based on group additivity fingerprints, combined with transition-state scaling relations and a simple classifier for determining the rate-limiting step. The surrogate model is iteratively used to predict the most important reaction step to be calculated explicitly with computationally demanding electronic structure theory. Applying these methods to the reaction of syngas on rhodium(111), we identify the most likely reaction mechanism. Lastly, propagating uncertainty throughout this process yields the likelihood that the final mechanism is complete given measurements on only a subset of the entire network and uncertainty in the underlying density functional theory calculations.

  14. Learning to Voice? The Evolving Roles of Family Farmers in the Coordination of Large-Scale Irrigation Schemes in Morocco

    Directory of Open Access Journals (Sweden)

    Nicolas Faysse

    2010-02-01

    Full Text Available In Morocco, large-scale irrigation schemes have evolved over the past twenty years from the centralised management of irrigation and agricultural production into more complex multi-actor systems. This study analysed whether, and how, in the context of state withdrawal, increased farmer autonomy and political liberalisation, family farmers currently participate in the coordination and negotiation of issues that affect them and involve scheme-level organisations. Issues related to water management, the sugar industry and the dairy sector were analysed in five large-scale irrigation schemes. Farmer organisations that were set up to intervene in water management and sugar production were seen to be either inactive or to have weak links with their constituency; hence, the irrigation administration and the sugar industry continue to interact directly with farmers in a centralised way. Given their inability to voice their interests, when farmers have the opportunity, many choose exit strategies, for instance by resorting to the use of groundwater. In contrast, many community-based milk collection cooperatives were seen to function as accountable intermediaries between smallholders and dairy firms. While, as in the past, family farmers are still generally not involved in decision making at scheme level, in the milk collection cooperatives studied, farmers learn to coordinate and negotiate for the development of their communities.

  15. RDF technology development: from R and D to commercial scale - lessons learned

    International Nuclear Information System (INIS)

    Muhd Noor Muhd Yunus

    2006-01-01

    Malaysia is still negotiating for the best strategies to manage her 17,000 ton/day MSW in the best manner - politically, economically and environmentally. A National Solid Waste Strategic Plan has been established since 2003, advocating and adopting the Integrated Solid Waste Management System (IWMS). Recently, MINT launched the Waste to Wealth (W2W) blue print to spearhead the idea at National level, of treating waste as resource, thus could be translated to a profitable venture. In this respect, MINT role is very much focused to technology development. However, choosing the right mix of the waste management hierarchy, and thus technology, is not simple. We believed that, a technology that embraced all aspect of waste hierarchy and meet the Best Available Technology Not Entailing Excessive Cost (BATNEEC) or Best Available Technology Suiting Socio Economic Standing (BATSSES) concept will give good promise, thus certainly answers the above cry. In the above pursuit, we developed a commercial and R and D strategies concurrently to arrive at the best compromise. The technology selected, based on RDF, was not a rocket science but innovatively developed to match the waste characteristics, local cultures and social habit, national industrial strength and business opportunities, commercial packaging and institutional support at all levels - politically, socially, commercially, technically and even among government officials. The success of the project lies also in the trusts developed between the government organization conducting R and D and the private sector as the main technology developer, which transcends beyond the normal project contract agreement-manifesting the success of smart partnership model. This paper will share some success, challenges and experience, and lessons learned, in developing the RDF technology from the R and D stage to a full 700 t/day commercial plant in Semenyih, Malaysia. Also highlighted is the impact of this project on the current thinking

  16. Deep learning-based subdivision approach for large scale macromolecules structure recovery from electron cryo tomograms.

