Adaptive polymeric system for Hebbian type learning

OpenAIRE

2011-01-01

Abstract We present the experimental realization of an adaptive polymeric system displaying a ?learning behaviour?. The system consists on a statistically organized networks of memristive elements (memory-resitors) based on polyaniline. In a such network the path followed by the current increments its conductivity, a property which makes the system able to mimic Hebbian type learning and have application in hardware neural networks. After discussing the working principle of ...

From performance measurement to learning

DEFF Research Database (Denmark)

Lewis, Jenny; Triantafillou, Peter

2012-01-01

Over the last few decades accountability has accommodated an increasing number of different political, legal and administrative goals. This article focuses on the administrative aspect of accountability and explores the potential perils of a shift from performance measurement to learning. While...... overload. We conclude with some comments on limiting the undesirable consequences of such a move. Points for practitioners Public administrators need to identify and weigh the (human, political and economic) benefits and costs of accountability regimes. While output-focused performance measurement regimes...... to comply with accountability requirements, because of the first point. Third, the costs of compliance are likely to increase because learning requires more participation and dialogue. Fourth, accountability as learning may generate a ‘change for the sake of change’ mentality, creating further government...

Measuring Cognitive Load with Electroencephalography and Self-Report: Focus on the Effect of English-Medium Learning for Korean Students

Science.gov (United States)

Lee, Hyunjeong

2014-01-01

This study investigated a reliable and valid method for measuring cognitive load during learning through comparing various types of cognitive load measurements: electroencephalography (EEG), self-reporting, and learning outcome. A total of 43 college-level students underwent watching a documentary delivered in English or in Korean. EEG was…

Web-Based Evaluation System to Measure Learning Effectiveness in Kampo Medicine

Directory of Open Access Journals (Sweden)

Norio Iizuka

2016-01-01

Full Text Available Measuring the learning effectiveness of Kampo Medicine (KM education is challenging. The aim of this study was to develop a web-based test to measure the learning effectiveness of KM education among medical students (MSs. We used an open-source Moodle platform to test 30 multiple-choice questions classified into 8-type fields (eight basic concepts of KM including “qi-blood-fluid” and “five-element” theories, on 117 fourth-year MSs. The mean (±standard deviation [SD] score on the web-based test was 30.2±11.9 (/100. The correct answer rate ranged from 17% to 36%. A pattern-based portfolio enabled these rates to be individualized in terms of KM proficiency. MSs with scores higher (n=19 or lower (n=14 than mean ± 1SD were defined as high or low achievers, respectively. Cluster analysis using the correct answer rates for the 8-type field questions revealed clear divisions between high and low achievers. Interestingly, each high achiever had a different proficiency pattern. In contrast, three major clusters were evident among low achievers, all of whom responded with a low percentage of or no correct answers. In addition, a combination of three questions accurately classified high and low achievers. These findings suggest that our web-based test allows individual quantitative assessment of the learning effectiveness of KM education among MSs.

Measuring Explicit Word Learning of Preschool Children: A Development Study.

Science.gov (United States)

Kelley, Elizabeth Spencer

2017-08-15

The purpose of this article is to present preliminary results related to the development of a new measure of explicit word learning. The measure incorporated elements of explicit vocabulary instruction and dynamic assessment and was designed to be sensitive to differences in word learning skill and to be feasible for use in clinical settings. The explicit word learning measure included brief teaching trials and repeated fine-grained measurement of semantic knowledge and production of 3 novel words (2 verbs and 1 adjective). Preschool children (N = 23) completed the measure of explicit word learning; standardized, norm-referenced measures of expressive and receptive vocabulary; and an incidental word learning task. The measure of explicit word learning provided meaningful information about word learning. Performance on the explicit measure was related to existing vocabulary knowledge and incidental word learning. Findings from this development study indicate that further examination of the measure of explicit word learning is warranted. The measure may have the potential to identify children who are poor word learners. https://doi.org/10.23641/asha.5170738.

Learning Type Extension Trees for Metal Bonding State Prediction

DEFF Research Database (Denmark)

Frasconi, Paolo; Jaeger, Manfred; Passerini, Andrea

2008-01-01

Type Extension Trees (TET) have been recently introduced as an expressive representation language allowing to encode complex combinatorial features of relational entities. They can be efficiently learned with a greedy search strategy driven by a generalized relational information gain and a discr......Type Extension Trees (TET) have been recently introduced as an expressive representation language allowing to encode complex combinatorial features of relational entities. They can be efficiently learned with a greedy search strategy driven by a generalized relational information gain...

Best practices for measuring students' attitudes toward learning science.

Science.gov (United States)

Lovelace, Matthew; Brickman, Peggy

2013-01-01

Science educators often characterize the degree to which tests measure different facets of college students' learning, such as knowing, applying, and problem solving. A casual survey of scholarship of teaching and learning research studies reveals that many educators also measure how students' attitudes influence their learning. Students' science attitudes refer to their positive or negative feelings and predispositions to learn science. Science educators use attitude measures, in conjunction with learning measures, to inform the conclusions they draw about the efficacy of their instructional interventions. The measurement of students' attitudes poses similar but distinct challenges as compared with measurement of learning, such as determining validity and reliability of instruments and selecting appropriate methods for conducting statistical analyses. In this review, we will describe techniques commonly used to quantify students' attitudes toward science. We will also discuss best practices for the analysis and interpretation of attitude data.

Choice of outcomes and measurement instruments in randomised trials on eLearning in medical education: a systematic mapping review protocol.

Science.gov (United States)

Law, Gloria C; Apfelbacher, Christian; Posadzki, Pawel P; Kemp, Sandra; Tudor Car, Lorainne

2018-05-17

There will be a lack of 18 million healthcare workers by 2030. Multiplying the number of well-trained healthcare workers through innovative ways such as eLearning is highly recommended in solving this shortage. However, high heterogeneity of learning outcomes in eLearning systematic reviews reveals a lack of consistency and agreement on core learning outcomes in eLearning for medical education. In addition, there seems to be a lack of validity evidence for measurement instruments used in these trials. This undermines the credibility of these outcome measures and affects the ability to draw accurate and meaningful conclusions. The aim of this research is to address this issue by determining the choice of outcomes, measurement instruments and the prevalence of measurement instruments with validity evidence in randomised trials on eLearning for pre-registration medical education. We will conduct a systematic mapping and review to identify the types of outcomes, the kinds of measurement instruments and the prevalence of validity evidence among measurement instruments in eLearning randomised controlled trials (RCTs) in pre-registration medical education. The search period will be from January 1990 until August 2017. We will consider studies on eLearning for health professionals' education. Two reviewers will extract and manage data independently from the included studies. Data will be analysed and synthesised according to the aim of the review. Appropriate choice of outcomes and measurement tools is essential for ensuring high-quality research in the field of eLearning and eHealth. The results of this study could have positive implications for other eHealth interventions, including (1) improving quality and credibility of eLearning research, (2) enhancing the quality of digital medical education and (3) informing researchers, academics and curriculum developers about the types of outcomes and validity evidence for measurement instruments used in eLearning studies. The

Learning in a Physics Classroom Community: Physics Learning Identity Construct Development, Measurement and Validation

Science.gov (United States)

Li, Sissi L.

At the university level, introductory science courses usually have high student to teacher ratios which increases the challenge to meaningfully connect with students. Various curricula have been developed in physics education to actively engage students in learning through social interactions with peers and instructors in class. This learning environment demands not only conceptual understanding but also learning to be a scientist. However, the success of student learning is typically measured in test performance and course grades while assessment of student development as science learners is largely ignored. This dissertation addresses this issue with the development of an instrument towards a measure of physics learning identity (PLI) which is used to guide and complement case studies through student interviews and in class observations. Using the conceptual framework based on Etienne Wenger's communities of practice (1998), I examine the relationship between science learning and learning identity from a situated perspective in the context of a large enrollment science class as a community of practice. This conceptual framework emphasizes the central role of identity in the practices negotiated in the classroom community and in the way students figure out their trajectory as members. Using this framework, I seek to understand how the changes in student learning identity are supported by active engagement based instruction. In turn, this understanding can better facilitate the building of a productive learning community and provide a measure for achievement of the curricular learning goals in active engagement strategies. Based on the conceptual framework, I developed and validated an instrument for measuring physics learning identity in terms of student learning preferences, self-efficacy for learning physics, and self-image as a physics learner. The instrument was pilot tested with a population of Oregon State University students taking calculus based

A cerebellar learning model of vestibulo-ocular reflex adaptation in wild-type and mutant mice.

Science.gov (United States)

Clopath, Claudia; Badura, Aleksandra; De Zeeuw, Chris I; Brunel, Nicolas

2014-05-21

Mechanisms of cerebellar motor learning are still poorly understood. The standard Marr-Albus-Ito theory posits that learning involves plasticity at the parallel fiber to Purkinje cell synapses under control of the climbing fiber input, which provides an error signal as in classical supervised learning paradigms. However, a growing body of evidence challenges this theory, in that additional sites of plasticity appear to contribute to motor adaptation. Here, we consider phase-reversal training of the vestibulo-ocular reflex (VOR), a simple form of motor learning for which a large body of experimental data is available in wild-type and mutant mice, in which the excitability of granule cells or inhibition of Purkinje cells was affected in a cell-specific fashion. We present novel electrophysiological recordings of Purkinje cell activity measured in naive wild-type mice subjected to this VOR adaptation task. We then introduce a minimal model that consists of learning at the parallel fibers to Purkinje cells with the help of the climbing fibers. Although the minimal model reproduces the behavior of the wild-type animals and is analytically tractable, it fails at reproducing the behavior of mutant mice and the electrophysiology data. Therefore, we build a detailed model involving plasticity at the parallel fibers to Purkinje cells' synapse guided by climbing fibers, feedforward inhibition of Purkinje cells, and plasticity at the mossy fiber to vestibular nuclei neuron synapse. The detailed model reproduces both the behavioral and electrophysiological data of both the wild-type and mutant mice and allows for experimentally testable predictions. Copyright © 2014 the authors 0270-6474/14/347203-13$15.00/0.

Measuring Learning Outcomes in Auditing Education

DEFF Research Database (Denmark)

Holm, Claus; Steenholdt, Niels

2003-01-01

The ability to provide sensible measures for learning outcomes in accounting education is under increased scrutiny. In this paper we use a learner perspective in auditing education, which reflects that some students taking accounting classes also are provided with on-the-job training in accounting...... firms. Hence knowledge about learning outcomes for different groups of students is essential information for educators as well as the accounting profession. This paper extends prior research on the role of declarative and procedural knowledge in performing auditing tasks. Measuring learning outcomes......). The study provides evidence, which confirms an interrelationship between declarative and procedural knowledge in auditing, and the findings also suggest that students with auditing experience perform better than students without experience on procedural questions....

Measuring Learning Resistance to Workplace Training

Science.gov (United States)

Taylor, Jonathan E.; Lounsbury, John

2016-01-01

Training Transfer has been a topic bearing considerable mention over the past several decades. This article focuses on the connection between training transfer and learning resistance and presents research findings describing the design, creation, and testing of the Learning Efficiency Inventory (LEI). The LEI was designed to measure learning…

Realizing a Deflection-type D.C. Bridge-based Thermometer under Project-based Learning Approach

Science.gov (United States)

Warsahemas, T.; Ramadhiansyah; Ulum, A. I. N.; Yuliza, E.; Khairurrijal

2016-08-01

In addition to conventional learning, project-based learning (PBL) helps students developing skills and becoming more engaged in learning as they have a chance to solve real life problems of actual projects. As the name suggests, PBL is a model that organizes learning around projects. In this paper, the project that will be completed by a group of three students is about making a water temperature measuring instrument using a simple deflection-type d.c. bridge circuit. The project was done in the period of January to April 2015 when they was taking the Measurement and Data Processing Techniques, which is a compulsory course in the fourth semester of undergraduate program in Department of Physics at Institut Teknologi Bandung. With the help of a lecturer and a tutor as facilitators, they have followed this series of steps: 1. Start with a driving question, a problem to be solved, 2. Exploring the driving question by participating in authentic, situated inquiry, 3. Engaging collaborative activities with lecturer and tutor to find solutions to the driving question, 4. Scaffolding with learning technologies that help students participating in activities normally beyond their ability, and 5. Creating a set of tangible products that address the driving question. With this series of steps, the students have become easier to understand the lectures that have been given and the instrument has been realized to measure the temperature of water properly. When realizing the project under the PBL method, we learned other materials beside that have been taught in the course. Due to this project, we have had more skills like designing and soldering as well as problem-solving, teamwork, critical thinking, synthesis and analysis.

259 “Team Pair Solo” Cooperative Learning and Personality Type ...

African Journals Online (AJOL)

User

learning strategy and students' personality type on achievement and attitude to Chemistry. 175 SS2 ... There is increasing concern among practitioners and educational researchers about the .... Teachers' role in a cooperative learning classroom involves a careful design of meaningful ..... Classroom Management. Harry K.

Social Trust and Types of Classroom Activities: Predictors of Language Learning Motivation

Directory of Open Access Journals (Sweden)

Hossein Khodabakhshzadeh

2017-01-01

Full Text Available The present study examined the role of social trust and types of classroom activities as some probable significant predictors of language learning motivation on a sample of 200 Iranian EFL upper-intermediate learners who have been selected randomly. Consequently, the participants completed three questionnaires, Language Learning Motivation Inventory, Classroom and school Community Inventory, and Classroom Activities Inventory, the reliability and validity of each have been checked previously. After running Multiple Regression through SPSS Software, the results revealed that social trust and types of classroom activities accounted for 16.7% of the variance in language learning motivation. Although each of them had a unique impact on language learning motivation, "Deep Language Use" as one of the types of classroom activities had a greater contribution to English as a foreign language learning motivation (002< .05, outweighing social trust as a more important predictor, (.005 < .05. Finally, pedagogical implications along with suggestions for further studies are discussed.

Machine learning based analytics of micro-MRI trabecular bone microarchitecture and texture in type 1 Gaucher disease.

Science.gov (United States)

Sharma, Gulshan B; Robertson, Douglas D; Laney, Dawn A; Gambello, Michael J; Terk, Michael

2016-06-14

Type 1 Gaucher disease (GD) is an autosomal recessive lysosomal storage disease, affecting bone metabolism, structure and strength. Current bone assessment methods are not ideal. Semi-quantitative MRI scoring is unreliable, not standardized, and only evaluates bone marrow. DXA BMD is also used but is a limited predictor of bone fragility/fracture risk. Our purpose was to measure trabecular bone microarchitecture, as a biomarker of bone disease severity, in type 1 GD individuals with different GD genotypes and to apply machine learning based analytics to discriminate between GD patients and healthy individuals. Micro-MR imaging of the distal radius was performed on 20 type 1 GD patients and 10 healthy controls (HC). Fifteen stereological and textural measures (STM) were calculated from the MR images. General linear models demonstrated significant differences between GD and HC, and GD genotypes. Stereological measures, main contributors to the first two principal components (PCs), explained ~50% of data variation and were significantly different between males and females. Subsequent PCs textural measures were significantly different between GD patients and HC individuals. Textural measures also significantly differed between GD genotypes, and distinguished between GD patients with normal and pathologic DXA scores. PCA and SVM predictive analyses discriminated between GD and HC with maximum accuracy of 73% and area under ROC curve of 0.79. Trabecular STM differences can be quantified between GD patients and HC, and GD sub-types using micro-MRI and machine learning based analytics. Work is underway to expand this approach to evaluate GD disease burden and treatment efficacy. Copyright © 2016 Elsevier Ltd. All rights reserved.

Measuring students' self-regulated learning in professional education: bridging the gap between event and aptitude measurements.

Science.gov (United States)

Endedijk, Maaike D; Brekelmans, Mieke; Sleegers, Peter; Vermunt, Jan D

Self-regulated learning has benefits for students' academic performance in school, but also for expertise development during their professional career. This study examined the validity of an instrument to measure student teachers' regulation of their learning to teach across multiple and different kinds of learning events in the context of a postgraduate professional teacher education programme. Based on an analysis of the literature, we developed a log with structured questions that could be used as a multiple-event instrument to determine the quality of student teachers' regulation of learning by combining data from multiple learning experiences. The findings showed that this structured version of the instrument measured student teachers' regulation of their learning in a valid and reliable way. Furthermore, with the aid of the Structured Learning Report individual differences in student teachers' regulation of learning could be discerned. Together the findings indicate that a multiple-event instrument can be used to measure regulation of learning in multiple contexts for various learning experiences at the same time, without the necessity of relying on students' ability to rate themselves across all these different experiences. In this way, this instrument can make an important contribution to bridging the gap between two dominant approaches to measure SRL, the traditional aptitude and event measurement approach.

Quantity-quality measuring method possibilities in improving operator's learning quality

International Nuclear Information System (INIS)

Zvonarev, V.P.

1984-01-01

Possibilities of obtainnjng qualitative-quantitative estimations of different aspects of learning process and their application in determination of learning purposes, substantiation of the training program choice of types and forms of studies directed at quality improvement of operator learning are considered

Measuring Learning Outcomes in Library Instruction

OpenAIRE

Connor, Elizabeth

2010-01-01

The author uses clicker technology to incorporate polling and multiple choice question techniques into library instruction classes. Clickers can be used to give a keener understanding of how many students grasp the concepts presented in a specific class session. Typically, a student that aces a definition-type question will fail to answer an application-type question correctly. Immediate, electronic feedback helps to calibrate teaching approaches and gather data about learning outcomes. Th...

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…

Types of Language Learning Strategies Used by Tertiary English Majors

Science.gov (United States)

Chuin, Tan Khye; Kaur, Sarjit

2015-01-01

This study investigated the types of language learning strategies used by 73 English majors from the School of Humanities in Universiti Sains Malaysia. Using questionnaires adopted from Oxford's (1990) Strategy Inventory of Language Learning (SILL) and focus group interviews, the study also examined the English major students' perceptions of using…

Elementary School Students' Strategic Learning: Does Task-Type Matter?

Science.gov (United States)

Malmberg, Jonna; Järvelä, Sanna; Kirschner, Paul A.

2014-01-01

This study investigated what types of learning patterns and strategies elementary school students use to carry out ill- and well-structured tasks. Specifically, it was investigated which and when learning patterns actually emerge with respect to students' task solutions. The present study uses computer log file traces to investigate how…

Measuring learning gain: Comparing anatomy drawing screencasts and paper-based resources.

Science.gov (United States)

Pickering, James D

2017-07-01

The use of technology-enhanced learning (TEL) resources is now a common tool across a variety of healthcare programs. Despite this popular approach to curriculum delivery there remains a paucity in empirical evidence that quantifies the change in learning gain. The aim of the study was to measure the changes in learning gain observed with anatomy drawing screencasts in comparison to a traditional paper-based resource. Learning gain is a widely used term to describe the tangible changes in learning outcomes that have been achieved after a specific intervention. In regard to this study, a cohort of Year 2 medical students voluntarily participated and were randomly assigned to either a screencast or textbook group to compare changes in learning gain across resource type. Using a pre-test/post-test protocol, and a range of statistical analyses, the learning gain was calculated at three test points: immediate post-test, 1-week post-test and 4-week post-test. Results at all test points revealed a significant increase in learning gain and large effect sizes for the screencast group compared to the textbook group. Possible reasons behind the difference in learning gain are explored by comparing the instructional design of both resources. Strengths and weaknesses of the study design are also considered. This work adds to the growing area of research that supports the effective design of TEL resources which are complimentary to the cognitive theory of multimedia learning to achieve both an effective and efficient learning resource for anatomical education. Anat Sci Educ 10: 307-316. © 2016 American Association of Anatomists. © 2016 American Association of Anatomists.

THE CORRELATION OF LEARNING INDEPENDENCE ATTITUDES AND STUDENT’S LEARNING ACHIEVEMENT ON PHYSICS LEARNING BASED-PORTFOLIO

Directory of Open Access Journals (Sweden)

Asep Saefullah

2017-05-01

Full Text Available This study aimed to determine correlation between learning independence attitudes and student’s learning achievement. Type of this research is a correlation study to detect the connection of learning independence attitude’s variance in relation to learning achievement variance. This study used an attitude scale to measure the student’s learning independence attitude and objective multiple-choice questions to measure the student’s learning achievement. The results showed that there is a positive correlation (unidirectional and significant betweenthe learning independence attitude and learning achievement. This means that the better student’s learning independence attitude, it will be the better students learning achievement. The attitude of learning independence contributed to 40.96% of students learning achievement.

Multi-instance dictionary learning via multivariate performance measure optimization

KAUST Repository

Wang, Jim Jing-Yan

2016-12-29

The multi-instance dictionary plays a critical role in multi-instance data representation. Meanwhile, different multi-instance learning applications are evaluated by specific multivariate performance measures. For example, multi-instance ranking reports the precision and recall. It is not difficult to see that to obtain different optimal performance measures, different dictionaries are needed. This observation motives us to learn performance-optimal dictionaries for this problem. In this paper, we propose a novel joint framework for learning the multi-instance dictionary and the classifier to optimize a given multivariate performance measure, such as the F1 score and precision at rank k. We propose to represent the bags as bag-level features via the bag-instance similarity, and learn a classifier in the bag-level feature space to optimize the given performance measure. We propose to minimize the upper bound of a multivariate loss corresponding to the performance measure, the complexity of the classifier, and the complexity of the dictionary, simultaneously, with regard to both the dictionary and the classifier parameters. In this way, the dictionary learning is regularized by the performance optimization, and a performance-optimal dictionary is obtained. We develop an iterative algorithm to solve this minimization problem efficiently using a cutting-plane algorithm and a coordinate descent method. Experiments on multi-instance benchmark data sets show its advantage over both traditional multi-instance learning and performance optimization methods.

Multi-instance dictionary learning via multivariate performance measure optimization

KAUST Repository

Wang, Jim Jing-Yan; Tsang, Ivor Wai-Hung; Cui, Xuefeng; Lu, Zhiwu; Gao, Xin

2016-01-01

The multi-instance dictionary plays a critical role in multi-instance data representation. Meanwhile, different multi-instance learning applications are evaluated by specific multivariate performance measures. For example, multi-instance ranking reports the precision and recall. It is not difficult to see that to obtain different optimal performance measures, different dictionaries are needed. This observation motives us to learn performance-optimal dictionaries for this problem. In this paper, we propose a novel joint framework for learning the multi-instance dictionary and the classifier to optimize a given multivariate performance measure, such as the F1 score and precision at rank k. We propose to represent the bags as bag-level features via the bag-instance similarity, and learn a classifier in the bag-level feature space to optimize the given performance measure. We propose to minimize the upper bound of a multivariate loss corresponding to the performance measure, the complexity of the classifier, and the complexity of the dictionary, simultaneously, with regard to both the dictionary and the classifier parameters. In this way, the dictionary learning is regularized by the performance optimization, and a performance-optimal dictionary is obtained. We develop an iterative algorithm to solve this minimization problem efficiently using a cutting-plane algorithm and a coordinate descent method. Experiments on multi-instance benchmark data sets show its advantage over both traditional multi-instance learning and performance optimization methods.

Lessons learned during Type A Packaging testing

International Nuclear Information System (INIS)

O'Brien, J.H.; Kelly, D.L.

1995-11-01

For the past 6 years, the US Department of Energy (DOE) Office of Facility Safety Analysis (EH-32) has contracted Westinghouse Hanford Company (WHC) to conduct compliance testing on DOE Type A packagings. The packagings are tested for compliance with the U.S. Department of Transportation (DOT) Specification 7A, general packaging, Type A requirements. The DOE has shared the Type A packaging information throughout the nuclear materials transportation community. During testing, there have been recurring areas of packaging design that resulted in testing delays and/or initial failure. The lessons learned during the testing are considered a valuable resource. DOE requested that WHC share this resource. By sharing what is and can be encountered during packaging testing, individuals will hopefully avoid past mistakes

Correlation of Students' Brain Types to Their Conceptions of Learning Science and Approaches to Learning Science

Science.gov (United States)

Park, Jiyeon; Jeon, Dongryul

2015-01-01

The systemizing and empathizing brain type represent two contrasted students' characteristics. The present study investigated differences in the conceptions and approaches to learning science between the systemizing and empathizing brain type students. The instruments are questionnaires on the systematizing and empathizing, questionnaires on the…

Measuring Learning Outcomes and Attitudes in a Flipped Introductory Statistics Course

Science.gov (United States)

Cilli-Turner, Emily

2015-01-01

Recent studies have highlighted the positive effects on learning and retention rates that active learning brings to the classroom. A flipped classroom is a type of active learning where transmission of content occurs outside of the classroom environment and problem solving and learning activities become the focus of classroom time. This article…

The Experience of Contrasting Learning Styles, Learning Preferences, and Personality Types in the Community College English Classroom

Science.gov (United States)

Lawrence, William K.

2014-01-01

This study focuses on the classroom experiences of students who identify themselves as learning best as reflective-observers (Assimilators) in contrast to those who learn best as active- experimenters (Accommodators), with additional consideration for their self-identified personality type (introvert vs. extrovert) as well as one of the VARK…

Relationship between Chinese Learning Motivation types and demographic features among Danish Students

DEFF Research Database (Denmark)

Zhang, Chun

The purpose of this study is to investigate the relationship between Chinese learning motivation types and the various demographic features among students at lower and upper secondary schools in Denmark. The basis of the analysis is survey data collected in Denmark from 204 students from 6 upper......) in mind, the motivational types in Chinese learning demonstrate the distinct features of the context. Theoretical and pedagogical implications for the findings are discussed....

Three Key Questions on Measuring Learning

Science.gov (United States)

McTighe, Jay

2018-01-01

The author examines three essential questions on educational assessment: What really matters in a contemporary education? How should we assess those things that matter? How might our assessments enhance learning that matters, not just measure it? In answering these question, he argues that schools need a broader collection of measures, with a…

Fixed type incore measuring device

International Nuclear Information System (INIS)

Oda, Naotaka; Ito, Hitoshi; Maeda, Hiroyuki

1998-01-01

The present invention concerns a measuring device using gamma thermometers to be used in a BWR type reactor. An input switch is inserted to the vicinity of a detection signal input portion of a signal cable connecting GT with the detection signal input portion of a fixed type incore measuring device, and a loop resistance measuring means is disposed to the input switch on the side of the GT by way of a measurement switch. Upon measuring loop resistance, the GT measuring circuit is switched from the detection signal input portion to the loop resistance measuring means by a switching operation of the input switch and the measurement switch thereby enabling to confirm the value of the loop resistance. In addition, the lowering of the voltage in the loop resistance is compensated to confirm the accurate measurement values to be used thereby enabling to measure GT detection signals accurately. A diagnosing means for diagnosing the state of GT based on the results of the measurement for the loop resistance is disposed, and the results are reported to an operator. (N.H.)

Developing an instrument to measure emotional behaviour abilities of meaningful learning through the Delphi technique.

Science.gov (United States)

Cadorin, Lucia; Bagnasco, Annamaria; Tolotti, Angela; Pagnucci, Nicola; Sasso, Loredana

2017-09-01

To identify items for a new instrument that measures emotional behaviour abilities of meaningful learning, according to Fink's Taxonomy. Meaningful learning is an active process that promotes a wider and deeper understanding of concepts. It is the result of an interaction between new and previous knowledge and produces a long-term change of knowledge and skills. To measure meaningful learning capability, it is very important in the education of health professionals to identify problems or special learning needs. For this reason, it is necessary to create valid instruments. A Delphi Study technique was implemented in four phases by means of e-mail. The study was conducted from April-September 2015. An expert panel consisting of ten researchers with experience in Fink's Taxonomy was established to identify the items of the instrument. Data were analysed for conceptual description and item characteristics and attributes were rated. Expert consensus was sought in each of these phases. An 87·5% consensus cut-off was established. After four rounds, consensus was obtained for validation of the content of the instrument 'Assessment of Meaningful learning Behavioural and Emotional Abilities'. This instrument consists of 56 items evaluated on a 6-point Likert-type scale. Foundational Knowledge, Application, Integration, Human Dimension, Caring and Learning How to Learn were the six major categories explored. This content validated tool can help educators (teachers, trainers and tutors) to identify and improve the strategies to support students' learning capability, which could increase their awareness of and/or responsibility in the learning process. © 2017 John Wiley & Sons Ltd.

Motivation Matters? The Relationship among Different Types of Learning Motivation, Engagement Behaviors and Learning Outcomes of Undergraduate Students in Taiwan

Science.gov (United States)

Hsieh, Tzu-Ling

2014-01-01

The purpose of this study is to understand predictors of different learning outcomes among various student background characteristics, types of learning motivation and engagement behaviors. 178 junior students were surveyed at a 4-year research university in Taiwan. The scales of motivation, engagement and perceived learning outcomes were adapted…

Brain Type or Sex Differences? A structural equation model of the relation between brain type, sex, and motivation to learn science

Science.gov (United States)

Zeyer, Albert; Bölsterli, Katrin; Brovelli, Dorothee; Odermatt, Freia

2012-03-01

Sex is considered to be one of the most significant factors influencing attitudes towards science. However, the so-called brain type approach from cognitive science suggests that the difference in motivation to learn science does not primarily differentiate the girls from the boys, but rather the so-called systemisers from the empathizers. The present study investigates this hypothesis by using structural equation modelling on a sex-stratified sample of 500 male and female students of secondary II level. The results show, that the motivation to learn science is directly influenced by the systemizing quotient SQ, but not by sex. The impact of sex on the motivation to learn science, measured by five key concepts, only works indirectly, namely through the influence of sex on the SQ. The empathizing quotient (EQ) has no impact on the motivation to learn science. The SQ explains between 13 and 23 percent of the variation of the five key constructs. In female students, the impact of the SQ is very similar for all key concepts. In male students, it is highest for self-efficacy and lowest for assessment anxiety. The motivation to learn science is significantly larger for male students in all involved SMQ key concepts, but the difference is small. The interpretation of these findings and conclusions for science teaching and further research are discussed.

Convolutional neural network with transfer learning for rice type classification

Science.gov (United States)

Patel, Vaibhav Amit; Joshi, Manjunath V.

2018-04-01

Presently, rice type is identified manually by humans, which is time consuming and error prone. Therefore, there is a need to do this by machine which makes it faster with greater accuracy. This paper proposes a deep learning based method for classification of rice types. We propose two methods to classify the rice types. In the first method, we train a deep convolutional neural network (CNN) using the given segmented rice images. In the second method, we train a combination of a pretrained VGG16 network and the proposed method, while using transfer learning in which the weights of a pretrained network are used to achieve better accuracy. Our approach can also be used for classification of rice grain as broken or fine. We train a 5-class model for classifying rice types using 4000 training images and another 2- class model for the classification of broken and normal rice using 1600 training images. We observe that despite having distinct rice images, our architecture, pretrained on ImageNet data boosts classification accuracy significantly.

Measuring learning potential in people with schizophrenia: A comparison of two tasks.

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Rempfer, Melisa V; McDowd, Joan M; Brown, Catana E

2017-12-01

Learning potential measures utilize dynamic assessment methods to capture performance changes following training on a cognitive task. Learning potential has been explored in schizophrenia research as a predictor of functional outcome and there have been calls for psychometric development in this area. Because the majority of learning potential studies have utilized the Wisconsin Card Sorting Test (WCST), we extended this work using a novel measure, the Rey Osterrieth Complex Figure Test (ROCFT). This study had the following aims: 1) to examine relationships among different learning potential indices for two dynamic assessment tasks, 2) to examine the association between WCST and ROCFT learning potential measures, and 3) to address concurrent validity with a performance-based measure of functioning (Test of Grocery Shopping Skills; TOGSS). Eighty-one adults with schizophrenia or schizoaffective disorder completed WCST and ROCFT learning measures and the TOGSS. Results indicated the various learning potential computational indices are intercorrelated and, similar to other studies, we found support for regression residuals and post-test scores as optimal indices. Further, we found modest relationships between the two learning potential measures and the TOGSS. These findings suggest learning potential includes both general and task-specific constructs but future research is needed to further explore this question. Copyright © 2017 Elsevier B.V. All rights reserved.

Named Entity Recognition for Novel Types by Transfer Learning

OpenAIRE

Qu, Lizhen; Ferraro, Gabriela; Zhou, Liyuan; Hou, Weiwei; Baldwin, Timothy

2016-01-01

In named entity recognition, we often don't have a large in-domain training corpus or a knowledge base with adequate coverage to train a model directly. In this paper, we propose a method where, given training data in a related domain with similar (but not identical) named entity (NE) types and a small amount of in-domain training data, we use transfer learning to learn a domain-specific NE model. That is, the novelty in the task setup is that we assume not just domain mismatch, but also labe...

Learning Online: A Comparison of Different Media Types

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Kößler, Franziska J.; Nitzschner, Marco M.

2015-01-01

Based on research about humor, foreign languages, and instructional design, in the current study we examined whether successful learning is related to using different types of media. We compared the comprehension of an economic concept in novices (N = 82) under three conditions: a Wikipedia article, a funny, and a serious YouTube video. The media…

Drosophila Courtship Conditioning As a Measure of Learning and Memory.

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Koemans, Tom S; Oppitz, Cornelia; Donders, Rogier A T; van Bokhoven, Hans; Schenck, Annette; Keleman, Krystyna; Kramer, Jamie M

2017-06-05

Many insights into the molecular mechanisms underlying learning and memory have been elucidated through the use of simple behavioral assays in model organisms such as the fruit fly, Drosophila melanogaster. Drosophila is useful for understanding the basic neurobiology underlying cognitive deficits resulting from mutations in genes associated with human cognitive disorders, such as intellectual disability (ID) and autism. This work describes a methodology for testing learning and memory using a classic paradigm in Drosophila known as courtship conditioning. Male flies court females using a distinct pattern of easily recognizable behaviors. Premated females are not receptive to mating and will reject the male's copulation attempts. In response to this rejection, male flies reduce their courtship behavior. This learned reduction in courtship behavior is measured over time, serving as an indicator of learning and memory. The basic numerical output of this assay is the courtship index (CI), which is defined as the percentage of time that a male spends courting during a 10 min interval. The learning index (LI) is the relative reduction of CI in flies that have been exposed to a premated female compared to naïve flies with no previous social encounters. For the statistical comparison of LIs between genotypes, a randomization test with bootstrapping is used. To illustrate how the assay can be used to address the role of a gene relating to learning and memory, the pan-neuronal knockdown of Dihydroxyacetone phosphate acyltransferase (Dhap-at) was characterized here. The human ortholog of Dhap-at, glyceronephosphate O-acyltransferase (GNPT), is involved in rhizomelic chondrodysplasia punctata type 2, an autosomal-recessive syndrome characterized by severe ID. Using the courtship conditioning assay, it was determined that Dhap-at is required for long-term memory, but not for short-term memory. This result serves as a basis for further investigation of the underlying molecular

Measuring strategic control in artificial grammar learning.

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Norman, Elisabeth; Price, Mark C; Jones, Emma

2011-12-01

In response to concerns with existing procedures for measuring strategic control over implicit knowledge in artificial grammar learning (AGL), we introduce a more stringent measurement procedure. After two separate training blocks which each consisted of letter strings derived from a different grammar, participants either judged the grammaticality of novel letter strings with respect to only one of these two grammars (pure-block condition), or had the target grammar varying randomly from trial to trial (novel mixed-block condition) which required a higher degree of conscious flexible control. Random variation in the colour and font of letters was introduced to disguise the nature of the rule and reduce explicit learning. Strategic control was observed both in the pure-block and mixed-block conditions, and even among participants who did not realise the rule was based on letter identity. This indicated detailed strategic control in the absence of explicit learning. Copyright © 2011 Elsevier Inc. All rights reserved.

Measuring Student Learning Outcomes Using the SALG Instrument

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Scholl, Kathleen; Olsen, Heather M.

2014-01-01

U.S. higher education institutions are being called to question their central nature, priorities, and functions, with prominent and unprecedented attention being given to accountability and the measurement of student learning outcomes. As higher education evolves in how it assesses student learning and leisure studies and recreation departments…

Errors analysis of problem solving using the Newman stage after applying cooperative learning of TTW type

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Rr Chusnul, C.; Mardiyana, S., Dewi Retno

2017-12-01

Problem solving is the basis of mathematics learning. Problem solving teaches us to clarify an issue coherently in order to avoid misunderstanding information. Sometimes there may be mistakes in problem solving due to misunderstanding the issue, choosing a wrong concept or misapplied concept. The problem-solving test was carried out after students were given treatment on learning by using cooperative learning of TTW type. The purpose of this study was to elucidate student problem regarding to problem solving errors after learning by using cooperative learning of TTW type. Newman stages were used to identify problem solving errors in this study. The new research used a descriptive method to find out problem solving errors in students. The subject in this study were students of Vocational Senior High School (SMK) in 10th grade. Test and interview was conducted for data collection. Thus, the results of this study suggested problem solving errors in students after learning by using cooperative learning of TTW type for Newman stages.

Measuring strategic control in implicit learning: how and why?

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Norman, Elisabeth

2015-01-01

Several methods have been developed for measuring the extent to which implicitly learned knowledge can be applied in a strategic, flexible manner. Examples include generation exclusion tasks in Serial Reaction Time (SRT) learning (Goschke, 1998; Destrebecqz and Cleeremans, 2001) and 2-grammar classification tasks in Artificial Grammar Learning (AGL; Dienes et al., 1995; Norman et al., 2011). Strategic control has traditionally been used as a criterion for determining whether acquired knowledge is conscious or unconscious, or which properties of knowledge are consciously available. In this paper I first summarize existing methods that have been developed for measuring strategic control in the SRT and AGL tasks. I then address some methodological and theoretical questions. Methodological questions concern choice of task, whether the measurement reflects inhibitory control or task switching, and whether or not strategic control should be measured on a trial-by-trial basis. Theoretical questions concern the rationale for including measurement of strategic control, what form of knowledge is strategically controlled, and how strategic control can be combined with subjective awareness measures.

Active Learning: The Importance of Developing a Comprehensive Measure

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Carr, Rodney; Palmer, Stuart; Hagel, Pauline

2015-01-01

This article reports on an investigation into the validity of a widely used scale for measuring the extent to which higher education students employ active learning strategies. The scale is the active learning scale in the Australasian Survey of Student Engagement. This scale is based on the Active and Collaborative Learning scale of the National…

Organizational learning, pilot test of Likert-type instruments

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Manuel Alfonso Garzón Castrillón

2010-09-01

Full Text Available This paper presents the results obtained in the pilot study of instruments created to comply the specific objective of designing and validating instruments to study the capacity of organizational learning. The Likert measurement scale was used because it allowed to establish the pertinence of the dimension as variable in the context of organizational learning. A One-way Analysis of Variance (ANOVA was used, with statistical package SPSS. Some 138 variables in 3 factors and 40 affirmations were simplified.

Advanced, Analytic, Automated (AAA) Measurement of Engagement During Learning.

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D'Mello, Sidney; Dieterle, Ed; Duckworth, Angela

2017-01-01

It is generally acknowledged that engagement plays a critical role in learning. Unfortunately, the study of engagement has been stymied by a lack of valid and efficient measures. We introduce the advanced, analytic, and automated (AAA) approach to measure engagement at fine-grained temporal resolutions. The AAA measurement approach is grounded in embodied theories of cognition and affect, which advocate a close coupling between thought and action. It uses machine-learned computational models to automatically infer mental states associated with engagement (e.g., interest, flow) from machine-readable behavioral and physiological signals (e.g., facial expressions, eye tracking, click-stream data) and from aspects of the environmental context. We present15 case studies that illustrate the potential of the AAA approach for measuring engagement in digital learning environments. We discuss strengths and weaknesses of the AAA approach, concluding that it has significant promise to catalyze engagement research.

Influence Cooperative Learning Method and Personality Type to Ability to Write The Scientific Article (Experiment Study on SMAN 2 Students Ciamis Learning Indonesian Subject

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Supriatna Supriatna

2017-10-01

Full Text Available The purpose of this research was to know the influence of cooperative learning method (Jigsaw and TPS and personality type (extrovert and introvert toward students’ ability in scientific writing at the SMA Negeri 2 Ciamis class XII. The research used experimental method with 2 x 2 factorial design. The population was the students of class XII which consisted of 150. The sample was 57 students. The results showed that: (1 The ability to write scientific articles of students learning by cooperative learning method jigsaw model (= 65,88 is higher than students who learn by cooperative technique method of TPS (= 59,88, (2 Ability writing scientific articles of students whose extroverted personality (= 65.69 is higher than introverted students (= 60.06; (3 there is interaction between cooperative learning method and personality type to score of writing ability of scientific article (4 ability to write scientific article of extrovert student and studying with technique of Jigsaw (= 77,75 higher than extrovert student learning with cooperative learning method model of TPS (= 53,63 to score of writing ability of scientific article, (5 ability to write introverted student's scientific article and get treatment of cooperative learning method of jigsaw model (= 54,00 lower than introverted student learning TPS technique = 66,13, (6 the ability to write extroverted students' scientific articles studied with jigsaw techniques, and introverted students who studied Jigsaw techniques (= 77.75 were higher than those with introverted personality types studied by the Jigsaw technique (= 54.00 , (7 Ability to write scientific articles of students learning by cooperative techniques of TPS technique and have extrovert personality type ( = 53.63 lower than introverted students learning TPS techniques (= 66.13.

The interdependence between learning styles and and types of intelligence in students of Psychology specialization

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Petru Jelescu

2016-11-01

Full Text Available Learning styles and types of intelligence are essential features of effective learning. Discovering and creative approach could be more appropriate form of learning to the current conditions of society.

The Effects of CBI Lesson Sequence Type and Field Dependence on Learning from Computer-Based Cooperative Instruction in Web

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Ipek, Ismail

2010-01-01

The purpose of this study was to investigate the effects of CBI lesson sequence type and cognitive style of field dependence on learning from Computer-Based Cooperative Instruction (CBCI) in WEB on the dependent measures, achievement, reading comprehension and reading rate. Eighty-seven college undergraduate students were randomly assigned to…

Measuring Learning Outcomes. A Learner Perspective in Auditing Education

DEFF Research Database (Denmark)

Holm, Claus; Steenholdt, Niels

2000-01-01

The ability to provide sensible measures for learning outcomes in accounting education is under increased scrutiny. In this paper we use a learner perspective in auditing education which reflects that some students taking accounting classes also are provided with on-the-job training in accounting...... for students taking a graduate auditing course reflect prior accounting work experience for some students and undergraduate accounting coursework experience for all students. This paper extends prior research on the role of declarative and procedural knowledge in performing auditing tasks. Measuring learning...... suggested by Robert M. Gagné. An instrument was developed to measure differences regarding learning outcomes in the context of an auditing course by posing a broad set of questions testing declarative knowledge and the full range of intellectual skills from discrimination to the use of higher...

The learning type makes the difference - the interrelation of Kolb's learning styles and psychological status of preclinical medical students at the University of Erlangen.

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Burger, Pascal H; Scholz, Michael

2014-01-01

Theories on learning styles and types have been integral to discussions on the basics of teaching for nearly 40 years. The learning style typology of Kolb divides learners into four groups (Diverger, Assimilator, Converger and Accomodator), which differ both in terms of their learning behaviour as well as personality and preferences. We studied the sense of coherence and burnout symptoms in medical students of the preclinical semesters (1(st) to 4(th) semester) at the Friedrich-Alexander University of Erlangen within the context of the observed learning styles. A total of 530 students were interviewed in winter semester 2012/13 using standardized psychometric questionnaires. Our students showed a significant correlation between the respective learning styles and expression of a sense of coherence, as well as cognitive and emotional burnout symptoms. The learning styles of the students differed significantly within these same parameters. We also demonstrated that learning styles and types not only influence study performance, but that there are also relationships to sense of coherence and psychological ailments. A more forward-looking integration of the theory of learning types in the medical education curriculum could positively influence both the performance and psychological well-being of the students.

On the tip of the tongue: learning typing and pointing with an intra-oral computer interface.

Science.gov (United States)

Caltenco, Héctor A; Breidegard, Björn; Struijk, Lotte N S Andreasen

2014-07-01

To evaluate typing and pointing performance and improvement over time of four able-bodied participants using an intra-oral tongue-computer interface for computer control. A physically disabled individual may lack the ability to efficiently control standard computer input devices. There have been several efforts to produce and evaluate interfaces that provide individuals with physical disabilities the possibility to control personal computers. Training with the intra-oral tongue-computer interface was performed by playing games over 18 sessions. Skill improvement was measured through typing and pointing exercises at the end of each training session. Typing throughput improved from averages of 2.36 to 5.43 correct words per minute. Pointing throughput improved from averages of 0.47 to 0.85 bits/s. Target tracking performance, measured as relative time on target, improved from averages of 36% to 47%. Path following throughput improved from averages of 0.31 to 0.83 bits/s and decreased to 0.53 bits/s with more difficult tasks. Learning curves support the notion that the tongue can rapidly learn novel motor tasks. Typing and pointing performance of the tongue-computer interface is comparable to performances of other proficient assistive devices, which makes the tongue a feasible input organ for computer control. Intra-oral computer interfaces could provide individuals with severe upper-limb mobility impairments the opportunity to control computers and automatic equipment. Typing and pointing performance of the tongue-computer interface is comparable to performances of other proficient assistive devices, but does not cause fatigue easily and might be invisible to other people, which is highly prioritized by assistive device users. Combination of visual and auditory feedback is vital for a good performance of an intra-oral computer interface and helps to reduce involuntary or erroneous activations.

Measuring Learning Outcomes in Auditing Education

DEFF Research Database (Denmark)

Holm, Claus; Steenholdt, Niels

The ability to provide sensible measures for learning outcomes in accounting education is under increased scrutiny. In this paper we use a learner perspective in auditing education, which reflects that some students taking accounting classes also are provided with on-the-job training in accountin...

Consideration on Singularities in Learning Theory and the Learning Coefficient

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Miki Aoyagi

2013-09-01

Full Text Available We consider the learning coefficients in learning theory and give two new methods for obtaining these coefficients in a homogeneous case: a method for finding a deepest singular point and a method to add variables. In application to Vandermonde matrix-type singularities, we show that these methods are effective. The learning coefficient of the generalization error in Bayesian estimation serves to measure the learning efficiency in singular learning models. Mathematically, the learning coefficient corresponds to a real log canonical threshold of singularities for the Kullback functions (relative entropy in learning theory.

Tracking orthographic learning in children with different types of dyslexia

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Hua-Chen eWang

2014-07-01

Full Text Available Previous studies have found that children with reading difficulties need more exposures to acquire the representations needed to support fluent reading than typically developing readers (e.g., Ehri & Saltmarsh, 1995. Building on existing orthographic learning paradigms, we report on an investigation of orthographic learning in poor readers using a new learning task tracking both the accuracy (untimed exposure duration and fluency (200ms exposure duration of learning novel words over trials. In study 1, we used the paradigm to examine orthographic learning in children with specific poor reader profiles (9 with a surface profile, 9 a phonological profile and 9 age-matched controls. Both profiles showed improvement over the learning cycles, but the children with surface profile showed impaired orthographic learning in spelling and orthographic choice tasks. Study 2 explored predictors of orthographic learning in a group of 91 poor readers using the same outcome measures as in Study 1. Consistent with earlier findings in typically developing readers, phonological decoding skill predicted orthographic learning. Moreover, orthographic knowledge significantly predicted orthographic learning over and beyond phonological decoding. The two studies provide insights into how poor readers learn novel words, and how their learning process may be compromised by less proficient orthographic and/or phonological skills.

Measuring the Difficult to Measure: Teaching and Learning with an iPad

Science.gov (United States)

Hargis, Jace; Cavanaugh, Cathy; Kamali, Tayeb; Soto, Melissa

2013-01-01

This study applies a comprehensive set of measures to document teaching practice and instructor responses when integrating new mobile technology devices in the classroom. The triangulated measures include a rubric for observing teaching with mobile learning devices in higher education, an interview protocol for capturing faculty levels of mobile…

Learning in Educational Computer Games for Novices: The Impact of Support Provision Types on Virtual Presence, Cognitive Load, and Learning Outcomes

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Claudia Schrader

2012-06-01

Full Text Available Embedding support devices in educational computer games has been asserted to positively affect learning outcomes. However, there is only limited direct empirical evidence on which design variations of support provision influence learning. In order to better understand the impact of support design on novices’ learning, the current study investigates how support devices and their type of provision (intrinsic vs. extrinsic determine games’ effectiveness on learning outcomes. This effectiveness is also related to how the design-type of provision influences learners’ virtual presence and cognitive load. Compared to an educational adventure game without additional support, the results indicate that the game equipped with support devices enhances learning outcomes, although no differences in cognitive load were found. A variation in the design of provision shows no effect. In order to gain a more thorough understanding of support devices and their design for games, additional learner characteristics (e.g., interest should be considered in future research.

Applying a Danish version of the Learning Transfer System Inventory and testing it for different types of education

DEFF Research Database (Denmark)

Sørensen, Peter; Stegeager, Nikolaj W.M.; Bates, Reid

2017-01-01

in the original American LTSI. The study also found that the mean score differs in a statistically significant way between the different types of education. Specifically, LTSI may be more suitable in measuring transfer systems and therefore promoting transfer in relation to short courses offering training......The purpose of this study was to answer two research questions. First, will an exploratory factor analysis of a Danish version of the Learning Transfer System Inventory (LTSI) result in a factor structure which is consistent with the original American LTSI factor structure? Second, does the mean...... score in the factor analysis vary in a statistically significant way across different types of education, suggesting that the LTSI may be more suitable a measure in some educational contexts than others? To answer these questions survey data from 411 students following four different types of formal...

Learning a Genetic Measure for Kinship Verification Using Facial Images

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Lu Kou

2015-01-01

Full Text Available Motivated by the key observation that children generally resemble their parents more than other persons with respect to facial appearance, distance metric (similarity learning has been the dominant choice for state-of-the-art kinship verification via facial images in the wild. Most existing learning-based approaches to kinship verification, however, are focused on learning a genetic similarity measure in a batch learning manner, leading to less scalability for practical applications with ever-growing amount of data. To address this, we propose a new kinship verification approach by learning a sparse similarity measure in an online fashion. Experimental results on the kinship datasets show that our approach is highly competitive to the state-of-the-art alternatives in terms of verification accuracy, yet it is superior in terms of scalability for practical applications.

The Army Learning Organisation Questionnaire: Developing a Valid and Reliable Measure of Learning Organisation Characteristics

Science.gov (United States)

2014-07-01

FIML Full Information Maximum Likelihood KMO Kaiser-Meyer-Oklin LEQ Learning Environment Questionnaire LO Learning Organisation LOS Learning...adequacy of the correlations’ magnitude was initially tested by using Kaiser-Meyer-Oklin ( KMO ) (Kaiser, 1974) and Bartlett’s test of sphericity (see...Table 4). Table 4: EFA assumption testing of ALOQ: Adequacy of correlation strength Assumption tests 44 item set* 21 item set KMO measure of

Measuring strategic control in implicit learning: how and why?

OpenAIRE

Norman, Elisabeth

2015-01-01

Several methods have been developed for measuring the extent to which implicitly learned knowledge can be applied in a strategic, flexible manner. Examples include generation exclusion tasks in Serial Reaction Time (SRT) learning (Goschke, 1998; Destrebecqz and Cleeremans, 2001) and 2-grammar classification tasks in Artificial Grammar Learning (AGL; Dienes et al., 1995; Norman et al., 2011). Strategic control has traditionally been used as a criterion for determining whether acquired knowledg...

COOPERATIVE LEARNING STRATEGY TYPE STAD IN TEACHING ISLAMIC EDUCATION SUBJECT (PAI AT SMPN 3 LENGAYANG

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Zulvia Evi Trinova

2018-04-01

Full Text Available SMPN 3 Lengayang has applied STAD as a type of cooperative learning to improve students’ passiveness. The learning is initiated by forming study groups and assigning tasks to be discussed together. However, in fact the learning is not effective that the students still can not understand the materials properly. It is noticable that the tasks given have been done by one student only, meanwhile the others are less serious and rely on those who are willing to do the group work. This is a field reasearch which describes the implementation of STAD in teaching PAI qualitatively. Data collection techniques used are in the form of observation, interviews, and documentation. As the result; 1 the planning of STAD strategy in teaching PAI at SMPN 3 Lengayang does not yet fulfill the requirement such as in organizing teaching materials (systematic/systematic demands with unsuitable time allocation, and detail of learning scenario (strategy step / method at each stage not clearly illustrated. 2 the implementation of STAD type in teaching PAI at SMPN 3 Lengayang is not fully implemented from the six STAD type cooperative learning steps, namely on teamwork and quiz, and 3 the evaluation in STAD type co-operative learning at SMPN 3 Lengayang is a written test or in the form of quiz. In addition, a test through a special quiz for individual assessment while group assessment is taken from group work. Especially the group with the highest score is given an additional mark.

Observational attachment theory-based parenting measures predict children's attachment narratives independently from social learning theory-based measures.

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Matias, Carla; O'Connor, Thomas G; Futh, Annabel; Scott, Stephen

2014-01-01

Conceptually and methodologically distinct models exist for assessing quality of parent-child relationships, but few studies contrast competing models or assess their overlap in predicting developmental outcomes. Using observational methodology, the current study examined the distinctiveness of attachment theory-based and social learning theory-based measures of parenting in predicting two key measures of child adjustment: security of attachment narratives and social acceptance in peer nominations. A total of 113 5-6-year-old children from ethnically diverse families participated. Parent-child relationships were rated using standard paradigms. Measures derived from attachment theory included sensitive responding and mutuality; measures derived from social learning theory included positive attending, directives, and criticism. Child outcomes were independently-rated attachment narrative representations and peer nominations. Results indicated that Attachment theory-based and Social Learning theory-based measures were modestly correlated; nonetheless, parent-child mutuality predicted secure child attachment narratives independently of social learning theory-based measures; in contrast, criticism predicted peer-nominated fighting independently of attachment theory-based measures. In young children, there is some evidence that attachment theory-based measures may be particularly predictive of attachment narratives; however, no single model of measuring parent-child relationships is likely to best predict multiple developmental outcomes. Assessment in research and applied settings may benefit from integration of different theoretical and methodological paradigms.

Examining Culturally Structured Learning Environments with Different Types of Music-Linked Movement Opportunity

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Cole, Juanita M.; Boykin, A. Wade

2008-01-01

This study describes two experiments that extended earlier work on the Afrocultural theme Movement Expression. The impact of various learning conditions characterized by different types of music-linked movement on story recall performance was examined. African American children were randomly assigned to a learning condition, presented a story, and…

"Learning" Can Improve the Blood Glucose Control Performance for Type 1 Diabetes Mellitus.

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Wang, Youqing; Zhang, Jinping; Zeng, Fanmao; Wang, Na; Chen, Xiaoping; Zhang, Bo; Zhao, Dong; Yang, Wenying; Cobelli, Claudio

2017-01-01

A learning-type artificial pancreas has been proposed to exploit the repetitive nature in the blood glucose dynamics. We clinically evaluated the efficacy of the learning-type artificial pancreas. We conducted a pilot clinical study in 10 participants of mean age 36.1 years (standard deviation [SD] 12.7; range 16-58) with type 1 diabetes. Each trial was conducted for eight consecutive mornings. The first two mornings were open-loop to obtain the individualized parameters. Then, the following six mornings were closed-loop, during which a learning-type model predictive control algorithm was employed to calculate the insulin infusion rate. To evaluate the algorithm's robustness, each participant took exercise or consumed alcohol on the fourth or sixth closed-loop day and the order was determined randomly. The primary outcome was the percentage of time spent in the target glucose range of 3.9-8.0 mmol/L between 0900 and 1200 h. The percentage of time with glucose spent in target range was significantly improved from 51.6% on day 1 to 71.6% on day 3 (mean difference between groups 17.9%, confidence interval [95% CI] 3.6-32.1; P = 0.020). There were no hypoglycemic episodes developed on day 3 compared with two episodes on day 1. There was no difference in the percentage of time with glucose spent in target range between exercise day versus day 5 and alcohol day versus day 5. The learning-type artificial pancreas system achieved good glycemic regulation and provided increased effectiveness over time. It showed a satisfactory performance even when the blood glucose was challenged by exercise or alcohol.

A critical role of glutamate transporter type 3 in the learning and memory of mice.

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Wang, Zhi; Park, Sang-Hon; Zhao, Huijuan; Peng, Shuling; Zuo, Zhiyi

2014-10-01

Hippocampus-dependent learning and memory are associated with trafficking of excitatory amino acid transporter type 3 (EAAT3) to the plasma membrane. To assess whether this trafficking is an intrinsic component of the biochemical responses underlying learning and memory, 7- to 9-week old male EAAT3 knockout mice and CD-1 wild-type mice were subjected to fear conditioning. Their hippocampal CA1 regions, amygdalae and entorhinal cortices were harvested before, or 30 min or 3 h after the fear conditioning stimulation. We found that EAAT3 knockout mice had worse contextual and tone-related learning and memory than did the wild-type mice. The expression of EAAT3, glutamate receptor (GluR)1 and GluR2 in the plasma membrane and of phospho-GluR1 (at Ser 831) and phospho-CaMKII in the hippocampus of the wild-type mice was increased at 30 min after the fear conditioning stimulation. Similar biochemical changes occurred in the amygdala. Fear conditioning also increased the expression of c-Fos and activity-regulated cytoskeleton-associated protein (Arc) in the CA1 regions and of Arc in the entorhinal cortices of the wild-type mice. These biochemical responses were attenuated in the EAAT3 knockout mice. These results suggest that EAAT3 plays a critical role in learning and memory. Our results also provide initial evidence that EAAT3 may have receptor-like functions to participate in the biochemical reactions underlying learning and memory. Copyright © 2014 Elsevier Inc. All rights reserved.

DEVELOPMENT AN INSTRUMENT TO MEASURE UNIVERSITY STUDENTS' ATTITUDE TOWARDS E-LEARNING

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Vandana MEHRA

2012-01-01

Full Text Available The study of student’s attitude towards e-learning can in many ways help managers better prepare in light of e-learning for the future. This article describes the process of the development of an instrument to measure university students’ attitude towards e-learning. The scale was administered to 200 University students from two countries (India and Iran .The 83-item attitude towards e-learning scale was developed on six domains as Perceived usefulness ; Intention to adopt e-learning; Ease of e-learning use; Technical and pedagogical support; E-learning stressors ; Pressure to use e-learning.

Elementary school students’ strategic learning and quality of strategy use: Does task type matter?

NARCIS (Netherlands)

Malmberg, Jonna; Järvelä, Sanna; Kirschner, Paul A.

2018-01-01

This study investigated what types of learning patterns and strategies elementary school students use to carry out ill- and- well-structured tasks. Specifically, it was investigated which and when learning patterns actually emerge with respect to students’ task solutions. The present study uses

A Comparison of Learning Cultures in Different Sizes and Types

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Brown, Paula D.; Finch, Kim S.; MacGregor, Cynthia

2012-01-01

This study compared relevant data and information about leadership and learning cultures in different sizes and types of high schools. Research was conducted using a quantitative design with a qualitative element. Quantitative data were gathered using a researcher-created survey. Independent sample t-tests were conducted to analyze the means of…

Cued Retrospective Reporting: Measuring Self-Regulated Learning

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Van Meeuwen, Ludo; Brand-Gruwel, Saskia; Kirschner, Paul A.; De Bock, Jeano; Van Merriënboer, Jeroen

2012-01-01

Van Meeuwen, L. W., Brand-Gruwel, S., Kirschner, P. A., De Bock, J. J. P. R., & Van Merriënboer, J. J. G. (2012, april). Cued retrospective reporting: Measuring self-regulated learning. Paper presented at the AERA annual meeting, Vancouver, B. C.

Relationship Between Age, Experience, and Student Preference for Types of Learning Activities in Online Courses

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Thomas A. Simonds

2017-10-01

Full Text Available In this study, two researchers explored student learning preferences in online courses. They used the scholarship of teaching and learning process as a research model, and embedded a web-based survey and online focus groups in the online courses they were teaching. After collecting data, the researchers conducted multiple logistic regression analyses to test their hypothesis that a relationship existed between some student factors and student preferences for types of online learning activities. The results of the data analysis revealed a statistically significant relationship between student age and student preference for certain types of online learning activities. Older students in the study indicated a much stronger preference for videos of the professor lecturing, while younger students tended to prefer more interactive learning strategies. Focus group comments from the older students provide insights into some of the reasons why they found watching video lectures to be helpful for their learning, and comments from younger students illustrate how they learn best in online courses. The researchers offer suggestions for online instructors based on the findings of this study, and they explain why online instructors may find the scholarship of teaching and learning research process especially helpful for both teaching and research efforts.

Task type and incidental L2 vocabulary learning: Repetition versus ...

African Journals Online (AJOL)

This study investigated the effect of task type on incidental L2 vocabulary learning. The different tasks investigated in this study differed in terms of repetition of encounters and task involvement load. In a within-subjects design, 72 Iranian learners of English practised 18 target words in three exercise conditions: three ...

APPLICATION OF COOPERATIVE LEARNING MODEL INDEX CARD MATCH TYPE IN IMPROVING STUDENT LEARNING RESULTS ON COMPOSITION AND COMPOSITION FUNCTIONS OF FUNCTIONS INVERS IN MAN 1 MATARAM

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Syahrir Syahrir

2017-12-01

Full Text Available Lack of student response in learning mathematics caused by passive of student in process of learning progress so that student consider mathematics subject is difficult subject to be understood. The research is Classroom Action Research (PTK using 2 cycles, then the purpose of this research is how the implementation of cooperative learning type of index card match in improving student learning outcomes on the subject matter of composition function and inverse function in MAN 1 Mataram. While the results of the analysis in the study showed that there is in cycle I obtained classical completeness 78.79% with the average score of student learning outcomes 69.78 and the average value of student learning responses with the category Enough, then in cycle II shows that classical thoroughness 87 , 89% with mean score of student learning result 78,94 and average value of student learning response with good category. So it can be concluded that the implementation of Model Cooperative Learning Type Index Card Match can improve student learning outcomes on the subject matter of composition function and inverse function.

DEVELOPMENT AN INSTRUMENT TO MEASURE UNIVERSITY STUDENTS' ATTITUDE TOWARDS E-LEARNING

OpenAIRE

Vandana MEHRA; Faranak OMIDIAN

2012-01-01

The study of student’s attitude towards e-learning can in many ways help managers better prepare in light of e-learning for the future. This article describes the process of the development of an instrument to measure university students’ attitude towards e-learning. The scale was administered to 200 University students from two countries (India and Iran) .The 83-item attitude towards e-learning scale was developed on six domains as Perceived usefulness ; Intention to adopt e-learning; Ease o...

Measuring the surgical 'learning curve': methods, variables and competency.

Science.gov (United States)

Khan, Nuzhath; Abboudi, Hamid; Khan, Mohammed Shamim; Dasgupta, Prokar; Ahmed, Kamran

2014-03-01

To describe how learning curves are measured and what procedural variables are used to establish a 'learning curve' (LC). To assess whether LCs are a valuable measure of competency. A review of the surgical literature pertaining to LCs was conducted using the Medline and OVID databases. Variables should be fully defined and when possible, patient-specific variables should be used. Trainee's prior experience and level of supervision should be quantified; the case mix and complexity should ideally be constant. Logistic regression may be used to control for confounding variables. Ideally, a learning plateau should reach a predefined/expert-derived competency level, which should be fully defined. When the group splitting method is used, smaller cohorts should be used in order to narrow the range of the LC. Simulation technology and competence-based objective assessments may be used in training and assessment in LC studies. Measuring the surgical LC has potential benefits for patient safety and surgical education. However, standardisation in the methods and variables used to measure LCs is required. Confounding variables, such as participant's prior experience, case mix, difficulty of procedures and level of supervision, should be controlled. Competency and expert performance should be fully defined. © 2013 The Authors. BJU International © 2013 BJU International.

Advanced, Analytic, Automated (AAA) Measurement of Engagement during Learning

Science.gov (United States)

D'Mello, Sidney; Dieterle, Ed; Duckworth, Angela

2017-01-01

It is generally acknowledged that engagement plays a critical role in learning. Unfortunately, the study of engagement has been stymied by a lack of valid and efficient measures. We introduce the advanced, analytic, and automated (AAA) approach to measure engagement at fine-grained temporal resolutions. The AAA measurement approach is grounded in…

E-Learning in Type I Midecal Uneversites of Iran

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A Mohammadi

2009-06-01

Full Text Available Background and purpose: Changes in medicine and medical education has yield to employment of new teaching methods and a shift to more student centered strategies in education. E-learning is one of these methods that can be used with greater flexibility and has the potential to enhance medical education. For our universities, using e-learning strategies in current curricula and continuous education is an inevitable issue and universities have begun their way in this era.Methods: we reviewed the websites of 9 type 1 Iranian universities of medical sciences including Ahvaz (http://ajums.ac.ir,Iran(http://www.iums.ac.ir,Isfahan(http://www.mui.ac.ir,Kerman(http://www.kmu.ac.ir,Mashad(http://www.mums.ac.irShahidBeheshti (http://www.sbmu.ac.ir, Shiraz (http://www.sums.ac.ir, Tabriz (http://www.tbzmed.ac.ir and Tehran (http://www.tums.ac.iruniversities of medical sciences.We tried to access these sites twice per week for two weeks. Two of the authors performed the search within these sites separately as follows: the homepages’ main menus were reviewed to find links to any kind of e-learning activity. This was done for the homepages of vice-chancellors of education too.Then if the site had a search option, the keywords of “e-learning”, “blended learning” and “electronic learning” were searched both in English and Persian. Then existing e-learning activities were assessed according to formal site utilization, providing interactive content, registration option for students and faculties and tracking option for students’ activities. The results of two authors were compared to reach a consensus.Results: Among these 8 universities, there was just one straight link to distance learning office in Shiraz University of Medical Sciences’ website and a link to online continuous medical education in Tehran University of Medical Sciences’ website. Others had no link for an office or a kind ofe-learning activity in their homepages.Conclusion: We

Automatically explaining machine learning prediction results: a demonstration on type 2 diabetes risk prediction.

Science.gov (United States)

Luo, Gang

2016-01-01

Predictive modeling is a key component of solutions to many healthcare problems. Among all predictive modeling approaches, machine learning methods often achieve the highest prediction accuracy, but suffer from a long-standing open problem precluding their widespread use in healthcare. Most machine learning models give no explanation for their prediction results, whereas interpretability is essential for a predictive model to be adopted in typical healthcare settings. This paper presents the first complete method for automatically explaining results for any machine learning predictive model without degrading accuracy. We did a computer coding implementation of the method. Using the electronic medical record data set from the Practice Fusion diabetes classification competition containing patient records from all 50 states in the United States, we demonstrated the method on predicting type 2 diabetes diagnosis within the next year. For the champion machine learning model of the competition, our method explained prediction results for 87.4 % of patients who were correctly predicted by the model to have type 2 diabetes diagnosis within the next year. Our demonstration showed the feasibility of automatically explaining results for any machine learning predictive model without degrading accuracy.

Development an Instrument to Measure University Students' Attitude towards E-Learning

Science.gov (United States)

Mehra, Vandana; Omidian, Faranak

2012-01-01

The study of student's attitude towards e-learning can in many ways help managers better prepare in light of e-learning for the future. This article describes the process of the development of an instrument to measure university students' attitude towards e-learning. The scale was administered to 200 University students from two countries (India…

Pedagogical Agents as Learning Companions: The Role of Agent Competency and Type of Interaction

Science.gov (United States)

Kim, Yanghee; Baylor, Amy L.

2006-01-01

This study was designed to examine the effects of the competency (low vs. high) and interaction type (proactive vs. responsive) of pedagogical agents as learning companions (PALs) on learning, self-efficacy, and attitudes. Participants were 72 undergraduates in an introductory computer-literacy course who were randomly assigned to one of four…

Effect of chronotype and student learning time on mathematical ability based on self-regulated learning

Science.gov (United States)

Ratnaningsih, N.; El Akbar, R. R.; Hidayat, E.

2018-05-01

One of ways to improve students' learning ability is conduct a research, with purpose to obtain a method to improve students' ability. Research often carried out on the modification of teaching methods, uses of teaching media, motivation, interests and talents of students. Research related to the internal condition of students becomes very interesting to studied, including research on circadian rhythms. Every person in circadian rhythms has its own Chronotype, which divided into two types namely early type and night late type. Chronotype affects the comfort in activity, for example a person with Chronotype category of early type tends to be more comfort in daytime activities. The purpose of this study is to examine the conditions of students, related Chronotype suitable or appropriate for student learning time. This suitability then studied in relation to the ability of learning mathematics with self- regulated learning approach. This study consists of three stages; (i) student Chronotype measurement, (ii) data retrieval, and (iii) analysis of research results. The results show the relationship between the students' learning ability in mathematics to learning time corresponding to Chronotype.

Using Different Types of Dictionaries for Improving EFL Reading Comprehension and Vocabulary Learning

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Alharbi, Majed A.

2016-01-01

This study investigated the effects of monolingual book dictionaries, popup dictionaries, and type-in dictionaries on improving reading comprehension and vocabulary learning in an EFL program. An experimental design involving four groups and a post-test was chosen for the experiment: (1) pop-up dictionary (experimental group 1); (2) type-in…

Measuring strategic control in implicit learning: How and why?

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Elisabeth eNorman

2015-09-01

Full Text Available Several methods have been developed for measuring the extent to which implicitly learned knowledge can be applied in a strategic, flexible manner. Examples include generation exclusion tasks in SRT learning (Destrebecqz & Cleeremans, 2001; Goschke, 1998 and 2-grammar classification tasks in AGL (Dienes, Altmann, Kwan, & Goode, 1995; Norman, Price, & Jones, 2011. Strategic control has traditionally been used as a criterion for determining whether acquired knowledge is conscious or unconscious, or which properties of knowledge is consciously available. In this paper I first summarize existing methods that have been developed for measuring strategic control in the SRT and AGL tasks. I then address some methodologial and theoretical questions. Methodological questions concern choice of task, whether the measurement reflects inhibitory control or task switching, and whether or not strategic control should be measured on a trial-by-trial basis. Theoretical questions concern the rationale for including measurement of strategic control, what form of knowledge is strategically controlled, and how strategic control can be combined with subjective awareness measures.

Effect of e-learning on quality of cervical-length measurements.

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van Os, M A; van der Ven, A J; Bloemendaal, P M; Pajkrt, E; de Groot, C J M; Mol, B W J; Haak, M C

2015-09-01

To assess the effect of implementation of a newly developed e-learning module on the quality of cervical-length measurements. With the introduction of cervical-length (CL) measurement in a research setting, a CL measurement e-learning module (CLEM) was developed with the purpose to enhance the knowledge and skills of experienced ultrasonographers. CLEM was designed specifically for ultrasonographers who perform ultrasound in a general obstetrical practice but who do not regularly perform CL measurements. CLEM consists of five theoretical questions and three caliper-placement tests to learn the CL measurement technique. The quality of the CL measurements of CLEM participants was compared with images of non-participants using a CL measurement image score (CIS), defined as the sum of six items which assess the quality of the image. Each CLEM participant submitted five CL images and the images of non-CLEM participants were selected randomly from an ultrasound database. The CIS of the CLEM participants (n = 61) were significantly higher than those of non-CLEM participants (n = 23) (164.9 vs 155.6, respectively; P = 0.03). Visualization of the internal os and positioning of the calipers on the internal and external ora were found to have significantly higher CIS among the CLEM participants than among the non-CLEM participants (P = 0.001 and P < 0.001, respectively). Introducing CLEM may improve the quality of CL measurements obtained by trained and untrained sonographers. Copyright © 2014 ISUOG. Published by John Wiley & Sons Ltd.

Quality Reform: Personality Type, Preferred Learning Style and Majors in a Business School

Science.gov (United States)

Fallan, Lars

2006-01-01

The quality reform of higher education in Norway has generally recommended a substitution of classroom teaching with more active forms of learning in higher education. This study reveals that ignoring the student's personality type may be in conflict with the purpose of the reform. The student's personality type affects both the most effective…

A deep learning approach to adherence detection for type 2 diabetics

DEFF Research Database (Denmark)

Mohebbi, Ali; Aradóttir, Tinna Björk; Johansen, Alexander Rosenberg

2017-01-01

Diabetes has become one of the biggest health problems in the world. In this context, adherence to insulin treatment is essential in order to avoid life-threatening complications. In this pilot study, a novel adherence detection algorithm using Deep Learning (DL) approaches was developed for type 2...

Measuring Ambiguity in HLA Typing Methods

Science.gov (United States)

Madbouly, Abeer; Freeman, John; Maiers, Martin

2012-01-01

In hematopoietic stem cell transplantation, donor selection is based primarily on matching donor and patient HLA genes. These genes are highly polymorphic and their typing can result in exact allele assignment at each gene (the resolution at which patients and donors are matched), but it can also result in a set of ambiguous assignments, depending on the typing methodology used. To facilitate rapid identification of matched donors, registries employ statistical algorithms to infer HLA alleles from ambiguous genotypes. Linkage disequilibrium information encapsulated in haplotype frequencies is used to facilitate prediction of the most likely haplotype assignment. An HLA typing with less ambiguity produces fewer high-probability haplotypes and a more reliable prediction. We estimated ambiguity for several HLA typing methods across four continental populations using an information theory-based measure, Shannon's entropy. We used allele and haplotype frequencies to calculate entropy for different sets of 1,000 subjects with simulated HLA typing. Using allele frequencies we calculated an average entropy in Caucasians of 1.65 for serology, 1.06 for allele family level, 0.49 for a 2002-era SSO kit, and 0.076 for single-pass SBT. When using haplotype frequencies in entropy calculations, we found average entropies of 0.72 for serology, 0.73 for allele family level, 0.05 for SSO, and 0.002 for single-pass SBT. Application of haplotype frequencies further reduces HLA typing ambiguity. We also estimated expected confirmatory typing mismatch rates for simulated subjects. In a hypothetical registry with all donors typed using the same method, the entropy values based on haplotype frequencies correspond to confirmatory typing mismatch rates of 1.31% for SSO versus only 0.08% for SBT. Intermediate-resolution single-pass SBT contains the least ambiguity of the methods we evaluated and therefore the most certainty in allele prediction. The presented measure objectively evaluates HLA

Measuring ambiguity in HLA typing methods.

Directory of Open Access Journals (Sweden)

Vanja Paunić

Full Text Available In hematopoietic stem cell transplantation, donor selection is based primarily on matching donor and patient HLA genes. These genes are highly polymorphic and their typing can result in exact allele assignment at each gene (the resolution at which patients and donors are matched, but it can also result in a set of ambiguous assignments, depending on the typing methodology used. To facilitate rapid identification of matched donors, registries employ statistical algorithms to infer HLA alleles from ambiguous genotypes. Linkage disequilibrium information encapsulated in haplotype frequencies is used to facilitate prediction of the most likely haplotype assignment. An HLA typing with less ambiguity produces fewer high-probability haplotypes and a more reliable prediction. We estimated ambiguity for several HLA typing methods across four continental populations using an information theory-based measure, Shannon's entropy. We used allele and haplotype frequencies to calculate entropy for different sets of 1,000 subjects with simulated HLA typing. Using allele frequencies we calculated an average entropy in Caucasians of 1.65 for serology, 1.06 for allele family level, 0.49 for a 2002-era SSO kit, and 0.076 for single-pass SBT. When using haplotype frequencies in entropy calculations, we found average entropies of 0.72 for serology, 0.73 for allele family level, 0.05 for SSO, and 0.002 for single-pass SBT. Application of haplotype frequencies further reduces HLA typing ambiguity. We also estimated expected confirmatory typing mismatch rates for simulated subjects. In a hypothetical registry with all donors typed using the same method, the entropy values based on haplotype frequencies correspond to confirmatory typing mismatch rates of 1.31% for SSO versus only 0.08% for SBT. Intermediate-resolution single-pass SBT contains the least ambiguity of the methods we evaluated and therefore the most certainty in allele prediction. The presented measure

The role of different types of instrumentality in motivation, study strategies, and performance: know why you learn, so you'll know what you learn!

Science.gov (United States)

Simons, Joke; Dewitte, Siegfried; Lens, Willy

2004-09-01

Two theories in the field of motivation and achievement, namely the future time perspective theory and goal theory, result in conflicting recommendations for enhancing students' motivation, because of their differential emphasis on the task at hand and on the future consequences of a task. We will present a framework consisting of four types of instrumentality that combines both perspectives. The implications of those different types for goal orientation, motivation, cognitive strategies, study habits and performance are investigated. Participants were a group of 184 first-year nurse students with ages ranging from 18 to 45 years. Questionnaires were administered that measured instrumentality, goal orientation, motivation, deep and surface level learning strategies, study habits, and a manipulation check. At the end of the year, exam scores were collected. The results showed that different types of instrumentality are related differently to the motivational, cognitive and achievement measures. Being internally regulated and perceiving the utility of the courses resulted both in a more adaptive goal orientation and higher intrinsic motivation, which led to the use of more adaptive cognitive strategies and to better study habits, which ultimately enhanced performance. Linking performance to extrinsic rewards and not seeing the utility of the course for the future yielded the opposite pattern. Type of instrumentality has indeed a differential influence on motivational, cognitive, and behavioural variables.

A Pedagogical Framework for Mobile Learning: Categorizing Educational Applications of Mobile Technologies into Four Types

Directory of Open Access Journals (Sweden)

Yeonjeong Park

2011-02-01

Full Text Available Instructional designers and educators recognize the potential of mobile technologies as a learning tool for students and have incorporated them into the distance learning environment. However, little research has been done to categorize the numerous examples of mobile learning in the context of distance education, and few instructional design guidelines based on a solid theoretical framework for mobile learning exist. In this paper I compare mobile learning (m-learning with electronic learning (e-learning and ubiquitous learning (u-learning and describe the technological attributes and pedagogical affordances of mobile learning presented in previous studies. I modify transactional distance (TD theory and adopt it as a relevant theoretical framework for mobile learning in distance education. Furthermore, I attempt to position previous studies into four types of mobile learning: 1 high transactional distance socialized m-learning, 2 high transactional distance individualized m-learning, 3 low transactional distance socialized m-learning, and 4 low transactional distance individualized m-learning. As a result, this paper can be used by instructional designers of open and distance learning to learn about the concepts of mobile learning and how mobile technologies can be incorporated into their teaching and learning more effectively.

Measurement of Employability Skills on Teaching Factory Learning

Science.gov (United States)

Subekti, S.; Ana, A.

2018-02-01

Vocational High Schools as one of the educational institutions that has the responsibility in preparing skilled labors has a challenge to improve the quality of human resources as a candidate for skilled labors, to compete and survive in a changing climate of work. BPS noted an increase in the number of non-worker population (BAK) in 2015-2017 on vocational graduates as many as 564,272 people. The ability to adapt and maintain jobs in a variety of conditions is called employability skills. This study purpose to measure the development of employability skills of communication skills, problem-solving skills and teamwork skills on the implementation of teaching factory learning in SMK Negeri 1 Cibadak, THPH Skills Program on bakery competency. This research uses mixed method, with concurrent triangulation mix methods research design. Data collection techniques used interviews and questionnaires. The result shows that there are increasing students’ employability skills in communication skills, problem solving skills, and teamwork skills in teaching factory learning. Principles of learning that apply learning by doing student centering and learning arrangements such as situations and conditions in the workplace have an impact on improving student employability skills.

The Role of Context in Third Graders’ Learning of Area Measurement

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Denny Haris

2011-01-01

Full Text Available Many researches showed that the most of students find the difficulty in measuring area. The formula of area tends to be taught directly without involving the conceptual basis and the area measurement are separated from children’s daily experiences. For this reason, the teaching and learning of area measurement was designed and link to a set of students’ experience-based activities. The context of this research is Indonesian traditional handicraft namely anyaman. The study is situated in the context of implementing an Indonesian version of Realistic Mathematics Education, labeled as PMRI in Indonesia. Design Research methodology comprising preliminary design, teaching experiment, and retrospective analysis is applied. This research described the investigation of the context as preliminary of teaching and learning about area measurement held in 3th grade of primary school SDN 119 Palembang. The result of the teaching experiment showed that problem embedded in a context could encourage the students to develop the idea of area measurement concept. The strategies through emergent modeling showed how students’ contribution could be used to develop gradually their reasoning of area measurement concept. In the experience-based activities for learning area measurement, emergent modeling played an important role in the shift of students’ reasoning from informal level towards formal mathematical concepts of area measurement.

Anatomy education environment measurement inventory: A valid tool to measure the anatomy learning environment.

Science.gov (United States)

Hadie, Siti Nurma Hanim; Hassan, Asma'; Ismail, Zul Izhar Mohd; Asari, Mohd Asnizam; Khan, Aaijaz Ahmed; Kasim, Fazlina; Yusof, Nurul Aiman Mohd; Manan Sulong, Husnaida Abdul; Tg Muda, Tg Fatimah Murniwati; Arifin, Wan Nor; Yusoff, Muhamad Saiful Bahri

2017-09-01

Students' perceptions of the education environment influence their learning. Ever since the major medical curriculum reform, anatomy education has undergone several changes in terms of its curriculum, teaching modalities, learning resources, and assessment methods. By measuring students' perceptions concerning anatomy education environment, valuable information can be obtained to facilitate improvements in teaching and learning. Hence, it is important to use a valid inventory that specifically measures attributes of the anatomy education environment. In this study, a new 11-factor, 132-items Anatomy Education Environment Measurement Inventory (AEEMI) was developed using Delphi technique and was validated in a Malaysian public medical school. The inventory was found to have satisfactory content evidence (scale-level content validity index [total] = 0.646); good response process evidence (scale-level face validity index [total] = 0.867); and acceptable to high internal consistency, with the Raykov composite reliability estimates of the six factors are in the range of 0.604-0.876. The best fit model of the AEEMI is achieved with six domains and 25 items (X 2  = 415.67, P education environment in Malaysia. A concerted collaboration should be initiated toward developing a valid universal tool that, using the methods outlined in this study, measures the anatomy education environment across different institutions and countries. Anat Sci Educ 10: 423-432. © 2017 American Association of Anatomists. © 2017 American Association of Anatomists.