    Science.gov (United States)

    Xu, Min; Chai, Xiaoqi; Muthakana, Hariank; Liang, Xiaodan; Yang, Ge; Zeev-Ben-Mordehai, Tzviya; Xing, Eric P

    2017-07-15

    Cellular Electron CryoTomography (CECT) enables 3D visualization of cellular organization at near-native state and in sub-molecular resolution, making it a powerful tool for analyzing structures of macromolecular complexes and their spatial organizations inside single cells. However, high degree of structural complexity together with practical imaging limitations makes the systematic de novo discovery of structures within cells challenging. It would likely require averaging and classifying millions of subtomograms potentially containing hundreds of highly heterogeneous structural classes. Although it is no longer difficult to acquire CECT data containing such amount of subtomograms due to advances in data acquisition automation, existing computational approaches have very limited scalability or discrimination ability, making them incapable of processing such amount of data. To complement existing approaches, in this article we propose a new approach for subdividing subtomograms into smaller but relatively homogeneous subsets. The structures in these subsets can then be separately recovered using existing computation intensive methods. Our approach is based on supervised structural feature extraction using deep learning, in combination with unsupervised clustering and reference-free classification. Our experiments show that, compared with existing unsupervised rotation invariant feature and pose-normalization based approaches, our new approach achieves significant improvements in both discrimination ability and scalability. More importantly, our new approach is able to discover new structural classes and recover structures that do not exist in training data. Source code freely available at http://www.cs.cmu.edu/∼mxu1/software . mxu1@cs.cmu.edu. Supplementary data are available at Bioinformatics online. © The Author 2017. Published by Oxford University Press. All rights reserved. For Permissions, please e-mail: journals.permissions@oup.com

  17. Readiness for hospital discharge: A concept analysis.

    Science.gov (United States)

    Galvin, Eileen Catherine; Wills, Teresa; Coffey, Alice

    2017-11-01

    To report on an analysis on the concept of 'readiness for hospital discharge'. No uniform operational definition of 'readiness for hospital discharge' exists in the literature; therefore, a concept analysis is required to clarify the concept and identify an up-to-date understanding of readiness for hospital discharge. Clarity of the concept will identify all uses of the concept; provide conceptual clarity, an operational definition and direction for further research. Literature review and concept analysis. A review of literature was conducted in 2016. Databases searched were: Academic Search Complete, CINAHL Plus with Full Text, PsycARTICLES, Psychology and Behavioural Sciences Collection, PsycINFO, Social Sciences Full Text (H.W. Wilson) and SocINDEX with Full Text. No date limits were applied. Identification of the attributes, antecedents and consequences of readiness for hospital discharge led to an operational definition of the concept. The following attributes belonging to 'readiness for hospital discharge' were extracted from the literature: physical stability, adequate support, psychological ability, and adequate information and knowledge. This analysis contributes to the advancement of knowledge in the area of hospital discharge, by proposing an operational definition of readiness for hospital discharge, derived from the literature. A better understanding of the phenomenon will assist healthcare professionals to recognize, measure and implement interventions where necessary, to ensure patients are ready for hospital discharge and assist in the advancement of knowledge for all professionals involved in patient discharge from hospital. © 2017 John Wiley & Sons Ltd.

  18. Maintenance-Ready Web Application Development

    Directory of Open Access Journals (Sweden)

    Ion IVAN

    2016-01-01

    Full Text Available The current paper tackles the subject of developing maintenance-ready web applications. Maintenance is presented as a core stage in a web application’s lifecycle. The concept of maintenance-ready is defined in the context of web application development. Web application maintenance tasks types are enunciated and suitable task types are identified for further analysis. The research hypothesis is formulated based on a direct link between tackling maintenance in the development stage and reducing overall maintenance costs. A live maintenance-ready web application is presented and maintenance related aspects are highlighted. The web application’s features, that render it maintenance-ready, are emphasize. The cost of designing and building the web-application to be maintenance-ready are disclosed. The savings in maintenance development effort facilitated by maintenance ready features are also disclosed. Maintenance data is collected from 40 projects implemented by a web development company. Homogeneity and diversity of collected data is evaluated. A data sample is presented and the size and comprehensive nature of the entire dataset is depicted. Research hypothesis are validated and conclusions are formulated on the topic of developing maintenance-ready web applications. The limits of the research process which represented the basis for the current paper are enunciated. Future research topics are submitted for debate.