Reversal learning as a measure of impulsive and compulsive behavior in addictions.

Science.gov (United States)

Izquierdo, Alicia; Jentsch, J David

2012-01-01

Our ability to measure the cognitive components of complex decision-making across species has greatly facilitated our understanding of its neurobiological mechanisms. One task in particular, reversal learning, has proven valuable in assessing the inhibitory processes that are central to executive control. Reversal learning measures the ability to actively suppress reward-related responding and to disengage from ongoing behavior, phenomena that are biologically and descriptively related to impulsivity and compulsivity. Consequently, reversal learning could index vulnerability for disorders characterized by impulsivity such as proclivity for initial substance abuse as well as the compulsive aspects of dependence. Though we describe common variants and similar tasks, we pay particular attention to discrimination reversal learning, its supporting neural circuitry, neuropharmacology and genetic determinants. We also review the utility of this task in measuring impulsivity and compulsivity in addictions. We restrict our review to instrumental, reward-related reversal learning studies as they are most germane to addiction. The research reviewed here suggests that discrimination reversal learning may be used as a diagnostic tool for investigating the neural mechanisms that mediate impulsive and compulsive aspects of pathological reward-seeking and -taking behaviors. Two interrelated mechanisms are posited for the neuroadaptations in addiction that often translate to poor reversal learning: frontocorticostriatal circuitry dysregulation and poor dopamine (D2 receptor) modulation of this circuitry. These data suggest new approaches to targeting inhibitory control mechanisms in addictions.

Scattering measurements in Tokamak type devices

International Nuclear Information System (INIS)

Matoba, Tohru

1975-03-01

Theories, experiments and proposals for light scattering in Tokamak type devices are reviewed. Thomson scattering, measuring method of the current density distribution by scattering and resonance fluorescence are summarily described. These methods may be useful for diagnosis of the fusion plasmas. The report may help planning of the measuring apparatus for the fusion plasmas in future. (auth.)

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

Analysis of difficulties in mathematics learning on students with guardian personality type in problem-solving HOTS geometry test

Science.gov (United States)

Karimah, R. K. N.; Kusmayadi, T. A.; Pramudya, I.

2018-04-01

Learning in the current 2013 curriculum is based on contextual issues based on questions that can encourage students to think broadly. HOTS is a real-life based assessment of everyday life, but in practice, the students are having trouble completing the HOTS issue. Learning difficulty is also influenced by personality type Based on the fact that the real difference one can see from a person is behavior. Kersey classifies the personality into 4 types, namely Idealist, Rational, Artisan, and Guardian. The researcher focuses on the type of guardian personality that is the type of personality that does not like the picture. This study aims to describe the difficulty of learning mathematics in students with a type of guardian personality in the completion of Geometry materials especially in solving HOTS. This research type is descriptive qualitative research. Instruments used in this study were the researchers themselves, personality class test sheets, learning difficulty test sheets in the form of HOTS Geometry test, and interview guides. The results showed that students with guardian personality it was found that a total of 3.37 % difficulties of number fact skill, 4.49 % difficulties of arithmetics skill, 37.08 % difficulties of information skill, 31.46% difficulties of language skill, 23.60 % difficulties of visual-spatial skill.

Influence of Discussion Rating in Cooperative Learning Type Numbered Head Together on Learning Results Students VII MTSN Model Padang

Science.gov (United States)

Sasmita, E.; Edriati, S.; Yunita, A.

2018-04-01

Related to the math score of the first semester in class at seventh grade of MTSN Model Padang which much the score that low (less than KKM). It because of the students who feel less involved in learning process because the teacher don't do assessment the discussions. The solution of the problem is discussion assessment in Cooperative Learning Model type Numbered Head Together. This study aims to determine whether the discussion assessment in NHT effect on student learning outcomes of class VII MTsN Model Padang. The instrument used in this study is discussion assessment and final tests. The data analysis technique used is the simple linear regression analysis. Hypothesis test results Fcount greater than the value of Ftable then the hypothesis in this study received. So it concluded that the assessment of the discussion in NHT effect on student learning outcomes of class VII MTsN Model Padang.

Validating Machine Learning Algorithms for Twitter Data Against Established Measures of Suicidality.

Science.gov (United States)

Braithwaite, Scott R; Giraud-Carrier, Christophe; West, Josh; Barnes, Michael D; Hanson, Carl Lee

2016-05-16

One of the leading causes of death in the United States (US) is suicide and new methods of assessment are needed to track its risk in real time. Our objective is to validate the use of machine learning algorithms for Twitter data against empirically validated measures of suicidality in the US population. Using a machine learning algorithm, the Twitter feeds of 135 Mechanical Turk (MTurk) participants were compared with validated, self-report measures of suicide risk. Our findings show that people who are at high suicidal risk can be easily differentiated from those who are not by machine learning algorithms, which accurately identify the clinically significant suicidal rate in 92% of cases (sensitivity: 53%, specificity: 97%, positive predictive value: 75%, negative predictive value: 93%). Machine learning algorithms are efficient in differentiating people who are at a suicidal risk from those who are not. Evidence for suicidality can be measured in nonclinical populations using social media data.

Reinforcement learning for partially observable dynamic processes: adaptive dynamic programming using measured output data.

Science.gov (United States)

Lewis, F L; Vamvoudakis, Kyriakos G

2011-02-01

Approximate dynamic programming (ADP) is a class of reinforcement learning methods that have shown their importance in a variety of applications, including feedback control of dynamical systems. ADP generally requires full information about the system internal states, which is usually not available in practical situations. In this paper, we show how to implement ADP methods using only measured input/output data from the system. Linear dynamical systems with deterministic behavior are considered herein, which are systems of great interest in the control system community. In control system theory, these types of methods are referred to as output feedback (OPFB). The stochastic equivalent of the systems dealt with in this paper is a class of partially observable Markov decision processes. We develop both policy iteration and value iteration algorithms that converge to an optimal controller that requires only OPFB. It is shown that, similar to Q -learning, the new methods have the important advantage that knowledge of the system dynamics is not needed for the implementation of these learning algorithms or for the OPFB control. Only the order of the system, as well as an upper bound on its "observability index," must be known. The learned OPFB controller is in the form of a polynomial autoregressive moving-average controller that has equivalent performance with the optimal state variable feedback gain.

Organizational Learning in the Hotel Industry: an eclectic instrument of measurement

OpenAIRE

Fernandes, A. L.; Laureano, R. M. S.; Alturas, B.

2018-01-01

Organizational Learning, despite being a widely debated topic in the literature on management, regarding the hotel industry still suffers from scattered information. This study was conducted with 295 professionals, among them managers and employees of hotels in Brazil and Portugal in order to validate a measuring instrument of organizational learning, properly adapted for hotel industry, and identify differences in the degree of efficiency of the organizational learning process between hotels...

Influence of Type of Assessment and Stress on the Learning Outcome

Science.gov (United States)

Tetteh, Godson Ayertei; Sarpong, Frederick Asafo-Adjei

2015-01-01

Purpose: The purpose of this paper is to explore the influence of constructivism on assessment approach, where the type of question (true or false, multiple-choice, calculation or essay) is used productively. Although the student's approach to learning and the teacher's approach to teaching are concepts that have been widely researched, few…

A Review of Learning Styles for Korean Learners of Japanese as a Foreign Language : Focused on Experiential Learning Theory of Kolb

OpenAIRE

朴, 志仙

2008-01-01

Learning styles have lately attracted considerable attention as a measure which elucidates the influence of individuality on learning. In this article, the concept of learning styles are defined, and earlier literatures concerning learning styles are surveyed, based mainly on Reid's (1995) classification. They are categorized as 3 types; sensory learning style, affective learning style, and cognitive learning style. After that, the learning styles of Korean learners are reviewed. The studies ...

Learning of Temporal and Spatial Movement Aspects: A Comparison of Four Types of Haptic Control and Concurrent Visual Feedback.

Science.gov (United States)

Rauter, Georg; Sigrist, Roland; Riener, Robert; Wolf, Peter

2015-01-01

In literature, the effectiveness of haptics for motor learning is controversially discussed. Haptics is believed to be effective for motor learning in general; however, different types of haptic control enhance different movement aspects. Thus, in dependence on the movement aspects of interest, one type of haptic control may be effective whereas another one is not. Therefore, in the current work, it was investigated if and how different types of haptic controllers affect learning of spatial and temporal movement aspects. In particular, haptic controllers that enforce active participation of the participants were expected to improve spatial aspects. Only haptic controllers that provide feedback about the task's velocity profile were expected to improve temporal aspects. In a study on learning a complex trunk-arm rowing task, the effect of training with four different types of haptic control was investigated: position control, path control, adaptive path control, and reactive path control. A fifth group (control) trained with visual concurrent augmented feedback. As hypothesized, the position controller was most effective for learning of temporal movement aspects, while the path controller was most effective in teaching spatial movement aspects of the rowing task. Visual feedback was also effective for learning temporal and spatial movement aspects.

A Measure of Student Involvement in Learning: Time-on-Task.

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Anderson, Lorin W.

The importance of appropriate task relevant behaviors as a necessary condition for school learning has long been noted. This paper suggests a multiple measure of one set of student classroom behaviors, presents a brief theoretical basis for the measure, provides some empirical support for the use of the measure, and indicates some educational…

Magnetic Resonance Super-resolution Imaging Measurement with Dictionary-optimized Sparse Learning

Directory of Open Access Journals (Sweden)

Li Jun-Bao

2017-06-01

Full Text Available Magnetic Resonance Super-resolution Imaging Measurement (MRIM is an effective way of measuring materials. MRIM has wide applications in physics, chemistry, biology, geology, medical and material science, especially in medical diagnosis. It is feasible to improve the resolution of MR imaging through increasing radiation intensity, but the high radiation intensity and the longtime of magnetic field harm the human body. Thus, in the practical applications the resolution of hardware imaging reaches the limitation of resolution. Software-based super-resolution technology is effective to improve the resolution of image. This work proposes a framework of dictionary-optimized sparse learning based MR super-resolution method. The framework is to solve the problem of sample selection for dictionary learning of sparse reconstruction. The textural complexity-based image quality representation is proposed to choose the optimal samples for dictionary learning. Comprehensive experiments show that the dictionary-optimized sparse learning improves the performance of sparse representation.

Model-Free Machine Learning in Biomedicine: Feasibility Study in Type 1 Diabetes

Science.gov (United States)

Daskalaki, Elena; Diem, Peter; Mougiakakou, Stavroula G.

2016-01-01

Although reinforcement learning (RL) is suitable for highly uncertain systems, the applicability of this class of algorithms to medical treatment may be limited by the patient variability which dictates individualised tuning for their usually multiple algorithmic parameters. This study explores the feasibility of RL in the framework of artificial pancreas development for type 1 diabetes (T1D). In this approach, an Actor-Critic (AC) learning algorithm is designed and developed for the optimisation of insulin infusion for personalised glucose regulation. AC optimises the daily basal insulin rate and insulin:carbohydrate ratio for each patient, on the basis of his/her measured glucose profile. Automatic, personalised tuning of AC is based on the estimation of information transfer (IT) from insulin to glucose signals. Insulin-to-glucose IT is linked to patient-specific characteristics related to total daily insulin needs and insulin sensitivity (SI). The AC algorithm is evaluated using an FDA-accepted T1D simulator on a large patient database under a complex meal protocol, meal uncertainty and diurnal SI variation. The results showed that 95.66% of time was spent in normoglycaemia in the presence of meal uncertainty and 93.02% when meal uncertainty and SI variation were simultaneously considered. The time spent in hypoglycaemia was 0.27% in both cases. The novel tuning method reduced the risk of severe hypoglycaemia, especially in patients with low SI. PMID:27441367

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

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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.…

Questioning short-term memory and its measurement: Why digit span measures long-term associative learning.

Science.gov (United States)

Jones, Gary; Macken, Bill

2015-11-01

Traditional accounts of verbal short-term memory explain differences in performance for different types of verbal material by reference to inherent characteristics of the verbal items making up memory sequences. The role of previous experience with sequences of different types is ostensibly controlled for either by deliberate exclusion or by presenting multiple trials constructed from different random permutations. We cast doubt on this general approach in a detailed analysis of the basis for the robust finding that short-term memory for digit sequences is superior to that for other sequences of verbal material. Specifically, we show across four experiments that this advantage is not due to inherent characteristics of digits as verbal items, nor are individual digits within sequences better remembered than other types of individual verbal items. Rather, the advantage for digit sequences stems from the increased frequency, compared to other verbal material, with which digits appear in random sequences in natural language, and furthermore, relatively frequent digit sequences support better short-term serial recall than less frequent ones. We also provide corpus-based computational support for the argument that performance in a short-term memory setting is a function of basic associative learning processes operating on the linguistic experience of the rememberer. The experimental and computational results raise questions not only about the role played by measurement of digit span in cognition generally, but also about the way in which long-term memory processes impact on short-term memory functioning. Copyright © 2015 The Authors. Published by Elsevier B.V. All rights reserved.

Estimates of the atmospheric parameters of M-type stars: a machine-learning perspective

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Sarro, L. M.; Ordieres-Meré, J.; Bello-García, A.; González-Marcos, A.; Solano, E.

2018-05-01

Estimating the atmospheric parameters of M-type stars has been a difficult task due to the lack of simple diagnostics in the stellar spectra. We aim at uncovering good sets of predictive features of stellar atmospheric parameters (Teff, log (g), [M/H]) in spectra of M-type stars. We define two types of potential features (equivalent widths and integrated flux ratios) able to explain the atmospheric physical parameters. We search the space of feature sets using a genetic algorithm that evaluates solutions by their prediction performance in the framework of the BT-Settl library of stellar spectra. Thereafter, we construct eight regression models using different machine-learning techniques and compare their performances with those obtained using the classical χ2 approach and independent component analysis (ICA) coefficients. Finally, we validate the various alternatives using two sets of real spectra from the NASA Infrared Telescope Facility (IRTF) and Dwarf Archives collections. We find that the cross-validation errors are poor measures of the performance of regression models in the context of physical parameter prediction in M-type stars. For R ˜ 2000 spectra with signal-to-noise ratios typical of the IRTF and Dwarf Archives, feature selection with genetic algorithms or alternative techniques produces only marginal advantages with respect to representation spaces that are unconstrained in wavelength (full spectrum or ICA). We make available the atmospheric parameters for the two collections of observed spectra as online material.

Using Cross-Cultural Dimensions Exercises to Improve and Measure Learning Outcomes in International Business Courses

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Zainuba, Mohamed; Rahal, Ahmad

2012-01-01

This article proposes an approach for using cross-cultural dimensions exercises to improve and measure learning outcomes in international business courses. The following key issues are highlighted: (a) what are the targeted learning outcomes to be assessed, (b) how to measure the accomplishment of these learning outcomes, (c) the input measures…

The Role of L-type Calcium Channels in Olfactory Learning and Its Modulation by Norepinephrine

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Abhinaba Ghosh

2017-12-01

Full Text Available L type calcium channels (LTCCs are prevalent in different systems and hold immense importance for maintaining/performing selective functions. In the nervous system, CaV1.2 and CaV1.3 are emerging as critical modulators of neuronal functions. Although the general role of these calcium channels in modulating synaptic plasticity and memory has been explored, their role in olfactory learning is not well understood. In this review article we first discuss the role of LTCCs in olfactory learning especially focusing on early odor preference learning in neonate rodents, presenting evidence that while NMDARs initiate stimulus-specific learning, LTCCs promote protein-synthesis dependent long-term memory (LTM. Norepinephrine (NE release from the locus coeruleus (LC is essential for early olfactory learning, thus noradrenergic modulation of LTCC function and its implication in olfactory learning is discussed here. We then address the differential roles of LTCCs in adult learning and learning in aged animals.

EDUCATEE'S THESAURUS AS AN OBJECT OF MEASURING LEARNED MATERIAL OF THE DISTANCE LEARNING COURSE

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Alexander Aleksandrovich RYBANOV

2013-10-01

Full Text Available Monitoring and control over the process of studying the distance learning course are based on solving the problem of making out an adequate integral mark to the educatee for mastering entire study course, by testing results. It is suggested to use the degree of correspondence between educatee's thesaurus and the study course thesaurus as an integral mark for the degree of mastering the distance learning course. Study course thesaurus is a set of the course objects with relations between them specified. The article considers metrics of the study course thesaurus complexity, made on the basis of the graph theory and the information theory. It is suggested to use the amount of information contained in the study course thesaurus graph as the metrics of the study course thesaurus complexity. Educatee's thesaurus is considered as an object of measuring educational material learned at the semantic level and is assessed on the basis of amount of information contained in its graph, taking into account the factors of learning the thesaurus objects.

Lessons learned from operating experience, maintenance procedures and training measures

International Nuclear Information System (INIS)

Guttner, K.; Gronau, D.

2003-01-01

Training programmes for nuclear facility personnel as a result of the developing phase of SAT have to be approved in the subsequent implementation and evaluation phases with the consequence of several feedback activities in the whole training process. The effectiveness of this procedure has to be evaluated especially with respect to an improvement of safety culture, shorter outage times or better plant performance, resulting in a smaller number of incidents due to human failures. The first two arguments are directly connected with all types of maintenance work in a nuclear power plant and the related preparatory training measures. The reduction of incidents due to human failures is the result of different influences, i.e. training of the operational as well as of the maintenance personnel together with changes of the operating procedures or system design. Though an evaluation of the training process should always be based on a clear definition of criteria by which the fulfilment of the learning objectives can be measured directly, the real effectiveness of training is proven by the behaviour and attitude of the personnel which can only be taken from indirect indicators. This is discussed in more detail for some examples being partly related to the above mentioned arguments. An excellent plant performance, representing a general objective of all activities, can be analysed by the changed number and reasons of incidents in a plant during its operation time. Two further examples are taken from the reactor service field where there is a tendency to reduce the individual dose rates by changed devices and/or procedures as an output from training experience with mockups. Finally the rationalisation of refresher training for operational personnel by the use of interactive teaching programs (Computer Based Training - CBT) is presented which integrate learning objectives together with a test module. (author)

The Role of Context in Third Graders’ Learning of Area Measurement

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Denny Haris

2011-01-01

Full Text Available Many researches showed that the most of students find the difficulty in measuring area. The formula of area tends to be taught directly without involving the conceptual basis and the area measurement are separated from children’s daily experiences. For this reason, the teaching and learning of area measurement was designed and link to a set of students’  experience-based activities. The context of this research is Indonesian traditional handicraft namely anyaman. The study is situated in the context of implementing an Indonesian version of Realistic Mathematics Education, labeled as PMRI in Indonesia. Design Research methodology comprising preliminary design, teaching experiment, and retrospective analysis is  applied. This research described  the investigation of the context as preliminary of teaching and learning about area measurement held in  3th grade of primary school  SDN 119 Palembang. The result of the teaching experiment showed that problem embedded in a context could encourage the students to develop the idea of area measurement concept. The strategies through emergent modeling showed how students’ contribution could be used to develop gradually their reasoning of area measurement concept. In the experience-based activities for learning area measurement, emergent modeling played an important role in the shift of students’ reasoning from informal level towards formal mathematical concepts of area measurement.Keywords: Area measurement, Anyaman, design research, PMRI DOI: http://dx.doi.org/10.22342/jme.2.1.778.55-66

Evaluating Types of Students' Interactions in a Wiki-Based Collaborative Learning Project

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Prokofieva, Maria

2013-01-01

Wiki technology has been promoted as a collaborative software platform. This study investigates interactions that occur in a wiki-based collaborative learning project. The study draws on interaction literature and investigates the types of interactions with which students are engaged in wiki-based group projects, clusters that reflect online…

Validation of an instrument to measure students' motivation and self-regulation towards technology learning

Science.gov (United States)

Liou, Pey-Yan; Kuo, Pei-Jung

2014-05-01

Background:Few studies have examined students' attitudinal perceptions of technology. There is no appropriate instrument to measure senior high school students' motivation and self-regulation toward technology learning among the current existing instruments in the field of technology education. Purpose:The present study is to validate an instrument for assessing senior high school students' motivation and self-regulation towards technology learning. Sample:A total of 1822 Taiwanese senior high school students (1020 males and 802 females) responded to the newly developed instrument. Design and method:The Motivation and Self-regulation towards Technology Learning (MSRTL) instrument was developed based on the previous instruments measuring students' motivation and self-regulation towards science learning. Exploratory and confirmatory factor analyses were utilized to investigate the structure of the items. Cronbach's alpha was applied for measuring the internal consistency of each scale. Furthermore, multivariate analysis of variance was used to examine gender differences. Results:Seven scales, including 'Technology learning self-efficacy,' 'Technology learning value,' 'Technology active learning strategies,' 'Technology learning environment stimulation,' 'Technology learning goal-orientation,' 'Technology learning self-regulation-triggering,' and 'Technology learning self-regulation-implementing' were confirmed for the MSRTL instrument. Moreover, the results also showed that male and female students did not present the same degree of preference in all of the scales. Conclusions:The MSRTL instrument composed of seven scales corresponding to 39 items was shown to be valid based on validity and reliability analyses. While male students tended to express more positive and active performance in the motivation scales, no gender differences were found in the self-regulation scales.

Types of vicarious learning experienced by pre-dialysis patients

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Kate McCarthy

2015-04-01

Full Text Available Objective: Haemodialysis and peritoneal dialysis renal replacement treatment options are in clinical equipoise, although the cost of haemodialysis to the National Health Service is £16,411/patient/year greater than peritoneal dialysis. Treatment decision-making takes place during the pre-dialysis year when estimated glomerular filtration rate drops to between 15 and 30 mL/min/1.73 m2. Renal disease can be familial, and the majority of patients have considerable health service experience when they approach these treatment decisions. Factors affecting patient treatment decisions are currently unknown. The objective of this article is to explore data from a wider study in specific relation to the types of vicarious learning experiences reported by pre-dialysis patients. Methods: A qualitative study utilised unstructured interviews and grounded theory analysis during the participant’s pre-dialysis year. The interview cohort comprised 20 pre-dialysis participants between 24 and 80 years of age. Grounded theory design entailed thematic sampling and analysis, scrutinised by secondary coding and checked with participants. Participants were recruited from routine renal clinics at two local hospitals when their estimated glomerular filtration rate was between 15 and 30 mL/min/1.73 m2. Results: Vicarious learning that contributed to treatment decision-making fell into three main categories: planned vicarious leaning, unplanned vicarious learning and historical vicarious experiences. Conclusion: Exploration and acknowledgement of service users’ prior vicarious learning, by healthcare professionals, is important in understanding its potential influences on individuals’ treatment decision-making. This will enable healthcare professionals to challenge heuristic decisions based on limited information and to encourage analytic thought processes.

Types of vicarious learning experienced by pre-dialysis patients.

Science.gov (United States)

McCarthy, Kate; Sturt, Jackie; Adams, Ann

2015-01-01

Haemodialysis and peritoneal dialysis renal replacement treatment options are in clinical equipoise, although the cost of haemodialysis to the National Health Service is £16,411/patient/year greater than peritoneal dialysis. Treatment decision-making takes place during the pre-dialysis year when estimated glomerular filtration rate drops to between 15 and 30 mL/min/1.73 m(2). Renal disease can be familial, and the majority of patients have considerable health service experience when they approach these treatment decisions. Factors affecting patient treatment decisions are currently unknown. The objective of this article is to explore data from a wider study in specific relation to the types of vicarious learning experiences reported by pre-dialysis patients. A qualitative study utilised unstructured interviews and grounded theory analysis during the participant's pre-dialysis year. The interview cohort comprised 20 pre-dialysis participants between 24 and 80 years of age. Grounded theory design entailed thematic sampling and analysis, scrutinised by secondary coding and checked with participants. Participants were recruited from routine renal clinics at two local hospitals when their estimated glomerular filtration rate was between 15 and 30 mL/min/1.73 m(2). Vicarious learning that contributed to treatment decision-making fell into three main categories: planned vicarious leaning, unplanned vicarious learning and historical vicarious experiences. Exploration and acknowledgement of service users' prior vicarious learning, by healthcare professionals, is important in understanding its potential influences on individuals' treatment decision-making. This will enable healthcare professionals to challenge heuristic decisions based on limited information and to encourage analytic thought processes.

Untrivial Pursuit: Measuring Motor Procedures Learning in Children with Autism.

Science.gov (United States)

Sparaci, Laura; Formica, Domenico; Lasorsa, Francesca Romana; Mazzone, Luigi; Valeri, Giovanni; Vicari, Stefano

2015-08-01

Numerous studies have underscored prevalence of motor impairments in children with autism spectrum disorders (ASD), but only few of them have analyzed motor strategies exploited by ASD children when learning a new motor procedure. To evaluate motor procedure learning and performance strategies in both ASD and typically developing (TD) children, we built a virtual pursuit rotor (VPR) task, requiring tracking a moving target on a computer screen using a digitalized pen and tablet. Procedural learning was measured as increased time on target (TT) across blocks of trials on the same day and consolidation was assessed after a 24-hour rest. The program and the experimental setting (evaluated in a first experiment considering two groups of TD children) allowed also measures of continuous time on target (CTT), distance from target (DT) and distance from path (DP), as well as 2D reconstructions of children's trajectories. Results showed that the VPR was harder for children with ASD than for TD controls matched for chronological age and intelligence quotient, but both groups displayed comparable motor procedure learning (i.e., similarly incremented their TT). However, closer analysis of CTT, DT, and DP as well as 2D trajectories, showed different motor performance strategies in ASD, highlighting difficulties in overall actions planning. Data underscore the need for deeper investigations of motor strategies exploited by children with ASD when learning a new motor procedure. © 2015 International Society for Autism Research, Wiley Periodicals, Inc.

Plasma density measurement with ring-type cutoff probe

International Nuclear Information System (INIS)

Kim, D.W.; You, S.J.; Na, B.K.; Kim, J.H.; Shin, Y.H.; Chang, H.Y.; Oh, W.Y.

2013-01-01

We proposed a cutoff probe with a ring-type detection tip enclosing a bar-type radiation tip. A comparative study between a proposed ring-type cutoff (RTC) probe and a conventional bar-type cutoff (BTC) probe showed that the RTC probe solved the problem of the BTC probe, the large measurement uncertainty of the electron density in a capacitively coupled plasma source. This improved characteristics of the RTC probe might have originated from the geometrical structure of the RTC probe concerning the monopole antennae radiation. This proposed cutoff probe can be expected to expand the applicable diagnostic range and to enhance the sensitivity of the cutoff probe. - Highlights: ► A cutoff probe with a ring type detection tip is proposed. ► Comparative experiment and simulation were conducted. ► The proposed probe showed a small uncertainty of measured plasma density. ► Improved characteristics might be originated from the geometrical structure

Pedagogical Agents as Learning Companions: The Role of Agent Competency and Type of Interaction

OpenAIRE

Kim, Yanghee; Baylor, Amy L.; PALS Group,

2006-01-01

This study was designed to examine the effects of the competency (low vs. high) and interaction type (proactive vs. responsive) of pedagogical agents as learning companions (PALs) on learning, self-efficacy, and attitudes. Participants were 72 undergraduates in an introductory computer-literacy course who were randomly assigned to one of four treatments: Low-Proactive, Low-Responsive, High-Proactive, and High-Responsive. Results indicated a main effect for PAL competency. Students who worked ...

Measuring Meaningful Learning in the Undergraduate Chemistry Laboratory: A National, Cross-Sectional Study

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Galloway, Kelli R.; Bretz, Stacey Lowery

2015-01-01

Research on laboratory learning points to the need to better understand what and how students learn in the undergraduate chemistry laboratory. The Meaningful Learning in the Laboratory Instrument (MLLI) was administered to general and organic chemistry students from 15 colleges and universities across the United States in order to measure the…

WISC-R Scatter and Patterns in Three Types of Learning Disabled Children.

Science.gov (United States)

Tabachnick, Barbara G.; Turbey, Carolyn B.

Wechsler Intelligence Scale for Children-Revised (WISC-R) subtest scatter and Bannatyne recategorization scores were investigated with three types of learning disabilities in children 6 to 16 years old: visual-motor and visual-perceptual disability (N=66); auditory-perceptual and receptive language deficit (N=18); and memory deficit (N=12). Three…

Mathematical Language Development and Talk Types in Computer Supported Collaborative Learning Environments

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Symons, Duncan; Pierce, Robyn

2015-01-01

In this study we examine the use of cumulative and exploratory talk types in a year 5 computer supported collaborative learning environment. The focus for students in this environment was to participate in mathematical problem solving, with the intention of developing the proficiencies of problem solving and reasoning. Findings suggest that…

Preferences for learning different types of genome sequencing results among young breast cancer patients: Role of psychological and clinical factors.

Science.gov (United States)

Kaphingst, Kimberly A; Ivanovich, Jennifer; Lyons, Sarah; Biesecker, Barbara; Dresser, Rebecca; Elrick, Ashley; Matsen, Cindy; Goodman, Melody

2018-01-29

The growing importance of genome sequencing means that patients will increasingly face decisions regarding what results they would like to learn. The present study examined psychological and clinical factors that might affect these preferences. 1,080 women diagnosed with breast cancer at age 40 or younger completed an online survey. We assessed their interest in learning various types of genome sequencing results: risk of preventable disease or unpreventable disease, cancer treatment response, uncertain meaning, risk to relatives' health, and ancestry/physical traits. Multivariable logistic regression was used to examine whether being "very" interested in each result type was associated with clinical factors: BRCA1/2 mutation status, prior genetic testing, family history of breast cancer, and psychological factors: cancer recurrence worry, genetic risk worry, future orientation, health information orientation, and genome sequencing knowledge. The proportion of respondents who were very interested in learning each type of result ranged from 16% to 77%. In all multivariable models, those who were very interested in learning a result type had significantly higher knowledge about sequencing benefits, greater genetic risks worry, and stronger health information orientation compared to those with less interest (p-values psychological factors. Shared decision-making approaches that increase knowledge about genome sequencing and incorporate patient preferences for health information and learning about genetic risks may help support patients' informed choices about learning different types of sequencing results. © Society of Behavioral Medicine 2018.

Young Children's Understandings of Length Measurement: Evaluating a Learning Trajectory

Science.gov (United States)

Szilagyi, Janka; Clements, Douglas H.; Sarama, Julie

2013-01-01

This study investigated the development of length measurement ideas in students from prekindergarten through 2nd grade. The main purpose was to evaluate and elaborate the developmental progression, or levels of thinking, of a hypothesized learning trajectory for length measurement to ensure that the sequence of levels of thinking is consistent…

Experimentally-induced learned helplessness in adolescents with type 1 diabetes.

Science.gov (United States)

McLaughlin, Elizabeth; Lefaivre, Marie-josée; Cummings, Elizabeth

2010-05-01

To determine whether adolescents with type 1 diabetes are more at risk for learned helplessness than their healthy peers. Twenty-three adolescents with diabetes and 25 controls completed a solvable or unsolvable concept formation task. All completed pre- and post-task performance and attribution ratings, and later completed an anagram-solving task to determine if perceived helplessness on the first task would negatively impact performance on the second. Participants in the unsolvable condition solved fewer anagrams; those with diabetes did not show weaker performance than controls. Participants in the solvable condition (diabetes and controls) showed an increase in internal attributions from before the concept formation task to after. In the unsolvable condition, only participants with diabetes made more external attributions for their failure. Contrary to the only other controlled study to use this paradigm in youth with chronic illness, adolescents with diabetes were not more susceptible to learned helplessness.

Model-Free Machine Learning in Biomedicine: Feasibility Study in Type 1 Diabetes.

Directory of Open Access Journals (Sweden)

Elena Daskalaki

Full Text Available Although reinforcement learning (RL is suitable for highly uncertain systems, the applicability of this class of algorithms to medical treatment may be limited by the patient variability which dictates individualised tuning for their usually multiple algorithmic parameters. This study explores the feasibility of RL in the framework of artificial pancreas development for type 1 diabetes (T1D. In this approach, an Actor-Critic (AC learning algorithm is designed and developed for the optimisation of insulin infusion for personalised glucose regulation. AC optimises the daily basal insulin rate and insulin:carbohydrate ratio for each patient, on the basis of his/her measured glucose profile. Automatic, personalised tuning of AC is based on the estimation of information transfer (IT from insulin to glucose signals. Insulin-to-glucose IT is linked to patient-specific characteristics related to total daily insulin needs and insulin sensitivity (SI. The AC algorithm is evaluated using an FDA-accepted T1D simulator on a large patient database under a complex meal protocol, meal uncertainty and diurnal SI variation. The results showed that 95.66% of time was spent in normoglycaemia in the presence of meal uncertainty and 93.02% when meal uncertainty and SI variation were simultaneously considered. The time spent in hypoglycaemia was 0.27% in both cases. The novel tuning method reduced the risk of severe hypoglycaemia, especially in patients with low SI.

Student Learning Styles and Performance in an Introductory Finance Class

Science.gov (United States)

Seiver, Daniel Alan; Haddad, Kamal; Do, Andrew

2014-01-01

Many academic disciplines have examined the role that variation in Jungian personality types plays in the academic performance of college students. Different personality types tend to have different learning styles, which in turn influence student performance in a variety of college courses. To measure the impact of learning styles on student…

Do dental hygiene students fit the learning profile of the millennial student?

Science.gov (United States)

Blue, Christine M

2009-12-01

Differences in learning and the cultural context of our students' life experiences are important variables that faculty members need to understand in order to be effective in the classroom. Faculty members are finding that millennial students' approaches to learning are often vastly different from their own and as a result feel frustrated in their ability to help these students with their learning needs. Cultivating awareness of how today's dental hygiene student learns as well as the millennial learner profile can help faculty members address this educational challenge. The purpose of this study was to identify the learning styles of three groups of dental hygiene students and determine if they fit the learning profile of the millennial student as measured by the Learning Type Measure. Given this new generation of learners, it was hypothesized that dental hygiene students' learning style preferences would fit the learning profile of the millennial student. The Learning Type Measure was administered to 101 dental hygiene students at the University of Minnesota, University of Arizona, and Virginia Commonwealth University. The results from the study revealed that dental hygiene students do exhibit learning style preferences consistent with the millennial learner profile.

The Beast of Aggregating Cognitive Load Measures in Technology-Based Learning

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Leppink, Jimmie; van Merriënboer, Jeroen J. G.

2015-01-01

An increasing part of cognitive load research in technology-based learning includes a component of repeated measurements, that is: participants are measured two or more times on the same performance, mental effort or other variable of interest. In many cases, researchers aggregate scores obtained from repeated measurements to one single sum or…

Types of Learning Problems

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... Ribbon Commands Skip to main content Turn off Animations Turn on Animations Our Sponsors Log in | Register Menu Log in | ... Article Body Dyslexia Dyslexia is defined as difficulty reading. When children are learning to read and write ...

An iterative learning strategy for the auto-tuning of the feedforward and feedback controller in type-1 diabetes.

Science.gov (United States)

Fravolini, M L; Fabietti, P G

2014-01-01

This paper proposes a scheme for the control of the blood glucose in subjects with type-1 diabetes mellitus based on the subcutaneous (s.c.) glucose measurement and s.c. insulin administration. The tuning of the controller is based on an iterative learning strategy that exploits the repetitiveness of the daily feeding habit of a patient. The control consists of a mixed feedback and feedforward contribution whose parameters are tuned through an iterative learning process that is based on the day-by-day automated analysis of the glucose response to the infusion of exogenous insulin. The scheme does not require any a priori information on the patient insulin/glucose response, on the meal times and on the amount of ingested carbohydrates (CHOs). Thanks to the learning mechanism the scheme is able to improve its performance over time. A specific logic is also introduced for the detection and prevention of possible hypoglycaemia events. The effectiveness of the methodology has been validated using long-term simulation studies applied to a set of nine in silico patients considering realistic uncertainties on the meal times and on the quantities of ingested CHOs.

Hard-Rock Stability Analysis for Span Design in Entry-Type Excavations with Learning Classifiers

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Esperanza García-Gonzalo

2016-06-01

Full Text Available The mining industry relies heavily on empirical analysis for design and prediction. An empirical design method, called the critical span graph, was developed specifically for rock stability analysis in entry-type excavations, based on an extensive case-history database of cut and fill mining in Canada. This empirical span design chart plots the critical span against rock mass rating for the observed case histories and has been accepted by many mining operations for the initial span design of cut and fill stopes. Different types of analysis have been used to classify the observed cases into stable, potentially unstable and unstable groups. The main purpose of this paper is to present a new method for defining rock stability areas of the critical span graph, which applies machine learning classifiers (support vector machine and extreme learning machine. The results show a reasonable correlation with previous guidelines. These machine learning methods are good tools for developing empirical methods, since they make no assumptions about the regression function. With this software, it is easy to add new field observations to a previous database, improving prediction output with the addition of data that consider the local conditions for each mine.

Hard-Rock Stability Analysis for Span Design in Entry-Type Excavations with Learning Classifiers.

Science.gov (United States)

García-Gonzalo, Esperanza; Fernández-Muñiz, Zulima; García Nieto, Paulino José; Bernardo Sánchez, Antonio; Menéndez Fernández, Marta

2016-06-29

The mining industry relies heavily on empirical analysis for design and prediction. An empirical design method, called the critical span graph, was developed specifically for rock stability analysis in entry-type excavations, based on an extensive case-history database of cut and fill mining in Canada. This empirical span design chart plots the critical span against rock mass rating for the observed case histories and has been accepted by many mining operations for the initial span design of cut and fill stopes. Different types of analysis have been used to classify the observed cases into stable, potentially unstable and unstable groups. The main purpose of this paper is to present a new method for defining rock stability areas of the critical span graph, which applies machine learning classifiers (support vector machine and extreme learning machine). The results show a reasonable correlation with previous guidelines. These machine learning methods are good tools for developing empirical methods, since they make no assumptions about the regression function. With this software, it is easy to add new field observations to a previous database, improving prediction output with the addition of data that consider the local conditions for each mine.

Statistical learning modeling method for space debris photometric measurement

Science.gov (United States)

Sun, Wenjing; Sun, Jinqiu; Zhang, Yanning; Li, Haisen

2016-03-01

Photometric measurement is an important way to identify the space debris, but the present methods of photometric measurement have many constraints on star image and need complex image processing. Aiming at the problems, a statistical learning modeling method for space debris photometric measurement is proposed based on the global consistency of the star image, and the statistical information of star images is used to eliminate the measurement noises. First, the known stars on the star image are divided into training stars and testing stars. Then, the training stars are selected as the least squares fitting parameters to construct the photometric measurement model, and the testing stars are used to calculate the measurement accuracy of the photometric measurement model. Experimental results show that, the accuracy of the proposed photometric measurement model is about 0.1 magnitudes.

Redefining "Learning" in Statistical Learning: What Does an Online Measure Reveal About the Assimilation of Visual Regularities?

Science.gov (United States)

Siegelman, Noam; Bogaerts, Louisa; Kronenfeld, Ofer; Frost, Ram

2017-10-07

From a theoretical perspective, most discussions of statistical learning (SL) have focused on the possible "statistical" properties that are the object of learning. Much less attention has been given to defining what "learning" is in the context of "statistical learning." One major difficulty is that SL research has been monitoring participants' performance in laboratory settings with a strikingly narrow set of tasks, where learning is typically assessed offline, through a set of two-alternative-forced-choice questions, which follow a brief visual or auditory familiarization stream. Is that all there is to characterizing SL abilities? Here we adopt a novel perspective for investigating the processing of regularities in the visual modality. By tracking online performance in a self-paced SL paradigm, we focus on the trajectory of learning. In a set of three experiments we show that this paradigm provides a reliable and valid signature of SL performance, and it offers important insights for understanding how statistical regularities are perceived and assimilated in the visual modality. This demonstrates the promise of integrating different operational measures to our theory of SL. © 2017 Cognitive Science Society, Inc.

Enrichment measurement in TRIGA type fuels

International Nuclear Information System (INIS)

Aguilar H, F.; Mazon R, R.

2001-05-01

The Department of Energy of the United States of North America, through the program 'Idaho Operations Nuclear Spent Fuel Program' of the Idaho National Engineering and Environmental Laboratory (INEEL), in Idaho Falls; Idaho USA, hires to Global Technologies Inc. (GTI) to develop a prototype device of detection enrichment uranium (DEU Detection of Enrichment of Uranium) to determine quantitatively the enrichment in remainder U-235 in a TRIGA fuel element at the end of it useful life. The characteristics of the prototype developed by GTI are the following ones: It allows to carry out no-destructive measurements of TRIGA type fuel. Easily transportable due to that reduced of it size. The determination of the enrichment (in grams of U-235) it is obtained with a precision of 5%. The National Institute of Nuclear Research (ININ), in its facilities of the Nuclear Center of Mexico, it has TRIGA type fuel of high and low enrichment (standard and FLIP) fresh and with burnt, it also has the infrastructure (hot cells, armor-plating of transport, etc) and qualified personnel to carry out the necessary maneuvers to prove the operation of the DEU prototype. For this its would be used standard type fuel elements and FLIP, so much fresh as with certain burnt one. In the case of the fresh fuels the measurement doesn't represent any risk, the fuels before and after the measurement its don't contain a quantity of fission products that its represent a radiological risk in its manipulation; but in the case of the fuels with burnt the handling of the same ones represents an important radiological risk reason why for its manipulation it was used the transport armor-plating and the hot cells. (Author)

COGNITIVE LOAD MEASUREMENT WITHIN THE RESEARCH OF EFFICIENT USAGE OF LEARNING SOFTWARE

Directory of Open Access Journals (Sweden)

Tetiana M. Derkach

2011-05-01

Full Text Available The methods of cognitive load measurement are described within the research of efficient usage of learning Software. Their classification is given, main advantages and disadvantages are analyzed, as well as area of use of these methods is defined. The article presents an overview of modern Software and Hardware that can be used for cognitive load measurement while studying with information technologies and practical examples of such methods. The use of the secondary task method is reasoned to be the most optimal for cognitive load measurement as well as for detection of optimal conditions for student work with different learning materials. This method allows to receive objective quantification of cognitive load and to investigate its dynamics accurately.

LEARNING ONE-DIGIT DECIMAL NUMBERS BY MEASUREMENT AND GAME PREDICTING LENGTH

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Puji Astuti

2014-01-01

Full Text Available This paper aims to describe how students develop understanding of one-digit decimals. To achieve the aim, Local Instruction Theory (LIT about the process of learning decimals and the means designed to support that learning are developed. Along with this idea, the framework of Realistic Mathematics Education (RME is proposed. Based on the aim, design research methodology is used. This paper discusses learning activities of three meetings from teaching experiment of the focus group students of the fourth grade elementary school in Surabaya: SDIT Al Ghilmani. The data indicated that the learning activities promoted the students’ understanding of one-digit decimal numbers.Keyword: measurement, decimal numbers, number line DOI: http://dx.doi.org/10.22342/jme.5.1.1447.35-46

Practical Measurement and Productive Persistence: Strategies for Using Digital Learning System Data to Drive Improvement

Science.gov (United States)

Krumm, Andrew E.; Beattie, Rachel; Takahashi, Sola; D'Angelo, Cynthia; Feng, Mingyu; Cheng, Britte

2016-01-01

This paper outlines the development of practical measures of productive persistence using digital learning system data. Practical measurement refers to data collection and analysis approaches originating from improvement science; productive persistence refers to the combination of academic and social mindsets as well as learning behaviours that…

E-learning in Type 1 Medical Universities of Iran

Directory of Open Access Journals (Sweden)

Mohammad Bagher ROKNI

2005-07-01

Full Text Available ABSTRACT Nowadays the Internet is the technological pedestal of organization in the information society and one of the main applications that the Internet offers is the Digital Library (DL. Each society, especially those that claim training of the public, predictably need implementation and endorsement these systems. The time of chalk and board is passed and the globalization and universal village demands a movement targeting to establish an information society. The university is said to be responsible for making "Human". In the era of information explosion, how can a university rely on a physical classroom, a tired teacher and some drowsy students listening to him? Internet "the sweet invention of man" is a bridge, between "slump" and "spurt". It is up to each authority in a university to design, employ, develop and evaluate a system embracing Internet, Multimedia, Network and so on to go parallel in modern era and to introduce the supreme system of E-learning in its program. Of different aspects of E-learning including computer networks, multimedia, search engines, electronic libraries, distance learning, and all that (Piskurich, 2003, most of the type 1 medical universities of Iran exploit, some how or another, all or some of them. These universities including Tehran, Iran, Shahid Beheshti, Mashhad, Isfahan, Tabriz, Shiraz, Ahwaz, and Kerman, at present encompass a powerful link with their audiences regarding digital libraries, search engine and authentic data bases. The present article is going to have a bird's eye view at various capacities of these universities in this regard.

Optimizing top precision performance measure of content-based image retrieval by learning similarity function

KAUST Repository

Liang, Ru-Ze

2017-04-24

In this paper we study the problem of content-based image retrieval. In this problem, the most popular performance measure is the top precision measure, and the most important component of a retrieval system is the similarity function used to compare a query image against a database image. However, up to now, there is no existing similarity learning method proposed to optimize the top precision measure. To fill this gap, in this paper, we propose a novel similarity learning method to maximize the top precision measure. We model this problem as a minimization problem with an objective function as the combination of the losses of the relevant images ranked behind the top-ranked irrelevant image, and the squared Frobenius norm of the similarity function parameter. This minimization problem is solved as a quadratic programming problem. The experiments over two benchmark data sets show the advantages of the proposed method over other similarity learning methods when the top precision is used as the performance measure.

Optimizing top precision performance measure of content-based image retrieval by learning similarity function

KAUST Repository

Liang, Ru-Ze; Shi, Lihui; Wang, Haoxiang; Meng, Jiandong; Wang, Jim Jing-Yan; Sun, Qingquan; Gu, Yi

2017-01-01

In this paper we study the problem of content-based image retrieval. In this problem, the most popular performance measure is the top precision measure, and the most important component of a retrieval system is the similarity function used to compare a query image against a database image. However, up to now, there is no existing similarity learning method proposed to optimize the top precision measure. To fill this gap, in this paper, we propose a novel similarity learning method to maximize the top precision measure. We model this problem as a minimization problem with an objective function as the combination of the losses of the relevant images ranked behind the top-ranked irrelevant image, and the squared Frobenius norm of the similarity function parameter. This minimization problem is solved as a quadratic programming problem. The experiments over two benchmark data sets show the advantages of the proposed method over other similarity learning methods when the top precision is used as the performance measure.

Effect of Type of Curriculum on Educational Outcomes and Motivation among Marketing Students with Different Learning Styles

Science.gov (United States)

Ackerman, David S.; Hu, Jing

2011-01-01

Using an active learning approach to motivate students to learn has been advocated by many educators. It has been an ongoing discussion on whether marketing educators should customize their teaching activities based on the learning styles found in their classes recently. This study uses a scale of learning styles that includes a measure of the…

Personality, Organizational Orientations and Self-Reported Learning Outcomes

Science.gov (United States)

Bamber, David; Castka, Pavel

2006-01-01

Purpose: To identify competencies connecting personality, organizational orientations and self-reported learning outcomes (as measured by concise Likert-type scales), for individuals who are learning for their organizations. Design/methodology/approach: Five concise factor scales were constructed to represent aspects of personality. Three further…

Relationship between English Learning Motivation Types and Self-Identity Changes among Chinese Students

Science.gov (United States)

Yihong, Gao; Yuan, Zhao; Ying, Cheng; Yan, Zhou

2007-01-01

This study investigated the relationship between English learning motivation types and self-identity changes among university students in the People's Republic of China. The sample obtained from a stratified sampling consisted of 2,278 undergraduates from 30 universities in 29 regions. The instrument was a Likert-scale questionnaire which included…

The effects of types of reflective scaffolding and language proficiency on the acquisition of physics knowledge in a game-based learning environment

Science.gov (United States)

Huang, Tsu-Ting

With the capability of creating a situated and engaging learning environment, video games have been considered as a powerful tool to enhance students' learning outcomes and interest in learning. Yet, little empirical evidence exists to support the effectiveness of video games in learning. Particularly, little attention has been given to the design of specific game elements. Focusing on middle school students, the goal of this study was to investigate the effects of two types of representations of reflective scaffolds (verbal and visual) on students' learning outcomes, game performance, and level of engagement in a video game for physics learning. In addition, the role of students' level of English proficiency was examined to understand whether the effects of reflective scaffolds were influenced by students' language proficiency. Two studies were conducted. Study 1 playtested the game with target players and led to game modification for its use in Study 2, which focused on the effects of different types of reflective scaffolds and level of English proficiency. The results of Study 2 showed that students who received both verbal and visual reflective scaffolds completed the most levels compared to the other groups in the given time. No significant effect of type of reflective scaffolds were found on learning outcomes despite the fact that the pattern of the learning outcomes across conditions was close to prediction. Participants' engagement in gameplay was high regardless of the type of scaffolds they received, their interest in learning physics, and their prior knowledge of physics. The results of video analysis also showed that the game used in this study was able to engage students not only in gameplay but also in learning physics. Finally, English proficiency functioned as a significant factor moderating the effects of scaffolds, learning outcomes and game performance. Students with limited English proficiency benefited more from visual reflective scaffolds than

Validation of a Comprehensive Executive Learning and Development Measure

Science.gov (United States)

Akrofi, Solomon; Clarke, Nicholas; Vernon, Guy

2011-01-01

Evaluating the returns on intangible assets in general and executive human capital in particular is still a challenging endeavour. One possible means of addressing this challenge involves developing a broad measure of executive learning and development (L&D), encapsulating both the formal and informal activities that closely reflect the dynamic…

The Relationship of Stated Learning Preferences, Personality Type, and Career Background to Academic and Leadership Performance at the United States Air Command and Staff College

Science.gov (United States)

1999-12-11

Kolb envisioned experiential 26 Table 2 Subscales on the NASSP Learning Styles Profile Cognitive Styles Perceptual Responses Analytic Skill...Research Type Theory and Learning Preferences Jung and the Theory of Psychological Types Isabel Briggs Myers’ Contribution to Jung’s Work The Myers...Implications Recommendations for Further Study Summary of Specific Conclusions Discussion Grounded Curriculum Learning Preferences Type Theory Student

Measurement of Usability for Multimedia Interactive Learning Based on Website in Mathematics for SMK

Science.gov (United States)

Sukardjo, Moch.; Sugiyanta, Lipur

2018-04-01

Web usability, if evaluation done correctly, can significantly improve the quality of the website. Website containing multimedia for education shoud apply user interfaces that are both easy to learn and easy to use. Multimedia has big role in changing the mindset of a person in learning. Using multimedia, learners get easy to obtain information, adjust information and empower information. Therefore, multimedia is utilized by teachers in developing learning techniques to improve student learning outcomes. For students with self-directed learning, multimedia provides the ease and completeness of the courses in such a way that students can complete the learning independently both at school and at home without the guidance of teachers. The learning independence takes place in how students choose, absorb information, and follow the evaluation quickly and efficiently. The 2013 Curriculum 2013 for Vocational High School (SMK) requires teachers to create engaging teaching and learning activities that students enjoy in the classroom (also called invitation learning environment). The creation of learning activity environment is still problem for most teachers. Various researches reveal that teaching and learning activities will be more effective and easy when assisted by visual tools. Using multimedia, learning material can be presented more attractively that help students understand the material easily. The opposite is found in the learning activity environment who only rely on ordinary lectures. Usability is a quality level of multimedia with easy to learn, easy to use and encourages users to use it. The website Multimedia Interactive Learning for Mathematics SMK Class X is targeted object. Usability website in Multimedia Interactive Learning for Mathematics SMK Class X is important indicators to measure effectiveness, efficiency, and student satisfaction to access the functionality of website. This usability measurement should be done carefully before the design is

Linking Individual Learning Styles to Approach-Avoidance Motivational Traits and Computational Aspects of Reinforcement Learning.

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Kristoffer Carl Aberg

Full Text Available Learning how to gain rewards (approach learning and avoid punishments (avoidance learning is fundamental for everyday life. While individual differences in approach and avoidance learning styles have been related to genetics and aging, the contribution of personality factors, such as traits, remains undetermined. Moreover, little is known about the computational mechanisms mediating differences in learning styles. Here, we used a probabilistic selection task with positive and negative feedbacks, in combination with computational modelling, to show that individuals displaying better approach (vs. avoidance learning scored higher on measures of approach (vs. avoidance trait motivation, but, paradoxically, also displayed reduced learning speed following positive (vs. negative outcomes. These data suggest that learning different types of information depend on associated reward values and internal motivational drives, possibly determined by personality traits.

Linking Individual Learning Styles to Approach-Avoidance Motivational Traits and Computational Aspects of Reinforcement Learning

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Carl Aberg, Kristoffer; Doell, Kimberly C.; Schwartz, Sophie

2016-01-01

Learning how to gain rewards (approach learning) and avoid punishments (avoidance learning) is fundamental for everyday life. While individual differences in approach and avoidance learning styles have been related to genetics and aging, the contribution of personality factors, such as traits, remains undetermined. Moreover, little is known about the computational mechanisms mediating differences in learning styles. Here, we used a probabilistic selection task with positive and negative feedbacks, in combination with computational modelling, to show that individuals displaying better approach (vs. avoidance) learning scored higher on measures of approach (vs. avoidance) trait motivation, but, paradoxically, also displayed reduced learning speed following positive (vs. negative) outcomes. These data suggest that learning different types of information depend on associated reward values and internal motivational drives, possibly determined by personality traits. PMID:27851807

Comparative measurements of exodeviations in the three types of intermittent exotropia

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Hong Wang

2014-12-01

Full Text Available AIM: To compare the results of 4 methods for measuring angle of exodeviation in the three types of intermittent exotropia, including when looking at indoor distance target of 6m, looking at indoor distance target of 30m, looking at outdoor far distance target, after 1h diagnostic occlusion test. METHODS: Prospective case series study. Sixty-five patients with intermittent exotropia between June 2013 and June 2014 were enrolled in the Department of Ophthalmology, Affiliated Hospital to Qingdao University, included 37 males and 28 females with average age(12.5±6.2years. All the patients were measured when looking at indoor distance target of 6m, looking at indoor distance target of 30m, looking at outdoor far distance target, after 1h diagnostic occlusion test. Intermittent exotropia was divided into basic type, convergence insufficiency type and divergence excess type, which was based on the different result of between the distance and near measurements. The One-way test was applied to analyze the four methods of measuring angle of exodeviation in the three types of intermittent exotropia. LSD-t test was applied to compare the differences between each two methods in each type.RESULTS: The distance exodeviations tested with looking at indoor distance target of 6m, looking at indoor distance target of 30m, looking at outdoor far distance target, after 1h diagnostic occlusion test were basic type(45.4±21.0, 55.0±15.0, 64.68±17.7, 68.75±16.6PD, convergence insufficiency type(33.3±14.0, 44.9±12.9, 43.6±11.8, 54.6±11.2PD, divergence excess type(55.6±17.4, 66.3±18.8, 76.9±16.4, 78.1±15.6PD. There were obviously differences between each two methods in each type(basic type F=9.649, P=0.00; convergence insufficiency type F=6.886, P=0.001; divergence excess type F=7.989, P=0.00. Compared with looking at indoor distance target of 30m, looking at outdoor far distance target(basic type P=0.044, divergence excess type P=0.048and after 1h diagnostic

The effect of subjective awareness measures on performance in artificial grammar learning task.

Science.gov (United States)

Ivanchei, Ivan I; Moroshkina, Nadezhda V

2018-01-01

Systematic research into implicit learning requires well-developed awareness-measurement techniques. Recently, trial-by-trial measures have been widely used. However, they can increase complexity of a study because they are an additional experimental variable. We tested the effects of these measures on performance in artificial grammar learning study. Four groups of participants were assigned to different awareness measures conditions: confidence ratings, post-decision wagering, decision strategy attribution or none. Decision-strategy-attribution participants demonstrated better grammar learning and longer response times compared to controls. They also exhibited a conservative bias. Grammaticality by itself was a stronger predictor of strings endorsement in decision-strategy-attribution group compared to other groups. Confidence ratings and post-decision wagering only affected the response times. These results were supported by an additional experiment that used a balanced chunk strength design. We conclude that a decision-strategy-attribution procedure may force participants to adopt an analytical decision-making strategy and rely mostly on conscious knowledge of artificial grammar. Copyright © 2017 Elsevier Inc. All rights reserved.

Do Dental Students' Personality Types and Group Dynamics Affect Their Performance in Problem-Based Learning?

Science.gov (United States)

Ihm, Jung-Joon; An, So-Youn; Seo, Deog-Gyu

2017-06-01

The aim of this study was to determine whether the personality types of dental students and their group dynamics were linked to their problem-based learning (PBL) performance. The Myers-Briggs Type Indicator (MBTI) instrument was used with 263 dental students enrolled in Seoul National University School of Dentistry from 2011 to 2013; the students had participated in PBL in their first year. A four-session PBL setting was designed to analyze how individual personality types and the diversity of their small groups were associated with PBL performance. Overall, the results showed that the personality type of PBL performance that was the most prominent was Judging. As a group became more diverse with its different constituent personality characteristics, there was a tendency for the group to be higher ranked in terms of PBL performance. In particular, the overperforming group was clustered around three major profiles: Extraverted Intuitive Thinking Judging (ENTJ), Introverted Sensing Thinking Judging (ISTJ), and Extraverted Sensing Thinking Judging (ESTJ). Personality analysis would be beneficial for dental faculty members in order for them to understand the extent to which cooperative learning would work smoothly, especially when considering group personalities.

Measuring the User Experience

Directory of Open Access Journals (Sweden)

Harry B. Santoso

2016-01-01

Full Text Available The aim of the current study is to develop an adapted version of User Experience Questionnaire (UEQ and evaluate a learning management system. Although there is a growing interest on User Experience, there are still limited resources (i.e. measurement tools or questionnaires available to measure user experience of any products, especially learning management systems. Two hundreds and thirteen computer science students participated and completed the adapted version of UEQ. In the study, the researchers used a learning management system named Student Centered e-Learning Environment (SCELE. Several types of learning materials are posted in SCELE such as audio files, simulations, PowerPoint slides, multimedia contents, and webpage links. Most of the lecturers use discussion forums in their courses to encourage students to participate in active learning setting. Staff and lecturers sometimes post academic-related announcements on the SCELE homepage. Two hundred thirteen students enrolled in Computer Science program were invited to evaluate the SCELE. This study will benefit UX practitioners, HCI educators, program and center of learning resources administrators, and learning management system developers. Findings of the present study may also be valuable for universities and high schools which are using computer-based learning environments.

Do textbooks address known learning challenges in area measurement? A comparative analysis

Science.gov (United States)

Hong, Dae S.; Choi, Kyong Mi; Runnalls, Cristina; Hwang, Jihyun

2018-02-01

This study compared area lessons from Korean textbooks and US standard-based textbooks to understand differences and similarities among these textbooks, as well as how these textbooks address known learning challenges in area measurement. Several well-known challenges have been identified in previous studies, such as covering, array structure, and linking array structure to area formula. We were interested in knowing if textbooks addressed these issues in their treatments of area measurement and, in doing so, provided students with opportunities to overcome or become familiar with known challenges. The results show that both countries' textbooks demonstrated similar limitations; only few area and area-related lessons are covered and three important learning challenges in area measurement are not covered well, which need to be informed to practicing teachers.

Measuring Meaningful Learning in the Undergraduate General Chemistry and Organic Chemistry Laboratories: A Longitudinal Study

Science.gov (United States)

Galloway, Kelli R.; Bretz, Stacey Lowery

2015-01-01

Understanding how students learn in the undergraduate chemistry teaching laboratory is an essential component to developing evidence-based laboratory curricula. The Meaningful Learning in the Laboratory Instrument (MLLI) was developed to measure students' cognitive and affective expectations and experiences for learning in the chemistry…

Effects of Computer Graphics Types and Epistemological Beliefs on Students' Learning of Mathematical Concepts.

Science.gov (United States)

Lin, Chi-Hui

2002-01-01

Describes a study that determined the implications of computer graphics types and epistemological beliefs with regard to the design of computer-based mathematical concept learning with elementary school students in Taiwan. Discusses the factor structure of the epistemological belief questionnaire, student performance, and students' attitudes…

Analysis of Traditional versus Three-Dimensional Augmented Curriculum on Anatomical Learning Outcome Measures

Science.gov (United States)

Peterson, Diana Coomes; Mlynarczyk, Gregory S.A.

2016-01-01

This study examined whether student learning outcome measures are influenced by the addition of three-dimensional and digital teaching tools to a traditional dissection and lecture learning format curricula. The study was performed in a semester long graduate level course that incorporated both gross anatomy and neuroanatomy curricula. Methods…

Learning Object Repositories

Science.gov (United States)

Lehman, Rosemary

2007-01-01

This chapter looks at the development and nature of learning objects, meta-tagging standards and taxonomies, learning object repositories, learning object repository characteristics, and types of learning object repositories, with type examples. (Contains 1 table.)

LEARNING AND E-MATERIALS

Directory of Open Access Journals (Sweden)

Barbara Bajd

2009-03-01

Full Text Available This paper addresses the use of e-materials in learning. Under pressure from the public,which is becoming increasingly conversant with IT, schools and also other non-formal types of learning are changing into e-classrooms and e-learning. Among parents and teachers, too, there is a widespread opinion that e-learning is more motivating and is more effective. On the other hand, a mass of research shows that e-materials are more effective only in specific areas, where a multimedia approach is needed, for instance in ophthalmic surgery, while everywhere else they are comparable to traditional teaching and learning in terms of both effectiveness and motivation. The paper also highlights the methodological problems of measuring motivation and learning success. Finally it presents e-material which was created taking into account the results of research in this field.

Assessing segmentation processes by click detection: online measure of statistical learning, or simple interference?

Science.gov (United States)

Franco, Ana; Gaillard, Vinciane; Cleeremans, Axel; Destrebecqz, Arnaud

2015-12-01

Statistical learning can be used to extract the words from continuous speech. Gómez, Bion, and Mehler (Language and Cognitive Processes, 26, 212-223, 2011) proposed an online measure of statistical learning: They superimposed auditory clicks on a continuous artificial speech stream made up of a random succession of trisyllabic nonwords. Participants were instructed to detect these clicks, which could be located either within or between words. The results showed that, over the length of exposure, reaction times (RTs) increased more for within-word than for between-word clicks. This result has been accounted for by means of statistical learning of the between-word boundaries. However, even though statistical learning occurs without an intention to learn, it nevertheless requires attentional resources. Therefore, this process could be affected by a concurrent task such as click detection. In the present study, we evaluated the extent to which the click detection task indeed reflects successful statistical learning. Our results suggest that the emergence of RT differences between within- and between-word click detection is neither systematic nor related to the successful segmentation of the artificial language. Therefore, instead of being an online measure of learning, the click detection task seems to interfere with the extraction of statistical regularities.

Evaluation Framework EFI for Measuring the Impact of Learning, Education and Training

NARCIS (Netherlands)

Stracke, Christian M.

2016-01-01

This article introduces the Evaluation Framework EFI for the Impact Measurement of learning, education and training: The Evaluation Framework for Impact Measurement was developed for specifying the evaluation phase and its objectives and tasks within the IDEAL Reference Model for the introduction

Alpha radioactivity measurement technology with ionized air type measurement. Applicability evaluation to verification of the clearance level

International Nuclear Information System (INIS)

Mita, Yutaka; Matsumura, Toshihiro; Yokoyama, Kaoru; Sugitsue, Noritake

2008-10-01

The purpose of this test is to evaluate the applicability of the clearance level measuring system by Ionized Air Type Measurement after decontaminated by sulfuric acid sample. In Ningyo-toge Environmental Engineering Center. The equipment and radioactive waste which were contaminated with uranium are generated so much in future dismantling stage. In our plan, some of equipments and radioactive waste are contaminated to a clearance level, and cut down on decommission and disposal expense. This plan needs the alpha-rays measurement technology of the very low level. We think that ionized Air transfer measurement technology is promising as of clearance verification technology. The ionized Air transfer measurement technology applied to the Ionized Air Type Measurement can measure plan radioactivity of a very low level. Moreover, as compared with a direct survey, there is the merit which can be measured in a short time. However ionized Air transfer measurement technology is new technology. Therefore, there is almost no measurement track record. Furthermore, the date about the influence of a background, a detection limit, measurement performance, and reliability is insufficient. So, this measurement test estimated applicability as clearance level verification of an Ionized Air Type Measurement. (author)

Implementation of learning outcome attainment measurement system in aviation engineering higher education

Science.gov (United States)

Salleh, I. Mohd; Mat Rani, M.

2017-12-01

This paper aims to discuss the effectiveness of the Learning Outcome Attainment Measurement System in assisting Outcome Based Education (OBE) for Aviation Engineering Higher Education in Malaysia. Direct assessments are discussed to show the implementation processes that become a key role in the successful outcome measurement system. A case study presented in this paper involves investigation on the implementation of the system in Aircraft Structure course for Bachelor in Aircraft Engineering Technology program in UniKL-MIAT. The data has been collected for five semesters, starting from July 2014 until July 2016. The study instruments used include the report generated in Learning Outcomes Measurements System (LOAMS) that contains information on the course learning outcomes (CLO) individual and course average performance reports. The report derived from LOAMS is analyzed and the data analysis has revealed that there is a positive significant correlation between the individual performance and the average performance reports. The results for analysis of variance has further revealed that there is a significant difference in OBE grade score among the report. Independent samples F-test results, on the other hand, indicate that the variances of the two populations are unequal.

Preliminary Measures of Instructor Learning in Teaching Junctional Tourniquet Users.

Science.gov (United States)

Kragh, John F; Aden, James K; Shackelford, Stacy; Dubick, Michael A

2016-01-01

The objective of the present study was to assess the effect of instructor learning on student performance in use of junctional tourniquets. From a convenience sample of data available after another study, we used a manikin for assessment of control of bleeding from a right groin gunshot wound. Blood loss was measured by the instructor while training users. The data set represented a group of 30 persons taught one at a time. The first measure was a plot of mean blood loss volumes for the sequential users. The second measure was a plot of the cumulative sum (CUSUM) of mean blood loss (BL) volumes for users. Mean blood loss trended down as the instructor gained experience with each newly instructed user. User performance continually improved as the instructor gained more experience with teaching. No plateau effect was observed within the 30 users. The CUSUM plot illustrated a turning point or cusp at the seventh user. The prior portion of the plot (users 1-7) had the greatest improvement; performance did not improve as much thereafter. The improvement after the seventh user was the only change detected in the instructor's trend of performance. The instructor's teaching experience appeared to directly affect user performance; in a model of junctional hemorrhage, the volume of blood loss from the manikin during junctional tourniquet placement was a useful metric of instructor learning. The CUSUM technique detected a small but meaningful change in trend where the instructor learning curve was greatest while working with the first seven users. 2016.

Height and Weight Estimation From Anthropometric Measurements Using Machine Learning Regressions.

Science.gov (United States)

Rativa, Diego; Fernandes, Bruno J T; Roque, Alexandre

2018-01-01

Height and weight are measurements explored to tracking nutritional diseases, energy expenditure, clinical conditions, drug dosages, and infusion rates. Many patients are not ambulant or may be unable to communicate, and a sequence of these factors may not allow accurate estimation or measurements; in those cases, it can be estimated approximately by anthropometric means. Different groups have proposed different linear or non-linear equations which coefficients are obtained by using single or multiple linear regressions. In this paper, we present a complete study of the application of different learning models to estimate height and weight from anthropometric measurements: support vector regression, Gaussian process, and artificial neural networks. The predicted values are significantly more accurate than that obtained with conventional linear regressions. In all the cases, the predictions are non-sensitive to ethnicity, and to gender, if more than two anthropometric parameters are analyzed. The learning model analysis creates new opportunities for anthropometric applications in industry, textile technology, security, and health care.

Measures of student success with textbook transformations: the Affordable Learning Georgia Initiative

Directory of Open Access Journals (Sweden)

Emily Croteau

2017-03-01

Full Text Available In 2014, the state of Georgia’s budget supported a University System of Georgia (USG initiative: Affordable Learning Georgia (ALG. The initiative was implemented via Textbook Transformation Grants, which provided grants to USG faculty, libraries and librarians, and institutions to “transform their use of textbooks and other learning materials into using lower cost options”, in other words to use open educational resources (OER in lieu of a traditional bound textbook. The Round One Textbook Transformation Grants have already shown to be successful in that they saved students approximately $760,000.  What is not known, is the collective impact on student learning. This study examines the learning gains or losses pre- and post-transformation in ALG Round One courses where traditional resources were replaced with OER.  It estimates differences between pre- and post- textbook transformation across the following outcomes: 1 Drop Fail Withdraw (DFW rates, 2 rates of completion, 3 numbers of students receiving a final grade of A or B, C and D, 4 numerical final grades as a percent, 5 final exam grades as a percent, and, 6 course-specific assessment grades measured in percent. Twenty-four data sets were analyzed for DFW rate, eight data sets for completion rate, fourteen data sets for grade distribution, three data sets for final exam grades, three data sets for course specific assessment and one data set for final grades. The null hypothesis that there would be no differences between pre- and post-transformation rates in these learning outcomes was supported.  Thus, this study demonstrates that the USG’s ALG initiative helped students save money without negatively impacting learning outcomes. In addition, it is the first of its kind to measure some of these learning outcomes (e.g. final exam grade, assessment grade, and distribution of letter grades at this scale.

NOTE FOR EDITOR: Development An Instrument To Measure 
University Students' Attitude Towards E-Learning

OpenAIRE

MEHRA, Vandana; OMIDIAN, Faranak

2015-01-01

The study of student’s attitude towards e-learning can in many ways help managers better prepare in light of e-learning for the future. This article describes the process of the development of an instrument to measure university students’ attitude towards e-learning. The scale was administered to 200 University students from two countries (India and Iran) .The 83-item attitude towards e-learning scale was developed on six domains as Perceived usefulness ; Intention to adopt e-learning ; Ease...

NOTE FOR EDITOR: Development An Instrument To Measure 
University Students' Attitude Towards E-Learning

OpenAIRE

MEHRA, Vandana; OMIDIAN, Faranak

2012-01-01

The study of student’s attitude towards e-learning can in many ways help managers better prepare in light of e-learning for the future. This article describes the process of the development of an instrument to measure university students’ attitude towards e-learning. The scale was administered to 200 University students from two countries (India and Iran) .The 83-item attitude towards e-learning scale was developed on six domains as Perceived usefulness ; Intention to adopt e-learning ; Ease...

A comparison of in-class learner engagement across lecture, problem-based learning, and team learning using the STROBE classroom observation tool.

Science.gov (United States)

Kelly, P Adam; Haidet, Paul; Schneider, Virginia; Searle, Nancy; Seidel, Charles L; Richards, Boyd F

2005-01-01

Having recently introduced team learning into the preclinical medical curriculum, evidence of the relative impact of this instructional method on in-class learner engagement was sought. To compare patterns of engagement behaviors among learners in class sessions across 3 distinct instructional methods: lecture, problem-based learning (PBL), and team learning. Trained observers used the STROBE classroom observation tool to measure learner engagement in 7 lecture, 4 PBL, and 3 team learning classrooms over a 12-month period. Proportions of different types of engagement behaviors were compared using chi-square. In PBL and team learning, the amount of learner-to-learner engagement was similar and much greater than in lecture, where most engagement was of the learner-to-instructor and self-engagement types. Also, learner-to-instructor engagement appeared greater in team learning than in PBL. Observed engagement behaviors confirm the potential of team learning to foster engagement similar to PBL, but with greater faculty input.

LEARNING STYLES AND STUDENTS’ PERFORMANCE IN DESIGN PROBLEM SOLVING

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Elçin Tezel

2010-07-01

Full Text Available Design curricula and all core design studio courses are prepared for performance attainment by giving theoretical and professional training. However students’ performance may be affected by both the constraints set on a design problem, and their learning styles. This study explores the performance of interior architectural students in relation to their learning styles (as proposed by Kolb’s Experiential Learning Theory, and different types of constraints set on design problems. Design performance, measured as conceptual development, form and spatial configuration, structural innovation and ergonomics, and craftsmanship, was found to change throughout the two bipolar continuum of the learning cycle with regard to two design conditions characterized by different types of constraint use.

Concurrent Dynamics of Category Learning and Metacognitive Judgments

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Valnea Žauhar

2016-09-01

Full Text Available In two experiments, we examined the correspondence between the dynamics of metacognitive judgments and classification accuracy when participants were asked to learn category structures of different levels of complexity, i.e., to learn tasks of types I, II and III according to Shepard, Hovland, and Jenkins (1961. The stimuli were simple geometrical figures varying in the following three dimensions: color, shape, and size. In Experiment 1, we found moderate positive correlations between confidence and accuracy in task type II and weaker correlation in task type I and III. Moreover, the trend analysis in the backward learning curves revealed that there is a non-linear trend in accuracy for all three task types, but the same trend was observed in confidence for the task type I and II but not for task type III. In Experiment 2, we found that the feeling-of-warmth judgments (FOWs showed moderate positive correlation with accuracy in all task types. Trend analysis revealed a similar non-linear component in accuracy and metacognitive judgments in task type II and III but not in task type I. Our results suggest that FOWs are a more sensitive measure of the progress of learning than confidence because FOWs capture global knowledge about the category structure, while confidence judgments are given at the level of an individual exemplar.

Indirect Measures of Learning Transfer between Real and Virtual Environments

Science.gov (United States)

Garrett, Michael; McMahon, Mark

2013-01-01

This paper reports on research undertaken to determine the effectiveness of a 3D simulation environment used to train mining personnel in emergency evacuation procedures, designated the Fires in Underground Mines Evacuation Simulator (FUMES). Owing to the operational constraints of the mining facility, methods for measuring learning transfer were…

Measuring University Students' Approaches to Learning Statistics: An Invariance Study

Science.gov (United States)

Chiesi, Francesca; Primi, Caterina; Bilgin, Ayse Aysin; Lopez, Maria Virginia; del Carmen Fabrizio, Maria; Gozlu, Sitki; Tuan, Nguyen Minh

2016-01-01

The aim of the current study was to provide evidence that an abbreviated version of the Approaches and Study Skills Inventory for Students (ASSIST) was invariant across different languages and educational contexts in measuring university students' learning approaches to statistics. Data were collected on samples of university students attending…

The Effect of Learning Type and Avatar Similarity on Learning Outcomes in Educational Video Games

Science.gov (United States)

Lewis, Melissa L.

2009-01-01

Two theories guide two very different ideas about learning. Social cognitive theory (Bandura, 1977, 1989) places the greater emphasis on observational learning, or learning by watching a model produce a behavior before doing it oneself. Other researchers purport that experiential learning, or learning by doing, results in stronger learning (Kolb,…

Breakout: An Open Measurement and Intervention Tool for Distributed Peer Learning Groups

OpenAIRE

Calacci, Dan; Lederman, Oren; Shrier, David; Pentland, Alex 'Sandy'

2016-01-01

We present Breakout, a group interaction platform for online courses that enables the creation and measurement of face-to-face peer learning groups in online settings. Breakout is designed to help students easily engage in synchronous, video breakout session based peer learning in settings that otherwise force students to rely on asynchronous text-based communication. The platform also offers data collection and intervention tools for studying the communication patterns inherent in online lea...

Incidental Learning: A Brief, Valid Measure of Memory Based on the WAIS-IV Vocabulary and Similarities Subtests.

Science.gov (United States)

Spencer, Robert J; Reckow, Jaclyn; Drag, Lauren L; Bieliauskas, Linas A

2016-12-01

We assessed the validity of a brief incidental learning measure based on the Similarities and Vocabulary subtests of the Wechsler Adult Intelligence Scale-Fourth Edition (WAIS-IV). Most neuropsychological assessments for memory require intentional learning, but incidental learning occurs without explicit instruction. Incidental memory tests such as the WAIS-III Symbol Digit Coding subtest have existed for many years, but few memory studies have used a semantically processed incidental learning model. We conducted a retrospective analysis of 37 veterans with traumatic brain injury, referred for outpatient neuropsychological testing at a Veterans Affairs hospital. As part of their evaluation, the participants completed the incidental learning tasks. We compared their incidental learning performance to their performance on traditional memory measures. Incidental learning scores correlated strongly with scores on the California Verbal Learning Test-Second Edition (CVLT-II) and Brief Visuospatial Memory Test-Revised (BVMT-R). After we conducted a partial correlation that controlled for the effects of age, incidental learning correlated significantly with the CVLT-II Immediate Free Recall, CVLT-II Short-Delay Recall, CVLT-II Long-Delay Recall, and CVLT-II Yes/No Recognition Hits, and with the BVMT-R Delayed Recall and BVMT-R Recognition Discrimination Index. Our incidental learning procedures derived from subtests of the WAIS-IV Edition are an efficient and valid way of measuring memory. These tasks add minimally to testing time and capitalize on the semantic encoding that is inherent in completing the Similarities and Vocabulary subtests.

The external-internal loop of interference: two types of attention and their influence on the learning abilities of mice.

Science.gov (United States)

Sauce, Bruno; Wass, Christopher; Smith, Andrew; Kwan, Stephanie; Matzel, Louis D

2014-12-01

Attention is a component of the working memory system, and is responsible for protecting task-relevant information from interference. Cognitive performance (particularly outside of the laboratory) is often plagued by interference, and the source of this interference, either external or internal, might influence the expression of individual differences in attentional ability. By definition, external attention (also described as "selective attention") protects working memory against sensorial distractors of all kinds, while internal attention (also called "inhibition") protects working memory against emotional impulses, irrelevant information from memory, and automatically-generated responses. At present, it is unclear if these two types of attention are expressed independently in non-human animals, and how they might differentially impact performance on other cognitive processes, such as learning. By using a diverse battery of four attention tests (with varying levels of internal and external sources of interference), here we aimed both to explore this issue, and to obtain a robust and general (less task-specific) measure of attention in mice. Exploratory factor analyses revealed two factors (external and internal attention) that in total, accounted for 73% of the variance in attentional performance. Confirmatory factor analyses found an excellent fit with the data of the model of attention that assumed an external and internal distinction (with a resulting correlation of 0.43). In contrast, a model of attention that assumed one source of variance (i.e., "general attention") exhibited a poor fit with the data. Regarding the relationship between attention and learning, higher resistance against external sources of interference promoted better new learning, but tended to impair performance when cognitive flexibility was required, such as during the reversal of a previously instantiated response. The present results suggest that there can be (at least) two types of

Developing a Comparative Measure of the Learning Climate in Professional Schools

Science.gov (United States)

Bowen, Donald D.; Kilmann, Ralph H.

1975-01-01

The Learning Climate Questionnaire (LCQ) compares the objective properties of schools with measures of overall student satisfaction. The validity of the instrument suggests its use for substantive research investigations into the organizational dynamics of professional schools. (Author/JR)

Behavioral similarity measurement based on image processing for robots that use imitative learning

Science.gov (United States)

Sterpin B., Dante G.; Martinez S., Fernando; Jacinto G., Edwar

2017-02-01

In the field of the artificial societies, particularly those are based on memetics, imitative behavior is essential for the development of cultural evolution. Applying this concept for robotics, through imitative learning, a robot can acquire behavioral patterns from another robot. Assuming that the learning process must have an instructor and, at least, an apprentice, the fact to obtain a quantitative measurement for their behavioral similarity, would be potentially useful, especially in artificial social systems focused on cultural evolution. In this paper the motor behavior of both kinds of robots, for two simple tasks, is represented by 2D binary images, which are processed in order to measure their behavioral similarity. The results shown here were obtained comparing some similarity measurement methods for binary images.

I Don’t Want to Miss a Thing – Learning Dynamics and Effects of Feedback Type and Monetary Incentive in a Paired Associate Deterministic Learning Task

Directory of Open Access Journals (Sweden)

Magda Gawlowska

2017-06-01

Full Text Available Effective functioning in a complex environment requires adjusting of behavior according to changing situational demands. To do so, organisms must learn new, more adaptive behaviors by extracting the necessary information from externally provided feedback. Not surprisingly, feedback-guided learning has been extensively studied using multiple research paradigms. The purpose of the present study was to test the newly designed Paired Associate Deterministic Learning task (PADL, in which participants were presented with either positive or negative deterministic feedback. Moreover, we manipulated the level of motivation in the learning process by comparing blocks with strictly cognitive, informative feedback to blocks where participants were additionally motivated by anticipated monetary reward or loss. Our results proved the PADL to be a useful tool not only for studying the learning process in a deterministic environment, but also, due to the varying task conditions, for assessing differences in learning patterns. Particularly, we show that the learning process itself is influenced by manipulating both the type of feedback information and the motivational significance associated with the expected monetary reward.

Rasch measurement of self-regulated learning in an information and communication technology (ICT)-rich environment.

Science.gov (United States)

Njiru, Joseph N; Waugh, Russell F

2007-01-01

This report describes how a linear scale of self-regulated learning in an ICT-rich environment was created by analysing student data using the Rasch measurement model. A person convenience sample of (N = 409) university students in Western Australia was used. The stem-item sample was initially 41, answered in two perspectives ("I aim for this" and "I actually do this"), and reduced to 16 that fitted the measurement model to form a unidimensional scale. Items for motivation (extrinsic rewards, intrinsic rewards, and social rewards), academic goals (fear of performing poorly) (but not standards), self-learning beliefs (ability and interest), task management (strategies and time management) (but not cooperative learning), Volition (action control (but not environmental control), and self-evaluation (cognitive self-evaluation and metacognition) fitted the measurement model. The proportion of observed variance considered true was 0.90. A new instrument is proposed to handle the conceptually valid but non-fitting items. Characteristics of high self-regulated learners are measured.

Quality of Life Measurement and Its Use in the Field of Learning Disabilities.