  19. Community-Wide Zero Energy Ready Home Standard

    Energy Technology Data Exchange (ETDEWEB)

    Herk, A. [IBACOS, Inc., Pittsburght, PA (United States); Beggs, T. [IBACOS, Inc., Pittsburght, PA (United States)

    2016-02-05

    This report outlines the steps a developer can use when looking to create and implement higher performance standards such as the U.S. Department of Energy (DOE) Zero Energy Ready Home (ZERH) standards in a community. The report also describes the specific examples of how this process was followed by a developer, Forest City, in the Stapleton community in Denver, Colorado. IBACOS described the steps used to begin to bring the DOE ZERH standard to the Forest City Stapleton community based on 15 years of community-scale development work done by IBACOS. As a result of this prior IBACOS work, the team gained an understanding of the various components that a master developer needs to consider and created strategies for incorporating those components in the initial phases of development to achieve higher performance buildings in the community. An automated scoring system can be used to perform an internal audit that provides a detailed and consistent evaluation of how several homes under construction or builders' floor plans compare with the requirements of the DOE Zero Energy Ready Home program. This audit can be performed multiple times at specific milestones during construction to allow the builder to make changes as needed throughout construction for the project to meet Zero Energy Ready Home standards. This scoring system also can be used to analyze a builder's current construction practices and design.

  20. A theory of organizational readiness for change

    Directory of Open Access Journals (Sweden)

    Weiner Bryan J

    2009-10-01

    Full Text Available Abstract Background Change management experts have emphasized the importance of establishing organizational readiness for change and recommended various strategies for creating it. Although the advice seems reasonable, the scientific basis for it is limited. Unlike individual readiness for change, organizational readiness for change has not been subject to extensive theoretical development or empirical study. In this article, I conceptually define organizational readiness for change and develop a theory of its determinants and outcomes. I focus on the organizational level of analysis because many promising approaches to improving healthcare delivery entail collective behavior change in the form of systems redesign--that is, multiple, simultaneous changes in staffing, work flow, decision making, communication, and reward systems. Discussion Organizational readiness for change is a multi-level, multi-faceted construct. As an organization-level construct, readiness for change refers to organizational members' shared resolve to implement a change (change commitment and shared belief in their collective capability to do so (change efficacy. Organizational readiness for change varies as a function of how much organizational members value the change and how favorably they appraise three key determinants of implementation capability: task demands, resource availability, and situational factors. When organizational readiness for change is high, organizational members are more likely to initiate change, exert greater effort, exhibit greater persistence, and display more cooperative behavior. The result is more effective implementation. Summary The theory described in this article treats organizational readiness as a shared psychological state in which organizational members feel committed to implementing an organizational change and confident in their collective abilities to do so. This way of thinking about organizational readiness is best suited for

  1. Opportunistic Computing with Lobster: Lessons Learned from Scaling up to 25k Non-Dedicated Cores

    Science.gov (United States)

    Wolf, Matthias; Woodard, Anna; Li, Wenzhao; Hurtado Anampa, Kenyi; Yannakopoulos, Anna; Tovar, Benjamin; Donnelly, Patrick; Brenner, Paul; Lannon, Kevin; Hildreth, Mike; Thain, Douglas

    2017-10-01

    We previously described Lobster, a workflow management tool for exploiting volatile opportunistic computing resources for computation in HEP. We will discuss the various challenges that have been encountered while scaling up the simultaneous CPU core utilization and the software improvements required to overcome these challenges. Categories: Workflows can now be divided into categories based on their required system resources. This allows the batch queueing system to optimize assignment of tasks to nodes with the appropriate capabilities. Within each category, limits can be specified for the number of running jobs to regulate the utilization of communication bandwidth. System resource specifications for a task category can now be modified while a project is running, avoiding the need to restart the project if resource requirements differ from the initial estimates. Lobster now implements time limits on each task category to voluntarily terminate tasks. This allows partially completed work to be recovered. Workflow dependency specification: One workflow often requires data from other workflows as input. Rather than waiting for earlier workflows to be completed before beginning later ones, Lobster now allows dependent tasks to begin as soon as sufficient input data has accumulated. Resource monitoring: Lobster utilizes a new capability in Work Queue to monitor the system resources each task requires in order to identify bottlenecks and optimally assign tasks. The capability of the Lobster opportunistic workflow management system for HEP computation has been significantly increased. We have demonstrated efficient utilization of 25 000 non-dedicated cores and achieved a data input rate of 30 Gb/s and an output rate of 500GB/h. This has required new capabilities in task categorization, workflow dependency specification, and resource monitoring.