Science.gov (United States)

Lefort, Shelley; Fraser, Mary

2002-01-01

This article examines issues in the measurement of quality of life (QOL) within the field of learning disabilities. Discussion considers objective and subjective measures, value-based and value-free approaches, and traditional versus participatory approaches. The issue of using self-reports or proxies to gather and measure QOL data is addressed. A…

An Activity-based Approach to the Learning and Teaching of Research Methods: Measuring Student Engagement and Learning

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Eimear Fallon

2013-05-01

Full Text Available This paper discusses a research project carried out with 82 final and third year undergraduate students, learning Research Methods prior to undertaking an undergraduate thesis during the academic years 2010 and 2011. The research had two separate, linked objectives, (a to develop a Research Methods module that embraces an activity-based approach to learning in a group environment, (b to improve engagement by all students. The Research Methods module was previously taught through a traditional lecture-based format. Anecdotally, it was felt that student engagement was poor and learning was limited. It was believed that successful completion of the development of this Module would equip students with a deeply-learned battery of research skills to take into their further academic and professional careers. Student learning was achieved through completion of a series of activities based on different research methods. In order to encourage student engagement, a wide variety of activities were used. These activities included workshops, brainstorming, mind-mapping, presentations, written submissions, peer critiquing, lecture/seminar, and ‘speed dating’ with more senior students and self reflection. Student engagement was measured through a survey based on a U.S. National Survey of Student Engagement (2000. A questionnaire was devised to establish whether, and to what degree, students were engaged in the material that they were learning, while they were learning it. The results of the questionnaire were very encouraging with between 63% and 96% of students answering positively to a range of questions concerning engagement. In terms of the two objectives set, these were satisfactorily met. The module was successfully developed and continues to be delivered, based upon this new and significant level of student engagement.

Developing and feasibility testing of data collection methods for an economic evaluation of a supported selfmanagement programme for adults with a learning disability and type 2 diabetes.

Science.gov (United States)

O'Dwyer, John L; Russell, Amy M; Bryant, Louise D; Walwyn, Rebecca E A; Wright-Hughes, Alexandra M; Graham, Elizabeth H; Wright, Judy M; Meer, Shaista; Birtwistle, Jacqueline; Farrin, Amanda J; House, Allan O; Hulme, Claire T

2018-01-01

The challenges of conducting research with hard to reach vulnerable groups are particularly pertinent for people with learning disabilities. Data collection methods for previous cost and cost-effectiveness analyses of health and social care interventions targeting people with learning disabilities have relied on health care/health insurance records or data collection forms completed by the service provider rather than by people with learning disabilities themselves. This paper reports on the development and testing of data collection methods for an economic evaluation within a randomised controlled trial (RCT) for a supported self-management programme for people with mild/moderate learning disabilities and type 2 diabetes. A case finding study was conducted to identify types of health and social care use and data collection methods employed in previous studies with this population. Based on this evidence, resource use questionnaires for completion by GP staff and interviewer-administered participant questionnaires (covering a wider cost perspective and health-related quality of life) were tested within a feasibility RCT. Interviewer-administered questionnaires included the EQ-5D-3L (the NICE recommended measure for use in economic evaluation). Participants were adults > 18 years with a mild or moderate learning disability and type 2 diabetes, with mental capacity to give consent to research participation. Data collection for questionnaires completed by GP staff requesting data for the last 12 months proved time intensive and difficult. Whilst 82.3% (121/147) of questionnaires were returned, up to 17% of service use items were recorded as unknown. Subsequently, a shorter recall period (4 months) led to a higher return rate but with a higher rate of missing data. Missing data for interviewer-administered participant questionnaires was > 8% but the interviewers reported difficulty with participant recall. Almost 60% (48/80) of participants had difficulty

Do Science Teachers Distinguish Between Their own Learning and the Learning of Their Students?

Science.gov (United States)

Brauer, Heike; Wilde, Matthias

2018-02-01

Learning beliefs influence learning and teaching. For this reason, teachers and teacher educators need to be aware of them. To support students' knowledge construction, teachers must develop appropriate learning and teaching beliefs. Teachers appear to have difficulties when analysing students' learning. This seems to be due to the inability to differentiate the beliefs about their students' learning from those about their own learning. Both types of beliefs seem to be intertwined. This study focuses on whether pre-service teachers' beliefs about their own learning are identical to those about their students' learning. Using a sample of pre-service teachers, we measured general beliefs about "constructivist" and "transmissive" learning and science-specific beliefs about "connectivity" and "taking pre-concepts into account". We also analysed the development of these four beliefs during teacher professionalisation by comparing beginning and advanced pre-service teachers. Our results show that although pre-service teachers make the distinction between their own learning and the learning of their students for the general tenets of constructivist and transmissive learning, there is no significant difference for science-specific beliefs. The beliefs pre-service teachers hold about their students' science learning remain closely tied to their own.

Development and Validation of Mobile Learning Acceptance Measure

Science.gov (United States)

Sharma, Sujeet Kumar; Sarrab, Mohamed; Al-Shihi, Hafedh

2017-01-01

The growth of Smartphone usage, increased acceptance of electronic learning (E-learning), the availability of high reliability mobile networks and need for flexibility in learning have resulted in the growth of mobile learning (M-learning). This has led to a tremendous interest in the acceptance behaviors related to M-learning users among the…

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…

Explaining Differences in Learning Outcomes in Auditing Education

DEFF Research Database (Denmark)

Holm, Claus; Steenholdt, Niels

as well as the accounting profession. This paper extends prior research on the role of declarative and procedural knowledge in performing auditing tasks. Measuring learning outcomes is a complex matter requiring sensible measures for both declarative knowledge (ability to verbalize pertinent facts...... or processes) and procedural knowledge (intellectual skills). The performance of 75 graduate accounting students representing both types of schema is examined. The findings suggest that differences in learning outcomes may be attributed to differences in student background and prior knowledge (auditing...

A measurement fusion method for nonlinear system identification using a cooperative learning algorithm.

Science.gov (United States)

Xia, Youshen; Kamel, Mohamed S

2007-06-01

Identification of a general nonlinear noisy system viewed as an estimation of a predictor function is studied in this article. A measurement fusion method for the predictor function estimate is proposed. In the proposed scheme, observed data are first fused by using an optimal fusion technique, and then the optimal fused data are incorporated in a nonlinear function estimator based on a robust least squares support vector machine (LS-SVM). A cooperative learning algorithm is proposed to implement the proposed measurement fusion method. Compared with related identification methods, the proposed method can minimize both the approximation error and the noise error. The performance analysis shows that the proposed optimal measurement fusion function estimate has a smaller mean square error than the LS-SVM function estimate. Moreover, the proposed cooperative learning algorithm can converge globally to the optimal measurement fusion function estimate. Finally, the proposed measurement fusion method is applied to ARMA signal and spatial temporal signal modeling. Experimental results show that the proposed measurement fusion method can provide a more accurate model.

Mastering TypeScript

CERN Document Server

Rozentals, Nathan

2015-01-01

Whether you are a JavaScript developer aiming to learn TypeScript, or an experienced TypeScript developer wanting to take your skills to the next level, this book is for you. From basic to advanced language constructs, test-driven development, and object-oriented techniques, you will learn how to get the most out of the TypeScript language.

Use of Active Learning to Design Wind Tunnel Runs for Unsteady Cavity Pressure Measurements

Directory of Open Access Journals (Sweden)

Ankur Srivastava

2014-01-01

Full Text Available Wind tunnel tests to measure unsteady cavity flow pressure measurements can be expensive, lengthy, and tedious. In this work, the feasibility of an active machine learning technique to design wind tunnel runs using proxy data is tested. The proposed active learning scheme used scattered data approximation in conjunction with uncertainty sampling (US. We applied the proposed intelligent sampling strategy in characterizing cavity flow classes at subsonic and transonic speeds and demonstrated that the scheme has better classification accuracies, using fewer training points, than a passive Latin Hypercube Sampling (LHS strategy.

EFFECTIVENESS OF LEARNING PROCESS USING “WEB TECHNOLOGY” IN THE DISTANCE LEARNING SYSTEM

Directory of Open Access Journals (Sweden)

Manoj KILLEDAR

2008-10-01

Full Text Available Web is a globally distributed, still highly personalized media for cost-effective delivery of multimedia information and services. Web is expected to have a strong impact on almost every aspect of how we learn. ‘Total Quality’ is the totality of features, as perceived by the customers of the product or service. Totality of features includes stated as well as implied needs and expectations of all types of customers. No quality improvement is possible without its unambiguous measurement. But, ‘Total Quality’ of the learning experience in ‘Open and Distance Education System’ cannot be measured unless it is expressed in measurable clear terms which include complete spectrum of student support and educational services. A model for ‘Total Quality’ of an open and distance education system was used to measure impact of the “Web Technology” on the ‘Total Quality’ of the learning experience in ‘Open and Distance Education System’. Evidence indicates that application of the proposed model for ‘Total Quality’ and ‘Web Technology’ can simultaneously optimize quality, access and cost. Thus, a better learning experience can be provided even in open and distance education system, which can be comparable with the best. This study found that it was difficult for the subjects to decide the clear cut superiority regarding the effectiveness of ‘Traditional Classroom’ or ‘Virtual Classroom’.

Isotopic measurement of uranium using NP-type chelate resin beads

International Nuclear Information System (INIS)

Wu Lanbi; Chen Wenpo; Wang Shijun

1994-08-01

NP-type chelate resin beads is used as a carrier of samples in the isotopic measurements of uranium by mass spectrometry. The results show that its absorption efficiency for uranium can be greater than 50%. It is one order magnitude higher than that strong basic anion resin, however, the ionization efficiencies of both are almost the same. Therefore, the amount of uranium required for isotopic analysis can be reduced one order of magnitude. This method has been used for isotopic analysis of uranium in NP-type chelate resin beads contained 10 -9 ∼ 10 -7 g uranium. For standard sample UTB-500, the external precision of measurements are within +-0.2%, for natural uranium samples are within +- 0.5%. The application of NP-type chelate resin beads in the isotopic measurement of uranium is a new creative achievement. It has been used in the depletion test of uranium-atomic vapor laser isotope separation

Measuring Learning Outcomes. Evolution of Cognitive Skills among Graduate Students in Auditing

DEFF Research Database (Denmark)

Holm, Claus; Steenholdt, Niels

with the knowledge provided in a graduate course the student learns from his prior experiences and stores the important aspects of each experience in memory in accordance with such schemas. The schemas available for students taking a graduate auditing course reflects prior accounting work experience for some...... students and undergraduate accounting coursework experience for all students. This paper extends prior research on the role of declarative and procedural knowledge in performing auditing tasks. Measuring learning outcomes is a complex matter requiring sensible measures for both declarative knowledge...... outcomes in the context of an auditing course by posing a broad set of questions testing declarative knowledge and the full range of intellectual skills from discrimination to the use of higher-order-rules . The paper presents data collected in September 1999 including 34 graduate students representing...

Developing an instrument to measure effective factors on Clinical Learning.

Science.gov (United States)

Dadgaran, Ideh; Shirazi, Mandana; Mohammadi, Aeen; Ravari, Ali

2016-07-01

Although nursing students spend a large part of their learning period in the clinical environment, clinical learning has not been perceived by its nature yet. To develop an instrument to measure effective factors on clinical learning in nursing students. This is a mixed methods study performed in 2 steps. First, the researchers defined "clinical learning" in nursing students through qualitative content analysis and designed items of the questionnaire based on semi-structured individual interviews with nursing students. Then, as the second step, psychometric properties of the questionnaire were evaluated using the face validity, content validity, construct validity, and internal consistency evaluated on 227 students from fourth or higher semesters. All the interviews were recorded and transcribed, and then, they were analyzed using Max Qualitative Data Analysis and all of qualitative data were analyzed using SPSS 14. To do the study, we constructed the preliminary questionnaire containing 102 expressions. After determination of face and content validities by qualitative and quantitative approaches, the expressions of the questionnaire were reduced to 45. To determine the construct validity, exploratory factor analysis was applied. The results indicated that the maximum variance percentage (40.55%) was defined by the first 3 factors while the rest of the total variance percentage (59.45%) was determined by the other 42 factors. Results of exploratory factor analysis of this questionnaire indicated the presence of 3 instructor-staff, students, and educational related factors. Finally, 41 expressions were kept in 3 factor groups. The α-Cronbach coefficient (0.93) confirmed the high internal consistency of the questionnaire. Results indicated that the prepared questionnaire was an efficient instrument in the study of the effective factors on clinical learning as viewed by nursing students since it involves 41 expressions and properties such as instrument design based

A Measurable Model of the Creative Process in the Context of a Learning Process

Science.gov (United States)

Ma, Min; Van Oystaeyen, Fred

2016-01-01

The authors' aim was to arrive at a measurable model of the creative process by putting creativity in the context of a learning process. The authors aimed to provide a rather detailed description of how creative thinking fits in a general description of the learning process without trying to go into an analysis of a biological description of the…

Mixed Messages: Measuring Conformance and Non-Interference in TypeScript (Artifact)

OpenAIRE

Williams, Jack; Morris, J. Garrett; Wadler, Philip; Zalewski, Jakub

2017-01-01

In the paper Mixed Messages: Measuring Conformance and Non-Interference in TypeScript we present our experiences of evaluating gradual typing using our tool TypeScript TPD. The tool, based on the polymorphic blame calculus, monitors JavaScript libraries and TypeScript clients against the corresponding TypeScript definition. Our experiments yield two conclusions. First, TypeScript definitions are prone to error. Second, there are serious technical concerns with the use of the JavaScript proxy ...

Using concept mapping to measure changes in interdisciplinary learning during high school

Directory of Open Access Journals (Sweden)

Priit Reiska

2018-03-01

Full Text Available How, when and what kind of learning takes place are key questions in all educational environments. School graduates are expected to have reached a development level whereby they have, among many fundamental skills, the ability to think critically, to plan their studies and their future, and to integrate knowledge across disciplines. However, it is challenging to develop these skills in schools. Following existing curricula, disciplines are often taught separately and by different teachers, making it difficult for students to connect knowledge studied and learned from one discipline to that of another discipline. The Next Generation Science Standards on teaching and learning natural science in the United States point out important crosscutting concepts in science education (NGSS, 2013. In Estonia, similar trends are leading to an emphasis on the need to further develop scientific literacy skills and interdisciplinary learning in students. The changing environment around us must be reflected in changes in our school system. In this paper, we report on research that intends to answer the questions: (a “How much do Estonian students develop an interdisciplinary understanding of science throughout their high school education?”, and (b “Is their thinking more interdisciplinary after two years of studies in an Estonian high school?” Additionally, we analyzed the results based on the type of school the students attended, and we examined the use concept mapping to assess interdisciplinary learning. This research is part of an overall study that involved students from 44 Estonian high schools taking a science test similar to the three-dimensional Programme for International Student Assessment (PISA test (hereafter called PISA-like multidimensional test as well as constructing concept maps, while in 10th and 12th grade. In this paper, we report on the analysis of the results for 182 of the students, concentrating on the analysis of the concept maps

Statistical and machine learning approaches for network analysis

CERN Document Server

Dehmer, Matthias

2012-01-01

Explore the multidisciplinary nature of complex networks through machine learning techniques Statistical and Machine Learning Approaches for Network Analysis provides an accessible framework for structurally analyzing graphs by bringing together known and novel approaches on graph classes and graph measures for classification. By providing different approaches based on experimental data, the book uniquely sets itself apart from the current literature by exploring the application of machine learning techniques to various types of complex networks. Comprised of chapters written by internation

Understanding Mathematic Concept in Relation and Function Method through Active Learning Type Group to Group Distributed LKS

Science.gov (United States)

Kudri, F.; Rahmi, R.; Haryono, Y.

2018-04-01

This research is motivated by the lack of understanding of mathematical concepts students and teachers have not familiarize students discussed in groups. This researchaims to determine whether an understanding of mathematical concepts junior class VIII SMPN 2 in Ranah Batahan Kabupaten Pasaman Barat by applying active learning strategy group to group types with LKS better than conventional learning. The type of research is experimental the design of randomized trials on the subject. The population in the study were all students VIII SMPN 2 Ranah Batahan Kabupaten Pasaman Barat in year 2012/2013 which consists of our class room experiment to determine the grade and control class with do nerandomly, so that classes VIII1 elected as a experiment class and class VIII4 as a control class. The instruments used in the test empirically understanding mathematical concepts are shaped by the essay with rt=0,82 greater than rt=0,468 means reliable tests used. The data analysis technique used is the test with the help of MINITAB. Based on the results of the data analisis known that both of the sample are normal and homogenity in real rate α = 0,05, so the hypothesis of this research is received. So, it can be concluded students’ understanding mathematical concept applied the active Group to Group learning strategy with LKS is better than the students’ understanding mathematical concept with Conventional Learning.

Learning Analytics Through Serious Games: Data Mining Algorithms for Performance Measurement and Improvement Purposes

Directory of Open Access Journals (Sweden)

Abdelali Slimani

2018-01-01

Full Text Available learning analytics is an emerging discipline focused on the measurement, collection, analysis and reporting of learner interaction data through the E-learning contents. Serious game provides a potential source for relevant educational user data; it can propose an interactive environment for training and offer an effective learning process. This paper presents methods and approaches of educational data mining such as EM and K-Means to discuss the learning analytics through serious games, and then we provide an analysis of the player experience data collected from the educational game “ELISA” used to teach students of biology the immunological technique for determination of ANTI-HIV antibodies. Finally, we propose critically evaluation of our results including the limitations of our study and making suggestions for future research that links learning analytics and serious gaming.

Combining fMRI and behavioral measures to examine the process of human learning.

Science.gov (United States)

Karuza, Elisabeth A; Emberson, Lauren L; Aslin, Richard N

2014-03-01

Prior to the advent of fMRI, the primary means of examining the mechanisms underlying learning were restricted to studying human behavior and non-human neural systems. However, recent advances in neuroimaging technology have enabled the concurrent study of human behavior and neural activity. We propose that the integration of behavioral response with brain activity provides a powerful method of investigating the process through which internal representations are formed or changed. Nevertheless, a review of the literature reveals that many fMRI studies of learning either (1) focus on outcome rather than process or (2) are built on the untested assumption that learning unfolds uniformly over time. We discuss here various challenges faced by the field and highlight studies that have begun to address them. In doing so, we aim to encourage more research that examines the process of learning by considering the interrelation of behavioral measures and fMRI recording during learning. Copyright © 2013 Elsevier Inc. All rights reserved.

Low power RF measurements of travelling wave type linear accelerator

International Nuclear Information System (INIS)

Reddy, Sivananda; Wanmode, Yashwant; Bhisikar, A.; Shrivastava, Purushottam

2015-01-01

RRCAT is engaged in the development of travelling wave (TW) type linear accelerator for irradiation of industrial and agricultural products. TW accelerator designed for 2π/3 mode to operate at frequency of 2856 MHz. It consists of input coupler, buncher cells, regular cells and output coupler. Low power measurement of this structure includes measurement of resonant frequency of the cells for different resonant modes and quality factor, tuning of input-output coupler and measurement of phase advance per cell and electric field in the structure. Steele's non-resonant perturbation technique has been used for measurement of phase advance per cell and electric field in the structure. Kyhl's method has been used for the tuning of input-output coupler. Computer based automated bead pull set-up has been developed for measurement of phase advance per cell and electric field profile in the structure. All the codes are written in Python for interfacing of Vector Network Analyzer (VNA) , stepper motor with computer. These codes also automate the measurement process. This paper describes the test set- up for measurement and results of measurement of travelling wave type linear accelerating structure. (author)

More than just tapping: index finger-tapping measures procedural learning in schizophrenia.

Science.gov (United States)

Da Silva, Felipe N; Irani, Farzin; Richard, Jan; Brensinger, Colleen M; Bilker, Warren B; Gur, Raquel E; Gur, Ruben C

2012-05-01

Finger-tapping has been widely studied using behavioral and neuroimaging paradigms. Evidence supports the use of finger-tapping as an endophenotype in schizophrenia, but its relationship with motor procedural learning remains unexplored. To our knowledge, this study presents the first use of index finger-tapping to study procedural learning in individuals with schizophrenia or schizoaffective disorder (SCZ/SZA) as compared to healthy controls. A computerized index finger-tapping test was administered to 1169 SCZ/SZA patients (62% male, 88% right-handed), and 689 healthy controls (40% male, 93% right-handed). Number of taps per trial and learning slopes across trials for the dominant and non-dominant hands were examined for motor speed and procedural learning, respectively. Both healthy controls and SCZ/SZA patients demonstrated procedural learning for their dominant hand but not for their non-dominant hand. In addition, patients showed a greater capacity for procedural learning even though they demonstrated more variability in procedural learning compared to healthy controls. Left-handers of both groups performed better than right-handers and had less variability in mean number of taps between non-dominant and dominant hands. Males also had less variability in mean tap count between dominant and non-dominant hands than females. As expected, patients had a lower mean number of taps than healthy controls, males outperformed females and dominant-hand trials had more mean taps than non-dominant hand trials in both groups. The index finger-tapping test can measure both motor speed and procedural learning, and motor procedural learning may be intact in SCZ/SZA patients. Copyright © 2012 Elsevier B.V. All rights reserved.

How Does the Type of Task Influence the Performance and Social Regulation of Collaborative Learning?

Science.gov (United States)

Acuña, Santiago Roger; López-Aymes, Gabriela; Acuña-Castillo, Silvia T.

2018-01-01

In this paper we analyze the effects of the type of collaborative task (elaboration of concept map vs elaboration of expository summary) on the performance and on the level of collaboration achieved by Mexican university students in the multimedia learning of a social sciences content (Communication Psychology). Likewise, the processes of social…

Impacts of Different Types of Measurements on Estimating Unsaturatedflow Parameters

Science.gov (United States)

Shi, L.

2015-12-01

This study evaluates the value of different types of measurements for estimating soil hydraulic parameters. A numerical method based on ensemble Kalman filter (EnKF) is presented to solely or jointly assimilate point-scale soil water head data, point-scale soil water content data, surface soil water content data and groundwater level data. This study investigates the performance of EnKF under different types of data, the potential worth contained in these data, and the factors that may affect estimation accuracy. Results show that for all types of data, smaller measurements errors lead to faster convergence to the true values. Higher accuracy measurements are required to improve the parameter estimation if a large number of unknown parameters need to be identified simultaneously. The data worth implied by the surface soil water content data and groundwater level data is prone to corruption by a deviated initial guess. Surface soil moisture data are capable of identifying soil hydraulic parameters for the top layers, but exert less or no influence on deeper layers especially when estimating multiple parameters simultaneously. Groundwater level is one type of valuable information to infer the soil hydraulic parameters. However, based on the approach used in this study, the estimates from groundwater level data may suffer severe degradation if a large number of parameters must be identified. Combined use of two or more types of data is helpful to improve the parameter estimation.

Examining the Effects of Training According to Learning Styles on Self-care among Patients with Type 2 Diabetes

Directory of Open Access Journals (Sweden)

Amir Reza Saleh Moghadam

2017-01-01

Full Text Available Background: Despite the implementation of new training programs, neglecting individual differences in terms of learning styles can be taken into account as one of the reasons for poor levels of self-care behaviors in patients suffering from diabetes. Aim: The purpose of the present study was to examine the effect of training according to the learning styles on self-care behaviors among individuals suffering from type 2 diabetes. Method: This randomized, controlled clinical trial was performed on 69 diabetic patients referring to Parsian Clinic in Mashhad, Iran, who were divided into experimental (comprised of four aural, visual, read-write, and kinesthetic-sensory groups based on the results of the VARK [Visual, Auditory, Read/Write, Kinesthetic] Learning Styles Questionnaire and control (lecture-based education. Self-care training was also conducted during two sessions each two weeks on four domains of diet, exercise program adherence, blood glucose monitoring, and insulin intake. To analyze the data, independent samples t-test and Mann-Whitney U test were run, using SPSS version 21. Results: Based on the independent samples t-test, in the experimental and control groups, the total mean scores of self-care behaviors were not significantly different prior to the intervention (135.2±17.6, 129.7±27.6, respectively. However, a statistically significant difference was noted between the experimental and control groups regarding the total mean scores of self-care behaviors (164.1±7.6, 140.5±10.0, respectively; P=0.001. Conclusion: It was concluded that self-care training based on learning styles could be improved among patients with diabetes. The VARK Learning Styles Questionnaire could be used to facilitate this type of training through providing information about learning and teaching methods as well as using the media appropriate to individuals’ learning styles.

Single-cell LEP-type cavity on measurement stand

CERN Multimedia

CERN PhotoLab

1982-01-01

A single-cell cavity, made of copper, with tapered connectors for impedance measurements. It was used as a model of LEP-type superconducting cavities, to investigate impedance and higher-order modes and operated at around 600 MHz (the LEP acceleration frequency was 352.2 MHz). See 8202500.

Photometric classification of type Ia supernovae in the SuperNova Legacy Survey with supervised learning

Energy Technology Data Exchange (ETDEWEB)

Möller, A. [Research School of Astronomy and Astrophysics, Australian National University, Canberra, ACT 2611 (Australia); Ruhlmann-Kleider, V.; Leloup, C.; Neveu, J.; Palanque-Delabrouille, N.; Rich, J. [Irfu, SPP, CEA Saclay, F-91191 Gif sur Yvette Cedex (France); Carlberg, R. [Department of Astronomy and Astrophysics, University of Toronto, 50 St. George Street, Toronto, ON M5S 3H8 (Canada); Lidman, C. [Australian Astronomical Observatory, North Ryde, NSW 2113 (Australia); Pritchet, C., E-mail: anais.moller@anu.edu.au, E-mail: vanina.ruhlmann-kleider@cea.fr, E-mail: clement.leloup@cea.fr, E-mail: jneveu@lal.in2p3.fr, E-mail: nathalie.palanque-delabrouille@cea.fr, E-mail: james.rich@cea.fr, E-mail: raymond.carlberg@utoronto.ca, E-mail: chris.lidman@aao.gov.au, E-mail: pritchet@uvic.ca [Department of Physics and Astronomy, University of Victoria, P.O. Box 3055, Victoria, BC V8W 3P6 (Canada)

2016-12-01

In the era of large astronomical surveys, photometric classification of supernovae (SNe) has become an important research field due to limited spectroscopic resources for candidate follow-up and classification. In this work, we present a method to photometrically classify type Ia supernovae based on machine learning with redshifts that are derived from the SN light-curves. This method is implemented on real data from the SNLS deferred pipeline, a purely photometric pipeline that identifies SNe Ia at high-redshifts (0.2 < z < 1.1). Our method consists of two stages: feature extraction (obtaining the SN redshift from photometry and estimating light-curve shape parameters) and machine learning classification. We study the performance of different algorithms such as Random Forest and Boosted Decision Trees. We evaluate the performance using SN simulations and real data from the first 3 years of the Supernova Legacy Survey (SNLS), which contains large spectroscopically and photometrically classified type Ia samples. Using the Area Under the Curve (AUC) metric, where perfect classification is given by 1, we find that our best-performing classifier (Extreme Gradient Boosting Decision Tree) has an AUC of 0.98.We show that it is possible to obtain a large photometrically selected type Ia SN sample with an estimated contamination of less than 5%. When applied to data from the first three years of SNLS, we obtain 529 events. We investigate the differences between classifying simulated SNe, and real SN survey data. In particular, we find that applying a thorough set of selection cuts to the SN sample is essential for good classification. This work demonstrates for the first time the feasibility of machine learning classification in a high- z SN survey with application to real SN data.

Photometric classification of type Ia supernovae in the SuperNova Legacy Survey with supervised learning

International Nuclear Information System (INIS)

Möller, A.; Ruhlmann-Kleider, V.; Leloup, C.; Neveu, J.; Palanque-Delabrouille, N.; Rich, J.; Carlberg, R.; Lidman, C.; Pritchet, C.

2016-01-01

In the era of large astronomical surveys, photometric classification of supernovae (SNe) has become an important research field due to limited spectroscopic resources for candidate follow-up and classification. In this work, we present a method to photometrically classify type Ia supernovae based on machine learning with redshifts that are derived from the SN light-curves. This method is implemented on real data from the SNLS deferred pipeline, a purely photometric pipeline that identifies SNe Ia at high-redshifts (0.2 < z < 1.1). Our method consists of two stages: feature extraction (obtaining the SN redshift from photometry and estimating light-curve shape parameters) and machine learning classification. We study the performance of different algorithms such as Random Forest and Boosted Decision Trees. We evaluate the performance using SN simulations and real data from the first 3 years of the Supernova Legacy Survey (SNLS), which contains large spectroscopically and photometrically classified type Ia samples. Using the Area Under the Curve (AUC) metric, where perfect classification is given by 1, we find that our best-performing classifier (Extreme Gradient Boosting Decision Tree) has an AUC of 0.98.We show that it is possible to obtain a large photometrically selected type Ia SN sample with an estimated contamination of less than 5%. When applied to data from the first three years of SNLS, we obtain 529 events. We investigate the differences between classifying simulated SNe, and real SN survey data. In particular, we find that applying a thorough set of selection cuts to the SN sample is essential for good classification. This work demonstrates for the first time the feasibility of machine learning classification in a high- z SN survey with application to real SN data.

Implementation of cooperative learning model type STAD with RME approach to understanding of mathematical concept student state junior high school in Pekanbaru

Science.gov (United States)

Nurhayati, Dian Mita; Hartono

2017-05-01

This study aims to determine whether there is a difference in the ability of understanding the concept of mathematics between students who use cooperative learning model Student Teams Achievement Division type with Realistic Mathematic Education approach and students who use regular learning in seventh grade SMPN 35 Pekanbaru. This study was quasi experiments with Posttest-only Control Design. The populations in this research were all the seventh grade students in one of state junior high school in Pekanbaru. The samples were a class that is used as the experimental class and one other as the control class. The process of sampling is using purposive sampling technique. Retrieval of data in this study using the documentation, observation sheets, and test. The test use t-test formula to determine whether there is a difference in student's understanding of mathematical concepts. Before the t-test, should be used to test the homogeneity and normality. Based in the analysis of these data with t0 = 2.9 there is a difference in student's understanding of mathematical concepts between experimental and control class. Percentage of students experimental class with score more than 65 was 76.9% and 56.4% of students control class. Thus be concluded, the ability of understanding mathematical concepts students who use the cooperative learning model type STAD with RME approach better than students using the regular learning. So that cooperative learning model type STAD with RME approach is well used in learning process.

The effect of humidity on the measurements with a well type chamber

International Nuclear Information System (INIS)

2001-01-01

Since 1996, the IAEA maintains standards for Low Dose Rate (LDR) brachytherapy dosimetry. The sources have been calibrated at the National Institute for Standards and Technology (NIST), USA. Thus, the well type chamber calibrations provided by the IAEA yield traceability to NIST. For the maintenance of the standards, a well type chamber (HDR 1000 Plus, Standard Imaging, USA) and a dedicated electrometer (CDX-2000A, Standard Imaging, USA) are used. The constancy of the output from the standards is checked frequently and always prior to a well type chamber calibration. The calibration factors are valid at the ambient conditions of 20 deg. C and 101.3 kPa. For air cavity chambers, the International Commission on Radiation Units and Measurements (ICRU) recommends that the measured charge or current be corrected for the presence of water vapour in the air. The recommended correction factor is 0.997 for measurements in an external 60 Co beam and at ambient RH between 20% RH and 70% RH. A similar recommendation does not exist for well type chamber dosimetry, and consequently, no correction is applied for the presence of water vapour in air. It is important that the periodic variation of the output be solved. In order to find out its cause, the SSDLs possessing a well type chamber are asked to perform similar frequent constancy checks and report the results to the IAEA. The following should be stated in the report: 1. Measured currents (or charge) corrected for temperature and pressure and source decay with a statement of the used half-life. 2. Dates of measurement. It is recommended that the measurements be done frequently, preferably on a weekly basis, or at least twice a month, for a period of approximately 6 months. 3. Type of source used in the constancy checks (e.g. 137 Cs, 241 Am) including its strength (e.g. in terms of reference air kerma rate, air kerma strength, apparent activity or any other quantity). 4. Electrometer model. 5. Type of well type chamber. Note

Online neural monitoring of statistical learning.

Science.gov (United States)

Batterink, Laura J; Paller, Ken A

2017-05-01

The extraction of patterns in the environment plays a critical role in many types of human learning, from motor skills to language acquisition. This process is known as statistical learning. Here we propose that statistical learning has two dissociable components: (1) perceptual binding of individual stimulus units into integrated composites and (2) storing those integrated representations for later use. Statistical learning is typically assessed using post-learning tasks, such that the two components are conflated. Our goal was to characterize the online perceptual component of statistical learning. Participants were exposed to a structured stream of repeating trisyllabic nonsense words and a random syllable stream. Online learning was indexed by an EEG-based measure that quantified neural entrainment at the frequency of the repeating words relative to that of individual syllables. Statistical learning was subsequently assessed using conventional measures in an explicit rating task and a reaction-time task. In the structured stream, neural entrainment to trisyllabic words was higher than in the random stream, increased as a function of exposure to track the progression of learning, and predicted performance on the reaction time (RT) task. These results demonstrate that monitoring this critical component of learning via rhythmic EEG entrainment reveals a gradual acquisition of knowledge whereby novel stimulus sequences are transformed into familiar composites. This online perceptual transformation is a critical component of learning. Copyright © 2017 Elsevier Ltd. All rights reserved.

The Major Field Test in Business: A Direct Measure of Learning in Common Business Disciplines

Science.gov (United States)

Simmons, Susan A.; Jones, Wesley M., Jr; Bolt, Cynthia E.

2015-01-01

Assurance of learning and its assessment are critical focal points in collegiate schools of business as programs strive to achieve or maintain Association to Advance Collegiate Schools of Business accreditation. Prior research suggests that student learning in business core disciplines can be measured by the Educational Testing Service Major Field…

Stability and control of Lur'e-type measure differential inclusions

NARCIS (Netherlands)

Wouw, van de N.; Leine, R.I.; Leonov, G.; Nijmeijer, H.; Pogromsky, A.; Fradkov, A.

2010-01-01

In this paper we present results on, firstly, the stability analysis for perturbed Lur'e-type measure differential inclusions and, secondly, the tracking control problem for this class of systems. The framework of measure differential inclusions allows us to describe systems with discontinuities in

[Long-term effect of a cognitive intervention on learning and participation in a significant leisure activity in early dementia of Alzheimer type: a case study].

Science.gov (United States)

Provencher, Véronique; Bier, Nathalie; Audet, Thérèse; Gagnon, Lise

2009-06-01

Decreased ability to accomplish significant leisure activities often occurs in early stages of dementia of Alzheimer type (DAT). As a long term effect, it may eventually affect the quality of life of the patient as well as that of the caregiver's. In a previous study, a woman with early DAT (77 years old, MMSE: 24/30) improved her participation in 2 leisure activities (listening to music and praying in a group) following the learning of a few tasks (e.g. using a radio cassette, remembering the significance of an pre-programmed ring) as a result of a cognitive intervention. The present study presents the long term effect of this intervention on the retention of the learned tasks and on spontaneous participation in both leisure activities of her daily living. Measures of tasks' learning and spontaneous participation in activities have been obtained through direct observation (ex: ability to use the tasks learned without assistance) and telephone conversations with the caregiver. The measures were taken 9 to 15 months post-intervention. Nine months after the end of the intervention, the participant could no longer use the radio cassette, but was able to remember the significance of the pre-programmed ring. Similarly, she stopped listening to music, but still attended her prayer group. The intervention appears to maintain participation in a leisure activity for several months in a patient with early DAT, in spite of expected functional decline. This functional impact can be achieved through retention of specific learned tasks as well as by strong external cues (daily pre-programmed ring), and can increase the quality of life for patients with DAT.

Declarative and procedural learning in children and adolescents with posterior fossa tumours

Directory of Open Access Journals (Sweden)

Casares Encarnación

2006-03-01

Full Text Available Abstract Background This quasi-experimental study was designed to assess two important learning types – procedural and declarative – in children and adolescents affected by posterior fossa tumours (astrocytoma vs. medulloblastoma, given that memory has an important impact on the child's academic achievement and personal development. Methods We had three groups: two clinical (eighteen subjects and one control (twelve subjects. The learning types in these groups were assessed by two experimental tasks evaluating procedural-implicit and declarative memory. A Serial Reaction-Time Task was used to measure procedural sequence learning, and the Spanish version 1 of the California Verbal Learning Test-Children's Version- CVLT- 2 to measure declarative-explicit learning. The learning capacity was assessed considering only the blocks that represent learning, and were compared with MANOVA in clinical and normal subjects. The Raven, simple reaction-time, finger-tapping test, and grooved pegboard tests were used to assess the overall functioning of subjects. The results were compared with those from a control group of the same age, and with Spanish norm-referenced tools where available Results The results indicate the absence of procedural-implicit learning in both clinical groups, whereas declarative-explicit learning is maintained in both groups. Conclusion The clinical groups showed a conservation of declarative learning and a clear impairment of procedural learning. The results support the role of the cerebellum in the early phase of procedural learning.

Measuring Longitudinal Student Performance on Student Learning Outcomes in Sustainability Education

Science.gov (United States)

Jarchow, Meghann E.; Formisano, Paul; Nordyke, Shane; Sayre, Matthew

2018-01-01

Purpose: The purpose of this paper is to describe the student learning outcomes (SLOs) for a sustainability major, evaluate faculty incorporation of the SLOs into the courses in the sustainability major curriculum and measure student performance on the SLOs from entry into the major to the senior capstone course. Design/methodology/approach:…

Measuring Engagement and Learning Outcomes During a Teacher Professional Development Workshop about Creative Climate Communication

Science.gov (United States)

Morrison, A.; Gold, A. U.; Soltis, N.; McNeal, K.; Kay, J. E.

2017-12-01

Climate science and global climate change are complex topics that require system-level thinking and the application of general science concepts. Identifying effective instructional approaches for improving climate literacy is an emerging research area with important broader impacts. Active learning techniques can ensure engagement throughout the learning process and increase retention of climate science content. Conceptual changes that can be measured as lasting learning gains occur when both the cognitive and affective domain are engaged. Galvanic skin sensors are a relatively new technique to directly measure engagement and cognitive load in science education. We studied the engagement and learning gains of 16 teachers throughout a one-day teacher professional development workshop focused on creative strategies to communicate about climate change. The workshop consisted of presentations about climate science, climate communication, storytelling and filmmaking, which were delivered using different pedagogical approaches. Presentations alternated with group exercises, clicker questions, videos and discussions. Using a pre-post test design we measured learning gains and attitude changes towards climate change among participating teachers. Each teacher wore a hand sensor to measure galvanic skin conductance as a proxy for emotional engagement. We surveyed teachers to obtain self-reflection data on engagement and on their skin conductance data during and after the workshop. Qualitative data provide critical information to aid the interpretation of skin conductance readings. Based on skin conductance data, teachers were most engaged during group work, discussions and videos as compared to lecture-style presentations. We discuss the benefits and limitations of using galvanic skin sensors to inform the design of teacher professional development opportunities. Results indicate that watching videos or doing interactive activities may be the most effective strategies for

Metacognition in Self-Regulated Multimedia Learning: Integrating Behavioural, Psychophysiological and Introspective Measures

Science.gov (United States)

Antonietti, Alessandro; Colombo, Barbara; Di Nuzzo, Chiara

2015-01-01

This study aims at investigating students' strategies--as revealed by behavioural, psychophysiological and introspective measures--which are applied during the free exploration of multimedia instructional presentations, which requires students to self-regulate their learning processes. Two multimedia presentations were constructed and presented to…

Developing an instrument to measure effective factors on clinical learning

Directory of Open Access Journals (Sweden)

IDEH DADGARAN

2016-07-01

Full Text Available Introduction: Although nursing students spend a large part of their learning period in the clinical environment, clinical learning has not been perceived by its nature yet. To develop an instrument to measure effective factors on clinical learning in nursing students. Methods: This is a mixed methods study performed in 2 steps. First, the researchers defined “clinical learning” in nursing students through qualitative content analysis and designed items of the questionnaire based on semi-structured individual interviews with nursing students. Then, as the second step, psychometric properties of the questionnaire were evaluated using the face validity, content validity, construct validity, and internal consistency evaluated on 227 students from fourth or higher semesters. All the interviews were recorded and transcribed, and then, they were analyzed using Max Qualitative Data Analysis and all of qualitative data were analyzed using SPSS 14. Results: To do the study, we constructed the preliminary questionnaire containing 102 expressions. After determination of face and content validities by qualitative and quantitative approaches, the expressions of the questionnaire were reduced to 45. To determine the construct validity, exploratory factor analysis was applied. The results indicated that the maximum variance percentage (40.55% was defined by the first 3 factors while the rest of the total variance percentage (59.45% was determined by the other 42 factors. Results of exploratory factor analysis of this questionnaire indicated the presence of 3 instructor-staff, students, and educational related factors. Finally, 41 expressions were kept in 3 factor groups. The α-Cronbach coefficient (0.93 confirmed the high internal consistency of the questionnaire. Conclusion: Results indicated that the prepared questionnaire was an efficient instrument in the study of the effective factors on clinical learning as viewed by nursing students since it

Endogenous Risks and Learning in Climate Change Decision Analysis

International Nuclear Information System (INIS)

O'Neill, B.C.; Ermoliev, Y.; Ermolieva, T.

2005-01-01

We analyze the effects of risks and learning on climate change decisions. A two-stage, dynamic, climate change stabilization problem is formulated. The explicit incorporation of ex-post learning induces risk aversion among ex-ante decisions, which is characterized in linear models by VaR- (Value at Risk) and CVaR-type risk (Conditional Value at Risk) measures. Combined with explicit introduction of 'safety' constraints, it creates a 'hit-or-miss' type decision making situation and shows that, even in linear models, learning may lead to either less or more restrictive ex-ante emission reductions. We analyze stylized elements of the model in order to identify the key factors driving outcomes, in particular, the critical role of quantiles of probability distributions characterizing key uncertainties

The Effect of Animation in Multimedia Computer-Based Learning and Learning Style to the Learning Results

Directory of Open Access Journals (Sweden)

Muhammad RUSLI

2017-10-01

Full Text Available The effectiveness of a learning depends on four main elements, they are content, desired learning outcome, instructional method and the delivery media. The integration of those four elements can be manifested into a learning modul which is called multimedia learning or learning by using multimedia. In learning context by using computer-based multimedia, there are two main things that need to be noticed so that the learning process can run effectively: how the content is presented, and what the learner’s chosen way in accepting and processing the information into a meaningful knowledge. First it is related with the way to visualize the content and how people learn. The second one is related with the learning style of the learner. This research aims to investigate the effect of the type of visualization—static vs animated—on a multimedia computer-based learning, and learning styles—visual vs verbal, towards the students’ capability in applying the concepts, procedures, principles of Java programming. Visualization type act as independent variables, and learning styles of the students act as a moderator variable. Moreover, the instructional strategies followed the Component Display Theory of Merril, and the format of presentation of multimedia followed the Seven Principles of Multimedia Learning of Mayer and Moreno. Learning with the multimedia computer-based learning has been done in the classroom. The subject of this research was the student of STMIK-STIKOM Bali in odd semester 2016-2017 which followed the course of Java programming. The Design experiments used multivariate analysis of variance, MANOVA 2 x 2, with a large sample of 138 students in 4 classes. Based on the results of the analysis, it can be concluded that the animation in multimedia interactive learning gave a positive effect in improving students’ learning outcomes, particularly in the applying the concepts, procedures, and principles of Java programming. The

Structural Modeling for Influence of Mathematics Self-Concept, Motivation to Learn Mathematics and Self-Regulation Learning on Mathematics Academic Achievement

OpenAIRE

Hamideh Jafari Koshkouei; Ahmad Shahvarani; Mohammad Hassan Behzadi; Mohsen Rostamy-Malkhalifeh

2016-01-01

The present study was carried out to investigate the influence of mathematics self-concept (MSC), motivation to learn mathematics (SMOT) and self-regulation learning (SRL) on students' mathematics academic achievement. This study is of a descriptive survey type. 300 female students at the first grade of high school (the second period) in City Qods, were selected by multiple step cluster sampling method and completed MSC, SMOT and SRL questionnaires. Mathematics academic achievement was measur...

Consideration of a Learning Programming Process based on Software Design for Beginners

OpenAIRE

大村, 基将; 紅林, 秀治

2016-01-01

We considered a learning programming process based on software design for technology education. Lessons of computer program-aided measurement and control are for beginners to learn programming. These lessons are efficient to learn the step of programming, but the main of the lessons are works of typing the sample programming and debugging. Therefore, these lessons have a fundamental lack of the concept of design. Then we considered learning processes of programming and applied the process of ...

Identifying Student Types in a Gamified Learning Experience

Science.gov (United States)

Barata, Gabriel; Gama, Sandra; Jorge, Joaquim; Gonçalves, Daniel

2014-01-01

Gamification of education is a recent trend, and early experiments showed promising results. Students seem not only to perform better, but also to participate more and to feel more engaged with gamified learning. However, little is known regarding how different students are affected by gamification and how their learning experience may vary. In…

New instrument for measuring student beliefs about physics and learning physics: The Colorado Learning Attitudes about Science Survey

Science.gov (United States)

Adams, W. K.; Perkins, K. K.; Podolefsky, N. S.; Dubson, M.; Finkelstein, N. D.; Wieman, C. E.

2006-06-01

The Colorado Learning Attitudes about Science Survey (CLASS) is a new instrument designed to measure student beliefs about physics and about learning physics. This instrument extends previous work by probing additional aspects of student beliefs and by using wording suitable for students in a wide variety of physics courses. The CLASS has been validated using interviews, reliability studies, and extensive statistical analyses of responses from over 5000 students. In addition, a new methodology for determining useful and statistically robust categories of student beliefs has been developed. This paper serves as the foundation for an extensive study of how student beliefs impact and are impacted by their educational experiences. For example, this survey measures the following: that most teaching practices cause substantial drops in student scores; that a student’s likelihood of becoming a physics major correlates with their “Personal Interest” score; and that, for a majority of student populations, women’s scores in some categories, including “Personal Interest” and “Real World Connections,” are significantly different from men’s scores.

Measuring motivation and volition of nursing students in nontraditional learning environments.

Science.gov (United States)

Nagelsmith, Laurie; Bryer, Jason; Yan, Zheng

2012-01-01

The purpose of this study was to identify the best fitting model to represent interrelationships between motivation, volition, and academic success for adult nursing students learning in nontraditional environments. Participants (N=297) completed a survey that incorporated two measures: the Motivated Strategies for Learning Questionnaire (MSLQ) and the academic volitional strategies inventory (AVSI) as well as demographic information. Exploratory factor analysis (EFA), confirmatory factor analysis (CFA), and structural equation modeling (SEM) were used for data analysis. In phase 1, EFA resulted in factors that generally aligned with previous theoretical factors as defined by the psychometrics used. In Phase 2 of the analysis, CFA validated the use of predefined factor structures. In Phase 3, SEM analysis revealed that motivation has a larger effect on grade point average (GPA; beta = .28, p motivation and volition (r = .42, p motivation, volition, and academic success for adult learners studying in nontraditional learning environments. These findings are consistent with and elaborate the relationship between motivation and volition with a population and setting underrepresented in the research.

Role of σ1 Receptors in Learning and Memory and Alzheimer's Disease-Type Dementia.

Science.gov (United States)

Maurice, Tangui; Goguadze, Nino

2017-01-01

The present chapter will review the role of σ 1 receptor in learning and memory and neuroprotection , against Alzheimer's type dementia. σ 1 Receptor agonists have been tested in a variety of pharmacological and pathological models of learning impairments in rodents these last past 20 years. Their anti-amnesic effects have been explained by the wide-range modulatory role of σ 1 receptors on Ca 2+ mobilizations, neurotransmitter responses, and particularly glutamate and acetylcholine systems, and neurotrophic factors. Recent observations from genetic and pharmacological studies have shown that σ 1 receptor can also be targeted in neurodegenerative diseases, and particularly Alzheimer's disease . Several compounds, acting partly through the σ 1 receptor, have showed effective neuroprotection in transgenic mouse models of Alzheimer's disease . We will review the data and discuss the possible mechanisms of action, particularly focusing on oxidative stress and mitochondrial integrity, trophic factors and a novel hypothesis suggesting a functional interaction between the σ 1 receptor and α 7 nicotinic acetylcholine receptor. Finally, we will discuss the pharmacological peculiarities of non-selective σ 1 receptor ligands, now developed as neuroprotectants in Alzheimer's disease , and positive modulators, recently described and that showed efficacy against learning and memory deficits.

Measuring Knowledge Integration Learning of Energy Topics: A Two-Year Longitudinal Study

Science.gov (United States)

Liu, Ou Lydia; Ryoo, Kihyun; Linn, Marcia C.; Sato, Elissa; Svihla, Vanessa

2015-01-01

Although researchers call for inquiry learning in science, science assessments rarely capture the impact of inquiry instruction. This paper reports on the development and validation of assessments designed to measure middle-school students' progress in gaining integrated understanding of energy while studying an inquiry-oriented curriculum. The…

Measuring Learning Outcomes. A Learner Perspective in Auditing Education

DEFF Research Database (Denmark)

Holm, Claus; Steenholdt, Niels

The ability to provide sensible measures for learning outcomes in accounting education is under increased scrutiny. In this paper we use a learner perspective in auditing education which reflects that some students taking accounting classes also are provided with on-the-job training in accounting...... is part of every day life within most accounting firms. Developing a sound on-the-job training environment is pivotal in the recruitment and design of supervision, and in the end for the expected "successrate" in retaining (valuable) employees. Prior research suggests that scripts or schemas provide...

The Effect of the Type and Colour of Placebo Stimuli on Placebo Effects Induced by Observational Learning

Science.gov (United States)

Świder, Karolina; Bąbel, Przemysław

2016-01-01

Research shows that placebo analgesia and nocebo hyperalgesia can be induced through observational learning. Our aim was to replicate and extend these results by studying the influence of the type and colour of stimuli used as placebos on the placebo effects induced by observational learning. Three experimental and two control groups were tested. All participants received pain stimuli of the same intensity preceded by colour lights (green and red) or geometric shapes (circles and squares). Before receiving pain stimuli, participants in the experimental groups, but not in the control groups, observed a model who rated pain stimuli that were preceded by either green lights (green placebo group), red lights (red placebo group), or circles (circle placebo group) as being less painful than those preceded by either red lights (green placebo group), green lights (red placebo group), or squares (circle placebo group). As a result participants in the experimental groups rated pain stimuli preceded by either green lights (green placebo group), red lights (red placebo group), or circles (circle placebo group) as being less painful than the participants in the control groups did, indicating that placebo effect was induced. No statistically significant differences were found in the magnitudes of the placebo effects between the three experimental groups (green placebo, red placebo, and circle placebo groups), indicating that neither the type nor the colour of placebo stimuli affected the placebo effects induced by observational learning. The placebo effects induced by observational learning were found to be unrelated to the individual differences in pain anxiety, fear of pain, and empathy. PMID:27362552

Three types of photon detectors for in situ measurements

Science.gov (United States)

Helmer, R. G.; Gehrke, R. J.; Carpenter, M. V.

1999-02-01

The authors have been involved in the calibration and use of three types of γ- and X-ray detectors for in situ measurements of soil contamination. These three detectors are an N-type, thin-window Ge semiconductor detector (5.0 cm diam.× 2.0 cm deep), a plastic scintillator (30.5 cm × 30.5 cm × 3.8 cm thick), and an array of six CaF 2 detectors (each 7.6 cm × 7.6 cm × 0.15 cm thick). The latter two detectors have been used with scanning systems that allow significant areas (say, >100 m 2) to be surveyed completely with the aid of either laser-based triangulation or a global positioning system (GPS) to record the precise position for each measurement. Typically, these systems scan at a rate of 15-30 cm/s which allows an area of 100 m 2 to covered with the plastic scintillator in about 15 min. The data are telemetered or transferred via RS232 protocol to a computer, providing operators with real-time mapping of the area surveyed and of the measured detector count rate. The "efficiencies" of these detectors have been determined by a combination of measurements of calibrated planar sources and Monte Carlo transport calculations for a variety of source sizes and depths in soil, as well as by comparing these field measurements with independent laboratory sample analysis.

Does the Room Matter? Active Learning in Traditional and Enhanced Lecture Spaces

Science.gov (United States)

Stoltzfus, Jon R.; Libarkin, Julie

2016-01-01

SCALE-UP–type classrooms, originating with the Student-Centered Active Learning Environment with Upside-down Pedagogies project, are designed to facilitate active learning by maximizing opportunities for interactions between students and embedding technology in the classroom. Positive impacts when active learning replaces lecture are well documented, both in traditional lecture halls and SCALE-UP–type classrooms. However, few studies have carefully analyzed student outcomes when comparable active learning–based instruction takes place in a traditional lecture hall and a SCALE-UP–type classroom. Using a quasi-experimental design, we compared student perceptions and performance between sections of a nonmajors biology course, one taught in a traditional lecture hall and one taught in a SCALE-UP–type classroom. Instruction in both sections followed a flipped model that relied heavily on cooperative learning and was as identical as possible given the infrastructure differences between classrooms. Results showed that students in both sections thought that SCALE-UP infrastructure would enhance performance. However, measures of actual student performance showed no difference between the two sections. We conclude that, while SCALE-UP–type classrooms may facilitate implementation of active learning, it is the active learning and not the SCALE-UP infrastructure that enhances student performance. As a consequence, we suggest that institutions can modify existing classrooms to enhance student engagement without incorporating expensive technology. PMID:27909018

Learning network theory : its contribution to our understanding of work-based learning projects and learning climate

OpenAIRE

Poell, R.F.; Moorsel, M.A.A.H. van

1996-01-01

This paper discusses the relevance of Van der Krogt's learning network theory (1995) for our understanding of the concepts of work-related learning projects and learning climate in organisations. The main assumptions of the learning network theory are presented and transferred to the level of learning groups in organisations. Four theoretical types of learning projects are distinguished. Four different approaches to the learning climate of work groups are compared to the approach offered by t...

The Motivational Effects of Types of Computer Feedback on Children's Learning and Retention of Relational Concepts.

Science.gov (United States)

Armour-Thomas, Eleanor; And Others

The effects of different types of feedback in computer assisted instruction (CAI) on relational concept learning by young children were compared in this study. Subjects were 89 kindergarten students whose primary language was English, and whose performance on the Boehm Test of Basic Concepts was within the average range chosen from classes in a…

Fault Diagnosis for Rotating Machinery Using Vibration Measurement Deep Statistical Feature Learning

Directory of Open Access Journals (Sweden)

Chuan Li

2016-06-01

Full Text Available Fault diagnosis is important for the maintenance of rotating machinery. The detection of faults and fault patterns is a challenging part of machinery fault diagnosis. To tackle this problem, a model for deep statistical feature learning from vibration measurements of rotating machinery is presented in this paper. Vibration sensor signals collected from rotating mechanical systems are represented in the time, frequency, and time-frequency domains, each of which is then used to produce a statistical feature set. For learning statistical features, real-value Gaussian-Bernoulli restricted Boltzmann machines (GRBMs are stacked to develop a Gaussian-Bernoulli deep Boltzmann machine (GDBM. The suggested approach is applied as a deep statistical feature learning tool for both gearbox and bearing systems. The fault classification performances in experiments using this approach are 95.17% for the gearbox, and 91.75% for the bearing system. The proposed approach is compared to such standard methods as a support vector machine, GRBM and a combination model. In experiments, the best fault classification rate was detected using the proposed model. The results show that deep learning with statistical feature extraction has an essential improvement potential for diagnosing rotating machinery faults.

Fault Diagnosis for Rotating Machinery Using Vibration Measurement Deep Statistical Feature Learning.

Science.gov (United States)

Li, Chuan; Sánchez, René-Vinicio; Zurita, Grover; Cerrada, Mariela; Cabrera, Diego

2016-06-17

Fault diagnosis is important for the maintenance of rotating machinery. The detection of faults and fault patterns is a challenging part of machinery fault diagnosis. To tackle this problem, a model for deep statistical feature learning from vibration measurements of rotating machinery is presented in this paper. Vibration sensor signals collected from rotating mechanical systems are represented in the time, frequency, and time-frequency domains, each of which is then used to produce a statistical feature set. For learning statistical features, real-value Gaussian-Bernoulli restricted Boltzmann machines (GRBMs) are stacked to develop a Gaussian-Bernoulli deep Boltzmann machine (GDBM). The suggested approach is applied as a deep statistical feature learning tool for both gearbox and bearing systems. The fault classification performances in experiments using this approach are 95.17% for the gearbox, and 91.75% for the bearing system. The proposed approach is compared to such standard methods as a support vector machine, GRBM and a combination model. In experiments, the best fault classification rate was detected using the proposed model. The results show that deep learning with statistical feature extraction has an essential improvement potential for diagnosing rotating machinery faults.

Measurement of Learning Process by Semantic Annotation Technique on Bloom's Taxonomy Vocabulary

Science.gov (United States)

Yanchinda, Jirawit; Yodmongkol, Pitipong; Chakpitak, Nopasit

2016-01-01

A lack of science and technology knowledge understanding of most rural people who had the highest education at elementary education level more than others level is unsuccessfully transferred appropriate technology knowledge for rural sustainable development. This study provides the measurement of the learning process by on Bloom's Taxonomy…

Type I and type II residual stress in iron meteorites determined by neutron diffraction measurements

Science.gov (United States)

Caporali, Stefano; Pratesi, Giovanni; Kabra, Saurabh; Grazzi, Francesco

2018-04-01

In this work we present a preliminary investigation by means of neutron diffraction experiment to determine the residual stress state in three different iron meteorites (Chinga, Sikhote Alin and Nantan). Because of the very peculiar microstructural characteristic of this class of samples, all the systematic effects related to the measuring procedure - such as crystallite size and composition - were taken into account and a clear differentiation in the statistical distribution of residual stress in coarse and fine grained meteorites were highlighted. Moreover, the residual stress state was statistically analysed in three orthogonal directions finding evidence of the existence of both type I and type II residual stress components. Finally, the application of von Mises approach allowed to determine the distribution of type II stress.

Deep Learning in Open Source Learning Streams

DEFF Research Database (Denmark)

Kjærgaard, Thomas

2016-01-01

This chapter presents research on deep learning in a digital learning environment and raises the question if digital instructional designs can catalyze deeper learning than traditional classroom teaching. As a theoretical point of departure the notion of ‘situated learning’ is utilized...... and contrasted to the notion of functionalistic learning in a digital context. The mechanism that enables deep learning in this context is ‘The Open Source Learning Stream’. ‘The Open Source Learning Stream’ is the notion of sharing ‘learning instances’ in a digital space (discussion board, Facebook group......, unistructural, multistructural or relational learning. The research concludes that ‘The Open Source Learning Stream’ can catalyze deep learning and that there are four types of ‘Open Source Learning streams’; individual/ asynchronous, individual/synchronous, shared/asynchronous and shared...

Effects of WOE Presentation Types Used in Pre-Training on the Cognitive Load and Comprehension of Content in Animation-Based Learning Environments

Science.gov (United States)

Jung, Jung,; Kim, Dongsik; Na, Chungsoo

2016-01-01

This study investigated the effectiveness of various types of worked-out examples used in pre-training to optimize the cognitive load and enhance learners' comprehension of the content in an animation-based learning environment. An animation-based learning environment was developed specifically for this study. The participants were divided into…

Evaluation of Machine Learning Methods for LHC Optics Measurements and Corrections Software

CERN Document Server

AUTHOR|(CDS)2206853; Henning, Peter

The field of artificial intelligence is driven by the goal to provide machines with human-like intelligence. However modern science is currently facing problems with high complexity that cannot be solved by humans in the same timescale as by machines. Therefore there is a demand on automation of complex tasks. To identify the category of tasks which can be performed by machines in the domain of optics measurements and correction on the Large Hadron Collider (LHC) is one of the central research subjects of this thesis. The application of machine learning methods and concepts of artificial intelligence can be found in various industry and scientific branches. In High Energy Physics these concepts are mostly used in offline analysis of experiments data and to perform regression tasks. In Accelerator Physics the machine learning approach has not found a wide application yet. Therefore potential tasks for machine learning solutions can be specified in this domain. The appropriate methods and their suitability for...

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.

Measurement of water flow rate in unsaturated soil by thermistor type sensor

International Nuclear Information System (INIS)

Takebe, Shinichi; Yamamoto, Tadatoshi; Wadachi, Yoshiki

1981-09-01

As a part of radiological safety studies for ground disposal of radioactive wastes, a measuring apparatus of water flow rate with thermistor type sensor was made as preliminary one and the measurement of water flow rate in the soil was carried out, in order to evalute by comparison of the migration rate of water with that of radionuclide in an unsaturated soil. The water flow rate can be determined by measuring the change of the thermal conductivity (temperature) of soil around the several thermistor type sensors set in a soil. Particularly at the region of low water content in the soil, the water flow rate was able to measure successfully by this apparatus. (author)

Modeling Learning in Doubly Multilevel Binary Longitudinal Data Using Generalized Linear Mixed Models: An Application to Measuring and Explaining Word Learning.

Science.gov (United States)

Cho, Sun-Joo; Goodwin, Amanda P

2016-04-01

When word learning is supported by instruction in experimental studies for adolescents, word knowledge outcomes tend to be collected from complex data structure, such as multiple aspects of word knowledge, multilevel reader data, multilevel item data, longitudinal design, and multiple groups. This study illustrates how generalized linear mixed models can be used to measure and explain word learning for data having such complexity. Results from this application provide deeper understanding of word knowledge than could be attained from simpler models and show that word knowledge is multidimensional and depends on word characteristics and instructional contexts.

What types of learning are enhanced by a cued recall test?

Science.gov (United States)

Carpenter, Shana K; Pashler, Harold; Vul, Edward

2006-10-01

In two experiments, we investigated what types of learning benefit from a cued recall test. After initial exposure to a word pair (A+B), subjects experienced either an intervening cued recall test (A-->?) with feedback, or a restudy presentation (A-->B). The final test could be cued recall in the same (A-->?) or opposite (?-->B) direction, or free recall of just the cues (Recall As) or just the targets (Recall Bs). All final tests revealed a benefit for testing as opposed to restudying. Tests produced a direct benefit for information that was retrieved on the intervening test (B). This benefit also "spilled over" to facilitate recall of information that was present on the test but not retrieved (A). Both theoretical and practical implications are discussed.

Beyond Measurement-Driven Instruction: Achieving Deep Learning Based on Constructivist Learning Theory, Integrated Assessment, and a Flipped Classroom Approach

Science.gov (United States)

Bernauer, James A.; Fuller, Richard G.

2017-01-01

The authors focus on the critical role of assessment within a flipped classroom environment where instruction is based on constructivist learning theory and where desired student outcomes are at the higher levels of Bloom's Taxonomy. While assessment is typically thought of in terms of providing summative measures of performance or achievement, it…

Distance Education in a Cost Accounting Course: Instruction, Interaction, and Multiple Measures of Learning Outcomes

Science.gov (United States)

Chen, Clement C.; Jones, Keith T.; Moreland, Keith

2010-01-01

Students in online and traditional classroom sections of an intermediate-level cost accounting course responded to a survey about their experiences in the course. Specifically, several items related to the instruction and learning outcomes were addressed. Additionally, student examination performance in the two types of sections was compared. The…

Dynamic Boundaries of Action Based Learning: the Longitudinal Impact (Invited Paper

Directory of Open Access Journals (Sweden)

D. Song

2015-08-01

Full Text Available How do communities and group-based efforts create, learn and evolve? This paper argues that communities are dynamic, continuously creating connections through cyclical learning processes, regardless of how tight or loosely formulated group based efforts are (Hall et al. 2012. Learning cycles or epicycles processes are relevant for action-based investigation within organizational and social structures. The question of behaviors across boundaries or groups maybe influenced by their positioning within a larger adaptive system, including the type of focus, determined goals and the type of connections that have been developed over time (longitudinally. These types of community or group efforts can be described as autopoietic systems, which operate within larger adaptive societal webs (Nousala 2014. The learning methodologies involved in investigating these types of dynamic phenomena need themselves to be dynamic. These methods can be viewed through longitudinal cycles, (which are essentially feedback loops that include extensive reflective time lines, integration before repetition exposing these epicycles at work. The continuous recording of various processes through epicycles (which are the basis for learning cycles provide a means to "qualitatively measuring" change, which would normally go unseen (Hall et. al 2012; Hall et al. 2005; Nousala and Hall 2008; Wenger and Synder 2000; Garduno et al. 2015.

X-ray measurement with Pin type semiconductor detectors

International Nuclear Information System (INIS)

Ramirez J, F.J.

1999-01-01

Here are presented the experimental results of the applications of Pin type radiation detectors developed in a National Institute of Nuclear Research (ININ) project, in the measurement of low energy gamma and X-rays. The applications were oriented mainly toward the Medical Physics area. It is planned other applications which are in process of implementation inside the National Institute of Nuclear Research in Mexico. (Author)

Learning versus correct models: influence of model type on the learning of a free-weight squat lift.

Science.gov (United States)

McCullagh, P; Meyer, K N

1997-03-01

It has been assumed that demonstrating the correct movement is the best way to impart task-relevant information. However, empirical verification with simple laboratory skills has shown that using a learning model (showing an individual in the process of acquiring the skill to be learned) may accelerate skill acquisition and increase retention more than using a correct model. The purpose of the present study was to compare the effectiveness of viewing correct versus learning models on the acquisition of a sport skill (free-weight squat lift). Forty female participants were assigned to four learning conditions: physical practice receiving feedback, learning model with model feedback, correct model with model feedback, and learning model without model feedback. Results indicated that viewing either a correct or learning model was equally effective in learning correct form in the squat lift.

Measuring the clinical learning environment in anaesthesia.

Science.gov (United States)

Smith, N A; Castanelli, D J

2015-03-01

The learning environment describes the way that trainees perceive the culture of their workplace. We audited the learning environment for trainees throughout Australia and New Zealand in the early stages of curriculum reform. A questionnaire was developed and sent electronically to a large random sample of Australian and New Zealand College of Anaesthetists trainees, with a 26% final response rate. This new instrument demonstrated good psychometric properties, with Cronbach's α ranging from 0.81 to 0.91 for each domain. The median score was equivalent to 78%, with the majority of trainees giving scores in the medium range. Introductory respondents scored their learning environment more highly than all other levels of respondents (P=0.001 for almost all comparisons). We present a simple questionnaire instrument that can be used to determine characteristics of the anaesthesia learning environment. The instrument can be used to help assess curricular change over time, alignment of the formal and informal curricula and strengths and weaknesses of individual departments.

Instructional methods and cognitive and learning styles in web-based learning: report of two randomised trials.

Science.gov (United States)

Cook, David A; Gelula, Mark H; Dupras, Denise M; Schwartz, Alan

2007-09-01

Adapting web-based (WB) instruction to learners' individual differences may enhance learning. Objectives This study aimed to investigate aptitude-treatment interactions between learning and cognitive styles and WB instructional methods. We carried out a factorial, randomised, controlled, crossover, post-test-only trial involving 89 internal medicine residents, family practice residents and medical students at 2 US medical schools. Parallel versions of a WB course in complementary medicine used either active or reflective questions and different end-of-module review activities ('create and study a summary table' or 'study an instructor-created table'). Participants were matched or mismatched to question type based on active or reflective learning style. Participants used each review activity for 1 course module (crossover design). Outcome measurements included the Index of Learning Styles, the Cognitive Styles Analysis test, knowledge post-test, course rating and preference. Post-test scores were similar for matched (mean +/- standard error of the mean 77.4 +/- 1.7) and mismatched (76.9 +/- 1.7) learners (95% confidence interval [CI] for difference - 4.3 to 5.2l, P = 0.84), as were course ratings (P = 0.16). Post-test scores did not differ between active-type questions (77.1 +/- 2.1) and reflective-type questions (77.2 +/- 1.4; P = 0.97). Post-test scores correlated with course ratings (r = 0.45). There was no difference in post-test subscores for modules completed using the 'construct table' format (78.1 +/- 1.4) or the 'table provided' format (76.1 +/- 1.4; CI - 1.1 to 5.0, P = 0.21), and wholist and analytic styles had no interaction (P = 0.75) or main effect (P = 0.18). There was no association between activity preference and wholist or analytic scores (P = 0.37). Cognitive and learning styles had no apparent influence on learning outcomes. There were no differences in outcome between these instructional methods.

Measuring the influence of Cooperative Learning and Project Based Learning on problem solvin skill.

OpenAIRE

García Martín, Javier; Pérez Martínez, Jorge Enrique

2011-01-01

The aim of this study is to evaluate the effects obtained after applying two active learning methodologies (cooperative learning and project based learning) to the achievement of the competence problem solving. This study was carried out at the Technical University of Madrid, where these methodologies were applied to two Operating Systems courses. The first hypothesis tested was whether the implementation of active learning methodologies favours the achievement of ?problem solving?. The secon...

What do we learn from polarization measurements in deep-inelastic electron-nucleon scattering

International Nuclear Information System (INIS)

Anselmino, M.

1979-01-01

We examine what can be learned from deep-inelastic electron-nucleon scattering with polarized initial electrons and measurement of the polarization of the final electrons. A direct evaluation of the separate structure functions W 1 and W 2 is shown to be possible

Minimal erythema dose and minimal melanogenesis dose relate better to objectively measured skin type than to Fitzpatricks skin type

DEFF Research Database (Denmark)

Wulf, Hans Christian; Philipsen, Peter A; Ravnbak, Mette H

2010-01-01

Fitzpatrick skin type (FST I-IV) is a subjective expression of ultraviolet (UV) sensitivity based on erythema and tanning reactivity after a single exposure. Pigment protection factor (PPF) is an objective measurement of skin sensitivity in all skin types after a single exposure....

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

ANALYSIS OF STUDENTS’ LEARNING OBSTACLES ON LEARNING INVERS FUNCTION MATERIAL

Directory of Open Access Journals (Sweden)

Krisna Satrio Perbowo

2017-09-01

Full Text Available This research is based on the presence of obstacle in learning mathematics on inverse function. This research aims to analyze the learning obstacle, to know the types of error that is suffered by the students in learning inverse function. Kind of this kualitative research descriptive with data triangulation. The research subjects are high school students which is contained of 74 students and was taken 6 students to be main sample. The data of students’ error is obtained from the writen test result, the students’ false answers are identified into the type of error. Then it was chosen several students to be interviewed. Which the analysis result finding data in this research showed there are 4 types of errors, which are concept error, procedure error, counting error and concluding error. An obstacle which appear in learning inverse function is influenced by two factors, i.e internal factor and eksternal factor. Internal factor is showed by the students’ motivation in following learning and students’ skill in receiving learning material. While the eksternal factor is showed by the curriculum which applied in school with acceleration class caused many narrow learning time, teaching materials that is less complete with the discussion of question sample.

Measuring Self-Regulated Learning in the Workplace

Science.gov (United States)

Fontana, Rosa Pia; Milligan, Colin; Littlejohn, Allison; Margaryan, Anoush

2015-01-01

In knowledge-intensive industries, the workplace has become a key locus of learning. To perform effectively, knowledge workers must be able to take responsibility for their own developmental needs, and in particular, to regulate their own learning. This paper describes the construction and validation of an instrument (the Self-Regulated Learning…

ProDis-ContSHC: learning protein dissimilarity measures and hierarchical context coherently for protein-protein comparison in protein database retrieval.

Science.gov (United States)

Wang, Jingyan; Gao, Xin; Wang, Quanquan; Li, Yongping

2012-05-08

The need to retrieve or classify protein molecules using structure or sequence-based similarity measures underlies a wide range of biomedical applications. Traditional protein search methods rely on a pairwise dissimilarity/similarity measure for comparing a pair of proteins. This kind of pairwise measures suffer from the limitation of neglecting the distribution of other proteins and thus cannot satisfy the need for high accuracy of the retrieval systems. Recent work in the machine learning community has shown that exploiting the global structure of the database and learning the contextual dissimilarity/similarity measures can improve the retrieval performance significantly. However, most existing contextual dissimilarity/similarity learning algorithms work in an unsupervised manner, which does not utilize the information of the known class labels of proteins in the database. In this paper, we propose a novel protein-protein dissimilarity learning algorithm, ProDis-ContSHC. ProDis-ContSHC regularizes an existing dissimilarity measure dij by considering the contextual information of the proteins. The context of a protein is defined by its neighboring proteins. The basic idea is, for a pair of proteins (i, j), if their context N(i) and N(j) is similar to each other, the two proteins should also have a high similarity. We implement this idea by regularizing dij by a factor learned from the context N(i) and N(j).Moreover, we divide the context to hierarchial sub-context and get the contextual dissimilarity vector for each protein pair. Using the class label information of the proteins, we select the relevant (a pair of proteins that has the same class labels) and irrelevant (with different labels) protein pairs, and train an SVM model to distinguish between their contextual dissimilarity vectors. The SVM model is further used to learn a supervised regularizing factor. Finally, with the new Supervised learned Dissimilarity measure, we update the Protein Hierarchial

Measuring Team Learning Behaviours through Observing Verbal Team Interaction

Science.gov (United States)

Raes, Elisabeth; Boon, Anne; Kyndt, Eva; Dochy, Filip

2015-01-01

Purpose: This study aims to explore, as an answer to the observed lack of knowledge about actual team learning behaviours, the characteristics of the actual observed basic team learning behaviours and facilitating team learning behaviours more in-depth of three project teams. Over time, team learning in an organisational context has been…

Multilevel linear modelling of the response-contingent learning of young children with significant developmental delays.

Science.gov (United States)

Raab, Melinda; Dunst, Carl J; Hamby, Deborah W

2018-02-27

The purpose of the study was to isolate the sources of variations in the rates of response-contingent learning among young children with multiple disabilities and significant developmental delays randomly assigned to contrasting types of early childhood intervention. Multilevel, hierarchical linear growth curve modelling was used to analyze four different measures of child response-contingent learning where repeated child learning measures were nested within individual children (Level-1), children were nested within practitioners (Level-2), and practitioners were nested within the contrasting types of intervention (Level-3). Findings showed that sources of variations in rates of child response-contingent learning were associated almost entirely with type of intervention after the variance associated with differences in practitioners nested within groups were accounted for. Rates of child learning were greater among children whose existing behaviour were used as the building blocks for promoting child competence (asset-based practices) compared to children for whom the focus of intervention was promoting child acquisition of missing skills (needs-based practices). The methods of analysis illustrate a practical approach to clustered data analysis and the presentation of results in ways that highlight sources of variations in the rates of response-contingent learning among young children with multiple developmental disabilities and significant developmental delays. Copyright © 2018 The Author(s). Published by Elsevier Ltd.. All rights reserved.

Los enfoques de aprendizaje en estudiantes universitarios Catalanes mediante el approaches and study skills inventory for students (ASSIST) = Learning Approaches of Catalan University Students Measured with the Approaches and Study Skills Inventory for Students (ASSIST)

OpenAIRE

Tesouro i Cid, Montserrat; Cañabate Ortiz, Dolors; Puiggalí, Joan

2014-01-01

The aim of this study is to measure the psychometric properties of a Catalan translation of the Approaches and Study Skills Inventory for Students (ASSIST), and to analyse the different learning styles used by university students, considering the influence of gender and type of studies. The instrument was administered to 834 students at the University of Girona. The results showed that most students interviewed had a deep approach to learning, although the analysis by gender showed that femal...

Learning and Memory

OpenAIRE

1999-01-01

Under various circumstances and in different species the outward expression of learning varies considerably, and this has led to the classification of different categories of learning. Just as there is no generally agreed on definition of learning, there is no one system of classification. Types of learning commonly recognized are: Habituation, sensitization, classical conditioning, operant conditioning, trial and error, taste aversion, latent learning, cultural learning, imprinting, insight ...

Exploration of Learning Strategies Associated With Aha Learning Moments.

Science.gov (United States)

Pilcher, Jobeth W

2016-01-01

Educators recognize aha moments as powerful aspects of learning. Yet limited research has been performed regarding how to promote these learning moments. This article describes an exploratory study of aha learning moments as experienced and described by participants. Findings showed use of visuals, scenarios, storytelling, Socratic questions, and expert explanation led to aha learning moments. The findings provide guidance regarding the types of learning strategies that can be used to promote aha moments.

Incidental learning of probability information is differentially affected by the type of visual working memory representation.

Science.gov (United States)

van Lamsweerde, Amanda E; Beck, Melissa R

2015-12-01

In this study, we investigated whether the ability to learn probability information is affected by the type of representation held in visual working memory. Across 4 experiments, participants detected changes to displays of coloured shapes. While participants detected changes in 1 dimension (e.g., colour), a feature from a second, nonchanging dimension (e.g., shape) predicted which object was most likely to change. In Experiments 1 and 3, items could be grouped by similarity in the changing dimension across items (e.g., colours and shapes were repeated in the display), while in Experiments 2 and 4 items could not be grouped by similarity (all features were unique). Probability information from the predictive dimension was learned and used to increase performance, but only when all of the features within a display were unique (Experiments 2 and 4). When it was possible to group by feature similarity in the changing dimension (e.g., 2 blue objects appeared within an array), participants were unable to learn probability information and use it to improve performance (Experiments 1 and 3). The results suggest that probability information can be learned in a dimension that is not explicitly task-relevant, but only when the probability information is represented with the changing dimension in visual working memory. (c) 2015 APA, all rights reserved).

Development and validation of a method for measuring depth of understanding in constructivist learning

Science.gov (United States)

Guarino, Lucia Falsetti

A method for measuring depth of understanding of students in the middle-level science classroom was developed and validated. A common theme in the literature on constructivism in science education is that constructivist pedagogy, as opposed to objectivist pedagogy, results in a greater depth of understanding. Since few instruments measuring this construct exist at the present time, the development of such a tool to measure this construct was a significant contribution to the current body of assessment technologies in science education. The author's Depth of Understanding Assessment (DUA) evolved from a writing measure originally designed as a history assessment. The study involved 230 eighth grade science students studying a chemical change unit. The main research questions were: (1) What is the relationship between the DUA and each of the following independent variables: recall, application, and questioning modalities as measured by the Cognitive Preference Test; deep, surface, achieving, and deep-achieving approaches as measured by the Learning Process Questionnaire; achievement as measured by the Chemical Change Quiz, and teacher perception of student ability to conceptualize science content? (2) Is there a difference in depth of understanding, as measured by the DUA, between students who are taught by objectivist pedagogy and students who are taught by constructivist pedagogy favoring the constructivist group? (3) Is there a gender difference in depth of understanding as measured by the DUA? (4) Do students who are taught by constructivist pedagogy perceive their learning environment as more constructivist than students who are taught by objectivist pedagogy? Six out of nine hypothesis tests supported the validity of the DUA. The results of the qualitative component of this study which consisted of student interviews substantiated the quantitative results by providing additional information and insights. There was a significant difference in depth of

Teacher Subject Specialisms and Their Relationships to Learning Styles, Psychological Types and Multiple Intelligences: Implications for Course Development

Science.gov (United States)

Perry, Chris; Ball, Ian

2004-01-01

This study explores issues in teacher education that increase our understanding of, and response to, the individual differences displayed by learners. A large undergraduate teacher education cohort provided evidence of the range and distribution of preferences in learning styles, psychological types and multiple intelligences. This information…

Clinical workplace learning: perceived learning value of individual and group feedback in a collectivistic culture.

Science.gov (United States)

Suhoyo, Yoyo; Schönrock-Adema, Johanna; Emilia, Ova; Kuks, Jan B M; Cohen-Schotanus, Janke

2018-04-19

Feedback is essential for workplace learning. Most papers in this field concern individual feedback. In collectivistic cultures, however, group feedback is common educational practice. This study was conducted to investigate the perceived learning value and characteristics of individual and group feedback in a collectivistic culture. During two weeks, on a daily basis, clerkship students (n = 215) from 12 clinical departments at Faculty of Medicine, Universitas Gadjah Mada, Yogyakarta, Indonesia, recorded individual and group feedback moments by using a structured form: the providers, focus and perceived learning value of feedback. Data were analysed with logistic regression and multilevel techniques. Students reported 2687 group and 1535 individual feedback moments. Group feedback more often focused on history taking, clinical judgment, patient management, patient counselling, and professional behaviour (OR ranging from 1.232, p cultures, group feedback may add to the array of educational measures that optimize student learning. Congruence between culture and type of feedback may be important for the effectiveness of feedback.

Measuring striving for understanding and learning value of geometry: a validity study

Science.gov (United States)

Ubuz, Behiye; Aydınyer, Yurdagül

2017-11-01

The current study aimed to construct a questionnaire that measures students' personality traits related to striving for understanding and learning value of geometry and then examine its psychometric properties. Through the use of multiple methods on two independent samples of 402 and 521 middle school students, two studies were performed to address this issue to provide support for its validity. In Study 1, exploratory factor analysis indicated the two-factor model. In Study 2, confirmatory factor analysis indicated the better fit of two-factor model compared to one or three-factor model. Convergent and discriminant validity evidence provided insight into the distinctiveness of the two factors. Subgroup validity evidence revealed gender differences for striving for understanding geometry trait favouring girls and grade level differences for learning value of geometry trait favouring the sixth- and seventh-grade students. Predictive validity evidence demonstrated that the striving for understanding geometry trait but not learning value of geometry trait was significantly correlated with prior mathematics achievement. In both studies, each factor and the entire questionnaire showed satisfactory reliability. In conclusion, the questionnaire was psychometrically sound.

Measurable improvement in patient safety culture: A departmental experience with incident learning.