  2. Translating the Science of Measuring Ecosystems at a National Scale: Developing NEON's Online Learning Portal

    Science.gov (United States)

    Wasser, L. A.; Gram, W.; Goehring, L.

    2014-12-01

    "Big Data" are becoming increasingly common in many fields. The National Ecological Observatory Network (NEON) will be collecting data over the 30 years, using consistent, standardized methods across the United States. These freely available new data provide an opportunity for increased understanding of continental- and global scale processes such as changes in vegetation structure and condition, biodiversity and landuse. However, while "big data" are becoming more accessible and available, integrating big data into the university courses is challenging. New and potentially unfamiliar data types and associated processing methods, required to work with a growing diversity of available data, may warrant time and resources that present a barrier to classroom integration. Analysis of these big datasets may further present a challenge given large file sizes, and uncertainty regarding best methods to properly statistically summarize and analyze results. Finally, teaching resources, in the form of demonstrative illustrations, and other supporting media that might help teach key data concepts, take time to find and more time to develop. Available resources are often spread widely across multi-online spaces. This presentation will overview the development of NEON's collaborative University-focused online education portal. Portal content will include 1) videos and supporting graphics that explain key concepts related to NEON data products including collection methods, key metadata to consider and consideration of potential error and uncertainty surrounding data analysis; and 2) packaged "lab" activities that include supporting data to be used in an ecology, biology or earth science classroom. To facilitate broad use in classrooms, lab activities will take advantage of freely and commonly available processing tools, techniques and scripts. All NEON materials are being developed in collaboration with existing labs and organizations.

  3. Lessons learned from full-scale vibration tests on nuclear power plant auxiliary structure in Switzerland

    International Nuclear Information System (INIS)

    Berger, E.; Tinic, S.

    1988-01-01

    The Beznau Nuclear Power Plant is located in northern Switzerland. The plant is owned and operated by the Nordostschweizerische Kraftwerke AG (NOK) in Baden, Switzerland. It is a twin unit plant (2 x 350 MWe) which was designed in the early 1960's and placed into commercial operation between 1969 and 1971. In connection with a major backfit project, which will improve the safety of the plant against external events, the free-standing boric water tanks had to be relocated and were replaced by two boric water tanks in a new building (the so called BOTA-building). It enabled to plan and perform full scale vibration tests.The scope of experimental investigation was to determine the eigenfrequencies and damping values for fundamental soil-structure interaction. The vibration tests allowed identification of the important modes of the soil-structure system in the range 3 to 15 Hz. The excitation was strung enough to generate accelerations in the structure comparable to those of a small earthquake. From the comparisons of computed and measured results it is concluded that the rocking frequency can be reasonably well predicted by either Finite Element or Lumped Parameter models with springs simulating the soil-foundation stiffness, provided in the case of the latter the embedment is taken into account. The prediction of the amplitude of structural response appears to be more difficult, as shown by the differences in the mode shapes. In the frequency range 8 to 10 Hz the agreement between computed and test results was less satisfactory. The actual structural behaviour turned out to be more complex than expected and needs further investigation with the aid of more refined models for the soil-structure system

  4. Lessons learned from full-scale vibration tests on nuclear power plant auxiliary structure in Switzerland

    Energy Technology Data Exchange (ETDEWEB)

    Berger, E [Basler and Hofmann AG, Consulting Engineers, Zurich (Switzerland); Tinic, S [Nordostschweizerische Kraftwerke AG, Baden (Switzerland)