Science.gov (United States)

Kusano, Aaron S; Nyflot, Matthew J; Zeng, Jing; Sponseller, Patricia A; Ermoian, Ralph; Jordan, Loucille; Carlson, Joshua; Novak, Avrey; Kane, Gabrielle; Ford, Eric C

2015-01-01

Rigorous use of departmental incident learning is integral to improving patient safety and quality of care. The goal of this study was to quantify the impact of a high-volume, departmental incident learning system on patient safety culture. A prospective, voluntary, electronic incident learning system was implemented in February 2012 with the intent of tracking near-miss/no-harm incidents. All incident reports were reviewed weekly by a multiprofessional team with regular department-wide feedback. Patient safety culture was measured at baseline with validated patient safety culture survey questions. A repeat survey was conducted after 1 and 2 years of departmental incident learning. Proportional changes were compared by χ(2) or Fisher exact test, where appropriate. Between 2012 and 2014, a total of 1897 error/near-miss incidents were reported, representing an average of 1 near-miss report per patient treated. Reports were filed by a cross section of staff, with the majority of incidents reported by therapists, dosimetrists, and physicists. Survey response rates at baseline and 1 and 2 years were 78%, 80%, and 80%, respectively. Statistically significant and sustained improvements were noted in several safety metrics, including belief that the department was openly discussing ways to improve safety, the sense that reports were being used for safety improvement, and the sense that changes were being evaluated for effectiveness. None of the surveyed dimensions of patient safety culture worsened. Fewer punitive concerns were noted, with statistically significant decreases in the worry of embarrassment in front of colleagues and fear of getting colleagues in trouble. A comprehensive incident learning system can identify many areas for improvement and is associated with significant and sustained improvements in patient safety culture. These data provide valuable guidance as incident learning systems become more widely used in radiation oncology. Copyright © 2015

Measuring Effectiveness in Digital Game-Based Learning: A Methodological Review.

Directory of Open Access Journals (Sweden)

Anissa All

2014-06-01

Full Text Available In recent years, a growing number of studies are being conducted into the effectiveness of digital game-based learning (DGBL. Despite this growing interest, there is a lack of sound empirical evidence on the effectiveness of DGBL due to different outcome measures for assessing effectiveness, varying methods of data collection and inconclusive or difficult to interpret results. This has resulted in a need for an overarching methodology for assessing the effectiveness of DGBL. The present study took a first step in this direction by mapping current methods used for assessing the effectiveness of DGBL. Results showed that currently, comparison of results across studies and thus looking at effectiveness of DGBL on a more general level is problematic due to diversity in and suboptimal study designs. Variety in study design relates to three issues, namely different activities that are implemented in the control groups, different measures for assessing the effectiveness of DGBL and the use of different statistical techniques for analyzing learning outcomes. Suboptimal study designs are the result of variables confounding study results. Possible confounds that were brought forward in this review are elements that are added to the game as part of the educational intervention (e.g., required reading, debriefing session, instructor influences and practice effects when using the same test pre- and post-intervention. Lastly, incomplete information on the study design impedes replication of studies and thus falsification of study results.

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.

ProDis-ContSHC: Learning protein dissimilarity measures and hierarchical context coherently for protein-protein comparison in protein database retrieval

KAUST Repository

Wang, Jim Jing-Yan

2012-05-08

Background: The need to retrieve or classify protein molecules using structure or sequence-based similarity measures underlies a wide range of biomedical applications. Traditional protein search methods rely on a pairwise dissimilarity/similarity measure for comparing a pair of proteins. This kind of pairwise measures suffer from the limitation of neglecting the distribution of other proteins and thus cannot satisfy the need for high accuracy of the retrieval systems. Recent work in the machine learning community has shown that exploiting the global structure of the database and learning the contextual dissimilarity/similarity measures can improve the retrieval performance significantly. However, most existing contextual dissimilarity/similarity learning algorithms work in an unsupervised manner, which does not utilize the information of the known class labels of proteins in the database.Results: In this paper, we propose a novel protein-protein dissimilarity learning algorithm, ProDis-ContSHC. ProDis-ContSHC regularizes an existing dissimilarity measure dij by considering the contextual information of the proteins. The context of a protein is defined by its neighboring proteins. The basic idea is, for a pair of proteins (i, j), if their context N (i) and N (j) is similar to each other, the two proteins should also have a high similarity. We implement this idea by regularizing dij by a factor learned from the context N (i) and N (j). Moreover, we divide the context to hierarchial sub-context and get the contextual dissimilarity vector for each protein pair. Using the class label information of the proteins, we select the relevant (a pair of proteins that has the same class labels) and irrelevant (with different labels) protein pairs, and train an SVM model to distinguish between their contextual dissimilarity vectors. The SVM model is further used to learn a supervised regularizing factor. Finally, with the new Supervised learned Dissimilarity measure, we update

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…

A case study for measuring Informal Learning in PLEs

Directory of Open Access Journals (Sweden)

Francisco J. García-Peñalvo

2014-04-01

Full Text Available The technological support for learning and teaching processes is constantly changing. Information and Communication Technologies (ICT applied to education, cause changes that affect the way in which people learn. This application introduces new software systems and solutions to carry out teaching and learning activities. Connected to ICT application, the emergence of Web 2.0 and its use in learning contexts enables an online implementation of the student-centred learning paradigm. In addition, 2.0 trends provide “new” ways to exchange, making easier for informal learning to become patent. Given this context, open and user-centered learning environments are needed to integrate such kinds of tools and trends and are commonly described as Personal Learning Environments. Such environments coexist with the institutional learning management systems and they should interact and exchange information between them. This interaction would allow the assessment of what happens in the personal environment from the institutional side. This article describes a solution to make the interoperability possible between these systems. It is based on a set of interoperability scenarios and some components and communication channels. In order to test the solution it is implemented as a proof of concept and the scenarios are validated through several pilot experiences. In this article one of such scenarios and its evaluation experiment is described to conclude that functionalities from the institutional environments and the personal ones can be combined and it is possible to assess what happens in the activities based on them.

How are learning physics and student beliefs about learning physics connected? Measuring epistemological self-reflection in an introductory course and investigating its relationship to conceptual learning

Science.gov (United States)

May, David B.

2002-11-01

To explore students' epistemological beliefs in a variety of conceptual domains in physics, and in a specific and novel context of measurement, this Dissertation makes use of Weekly Reports, a class assignment in which students reflect in writing on what they learn each week and how they learn it. Reports were assigned to students in the introductory physics course for honors engineering majors at The Ohio State University in two successive years. The Weekly Reports of several students from the first year were analyzed for the kinds of epistemological beliefs exhibited therein, called epistemological self-reflection, and a coding scheme was developed for categorizing and quantifying this reflection. The connection between epistemological self-reflection and conceptual learning in physics seen in a pilot study was replicated in a larger study, in which the coded reflections from the Weekly Reports of thirty students were correlated with their conceptual learning gains. Although the total amount of epistemological self-reflection was not found to be related to conceptual gain, different kinds of epistemological self-reflection were. Describing learning physics concepts in terms of logical reasoning and making personal connections were positively correlated with gains; describing learning from authority figures or by observing phenomena without making inferences were negatively correlated. Linear regression equations were determined in order to quantify the effects on conceptual gain of specific ways of describing learning. In an experimental test of this model, the regression equations and the Weekly Report coding scheme developed from the first year's data were used to predict the conceptual gains of thirty students from the second year. The prediction was unsuccessful, possibly because these students were not given as much feedback on their reflections as were the first-year students. These results show that epistemological beliefs are important factors affecting

Evaluation and Policy Learning

DEFF Research Database (Denmark)

Borrás, Susana; Højlund, Steven

2015-01-01

This article examines how evaluation induces policy learning – a question largely neglected by the scholarly literature on evaluation and policy learning. Following a learner's perspective, the article attempts to ascertain who the learners are, and what, and how, learners actually learn from...... evaluations. In so doing, it focuses on what different types of learners actually learn within the context of the evaluation framework (the set of administrative structures defining the evaluation goals and process). Taking the empirical case of three EU programme evaluations, the patterns of policy learning...... emanating from them are examined. The findings are that only two types of actors involved in the evaluation are actually learning (programme units and external evaluators), that learners learn different things (programme overview, small-scale programme adjustments, policy change and evaluation methods...

Capturing the complexity: Content, type, and amount of instruction and quality of the classroom learning environment synergistically predict third graders' vocabulary and reading comprehension outcomes.

Science.gov (United States)

Connor, Carol McDonald; Spencer, Mercedes; Day, Stephanie L; Giuliani, Sarah; Ingebrand, Sarah W; McLean, Leigh; Morrison, Frederick J

2014-08-01

We examined classrooms as complex systems that affect students' literacy learning through interacting effects of content and amount of time individual students spent in literacy instruction along with the global quality of the classroom-learning environment. We observed 27 third grade classrooms serving 315 target students using two different observation systems. The first assessed instruction at a more micro-level; specifically, the amount of time individual students spent in literacy instruction defined by the type of instruction, role of the teacher, and content. The second assessed the quality of the classroom-learning environment at a more macro level focusing on classroom organization, teacher responsiveness, and support for vocabulary and language. Results revealed that both global quality of the classroom learning environment and time individual students spent in specific types of literacy instruction covering specific content interacted to predict students' comprehension and vocabulary gains whereas neither system alone did. These findings support a dynamic systems model of how individual children learn in the context of classroom literacy instruction and the classroom-learning environment, which can help to improve observations systems, advance research, elevate teacher evaluation and professional development, and enhance student achievement.

Capturing the complexity: Content, type, and amount of instruction and quality of the classroom learning environment synergistically predict third graders’ vocabulary and reading comprehension outcomes

Science.gov (United States)

Connor, Carol McDonald; Spencer, Mercedes; Day, Stephanie L.; Giuliani, Sarah; Ingebrand, Sarah W.; McLean, Leigh; Morrison, Frederick J.

2014-01-01

We examined classrooms as complex systems that affect students’ literacy learning through interacting effects of content and amount of time individual students spent in literacy instruction along with the global quality of the classroom-learning environment. We observed 27 third grade classrooms serving 315 target students using two different observation systems. The first assessed instruction at a more micro-level; specifically, the amount of time individual students spent in literacy instruction defined by the type of instruction, role of the teacher, and content. The second assessed the quality of the classroom-learning environment at a more macro level focusing on classroom organization, teacher responsiveness, and support for vocabulary and language. Results revealed that both global quality of the classroom learning environment and time individual students spent in specific types of literacy instruction covering specific content interacted to predict students’ comprehension and vocabulary gains whereas neither system alone did. These findings support a dynamic systems model of how individual children learn in the context of classroom literacy instruction and the classroom-learning environment, which can help to improve observations systems, advance research, elevate teacher evaluation and professional development, and enhance student achievement. PMID:25400293

Handwriting generates variable visual input to facilitate symbol learning

Science.gov (United States)

Li, Julia X.; James, Karin H.

2015-01-01

Recent research has demonstrated that handwriting practice facilitates letter categorization in young children. The present experiments investigated why handwriting practice facilitates visual categorization by comparing two hypotheses: That handwriting exerts its facilitative effect because of the visual-motor production of forms, resulting in a direct link between motor and perceptual systems, or because handwriting produces variable visual instances of a named category in the environment that then changes neural systems. We addressed these issues by measuring performance of 5 year-old children on a categorization task involving novel, Greek symbols across 6 different types of learning conditions: three involving visual-motor practice (copying typed symbols independently, tracing typed symbols, tracing handwritten symbols) and three involving visual-auditory practice (seeing and saying typed symbols of a single typed font, of variable typed fonts, and of handwritten examples). We could therefore compare visual-motor production with visual perception both of variable and similar forms. Comparisons across the six conditions (N=72) demonstrated that all conditions that involved studying highly variable instances of a symbol facilitated symbol categorization relative to conditions where similar instances of a symbol were learned, regardless of visual-motor production. Therefore, learning perceptually variable instances of a category enhanced performance, suggesting that handwriting facilitates symbol understanding by virtue of its environmental output: supporting the notion of developmental change though brain-body-environment interactions. PMID:26726913

Distributed Open and Distance Learning: How Does E-Learning Fit? LSDA Reports.

Science.gov (United States)

Fletcher, Mick

The distinctions between types of open and distance learning broadly equate to the concept of learning at a time, place, and pace that best suits the learner. Distance learning refers to geography, whereas open learning refers to time. Flexible learning is a generic term referring either to geography or time. Combining these distinctions allows…

The VLT Measures the Shape of a Type Ia Supernova

Science.gov (United States)

2003-08-01

First Polarimetric Detection of Explosion Asymmetry has Cosmological Implications Summary An international team of astronomers [2] has performed new and very detailed observations of a supernova in a distant galaxy with the ESO Very Large Telescope (VLT) at the Paranal Observatory (Chile). They show for the first time that a particular type of supernova, caused by the explosion of a "white dwarf", a dense star with a mass around that of the Sun, is asymmetric during the initial phases of expansion . The significance of this observation is much larger than may seem at a first glance . This particular kind of supernova, designated "Type Ia", plays a very important role in the current attempts to map the Universe. It has for long been assumed that Type Ia supernovae all have the same intrinsic brightness , earning them a nickname as "standard candles". If so, differences in the observed brightness between individual supernovae of this type simply reflect their different distances. This, and the fact that the peak brightness of these supernovae rivals that of their parent galaxy, has allowed to measure distances of even very remote galaxies . Some apparent discrepancies that were recently found have led to the discovery of cosmic acceleration . However, this first clearcut observation of explosion asymmetry in a Type Ia supernova means that the exact brightness of such an object will depend on the angle from which it is seen. Since this angle is unknown for any particular supernova, this obviously introduces an amount of uncertainty into this kind of basic distance measurements in the Universe which must be taken into account in the future. Fortunately, the VLT data also show that if you wait a little - which in observational terms makes it possible to look deeper into the expanding fireball - then it becomes more spherical. Distance determinations of supernovae that are performed at this later stage will therefore be more accurate. PR Photo 24a/03 : Spiral galaxy NGC

Interorganizational learning systems

DEFF Research Database (Denmark)

Hjalager, Anne-Mette

1999-01-01

The occurrence of organizational and interorganizational learning processes is not only the result of management endeavors. Industry structures and market related issues have substantial spill-over effects. The article reviews literature, and it establishes a learning model in which elements from...... organizational environments are included into a systematic conceptual framework. The model allows four types of learning to be identified: P-learning (professional/craft systems learning), T-learning (technology embedded learning), D-learning (dualistic learning systems, where part of the labor force is exclude...... from learning), and S-learning (learning in social networks or clans). The situation related to service industries illustrates the typology....

Outer measures and weak type estimates of Hardy-Littlewood maximal operators

Directory of Open Access Journals (Sweden)

Terasawa Yutaka

2006-01-01

Full Text Available We will introduce the times modified centered and uncentered Hardy-Littlewood maximal operators on nonhomogeneous spaces for . We will prove that the times modified centered Hardy-Littlewood maximal operator is weak type bounded with constant when if the Radon measure of the space has "continuity" in some sense. In the proof, we will use the outer measure associated with the Radon measure. We will also prove other results of Hardy-Littlewood maximal operators on homogeneous spaces and on the real line by using outer measures.

Learning styles and types of multiple intelligences in dental students in their first and tenth semester. Monterrey, Mexico, 2015.

Directory of Open Access Journals (Sweden)

Juan Solís-Soto

2016-04-01

Full Text Available Introduction: Nowadays the incorporation and validation of learning styles and multiple intelligences enable teachers to obtain positive results in academic performance. This new approach has allowed to appreciate personal differences in dental students and strengthen their underdeveloped aspects, improving teaching and learning skills. Objective: To compare learning styles and multiple intelligences in a sample of Mexican dental students in their first and tenth semester. Materials and Methods: A cross-sectional study using questionnaires on learning styles (Honey-Alonso and Gardner’s multiple intelligences was performed. The study was applied to 123 students in their first semester and 157 in their tenth semester at the School of Dentistry at Universidad Autónoma de Nuevo León, evaluating differences between age and sex. Results: Logical-Mathematical intelligence (p=0.044 and Kinesthetic-Corporal intelligence (p=0.042 showed significant differences between students of both semesters, with intrapersonal and interpersonal intelligences being more prevalent. Within learning styles, the prevalent were Reflexive and Theoretical, showing a significant difference between semesters (p=0.005. Conclusion: The most prevalent learning styles in both groups were Reflexive and Theoretical, with no difference between both sexes. The most prevalent types of multiple intelligences in both sexes and groups were interpersonal and intrapersonal.

Situated Learning: Conceptualization and Measurement

Science.gov (United States)

Goel, Lakshmi; Johnson, Norman; Junglas, Iris; Ives, Blake

2010-01-01

A focus on the interaction between cognitive schemas and context in situ has been suggested as fundamental in organizational decision making and information interpretation. Past research suggests that the situation and the social interaction that occur during learning at the cognitive level consist of factors that affect the process, but the…

Survey of Type I ELM dynamics measurements

International Nuclear Information System (INIS)

Leonard, A W; Asakura, N; Boedo, J A; Becoulet, M; Counsell, G F; Eich, T; Fundamenski, W; Herrmann, A; Horton, L D; Kamada, Y; Kirk, A; Kurzan, B; Loarte, A; Neuhauser, J; Nunes, I; Oyama, N; Pitts, R A; Saibene, G; Silva, C; Snyder, P B; Urano, H; Wade, M R; Wilson, H R

2006-01-01

This report summarizes Type I edge localized mode (ELM) dynamics measurements from a number of tokamaks, including ASDEX-Upgrade, DIII-D, JET, JT-60U and MAST, with the goal of providing guidance and insight for the development of ELM simulation and modelling. Several transport mechanisms are conjectured to be responsible for ELM transport, including convective transport due to filamentary structures ejected from the pedestal, parallel transport due to edge ergodization or magnetic reconnection and turbulent transport driven by the high edge gradients when the radial electric field shear is suppressed. The experimental observations are assessed for their validation, or conflict, with these ELM transport conjectures

Investigating Flipped Learning: Student Self-Regulated Learning, Perceptions, and Achievement in an Introductory Biology Course

Science.gov (United States)

Sletten, Sarah Rae

2017-06-01

In flipped classrooms, lectures, which are normally delivered in-class, are assigned as homework in the form of videos, and assignments that were traditionally assigned as homework, are done as learning activities in class. It was hypothesized that the effectiveness of the flipped model hinges on a student's desire and ability to adopt a self-directed learning style. The purpose of this study was twofold; it aimed at examining the relationship between two variables—students' perceptions of the flipped model and their self-regulated learning (SRL) behaviors—and the impact that these variables have on achievement in a flipped class. For the study, 76 participants from a flipped introductory biology course were asked about their SRL strategy use and perceptions of the flipped model. SRL strategy use was measured using a modified version of the Motivated Strategies for Learning Questionnaire (MSLQ; Wolters et al. 2005), while the flipped perceptions survey was newly derived. Student letter grades were collected as a measure of achievement. Through regression analysis, it was found that students' perceptions of the flipped model positively predict students' use of several types of SRL strategies. However, the data did not indicate a relationship between student perceptions and achievement, neither directly nor indirectly, through SRL strategy use. Results suggest that flipped classrooms demonstrate their successes in the active learning sessions through constructivist teaching methods. Video lectures hold an important role in flipped classes, however, students may need to practice SRL skills to become more self-directed and effectively learn from them.

How International Studies Contributed to Educational Theory and Methods through Measurement of Opportunity to Learn Mathematics

Science.gov (United States)

Suter, Larry E.

2017-01-01

The international comparative studies in 1959 were conducted by International Association for the Evaluation of Educational Achievement (IEA) researchers who recognized that differences in student achievement measures in mathematics across countries could be caused by differences in curricula. The measurements of opportunity to learn (OTL) grew…

Learning during Processing: Word Learning Doesn't Wait for Word Recognition to Finish

Science.gov (United States)

Apfelbaum, Keith S.; McMurray, Bob

2017-01-01

Previous research on associative learning has uncovered detailed aspects of the process, including what types of things are learned, how they are learned, and where in the brain such learning occurs. However, perceptual processes, such as stimulus recognition and identification, take time to unfold. Previous studies of learning have not addressed…

Regulation of Emotions in Socially Challenging Learning Situations: An Instrument to Measure the Adaptive and Social Nature of the Regulation Process

Science.gov (United States)

Jarvenoja, Hanna; Volet, Simone; Jarvela, Sanna

2013-01-01

Self-regulated learning (SRL) research has conventionally relied on measures, which treat SRL as an aptitude. To study self-regulation and motivation in learning contexts as an ongoing adaptive process, situation-specific methods are needed in addition to static measures. This article presents an "Adaptive Instrument for Regulation of Emotions"…

Measuring Access to Learning Opportunities.

Science.gov (United States)

Hawley, Willis D., Ed.; Ready, Timothy, Ed.

This study examined the continued relevance and adequacy of the Elementary and Secondary School Civil Rights Compliance Report (E&S Survey) as a tool for enforcing civil rights laws in education, monitoring quality of access to learning opportunities, and research on other current issues of educational policy and practice. The Committee on…

Evaluation of the effect of self-care education based on Vark learning style on HbA1c and FBS in patients with type II diabetes

Directory of Open Access Journals (Sweden)

Saleh Moghadam Amir Reza

2016-08-01

Full Text Available Background and Objective: Patients with type two diabetes mostly struggle with increased fasting blood sugar (FBS and glycosylated hemoglobin HbA1c, mainly associated with irrecoverable complications. Self-care education and considering different types of learning among patients are regarded as some of the most important issues in this regard. Therefore, this study aimed to evaluate the effect of self-care education based on VARK learning style on HbA1c and FBS in patients with type two diabetes. Materials and Method: This clinical trial was conducted on patients with type two diabetes, referring to Parsian Clinic in Mashhad, Iran in 2015. In total, 72 samples were selected through randomized convenience sampling and divided into two control and intervention groups of 36 cases. Subjects of the intervention group were also divided into subgroups of visual, aural, read/write, and kinesthetic based on the results of VARK inventory. Self-care education was carried for the intervention group in two 60-minute session once every two weeks, tailored to learning styles of patients. Meanwhile, traditional lecture method was used for the control group. HbA1c and FBS were evaluated in all the participants before and a month and a half after the intervention to assess the self-care of patients. Data analysis was performed in SPSS version 21 using Mann-Whitney U, Chi-square, independent t-test and Wilcoxon. Results: In this study, mean score of HbA1c was decreased from 7.7±0.8 to 7.0±5.7 (P<0.062, whereas mean score of FBS was alleviated from 176.1±33.5 to 147.7±32.8 (P<0.001, which was only significant regarding FBS levels (P=0.002. Conclusion: According to the results of this study, application of VARK learning style led to a reduction in HbA1c and FBS levels, contributing to improved self-care in patients with type 2 diabetes. Therefore, before initiation of training programs, determining learning style of patients is suggested using VARK learning

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.

The use of errorless learning strategies for patients with Alzheimer's disease: a literature review.

Science.gov (United States)

Li, Ruijie; Liu, Karen P Y

2012-12-01

The aim of this article was to review the evidence of errorless learning on learning outcomes in patients with early-stage Alzheimer's disease. A computer-aided literature search from 1999 to 2011 was carried out using MEDLINE, Cumulative Index to Nursing and Allied Health Literature (CINAHL), PsycINFO and PsycArticles. Keywords included 'errorless learning or practice' and 'Alzheimer's disease'. Four studies that fulfilled the inclusion criteria were selected and reviewed. Two of the studies were clinical controlled trials: one was a single-group pretest-post-test trial and the other was a multiple single-participant study. Demographic variables, design, treatment and outcome measures were summarized. Recall trials were used as the primary outcome measure. Results indicate that the use of errorless learning promotes better retention of specific types of information. Errorless learning is effective in memory rehabilitation of older adults with Alzheimer's disease. However, it would require more studies with unified outcome measures to allow for the formulation of standardized clinical protocol and recommendations.

Behavioral analysis of differential Hebbian learning in closed-loop systems

DEFF Research Database (Denmark)

Kulvicius, Tomas; Kolodziejski, Christoph; Tamosiunaite, Minija

2010-01-01

Understanding closed loop behavioral systems is a non-trivial problem, especially when they change during learning. Descriptions of closed loop systems in terms of information theory date back to the 1950s, however, there have been only a few attempts which take into account learning, mostly...... measuring information of inputs. In this study we analyze a specific type of closed loop system by looking at the input as well as the output space. For this, we investigate simulated agents that perform differential Hebbian learning (STDP). In the first part we show that analytical solutions can be found...

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Measurement of the Velocity and Pressure Drop in a Tubular Type Fuel

International Nuclear Information System (INIS)

Jonghark Park; Heetaek Chae; Cheol Park; Heonil Kim

2006-01-01

We have developed a tubular type fuel assembly design as one of candidates for fuel to be used in the Advanced HANARO Reactor (AHR). The tubular type fuel has several merits over a rod type fuel with respect to the thermal-hydraulic and structural safety; the larger ratio of surface area to volume makes the surface temperature of a fuel element become lower, and curved plate is stronger against longitudinal bending and vibration. In the other side, a disadvantage is expected such that the flow velocity can be distributed unevenly channel by channel because the flow channels are isolated from each other in a tubular type fuel assembly. In addition to the design development, we also investigated the flow characteristics of the tubular fuel experimentally. To examine the flow velocity distribution and pressure drop, we made an experiment facility and a mockup of the tubular fuel assembly. The fuel assembly consists of 6 concentric fuel tubes so that 7 layers are made between fuel tubes. Since each layer is divided into three sections by stiffeners, 21 isolated flow channels are made in total. We employed pitot-tubes to measure the coolant velocity in each channel. The maximum velocity was measured as large as about 28% of the average velocity. It was observed in the innermost channel contrarily to the expectation from the hydraulic diameter. A change in the total flow rate did not affect the flow distribution. Meanwhile, the pressure drop was measured as about 70% of the drop in the rod type fuel assembly in use in HANARO. (authors)

Assessing Student Behaviors and Motivation for Actively Learning Biology

Science.gov (United States)

Moore, Michael Edward

Vision and Change states that one of the major changes in the way we design biology courses should be a switch in approach from teacher-centered learning to student-centered learning and identifies active learning as a recommended methods. Studies show performance benefits for students taking courses that use active learning. What is unknown is why active learning is such an effective instructional tool and the limits of this instructional method’s ability to influence performance. This dissertation builds a case in three steps for why active learning is an effective instructional tool. In step one, I assessed the influence of different types of active learning (clickers, group activities, and whole class discussions) on student engagement behavior in one semester of two different introductory biology courses and found that active learning positively influenced student engagement behavior significantly more than lecture. For step two, I examined over four semesters whether student engagement behavior was a predictor of performance and found participation (engagement behavior) in the online (video watching) and in-class course activities (clicker participation) that I measure were significant predictors of performance. In the third, I assessed whether certain active learning satisfied the psychological needs that lead to students’ intrinsic motivation to participate in those activities when compared over two semesters and across two different institutions of higher learning. Findings from this last step show us that student’s perceptions of autonomy, competency, and relatedness in doing various types of active learning are significantly higher than lecture and consistent across two institutions of higher learning. Lastly, I tie everything together, discuss implications of the research, and address future directions for research on biology student motivation and behavior.

The Applicability of Standard Error of Measurement and Minimal Detectable Change to Motor Learning Research-A Behavioral Study.

Science.gov (United States)

Furlan, Leonardo; Sterr, Annette

2018-01-01

Motor learning studies face the challenge of differentiating between real changes in performance and random measurement error. While the traditional p -value-based analyses of difference (e.g., t -tests, ANOVAs) provide information on the statistical significance of a reported change in performance scores, they do not inform as to the likely cause or origin of that change, that is, the contribution of both real modifications in performance and random measurement error to the reported change. One way of differentiating between real change and random measurement error is through the utilization of the statistics of standard error of measurement (SEM) and minimal detectable change (MDC). SEM is estimated from the standard deviation of a sample of scores at baseline and a test-retest reliability index of the measurement instrument or test employed. MDC, in turn, is estimated from SEM and a degree of confidence, usually 95%. The MDC value might be regarded as the minimum amount of change that needs to be observed for it to be considered a real change, or a change to which the contribution of real modifications in performance is likely to be greater than that of random measurement error. A computer-based motor task was designed to illustrate the applicability of SEM and MDC to motor learning research. Two studies were conducted with healthy participants. Study 1 assessed the test-retest reliability of the task and Study 2 consisted in a typical motor learning study, where participants practiced the task for five consecutive days. In Study 2, the data were analyzed with a traditional p -value-based analysis of difference (ANOVA) and also with SEM and MDC. The findings showed good test-retest reliability for the task and that the p -value-based analysis alone identified statistically significant improvements in performance over time even when the observed changes could in fact have been smaller than the MDC and thereby caused mostly by random measurement error, as opposed

Multimodal Learning Analytics and Education Data Mining: Using Computational Technologies to Measure Complex Learning Tasks

Science.gov (United States)

Blikstein, Paulo; Worsley, Marcelo

2016-01-01

New high-frequency multimodal data collection technologies and machine learning analysis techniques could offer new insights into learning, especially when students have the opportunity to generate unique, personalized artifacts, such as computer programs, robots, and solutions engineering challenges. To date most of the work on learning analytics…

Analysis of traditional versus three-dimensional augmented curriculum on anatomical learning outcome measures.

Science.gov (United States)

Peterson, Diana Coomes; Mlynarczyk, Gregory S A

2016-11-01

This study examined whether student learning outcome measures are influenced by the addition of three-dimensional and digital teaching tools to a traditional dissection and lecture learning format curricula. The study was performed in a semester long graduate level course that incorporated both gross anatomy and neuroanatomy curricula. Methods compared student examination performance on material taught using lecture and cadaveric dissection teaching tools alone or lecture and cadaveric dissection augmented with computerized three-dimensional teaching tools. Additional analyses were performed to examine potential correlations between question difficulty and format, previous student performance (i.e., undergraduate grade point average), and a student perception survey. The results indicated that students performed better on material in which three-dimensional (3D) technologies are utilized in conjunction with lecture and dissection methodologies. The improvement in performance was observed across the student population primarily on laboratory examinations. Although, student performance was increased, students did not perceive that the use of the additional 3D technology significantly influenced their learning. The results indicate that the addition of 3D learning tools can influence long-term retention of gross anatomy material and should be considered as a beneficial supplement for anatomy courses. Anat Sci Educ 9: 529-536. © 2016 American Association of Anatomists. © 2016 American Association of Anatomists.

Evaluating and Improving a Learning Trajectory for Linear Measurement in Elementary Grades 2 and 3: A Longitudinal Study

Science.gov (United States)

Barrett, Jeffrey E.; Sarama, Julie; Clements, Douglas H.; Cullen, Craig; McCool, Jenni; Witkowski-Rumsey, Chepina; Klanderman, David

2012-01-01

We examined children's development of strategic and conceptual knowledge for linear measurement. We conducted teaching experiments with eight students in grades 2 and 3, based on our hypothetical learning trajectory for length to check its coherence and to strengthen the domain-specific model for learning and teaching. We checked the hierarchical…

Comparing Feedback Types in Multimedia Learning of Speech by Young Children With Common Speech Sound Disorders: Research Protocol for a Pretest Posttest Independent Measures Control Trial.

Science.gov (United States)

Doubé, Wendy; Carding, Paul; Flanagan, Kieran; Kaufman, Jordy; Armitage, Hannah

2018-01-01

Children with speech sound disorders benefit from feedback about the accuracy of sounds they make. Home practice can reinforce feedback received from speech pathologists. Games in mobile device applications could encourage home practice, but those currently available are of limited value because they are unlikely to elaborate "Correct"/"Incorrect" feedback with information that can assist in improving the accuracy of the sound. This protocol proposes a "Wizard of Oz" experiment that aims to provide evidence for the provision of effective multimedia feedback for speech sound development. Children with two common speech sound disorders will play a game on a mobile device and make speech sounds when prompted by the game. A human "Wizard" will provide feedback on the accuracy of the sound but the children will perceive the feedback as coming from the game. Groups of 30 young children will be randomly allocated to one of five conditions: four types of feedback and a control which does not play the game. The results of this experiment will inform not only speech sound therapy, but also other types of language learning, both in general, and in multimedia applications. This experiment is a cost-effective precursor to the development of a mobile application that employs pedagogically and clinically sound processes for speech development in young children.

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The procedural learning deficit hypothesis of language learning disorders: we see some problems.

Science.gov (United States)

West, Gillian; Vadillo, Miguel A; Shanks, David R; Hulme, Charles

2018-03-01

Impaired procedural learning has been suggested as a possible cause of developmental dyslexia (DD) and specific language impairment (SLI). This study examined the relationship between measures of verbal and non-verbal implicit and explicit learning and measures of language, literacy and arithmetic attainment in a large sample of 7 to 8-year-old children. Measures of verbal explicit learning were correlated with measures of attainment. In contrast, no relationships between measures of implicit learning and attainment were found. Critically, the reliability of the implicit learning tasks was poor. Our results show that measures of procedural learning, as currently used, are typically unreliable and insensitive to individual differences. A video abstract of this article can be viewed at: https://www.youtube.com/watch?v=YnvV-BvNWSo. 2017 The Authors. Developmental Science Published by John Wiley & Sons Ltd.

Pre-registration nursing student's quality of practice learning: Clinical learning environment inventory (actual) questionnaire.

Science.gov (United States)

Shivers, Eleanor; Hasson, Felicity; Slater, Paul

2017-08-01

Clinical learning is a vital component of nurse education and assessing student's experiences can provide useful insights for development. Whilst most research in this area has focused on the acute setting little attention has been given to all pre-registration nurses' experience across the clinical placements arenas. To examine of pre-registration nursing students (first, second and third year) assessment of their actual experiences of their most recent clinical learning clinical learning experience. A cross sectional survey involving a descriptive online anonymous questionnaire based on the clinical learning environment inventory tool. One higher education institution in the United Kingdom. Nursing students (n=147) enrolled in an undergraduate nursing degree. This questionnaire included demographic questions and the Clinical Learning Environment Inventory (CLEI) a 42 item tool measuring student's satisfaction with clinical placement. SPPS version 22 was employed to analyse data with descriptive and inferential statistics. Overall students were satisfied with their clinical learning experience across all placement areas. This was linked to the 6 constructs of the clinical learning environment inventory; personalization, innovation, individualization, task orientation, involvement, satisfaction. Significant differences in student experience were noted between age groups and student year but there was no difference noted between placement type, age and gender. Nursing students had a positive perception of their clinical learning experience, although there remains room for improvement. Enabling a greater understanding of students' perspective on the quality of clinical education is important for nursing education and future research. Copyright © 2017. Published by Elsevier Ltd.

Groupware sebagai Salah Satu Teknologi Informasi untuk E- Learning (Distance Learning

Directory of Open Access Journals (Sweden)

Julisar Julisar

2013-12-01

Full Text Available E-Learning is the process of distance learning by using of computer technology, computer network and/or Internet. E-Learning is delivered by utilizing computing devices. With e-learning, lecture material can be distributed either on-line using a network connection as well as off-line using a mobile media. One type of software used in distance learning is Groupware. It is a software product to support a group of people who share a task or goal to work together to achieve that goal. Two types of groupware technology are Electronic Teleconferencing and Real-time Collaboration Tools. Electronic Teleconferencing is electronic communication technology that allows two or more people in different locations to simultaneously conduct the conference. In Video Conference, participants in a location can see the other participants who are in different locations.

Learning Progressions as Tools for Assessment and Learning

Science.gov (United States)

Shepard, Lorrie A.

2018-01-01

This article addresses the teaching and learning side of the learning progressions literature, calling out for measurement specialists the knowledge most needed when collaborating with subject-matter experts in the development of learning progressions. Learning progressions are one of the strongest instantiations of principles from "Knowing…

How we learn

DEFF Research Database (Denmark)

Illeris, Knud

How We Learn, deals with the fundamental issues of the processes of learning, critically assessing different types of learning and obstacles to learning. It also considers a broad range of other important questions in relation to learning such as: modern research into learning and brain functions......, self-perception, motivation and competence development, teaching, intelligence and learning style, learning in relation to gender and life age. The book provides a comprehensive introduction to both traditional learning theory and the newest international research into learning processes, while...... at the same time being an innovative contribution to a new and more holistic understanding of learning including discussion on school-based learning, net-based learning, workplace learning and educational politics. How We Learn examines all the key factors that help to create a holistic understanding of what...

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Validation of an Instrument to Measure Students' Motivation and Self-Regulation towards Technology Learning

Science.gov (United States)

Liou, Pey-Yan; Kuo, Pei-Jung

2014-01-01

Background: Few studies have examined students' attitudinal perceptions of technology. There is no appropriate instrument to measure senior high school students' motivation and self-regulation toward technology learning among the current existing instruments in the field of technology education. Purpose: The present study is to validate an…

Lifelong learning in an age of measurement

DEFF Research Database (Denmark)

Kauffmann, Oliver

2013-01-01

There has been a shift in interest from ‘lifelong education’ to ‘lifelong learning’ in the Western world since the 1990s. This shift is closely related to strategies for securing the competitiveness of national economies. For this purpose one of the tools applied by educational policy makers has...... been to invoke ‘the golden standard(s)’ of evidence based research into the domain of learning. A number of problems with this approach are that the very conception of learning is broad, vague, ambiguous and does not in itself give us a normative handle which can help us with education. There might...... be one particular area, however, where evidence based learning research might be thought to have a strong foothold: in the brain sciences. And certainly a rapidly growing interest in ‘educational neuroscience’ has emerged within the last 10 years. But is it possible to bridge the gap between ‘studying...

Acoustic emission measurements on type 316 stainless steel

International Nuclear Information System (INIS)

Palmer, I.G.; Holt, J.; Goddard, D.J.

1976-01-01

Acoustic emission measurements have been made on Type 316 stainless steel in the solution treated condition, as part of a feasibility study for the monitoring of fast reactor components. The work involved testing both plain tensile specimens and precracked compact tension specimens in the temperature range 20-200 deg C. At 20 deg C plastic deformation was a quiet process but ductile crack growth was accompanied by high amplitude emissions capable of detection on plant. At 200 deg C both plastic deformation and ductile crack growth were quiet

WE-A-BRE-01: Debate: To Measure or Not to Measure

International Nuclear Information System (INIS)

Moran, J; Miften, M; Mihailidis, D

2014-01-01

Recent studies have highlighted some of the limitations of patient-specific pre-treatment IMRT QA measurements with respect to assessing plan deliverability. Pre-treatment QA measurements are frequently performed with detectors in phantoms that do not involve any patient heterogeneities or with an EPID without a phantom. Other techniques have been developed where measurement results are used to recalculate the patient-specific dose volume histograms. Measurements continue to play a fundamental role in understanding the initial and continued performance of treatment planning and delivery systems. Less attention has been focused on the role of computational techniques in a QA program such as calculation with independent dose calculation algorithms or recalculation of the delivery with machine log files or EPID measurements. This session will explore the role of pre-treatment measurements compared to other methods such as computational and transit dosimetry techniques. Efficiency and practicality of the two approaches will also be presented and debated. The speakers will present a history of IMRT quality assurance and debate each other regarding which types of techniques are needed today and for future quality assurance. Examples will be shared of situations where overall quality needed to be assessed with calculation techniques in addition to measurements. Elements where measurements continue to be crucial such as for a thorough end-to-end test involving measurement will be discussed. Operational details that can reduce the gamma tool effectiveness and accuracy for patient-specific pre-treatment IMRT/VMAT QA will be described. Finally, a vision for the future of IMRT and VMAT plan QA will be discussed from a safety perspective. Learning Objectives: Understand the advantages and limitations of measurement and calculation approaches for pre-treatment measurements for IMRT and VMAT planning Learn about the elements of a balanced quality assurance program involving

Personality Types, Learning Styles, and Educational Goals.

Science.gov (United States)

Miller, Alan

1991-01-01

Outlines a new personality typology that provides a coherent system for construing and conducting research on learning styles. Discusses analytic, holistic, objective, and subjective styles as the affect versatility. Presents implications for educational goals, such as determining which students can benefit from stylistic versatility and which…

Examining the Relationships of Different Cognitive Load Types Related to User Interface in Web-Based Instruction

Science.gov (United States)

Cheon, Jongpil; Grant, Michael

2012-01-01

This study proposes a new instrument to measure cognitive load types related to user interface and demonstrates theoretical assumptions about different load types. In reconsidering established cognitive load theory, the inadequacies of the theory are criticized in terms of the adaption of learning efficiency score and distinction of cognitive load…

Learning Physics Down a Slide: A Set of Experiments to Measure Reality Through Smartphone Sensors

Directory of Open Access Journals (Sweden)

Lander Martínez

2014-06-01

Full Text Available During the last decade, the use of smartphones among teenagers in their daily life has grown significantly. Despite the efforts to use tablets in learning processes, these teenagers are often prompted to switch off their personal devices before entering a classroom. Moreover, most mobile learning applications do not take advantage of the device sensors (e.g., touchscreen, accelerometer, or gyroscope. In order to overcome this situation, we have developed Serious Physics, a free mobile app that allows using smartphones as measuring tools to conduct experiments on Physics.

The Construct Validity of an Instrument for Measuring Type 2 ...

African Journals Online (AJOL)

Abstract. Purpose: To develop an instrument (DSCKQ-30) for measuring type 2 diabetic patients' knowledge of self-care practices. Methods: A 30-item questionnaire (DSCKQ-30) consisting of close ended questions was developed for this study. DSCKQ-30 was self administered to a cross-section of randomly selected 400 ...