    1988-07-01

    The Beznau Nuclear Power Plant is located in northern Switzerland. The plant is owned and operated by the Nordostschweizerische Kraftwerke AG (NOK) in Baden, Switzerland. It is a twin unit plant (2 x 350 MWe) which was designed in the early 1960's and placed into commercial operation between 1969 and 1971. In connection with a major backfit project, which will improve the safety of the plant against external events, the free-standing boric water tanks had to be relocated and were replaced by two boric water tanks in a new building (the so called BOTA-building). It enabled to plan and perform full scale vibration tests.The scope of experimental investigation was to determine the eigenfrequencies and damping values for fundamental soil-structure interaction. The vibration tests allowed identification of the important modes of the soil-structure system in the range 3 to 15 Hz. The excitation was strung enough to generate accelerations in the structure comparable to those of a small earthquake. From the comparisons of computed and measured results it is concluded that the rocking frequency can be reasonably well predicted by either Finite Element or Lumped Parameter models with springs simulating the soil-foundation stiffness, provided in the case of the latter the embedment is taken into account. The prediction of the amplitude of structural response appears to be more difficult, as shown by the differences in the mode shapes. In the frequency range 8 to 10 Hz the agreement between computed and test results was less satisfactory. The actual structural behaviour turned out to be more complex than expected and needs further investigation with the aid of more refined models for the soil-structure system.

  5. Drawbacks of mangrove rehabilitation schemes: Lessons learned from the large-scale mangrove plantations

    Science.gov (United States)

    Barnuevo, Abner; Asaeda, Takashi; Sanjaya, Kelum; Kanesaka, Yoshikazu; Fortes, Miguel

    2017-11-01

    Mangrove rehabilitation programs received much attention in the past decades as a response to widespread global degradation. While the documented successes and failures of mangrove rehabilitation accomplishments were varied, the objective and scheme is common, mainly focused on planting and creating monospecific plantations. This study assessed the structural development and complexity of the large-scale plantations in the central part of Philippines and compared it with the adjacent natural stand as reference. Our study showed that planted forest in both sites had lower structural complexity than the reference natural forest. Between sites, secondary succession in the monospecific plantation in Banacon Island was inhibited as reflected by low regeneration potential, whereas recruitment and colonization of non-planted species was promoted in Olango Island. Even 60 years after the forest was created in Banacon Island, it still lacked the understory of young cohorts which together comprise the regeneration potential that can supposedly add to the structural complexity. Although a potential seed source from adjacent natural forest is available, recruitment and colonization of non-planted species did not progress. MDS analysis of tree density data showed clustering of planted forest from the natural stand. The average SIMPER dissimilarity was 79.9% and the species with highest contributions were R. stylosa (74.6%), S. alba (11.1%) and A. marina (10.6%). Within the natural forest, the same species had the highest dissimilarity contribution, whereas in the planted forest, only R. stylosa contributed the highest dissimilarity. The same trend was also revealed in the MDS ordination analysis of diameter at breast height (DBH). A one-way ANOSIM permutation test of the density and DBH showed a significant difference between the planted and natural forests. Thus, as part of silviculture management intervention, the current practices of mangrove reforestation needs to be

  6. Self-assessment and readiness for change in dysphonic patients.

    Science.gov (United States)

    Lopes, Leonardo Wanderley; Vilela, Eveline Gonçalves

    2016-07-04

    To examine whether there is an association between vocal self-assessment and readiness for change in dysphonic patients. 151 patients with vocal complaints and diagnosis of dysphonia, between 18 and 65 years of age, 47 men and 104 women treated at the voice clinic of a public institution participated in the study. Four self-assessment instruments were applied, including the Voice-Related Quality of Life (V-RQOL), the Voice Handicap Index (VHI) and the Voice Symptom Scale (VoiSS), and the use of URICA-VOICE instrument to verify the patients stage of readiness for change. All instruments were applied immediately before the start of vocal therapy. The variables were correlated and compared using inferential statistics. Most patients were in the contemplation stage (76.2%, n = 115), 22 (14.6%) were in the pre-contemplation stage and 14 (9.3%) in the action stage. There was a negative correlation between the score in URICA-VOICE and the socio-emotional domain and total score V-RQOL. There was a positive correlation between the score URICA-VOICE and full social, emotional and functional VHI, as well as between the score URICA-VOICE and full fields, limitation and emotional VoiSS. Only the social-emotional domain V-RQOL and emotional in VoiSS values showed statistically significant differences between the motivational stages. There is association between vocal self-assessment and readiness for change in dysphonic patients. Patients with major impact on quality of life in voice in V-RQOL and higher frequency of vocal symptoms mentioned in the VoiSS show greater readiness for change.

  7. Solar Ready Vets Curriculum Design

    Energy Technology Data Exchange (ETDEWEB)

    Dalstrom, Tenley

    2017-08-31

    The 5-week SRV program includes four sets of program learning goals aligned around (1) the NABCEP Entry Level body of knowledge; (2) gaining hands-on experience with solar system site analysis, design, installation, commissioning, operation, maintenance and financial considerations; (3) Safety issues unique to solar + OSHA 30; (4) Transition planning and individual support of entry into the solar industry. These goals, and the learning objectives associate with each, are pursued in parallel during the course.

  8. Engaging Underrepresented High School Students in Data Driven Storytelling: An Examination of Learning Experiences and Outcomes for a Cohort of Rising Seniors Enrolled in the Gaining Early Awareness and Readiness for Undergraduate Program (GEAR UP)

    Science.gov (United States)

    Dierker, Lisa; Ward, Nadia; Alexander, Jalen; Donate, Emmanuel

    2017-01-01

    Background: Upward trends in data-oriented careers threaten to further increase the underrepresentation of both females and individuals from racial minority groups in programs focused on data analysis and applied statistics. To begin to develop the necessary skills for a data-oriented career, project-based learning seems the most promising given…

  9. Plans for Embedding ICTs into Teaching and Learning through a Large-Scale Secondary Education Reform in the Country of Georgia

    Science.gov (United States)

    Richardson, Jayson W.; Sales, Gregory; Sentocnik, Sonja

    2015-01-01

    Integrating ICTs into international development projects is common. However, focusing on how ICTs support leading, teaching, and learning is often overlooked. This article describes a team's approach to technology integration into the design of a large-scale, five year, teacher and leader professional development project in the country of Georgia.…

  10. Self-Report Measures of the Home Learning Environment in Large Scale Research: Measurement Properties and Associations with Key Developmental Outcomes

    Science.gov (United States)

    Niklas, Frank; Nguyen, Cuc; Cloney, Daniel S.; Tayler, Collette; Adams, Raymond

    2016-01-01

    Favourable home learning environments (HLEs) support children's literacy, numeracy and social development. In large-scale research, HLE is typically measured by self-report survey, but there is little consistency between studies and many different items and latent constructs are observed. Little is known about the stability of these items and…

  11. Long-Term Stability of Scores on the Wechsler Intelligence Scale for Children-Fourth Edition in Children with Learning Disabilities

    Science.gov (United States)

    Lander, Jenny

    2010-01-01

    The present investigation explored the stability of scores on the Wechsler Intelligence Scale for Children-IV (WISC-IV) over approximately a three-year period. Previous research has suggested that some children with Learning Disabilities (LD) do not demonstrate long-term stability of intelligence. Legally, school districts are no longer required…

  12. Meter-scale Urban Land Cover Mapping for EPA EnviroAtlas Using Machine Learning and OBIA Remote Sensing Techniques

    Science.gov (United States)

    Pilant, A. N.; Baynes, J.; Dannenberg, M.; Riegel, J.; Rudder, C.; Endres, K.

    2013-12-01

    US EPA EnviroAtlas is an online collection of tools and resources that provides geospatial data, maps, research, and analysis on the relationships between nature, people, health, and the economy (http://www.epa.gov/research/enviroatlas/index.htm). Using EnviroAtlas, you can see and explore information related to the benefits (e.g., ecosystem services) that humans receive from nature, including clean air, clean and plentiful water, natural hazard mitigation, biodiversity conservation, food, fuel, and materials, recreational opportunities, and cultural and aesthetic value. EPA developed several urban land cover maps at very high spatial resolution (one-meter pixel size) for a portion of EnviroAtlas devoted to urban studies. This urban mapping effort supported analysis of relations among land cover, human health and demographics at the US Census Block Group level. Supervised classification of 2010 USDA NAIP (National Agricultural Imagery Program) digital aerial photos produced eight-class land cover maps for several cities, including Durham, NC, Portland, ME, Tampa, FL, New Bedford, MA, Pittsburgh, PA, Portland, OR, and Milwaukee, WI. Semi-automated feature extraction methods were used to classify the NAIP imagery: genetic algorithms/machine learning, random forest, and object-based image analysis (OBIA). In this presentation we describe the image processing and fuzzy accuracy assessment methods used, and report on some sustainability and ecosystem service metrics computed using this land cover as input (e.g., carbon sequestration from USFS iTREE model; health and demographics in relation to road buffer forest width). We also discuss the land cover classification schema (a modified Anderson Level 1 after the National Land Cover Data (NLCD)), and offer some observations on lessons learned. Meter-scale urban land cover in Portland, OR overlaid on NAIP aerial photo. Streets, buildings and individual trees are identifiable.

  13. Military Readiness: DODs Readiness Rebuilding Efforts May Be at Risk without a Comprehensive Plan

    Science.gov (United States)

    2016-09-01

    specific elements that are to be in strategic plans. 8Chairman of the Joint Chiefs of Staff Guide 3401D, CJCS Guide to the Chairman’s Readiness ...all its major functions and operations. DOD strategic guidance makes it clear that rebuilding readiness is a priority that supports the... readiness recovery efforts. Evaluations of the plan to monitor goals and objectives Assessments, through objective measurement and systematic

  14. Readiness for change and job satisfaction in a case of lean management application - a comparative study.

    Science.gov (United States)

    Lipińska-Grobelny, Agnieszka; Papieska, Ewelina

    2012-09-01

    This current study investigates the effect of lean management system on work attitudes of workers of two manufacturing companies. "Lean management" is a concept of work processes and human relations that determines company's productivity and profitability. Workers of two enterprises, the first one with lean production and the second one with old mass production, were compared for their readiness for change and job satisfaction (both emotional and cognitive aspect). The sample of 102 employees completed a battery of instruments such as: the Job Description Inventory by Neuberger and Allerbeck, the Job Affect Scale by Burke et al. and the Change-Readiness Scale by Kriegel and Brandt. Individuals from the lean manufacturing company were characterized by higher level of readiness for change, positive affect at work, and cognitive job satisfaction. In this approach the introduction of lean production positively affected company's human resource attitudes.

  15. Developing a water market readiness assessment framework

    Science.gov (United States)

    Wheeler, Sarah Ann; Loch, Adam; Crase, Lin; Young, Mike; Grafton, R. Quentin

    2017-09-01

    Water markets are increasingly proposed as a demand-management strategy to deal with water scarcity. Water trading arrangements, on their own, are not about setting bio-physical limits to water-use. Nevertheless, water trading that mitigates scarcity constraints can assist regulators of water resources to keep water-use within limits at the lowest possible cost, and may reduce the cost of restoring water system health. While theoretically attractive, many practitioners have, at best, only a limited understanding of the practical usefulness of markets and how they might be most appropriately deployed. Using lessons learned from jurisdictions around the world where water markets have been implemented, this study attempts to fill the existing water market development gap and provide an initial framework (the water market readiness assessment (WMRA)) to describe the policy and administrative conditions/reforms necessary to enable governments/jurisdictions to develop water trading arrangements that are efficient, equitable and within sustainable limits. Our proposed framework consists of three key steps: 1) an assessment of hydrological and institutional needs; 2) a market evaluation, including assessment of development and implementation issues; and 3) the monitoring, continuous/review and assessment of future needs; with a variety of questions needing assessment at each stage. We apply the framework to three examples: regions in Australia, the United States and Spain. These applications indicate that WMRA can provide key information for water planners to consider on the usefulness of water trading processes to better manage water scarcity; but further practical applications and tests of the framework are required to fully evaluate its effectiveness.

  16. EcoVillage: A Net Zero Energy Ready Community

    Energy Technology Data Exchange (ETDEWEB)

    Arena, L. [Consortium for Advanced Residential Buildings, Norwalk, CT (United States); Faakye, O. [Consortium for Advanced Residential Buildings, Norwalk, CT (United States)

    2015-02-01

    CARB is working with the EcoVillage co-housing community in Ithaca, New York, on their third neighborhood called the Third Residential EcoVillage Experience (TREE). This community scale project consists of 40 housing units --15 apartments and 25 single family residences. The community is pursuing certifications for DOE Zero Energy Ready Home, U.S. Green Building Council Leadership in Energy and Environmental Design Gold, and ENERGY STAR for the entire project. Additionally, seven of the 25 homes, along with the four-story apartment building and community center, are being constructed to the Passive House (PH) design standard.

  17. Information Assurance and Forensic Readiness

    Science.gov (United States)

    Pangalos, Georgios; Katos, Vasilios

    Egalitarianism and justice are amongst the core attributes of a democratic regime and should be also secured in an e-democratic setting. As such, the rise of computer related offenses pose a threat to the fundamental aspects of e-democracy and e-governance. Digital forensics are a key component for protecting and enabling the underlying (e-)democratic values and therefore forensic readiness should be considered in an e-democratic setting. This position paper commences from the observation that the density of compliance and potential litigation activities is monotonically increasing in modern organizations, as rules, legislative regulations and policies are being constantly added to the corporate environment. Forensic practices seem to be departing from the niche of law enforcement and are becoming a business function and infrastructural component, posing new challenges to the security professionals. Having no a priori knowledge on whether a security related event or corporate policy violation will lead to litigation, we advocate that computer forensics need to be applied to all investigatory, monitoring and auditing activities. This would result into an inflation of the responsibilities of the Information Security Officer. After exploring some commonalities and differences between IS audit and computer forensics, we present a list of strategic challenges the organization and, in effect, the IS security and audit practitioner will face.

  18. Electricity market readiness plan : Ontario Energy Board

    International Nuclear Information System (INIS)

    2001-03-01

    This document informs electric power market participants of the Ontario Energy Board's newly developed market readiness plan and target timelines that local distribution companies (LDCs) must meet for retail marketing. The Ontario Energy Board's plan incorporates relevant independent market operator (IMO)-administered market milestones with retail market readiness targeted for September 2001. The market readiness framework involves a self-certification process for LDCs by August 10, 2001, through which the Board will be able to monitor progress and assess the feasibility of meeting the target timelines. For retail market readiness, all LDCs will have to calculate settlement costs, produce unbundled bills, provide standard supply service, change suppliers and accommodate retail transactions. LDCs must be either authorized participants in the IMO-administered market or become retail customers of their host LDC. Unbundled bills will include itemized charges for energy price, transmission, distribution and debt retirement charge. 1 tab., 1 fig

  19. Enhancing Mental Readiness in Military Personnel

    National Research Council Canada - National Science Library

    Thompson, Megan M; McCreary, Donald R

    2006-01-01

    In this paper we explore how the psychological literature on stress and coping might inform military training programs to enhance "mental readiness" as a method to develop the baseline psychological...

  20. Some Thoughts on Systematic Reading Readiness Instruction.

    Science.gov (United States)

    Palardy, J. Michael

    1984-01-01

    Examines four specific areas of reading readiness--visual discrimination, visual memory, auditory discrimination, and auditory comprehension--and reviews teaching strategies in each of the four areas. (FL)