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Classification of Strawberry Fruit Shape by Machine Learning

Science.gov (United States)

Ishikawa, T.; Hayashi, A.; Nagamatsu, S.; Kyutoku, Y.; Dan, I.; Wada, T.; Oku, K.; Saeki, Y.; Uto, T.; Tanabata, T.; Isobe, S.; Kochi, N.

2018-05-01

Shape is one of the most important traits of agricultural products due to its relationships with the quality, quantity, and value of the products. For strawberries, the nine types of fruit shape were defined and classified by humans based on the sampler patterns of the nine types. In this study, we tested the classification of strawberry shapes by machine learning in order to increase the accuracy of the classification, and we introduce the concept of computerization into this field. Four types of descriptors were extracted from the digital images of strawberries: (1) the Measured Values (MVs) including the length of the contour line, the area, the fruit length and width, and the fruit width/length ratio; (2) the Ellipse Similarity Index (ESI); (3) Elliptic Fourier Descriptors (EFDs), and (4) Chain Code Subtraction (CCS). We used these descriptors for the classification test along with the random forest approach, and eight of the nine shape types were classified with combinations of MVs + CCS + EFDs. CCS is a descriptor that adds human knowledge to the chain codes, and it showed higher robustness in classification than the other descriptors. Our results suggest machine learning's high ability to classify fruit shapes accurately. We will attempt to increase the classification accuracy and apply the machine learning methods to other plant species.

EFFECTIVENESS OF LEARNING PROCESS USING “WEB TECHNOLOGY” IN THE DISTANCE LEARNING SYSTEM

OpenAIRE

Manoj KILLEDAR

2008-01-01

Web is a globally distributed, still highly personalized media for cost-effective delivery of multimedia information and services. Web is expected to have a strong impact on almost every aspect of how we learn. ‘Total Quality’ is the totality of features, as perceived by the customers of the product or service. Totality of features includes stated as well as implied needs and expectations of all types of customers. No quality improvement is possible without its unambiguous measurement. But, ‘...

Handwriting generates variable visual output to facilitate symbol learning.

Science.gov (United States)

Li, Julia X; James, Karin H

2016-03-01

Recent research has demonstrated that handwriting practice facilitates letter categorization in young children. The present experiments investigated why handwriting practice facilitates visual categorization by comparing 2 hypotheses: that handwriting exerts its facilitative effect because of the visual-motor production of forms, resulting in a direct link between motor and perceptual systems, or because handwriting produces variable visual instances of a named category in the environment that then changes neural systems. We addressed these issues by measuring performance of 5-year-old children on a categorization task involving novel, Greek symbols across 6 different types of learning conditions: 3 involving visual-motor practice (copying typed symbols independently, tracing typed symbols, tracing handwritten symbols) and 3 involving visual-auditory practice (seeing and saying typed symbols of a single typed font, of variable typed fonts, and of handwritten examples). We could therefore compare visual-motor production with visual perception both of variable and similar forms. Comparisons across the 6 conditions (N = 72) demonstrated that all conditions that involved studying highly variable instances of a symbol facilitated symbol categorization relative to conditions where similar instances of a symbol were learned, regardless of visual-motor production. Therefore, learning perceptually variable instances of a category enhanced performance, suggesting that handwriting facilitates symbol understanding by virtue of its environmental output: supporting the notion of developmental change though brain-body-environment interactions. (PsycINFO Database Record (c) 2016 APA, all rights reserved).

Development of a supported self-management intervention for adults with type 2 diabetes and a learning disability.

Science.gov (United States)

House, Allan; Latchford, Gary; Russell, Amy M; Bryant, Louise; Wright, Judy; Graham, Elizabeth; Stansfield, Alison; Ajjan, Ramzi

2018-01-01

Although supported self-management is a well-recognised part of chronic disease management, it has not been routinely used as part of healthcare for adults with a learning disability. We developed an intervention for adults with a mild or moderate learning disability and type 2 diabetes, building on the principles of supported self-management with reasonable adjustments made for the target population. In five steps, we:Clarified the principles of supported self-management as reported in the published literatureIdentified the barriers to effective self-management of type 2 diabetes in adults with a learning disabilityReviewed existing materials that aim to support self-management of diabetes for people with a learning disabilitySynthesised the outputs from the first three phases and identified elements of supported self-management that were (a) most relevant to the needs of our target population and (b) most likely to be acceptable and useful to themImplemented and field tested the intervention. The final intervention had four standardised components: (1) establishing the participant's daily routines and lifestyle, (2) identifying supporters and their roles, (3) using this information to inform setting realistic goals and providing materials to the patient and supporter to help them be achieved and (4) monitoring progress against goals.Of 41 people randomised in a feasibility RCT, thirty five (85%) completed the intervention sessions, with over three quarters of all participants (78%) attending at least three sessions.Twenty-three out of 40 (58%) participants were deemed to be very engaged with the sessions and 12/40 (30%) with the materials; 30 (73%) participants had another person present with them during at least one of their sessions; 15/41 (37%) were reported to have a very engaged main supporter, and 18/41 (44%) had a different person who was not their main supporter but who was engaged in the intervention implementation. The intervention was feasible to

Thermoluminescent dose measurements on board Salyut type orbital stations

International Nuclear Information System (INIS)

Akatov, Yu.A.; Arkhangelskij, V.V.; Aleksandrov, A.P.

1984-06-01

A small, vibration- and shock-resistant thermoluminescent dosemeter (TLD) system - named PILLE - was developed for orbital stations at the Central Research Institute for Physics, Hungary, to measure the cosmic radiation dose on-board. The first on-board measurements with this system were performed by B. Farkas, the Hungarian astronaut, on the Salyut-6 space station in 1980. The same instrument was used by other crews in the following years. Doses measured at different sites in Salyut-6 are presented. The dose rates varied from 0.7 to 0.11 mGy.day -1 . After the first cosmic measurements, the system was further developed. The minimum detectable dose of the new TLD system is 1 μGy, i.e. less by one order of magnitude than that of the former system. The self-irradiation dose rate of the TLD bulbs is also reduced by more than an order of magnitude to 10 nGy.h -1 , by use of potassium-free glass for the bulb envelope. This new type of PILLE TLD system is currently on-board Salyut-7. The dose rates (0.12-0.23 mGy.day -1 ) measured in 1983 are presented in detail. (author)

Measuring Teaching Effectiveness: Correspondence between Students' Evaluations of Teaching and Different Measures of Student Learning

Science.gov (United States)

Stehle, Sebastian; Spinath, Birgit; Kadmon, Martina

2012-01-01

Relating students' evaluations of teaching (SETs) to student learning as an approach to validate SETs has produced inconsistent results. The present study tested the hypothesis that the strength of association of SETs and student learning varies with the criteria used to indicate student learning. A multisection validity approach was employed to…

Measurement of functional task difficulty during motor learning: What level of difficulty corresponds to the optimal challenge point?

Science.gov (United States)

Akizuki, Kazunori; Ohashi, Yukari

2015-10-01

The relationship between task difficulty and learning benefit was examined, as was the measurability of task difficulty. Participants were required to learn a postural control task on an unstable surface at one of four different task difficulty levels. Results from the retention test showed an inverted-U relationship between task difficulty during acquisition and motor learning. The second-highest level of task difficulty was the most effective for motor learning, while learning was delayed at the most and least difficult levels. Additionally, the results indicate that salivary α-amylase and the performance dimension of the National Aeronautics and Space Administration-Task Load Index (NASA-TLX) are useful indices of task difficulty. Our findings suggested that instructors may be able to adjust task difficulty based on salivary α-amylase and the performance dimension of the NASA-TLX to enhance learning. Copyright © 2015 Elsevier B.V. All rights reserved.

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Measuring the e-Learning Autonomy of Distance Education Students

Directory of Open Access Journals (Sweden)

Mehmet Firat

2016-08-01

Full Text Available Previous studies have provided evidence that learner autonomy is an important factor in academic achievement. However, few studies have investigated the autonomy of distance education students in e-learning environments. The purpose of this study is to evaluate the e-learning autonomy of distance education students who are responsible for their own learning. For this purpose, as the first step of the study, an e-learning autonomy scale was developed. Analyses of the validity and reliability of the scale were carried out with the participation of 1,152 distance education students from Anadolu University, Open Education System. The scale has an internal consistency coefficient of α = 0.952 and a single factorial model that explains 66.58% of the total variance. The scale was implemented with 3,293 students from 42 different programs. According to the findings, student autonomy in e-learning environments is directly proportional to level of ICT use but not affected by program or gender.

Predicting ground contact events for a continuum of gait types: An application of targeted machine learning using principal component analysis.

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Osis, Sean T; Hettinga, Blayne A; Ferber, Reed

2016-05-01

An ongoing challenge in the application of gait analysis to clinical settings is the standardized detection of temporal events, with unobtrusive and cost-effective equipment, for a wide range of gait types. The purpose of the current study was to investigate a targeted machine learning approach for the prediction of timing for foot strike (or initial contact) and toe-off, using only kinematics for walking, forefoot running, and heel-toe running. Data were categorized by gait type and split into a training set (∼30%) and a validation set (∼70%). A principal component analysis was performed, and separate linear models were trained and validated for foot strike and toe-off, using ground reaction force data as a gold-standard for event timing. Results indicate the model predicted both foot strike and toe-off timing to within 20ms of the gold-standard for more than 95% of cases in walking and running gaits. The machine learning approach continues to provide robust timing predictions for clinical use, and may offer a flexible methodology to handle new events and gait types. Copyright © 2016 Elsevier B.V. All rights reserved.

The "Intentionality Measurement Instrument" [or "IMI"]: A Comprehensive Psychometric Instrument Based upon the Dual Quadrant Scalar Model of Intentionality That Is Designed to Measure Intent, Motive Type, and Disposition

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Osler, James Edward, II

2016-01-01

The overall aim of this paper is to provide an epistemological rational for the measurement of intentionality. The purpose of this narrative is to identify "Intentionality" as an arena of action in the dispositional learning domain can be measured using an "Intentionality Measurement Instrument" [also referred by the acronym…

Video Game Learning Dynamics: Actionable Measures of Multidimensional Learning Trajectories

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Reese, Debbie Denise; Tabachnick, Barbara G.; Kosko, Robert E.

2015-01-01

Valid, accessible, reusable methods for instructional video game design and embedded assessment can provide actionable information enhancing individual and collective achievement. Cyberlearning through game-based, metaphor-enhanced learning objects (CyGaMEs) design and embedded assessment quantify player behavior to study knowledge discovery and…

Formative assessment and learning analytics

NARCIS (Netherlands)

Tempelaar, D.T.; Heck, A.; Cuypers, H.; van der Kooij, H.; van de Vrie, E.; Suthers, D.; Verbert, K.; Duval, E.; Ochoa, X.

2013-01-01

Learning analytics seeks to enhance the learning process through systematic measurements of learning related data, and informing learners and teachers of the results of these measurements, so as to support the control of the learning process. Learning analytics has various sources of information,

Online incidental statistical learning of audiovisual word sequences in adults: a registered report.

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Kuppuraj, Sengottuvel; Duta, Mihaela; Thompson, Paul; Bishop, Dorothy

2018-02-01

Statistical learning has been proposed as a key mechanism in language learning. Our main goal was to examine whether adults are capable of simultaneously extracting statistical dependencies in a task where stimuli include a range of structures amenable to statistical learning within a single paradigm. We devised an online statistical learning task using real word auditory-picture sequences that vary in two dimensions: (i) predictability and (ii) adjacency of dependent elements. This task was followed by an offline recall task to probe learning of each sequence type. We registered three hypotheses with specific predictions. First, adults would extract regular patterns from continuous stream (effect of grammaticality). Second, within grammatical conditions, they would show differential speeding up for each condition as a factor of statistical complexity of the condition and exposure. Third, our novel approach to measure online statistical learning would be reliable in showing individual differences in statistical learning ability. Further, we explored the relation between statistical learning and a measure of verbal short-term memory (STM). Forty-two participants were tested and retested after an interval of at least 3 days on our novel statistical learning task. We analysed the reaction time data using a novel regression discontinuity approach. Consistent with prediction, participants showed a grammaticality effect, agreeing with the predicted order of difficulty for learning different statistical structures. Furthermore, a learning index from the task showed acceptable test-retest reliability ( r  = 0.67). However, STM did not correlate with statistical learning. We discuss the findings noting the benefits of online measures in tracking the learning process.

Invading Public Spaces: Exploring the Effects of Media Type and Social Prompts on Learning Outcomes in an Interactive Environment

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Downs, Edward; Erickson, Sarah; Borrett, Jacqueline

2017-01-01

A 2 × 2, fully-crossed, quasi-experimental design was employed to determine if type of media (rich media vs. lean media) and social prompting (presence of prompts vs. absence of prompts) would differentially impact learning outcomes for patrons interacting with an aquatic invasive species exhibit. Results indicated that the lean-media condition…

Measuring Curricular Impact on Dental Hygiene Students' Transformative Learning.

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Springfield, Emily C; Smiler, Andrew P; Gwozdek, Anne E

2015-12-01

Previous research has suggested that transformative learning can be fostered in higher education by creating active learning experiences that are directly related to content taught, are personally engaging, and can stimulate reflection. The aim of this qualitative study was to assess changes experienced by students in an e-learning dental hygiene degree completion program beyond attainment of competence-changes that may be described as transformative learning. The data used were transcripts of focus groups that had been conducted with each of the first five cohorts of students to graduate from the program; a total of 30 of the 42 students in the five cohorts (71%) participated. Using their previously developed Transformation Rubric for Engaged Learning, the authors categorized focus group data to identify changes in students' confidence, pride, skills, perceptions of the world, and personal identity at the transformative and nontransformative levels. Every participant reported at least one change; overall, the students averaged 8.3 changes. The vast majority (84%) of these changes were transformative. Middle-performing students showed a disproportionately higher rate of transformational changes in the areas of confidence and pride. The e-learning program appeared to have had a significant transformative impact on students, but additional research on the effect on middle-performing students is warranted.

A machine learning-based framework to identify type 2 diabetes through electronic health records.

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Zheng, Tao; Xie, Wei; Xu, Liling; He, Xiaoying; Zhang, Ya; You, Mingrong; Yang, Gong; Chen, You

2017-01-01

To discover diverse genotype-phenotype associations affiliated with Type 2 Diabetes Mellitus (T2DM) via genome-wide association study (GWAS) and phenome-wide association study (PheWAS), more cases (T2DM subjects) and controls (subjects without T2DM) are required to be identified (e.g., via Electronic Health Records (EHR)). However, existing expert based identification algorithms often suffer in a low recall rate and could miss a large number of valuable samples under conservative filtering standards. The goal of this work is to develop a semi-automated framework based on machine learning as a pilot study to liberalize filtering criteria to improve recall rate with a keeping of low false positive rate. We propose a data informed framework for identifying subjects with and without T2DM from EHR via feature engineering and machine learning. We evaluate and contrast the identification performance of widely-used machine learning models within our framework, including k-Nearest-Neighbors, Naïve Bayes, Decision Tree, Random Forest, Support Vector Machine and Logistic Regression. Our framework was conducted on 300 patient samples (161 cases, 60 controls and 79 unconfirmed subjects), randomly selected from 23,281 diabetes related cohort retrieved from a regional distributed EHR repository ranging from 2012 to 2014. We apply top-performing machine learning algorithms on the engineered features. We benchmark and contrast the accuracy, precision, AUC, sensitivity and specificity of classification models against the state-of-the-art expert algorithm for identification of T2DM subjects. Our results indicate that the framework achieved high identification performances (∼0.98 in average AUC), which are much higher than the state-of-the-art algorithm (0.71 in AUC). Expert algorithm-based identification of T2DM subjects from EHR is often hampered by the high missing rates due to their conservative selection criteria. Our framework leverages machine learning and feature

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

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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…

The effects of different types of video modelling on undergraduate students’ motivation and learning in an academic writing course

Directory of Open Access Journals (Sweden)

Mariet Raedts

2017-02-01

Full Text Available This study extends previous research on observational learning in writing. It was our objective to enhance students’ motivation and learning in an academic writing course on research synthesis writing. Participants were 162 first-year college students who had no experience with the writing task. Based on Bandura’s Social Cognitive Theory we developed two videos. In the first video a manager (prestige model elaborated on how synthesizing information is important in professional life. In the second video a peer model demonstrated a five-step writing strategy for writing up a research synthesis. We compared two versions of this video. In the explicit-strategy-instruction-video we added visual cues to channel learners’ attention to critical features of the demonstrated task using an acronym in which each letter represented a step of the model’s strategy. In the implicit-strategy-instruction-video these cues were absent. The effects of the videos were tested using a 2x2 factorial between-subjects design with video of the prestige model (yes/no and type of instructional video (implicit versus explicit strategy instruction as factors. Four post-test measures were obtained: task value, self-efficacy beliefs, task knowledge and writing performances. Path analyses revealed that the prestige model did not affect students’ task value. Peer-mediated explicit strategy instruction had no effect on self-efficacy, but a strong effect on task knowledge. Task knowledge – in turn – was found to be predictive of writing performance.

IP-MLI: An Independency of Learning Materials from Platforms in a Mobile Learning using Intelligent Method

Directory of Open Access Journals (Sweden)

Mohammed Abdallh Otair

2006-06-01

Full Text Available Attempting to deliver a monolithic mobile learning system is too inflexible in view of the heterogeneous mixture of hardware and services available and the desirability of facility blended approaches to learning delivery, and how to build learning materials to run on all platforms[1]. This paper proposes a framework of mobile learning system using an intelligent method (IP-MLI . A fuzzy matching method is used to find suitable learning material design. It will provide a best matching for each specific platform type for each learner. The main contribution of the proposed method is to use software layer to insulate learning materials from device-specific features. Consequently, many versions of learning materials can be designed to work on many platform types.

Mobile Learning in the Institution of Higher Learning for Malaysia Students : Culture Perspectives

OpenAIRE

Ariffin, Shamsul Arrieya

2011-01-01

Mobile learning usage in a developing country like Malaysia can be considered new. This literature research  is a state of art overview to discuss current issues. The emerging issues come from: types of mobile learning and learning styles; implementation issues of mobile learning; culture dimensions; and user readiness to accept the mobile learning technology. Currently, there is a lack of research about culture aspects to improve mobile learning and university students’ engagement in Malaysi...

Fission rate measurements in fuel plate type assembly reactor cores

International Nuclear Information System (INIS)

Rogers, J.W.

1988-01-01

The methods, materials and equipment have been developed to allow extensive and precise measurement of fission rate distributions in water moderated, U-Al fuel plate assembly type reactor cores. Fission rate monitors are accurately positioned in the reactor core, the reactor is operated at a low power for a short time, the fission rate monitors are counted with detectors incorporating automated sample changers and the measurements are converted to fission rate distributions. These measured fission rate distributions have been successfully used as baseline information related to the operation of test and experimental reactors with respect to fission power and distribution, fuel loading and fission experiments for approximately twenty years at the Idaho National Engineering Laboratory (INEL). 7 refs., 8 figs

Exogenous and endogenous attention during perceptual learning differentially affect post-training target thresholds

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Mukai, Ikuko; Bahadur, Kandy; Kesavabhotla, Kartik; Ungerleider, Leslie G.

2012-01-01

There is conflicting evidence in the literature regarding the role played by attention in perceptual learning. To further examine this issue, we independently manipulated exogenous and endogenous attention and measured the rate of perceptual learning of oriented Gabor patches presented in different quadrants of the visual field. In this way, we could track learning at attended, divided-attended, and unattended locations. We also measured contrast thresholds of the Gabor patches before and after training. Our results showed that, for both exogenous and endogenous attention, accuracy in performing the orientation discrimination improved to a greater extent at attended than at unattended locations. Importantly, however, only exogenous attention resulted in improved contrast thresholds. These findings suggest that both exogenous and endogenous attention facilitate perceptual learning, but that these two types of attention may be mediated by different neural mechanisms. PMID:21282340

Applications of machine learning in cancer prediction and prognosis.

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Cruz, Joseph A; Wishart, David S

2007-02-11

Machine learning is a branch of artificial intelligence that employs a variety of statistical, probabilistic and optimization techniques that allows computers to "learn" from past examples and to detect hard-to-discern patterns from large, noisy or complex data sets. This capability is particularly well-suited to medical applications, especially those that depend on complex proteomic and genomic measurements. As a result, machine learning is frequently used in cancer diagnosis and detection. More recently machine learning has been applied to cancer prognosis and prediction. This latter approach is particularly interesting as it is part of a growing trend towards personalized, predictive medicine. In assembling this review we conducted a broad survey of the different types of machine learning methods being used, the types of data being integrated and the performance of these methods in cancer prediction and prognosis. A number of trends are noted, including a growing dependence on protein biomarkers and microarray data, a strong bias towards applications in prostate and breast cancer, and a heavy reliance on "older" technologies such artificial neural networks (ANNs) instead of more recently developed or more easily interpretable machine learning methods. A number of published studies also appear to lack an appropriate level of validation or testing. Among the better designed and validated studies it is clear that machine learning methods can be used to substantially (15-25%) improve the accuracy of predicting cancer susceptibility, recurrence and mortality. At a more fundamental level, it is also evident that machine learning is also helping to improve our basic understanding of cancer development and progression.

Psychometric Properties of the Epistemological Development in Teaching Learning Questionnaire (EDTLQ): An Inventory to Measure Higher Order Epistemological Development

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Kjellström, Sofia; Golino, Hudson; Hamer, Rebecca; Van Rossum, Erik Jan; Almers, Ellen

2016-01-01

Qualitative research supports a developmental dimension in views on teaching and learning, but there are currently no quantitative tools to measure the full range of this development. To address this, we developed the Epistemological Development in Teaching and Learning Questionnaire (EDTLQ). In the current study the psychometric properties of the…

Comparing Feedback Types in Multimedia Learning of Speech by Young Children With Common Speech Sound Disorders: Research Protocol for a Pretest Posttest Independent Measures Control Trial

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Doubé, Wendy; Carding, Paul; Flanagan, Kieran; Kaufman, Jordy; Armitage, Hannah

2018-01-01

Children with speech sound disorders benefit from feedback about the accuracy of sounds they make. Home practice can reinforce feedback received from speech pathologists. Games in mobile device applications could encourage home practice, but those currently available are of limited value because they are unlikely to elaborate “Correct”/”Incorrect” feedback with information that can assist in improving the accuracy of the sound. This protocol proposes a “Wizard of Oz” experiment that aims to provide evidence for the provision of effective multimedia feedback for speech sound development. Children with two common speech sound disorders will play a game on a mobile device and make speech sounds when prompted by the game. A human “Wizard” will provide feedback on the accuracy of the sound but the children will perceive the feedback as coming from the game. Groups of 30 young children will be randomly allocated to one of five conditions: four types of feedback and a control which does not play the game. The results of this experiment will inform not only speech sound therapy, but also other types of language learning, both in general, and in multimedia applications. This experiment is a cost-effective precursor to the development of a mobile application that employs pedagogically and clinically sound processes for speech development in young children. PMID:29674986

Comparing Feedback Types in Multimedia Learning of Speech by Young Children With Common Speech Sound Disorders: Research Protocol for a Pretest Posttest Independent Measures Control Trial

Directory of Open Access Journals (Sweden)

Wendy Doubé

2018-04-01

Full Text Available Children with speech sound disorders benefit from feedback about the accuracy of sounds they make. Home practice can reinforce feedback received from speech pathologists. Games in mobile device applications could encourage home practice, but those currently available are of limited value because they are unlikely to elaborate “Correct”/”Incorrect” feedback with information that can assist in improving the accuracy of the sound. This protocol proposes a “Wizard of Oz” experiment that aims to provide evidence for the provision of effective multimedia feedback for speech sound development. Children with two common speech sound disorders will play a game on a mobile device and make speech sounds when prompted by the game. A human “Wizard” will provide feedback on the accuracy of the sound but the children will perceive the feedback as coming from the game. Groups of 30 young children will be randomly allocated to one of five conditions: four types of feedback and a control which does not play the game. The results of this experiment will inform not only speech sound therapy, but also other types of language learning, both in general, and in multimedia applications. This experiment is a cost-effective precursor to the development of a mobile application that employs pedagogically and clinically sound processes for speech development in young children.

Impact of exposure measurement error in air pollution epidemiology: effect of error type in time-series studies.

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Goldman, Gretchen T; Mulholland, James A; Russell, Armistead G; Strickland, Matthew J; Klein, Mitchel; Waller, Lance A; Tolbert, Paige E

2011-06-22

Two distinctly different types of measurement error are Berkson and classical. Impacts of measurement error in epidemiologic studies of ambient air pollution are expected to depend on error type. We characterize measurement error due to instrument imprecision and spatial variability as multiplicative (i.e. additive on the log scale) and model it over a range of error types to assess impacts on risk ratio estimates both on a per measurement unit basis and on a per interquartile range (IQR) basis in a time-series study in Atlanta. Daily measures of twelve ambient air pollutants were analyzed: NO2, NOx, O3, SO2, CO, PM10 mass, PM2.5 mass, and PM2.5 components sulfate, nitrate, ammonium, elemental carbon and organic carbon. Semivariogram analysis was applied to assess spatial variability. Error due to this spatial variability was added to a reference pollutant time-series on the log scale using Monte Carlo simulations. Each of these time-series was exponentiated and introduced to a Poisson generalized linear model of cardiovascular disease emergency department visits. Measurement error resulted in reduced statistical significance for the risk ratio estimates for all amounts (corresponding to different pollutants) and types of error. When modelled as classical-type error, risk ratios were attenuated, particularly for primary air pollutants, with average attenuation in risk ratios on a per unit of measurement basis ranging from 18% to 92% and on an IQR basis ranging from 18% to 86%. When modelled as Berkson-type error, risk ratios per unit of measurement were biased away from the null hypothesis by 2% to 31%, whereas risk ratios per IQR were attenuated (i.e. biased toward the null) by 5% to 34%. For CO modelled error amount, a range of error types were simulated and effects on risk ratio bias and significance were observed. For multiplicative error, both the amount and type of measurement error impact health effect estimates in air pollution epidemiology. By modelling

Types of Homeschool Environments and Need Support for Children's Achievement Motivation

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Bell, Debra A.; Kaplan, Avi; Thurman, S. Kenneth

2016-01-01

Working within a self-determination theory (SDT) framework, this study used cluster analysis to examine the naturally occurring types of homeschool-learning environments parents (N = 457) have created. Measures of support for student autonomy, mastery goal structure, and use of conditional regard were adapted for a homeschool context and used as…

Factors Influencing Learning Environments in an Integrated Experiential Program

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Koci, Peter

The research conducted for this dissertation examined the learning environment of a specific high school program that delivered the explicit curriculum through an integrated experiential manner, which utilized field and outdoor experiences. The program ran over one semester (five months) and it integrated the grade 10 British Columbian curriculum in five subjects. A mixed methods approach was employed to identify the students' perceptions and provide richer descriptions of their experiences related to their unique learning environment. Quantitative instruments were used to assess changes in students' perspectives of their learning environment, as well as other supporting factors including students' mindfulness, and behaviours towards the environment. Qualitative data collection included observations, open-ended questions, and impromptu interviews with the teacher. The qualitative data describe the factors and processes that influenced the learning environment and give a richer, deeper interpretation which complements the quantitative findings. The research results showed positive scores on all the quantitative measures conducted, and the qualitative data provided further insight into descriptions of learning environment constructs that the students perceived as most important. A major finding was that the group cohesion measure was perceived by students as the most important attribute of their preferred learning environment. A flow chart was developed to help the researcher conceptualize how the learning environment, learning process, and outcomes relate to one another in the studied program. This research attempts to explain through the consideration of this case study: how learning environments can influence behavioural change and how an interconnectedness among several factors in the learning process is influenced by the type of learning environment facilitated. Considerably more research is needed in this area to understand fully the complexity learning

Abstraction and generalization in statistical learning: implications for the relationship between semantic types and episodic tokens

Science.gov (United States)

2017-01-01

Statistical approaches to emergent knowledge have tended to focus on the process by which experience of individual episodes accumulates into generalizable experience across episodes. However, there is a seemingly opposite, but equally critical, process that such experience affords: the process by which, from a space of types (e.g. onions—a semantic class that develops through exposure to individual episodes involving individual onions), we can perceive or create, on-the-fly, a specific token (a specific onion, perhaps one that is chopped) in the absence of any prior perceptual experience with that specific token. This article reviews a selection of statistical learning studies that lead to the speculation that this process—the generation, on the basis of semantic memory, of a novel episodic representation—is itself an instance of a statistical, in fact associative, process. The article concludes that the same processes that enable statistical abstraction across individual episodes to form semantic memories also enable the generation, from those semantic memories, of representations that correspond to individual tokens, and of novel episodic facts about those tokens. Statistical learning is a window onto these deeper processes that underpin cognition. This article is part of the themed issue ‘New frontiers for statistical learning in the cognitive sciences’. PMID:27872378

Abstraction and generalization in statistical learning: implications for the relationship between semantic types and episodic tokens.

Science.gov (United States)

Altmann, Gerry T M

2017-01-05

Statistical approaches to emergent knowledge have tended to focus on the process by which experience of individual episodes accumulates into generalizable experience across episodes. However, there is a seemingly opposite, but equally critical, process that such experience affords: the process by which, from a space of types (e.g. onions-a semantic class that develops through exposure to individual episodes involving individual onions), we can perceive or create, on-the-fly, a specific token (a specific onion, perhaps one that is chopped) in the absence of any prior perceptual experience with that specific token. This article reviews a selection of statistical learning studies that lead to the speculation that this process-the generation, on the basis of semantic memory, of a novel episodic representation-is itself an instance of a statistical, in fact associative, process. The article concludes that the same processes that enable statistical abstraction across individual episodes to form semantic memories also enable the generation, from those semantic memories, of representations that correspond to individual tokens, and of novel episodic facts about those tokens. Statistical learning is a window onto these deeper processes that underpin cognition.This article is part of the themed issue 'New frontiers for statistical learning in the cognitive sciences'. © 2016 The Author(s).

Study on the use of well-type NaI(TI) detector for 210Pb measurements

International Nuclear Information System (INIS)

Al-Azmi, Darwish; Mustapha, A.O.; Karunakara, N.

2013-01-01

The measurements of 210 Pb in environmental or geological samples are usually carried out using HPGe gamma spectrometers or by chemical separation followed by low background beta counting system. In the present study, the possibility of using a well-type NaI(TI) detector for the measurement of 210 Pb in such measurements has been explored. The measurements were tested using a well-type NaI(TI) detector of a standard size 7.6 cm x 7.6 cm (3x3 inches) with a well size of 2.86 cm diameter and 5.08 cm depth, which can accommodate vials of 20 ml capacity. The performance of the detector was tested by measuring the low-energy photons 46.5 keV of 210 Pb from the IAEA standard reference material. It is observed that the shape of the energy spectrum has been found to be comparable with those obtained using thin crystal (1.9 mm) NaI detectors for such low-photon energies. Therefore, it is expected that this well-type detector will prove useful in such low-energy photon measurements. (author)

An exploratory analysis of personality, attitudes, and study skills on the learning curve within a team-based learning environment.

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Persky, Adam M; Henry, Teague; Campbell, Ashley

2015-03-25

To examine factors that determine the interindividual variability of learning within a team-based learning environment. Students in a pharmacokinetics course were given 4 interim, low-stakes cumulative assessments throughout the semester and a cumulative final examination. Students' Myers-Briggs personality type was assessed, as well as their study skills, motivations, and attitudes towards team-learning. A latent curve model (LCM) was applied and various covariates were assessed to improve the regression model. A quadratic LCM was applied for the first 4 assessments to predict final examination performance. None of the covariates examined significantly impacted the regression model fit except metacognitive self-regulation, which explained some of the variability in the rate of learning. There were some correlations between personality type and attitudes towards team learning, with introverts having a lower opinion of team-learning than extroverts. The LCM could readily describe the learning curve. Extroverted and introverted personality types had the same learning performance even though preference for team-learning was lower in introverts. Other personality traits, study skills, or practice did not significantly contribute to the learning variability in this course.

Students’ Motivation for Learning in Virtual Learning Environments

OpenAIRE

Beluce, Andrea Carvalho; Oliveira, Katya Luciane de

2015-01-01

The specific characteristics of online education require of the student engagement and autonomy, factors which are related to motivation for learning. This study investigated students’ motivation in virtual learning environments (VLEs). For this, it used the Teaching and Learning Strategy and Motivation to Learn Scale in Virtual Learning Environments (TLSM-VLE). The scale presented 32 items and six dimensions, three of which aimed to measure the variables of autonomous motivation, controlled ...

Identification and characterization of plastid-type proteins from sequence-attributed features using machine learning

Science.gov (United States)

2013-01-01

Background Plastids are an important component of plant cells, being the site of manufacture and storage of chemical compounds used by the cell, and contain pigments such as those used in photosynthesis, starch synthesis/storage, cell color etc. They are essential organelles of the plant cell, also present in algae. Recent advances in genomic technology and sequencing efforts is generating a huge amount of DNA sequence data every day. The predicted proteome of these genomes needs annotation at a faster pace. In view of this, one such annotation need is to develop an automated system that can distinguish between plastid and non-plastid proteins accurately, and further classify plastid-types based on their functionality. We compared the amino acid compositions of plastid proteins with those of non-plastid ones and found significant differences, which were used as a basis to develop various feature-based prediction models using similarity-search and machine learning. Results In this study, we developed separate Support Vector Machine (SVM) trained classifiers for characterizing the plastids in two steps: first distinguishing the plastid vs. non-plastid proteins, and then classifying the identified plastids into their various types based on their function (chloroplast, chromoplast, etioplast, and amyloplast). Five diverse protein features: amino acid composition, dipeptide composition, the pseudo amino acid composition, Nterminal-Center-Cterminal composition and the protein physicochemical properties are used to develop SVM models. Overall, the dipeptide composition-based module shows the best performance with an accuracy of 86.80% and Matthews Correlation Coefficient (MCC) of 0.74 in phase-I and 78.60% with a MCC of 0.44 in phase-II. On independent test data, this model also performs better with an overall accuracy of 76.58% and 74.97% in phase-I and phase-II, respectively. The similarity-based PSI-BLAST module shows very low performance with about 50% prediction

Comparison of physical chewing measures to consumer typed Mouth Behavior.

Science.gov (United States)

Wilson, Arran; Jeltema, Melissa; Morgenstern, Marco P; Motoi, Lidia; Kim, Esther; Hedderley, Duncan

2018-02-15

The purpose of this study was to investigate the hypotheses that when presented with foods that could be chewed in different ways, (1) are participants jaw movements and chewing sequence measures correlated with Mouth Behavior (MB) group, as measured by the JBMB typing tool? (2) can MB group membership can be predicted from jaw movement and chewing sequence measures? One hundred subjects (69 female and 31 male, mean age 27 ± 7.7 years) were given four different foods (Mentos, Walkers, Cheetos Puffs, Twix) and video recordings of their jaw movements made. Twenty-nine parameters were calculated on each chewing sequence with 27 also calculated for the first half and second half of chewing sequence. Subjects were assigned to a MB group using the JBMB typing tool which gives four MB groups ("Chewers," "Crunchers," "Smooshers," and "Suckers"). The differences between individual chewing parameters and MB group were assessed with analysis of variance which showed only small differences in average chewing parameters between the MB groups. By using discriminant analysis, it was possible to partially discriminate between MB groups based on changes in their chewing parameters between foods with different material properties and stages of the chewing. A 19-variable model correctly predicted 68% of the subjects' membership of a MB group. This partially confirms our first hypothesis that when presented with foods that could be chewed in different ways participants will use a chewing sequence and jaw movements that correlate with their MB as measured by the JBMB typing tool. The way consumers chew their food has an impact on their texture perception of that food. While there is a wide range of chewing behaviors between consumers, they can be grouped into broad categories to better target both product design and product testing by sensory panel. In this study, consumers who were grouped on their texture preference (MB group) had jaw movements, when chewing a range of foods, which

Learning about Carbohydrates

Science.gov (United States)

... Videos for Educators Search English Español Learning About Carbohydrates KidsHealth / For Kids / Learning About Carbohydrates Print en ... source of energy for the body. What Are Carbohydrates? There are two major types of carbohydrates (or ...

A mediation analysis of achievement motives, goals, learning strategies, and academic achievement.

Science.gov (United States)

Diseth, Age; Kobbeltvedt, Therese

2010-12-01

Previous research is inconclusive regarding antecedents and consequences of achievement goals, and there is a need for more research in order to examine the joint effects of different types of motives and learning strategies as predictors of academic achievement. To investigate the relationship between achievement motives, achievement goals, learning strategies (deep, surface, and strategic), and academic achievement in a hierarchical model. Participants were 229 undergraduate students (mean age: 21.2 years) of psychology and economics at the University of Bergen, Norway. Variables were measured by means of items from the Achievement Motives Scale (AMS), the Approaches and Study Skills Inventory for Students, and an achievement goal scale. Correlation analysis showed that academic achievement (examination grade) was positively correlated with performance-approach goal, mastery goal, and strategic learning strategies, and negatively correlated with performance-avoidance goal and surface learning strategy. A path analysis (structural equation model) showed that achievement goals were mediators between achievement motives and learning strategies, and that strategic learning strategies mediated the relationship between achievement goals and academic achievement. This study integrated previous findings from several studies and provided new evidence on the direct and indirect effects of different types of motives and learning strategies as predictors of academic achievement.

Measuring the Differences between Traditional Learning and Game-Based Learning Using Electroencephalography (EEG) Physiologically Based Methodology

Science.gov (United States)

Chen, Ching-Huei

2017-01-01

Students' cognitive states can reflect a learning experience that results in engagement in an activity. In this study, we used electroencephalography (EEG) physiologically based methodology to evaluate students' levels of attention and relaxation, as well as their learning performance within a traditional and game-based learning context. While no…

Measuring the learning effectiveness of Web-based teacher professional development in the hypothesis based learning method of teaching science

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Wilson, Penne L.

2007-12-01

This study was conducted as part of the five year evaluation of the Star Schools grant awarded to Oklahoma State University for the development on online teacher professional development in the Hypothesis Based Learning (HbL) method of science instruction. Participants in this research were five teachers who had completed the online workshop, submitted a lesson plan, and who allowed this researcher and other members of the University of New Mexico Evaluation Team into their classrooms to observe and to determine if the learning of the method from the online HbL workshop had translated into practice. These teachers worked in inner city, suburban, metropolitan, and rural communities in the U.S. Southwest. This study was conducted to determine if teachers learned the HbL method from the online HbL workshop, to examine the relationship of satisfaction to learning, and to determine the elements of the online workshop that led to teacher learning. To measure learning of HbL, three different assessment instruments were used: embedded assessments within the online HbL workshop that gave teachers a scenario and asked them to generate questions to facilitate the HbL process; the analysis of a lesson plan provided by teachers using a science concept that they wished to incorporate in their curriculum using an HbL lesson template provided at the HbL website; and, observations of teachers facilitating the HbL process conducted at three different times during the year that they began the HbL online workshop. To determine if teachers were satisfied with the learning environment, the online HbL workshop, and the product, HbL Method for Teaching Science, and to determine if teachers could identify the elements of the online workshop that led to learning, interviews with the participants were conducted. The research findings were presented in two parts: Part I is an analysis of data provided by the assessment instruments and a content analysis of the transcripts of the teacher

Assessment of Learning Strategies: Self-Report Questionnaire or Learning Task

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Kikas, Eve; Jõgi, Anna-Liisa

2016-01-01

Two types of assessment instruments were developed to assess middle school students' learning strategies, and their effectiveness in predicting various learning outcomes was examined. The participants were 565 middle school students. Three subscales (rehearsal, organization, elaboration) from the "Motivated Strategies for Learning…

Play the Blood Typing Game

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... Nobel's Life and Work Teachers' Questionnaire The Blood Typing Game What happens if you get a blood ... learn about human blood types! Play the Blood Typing Game 28 September 2017 The mission based game ...

Validation of an instrument to measure tutor performance in promoting self-directed learning by using confirmatory factor analysis

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Genoveva Amador Fierros

Full Text Available Objective.This work sought to validate and propose an instrument to measure the performance of tutors in promoting self-directed learning in students involved in processes of problem-based learning. Methods. Confirmatory factor analysis (CFA was applied to validate the instrument composed of 60 items and six factors (self-assessment of learning gaps within the United Nations specific context: self-assessment, reflexion, critical thinking, administration of information, group skills, using a sample of 207 students from a total of 279, which comprise the student population of the Faculty of Nursing at Universidad de Colima in Mexico. (2007. Results. The CFA results demonstrated that the instrument is acceptable to measure performance of tutors in promoting self-directed learning, given that all the indicators, variances, covariances, and thresholds are statistically significant. Conclusion. The instrument permits obtaining students' opinions on how much professors contribute for them to develop each of the 60 skills described in the scale. Lastly, the results could report if professors are placing more emphasis in some areas than in other areas they should address during the problem-based learning (PBL process, or if definitely their actions are removed from the premises of PBL, information that will be useful for school management in decision making on the direction of teaching as a whole.

Perceptions of Teaching Methods for Preclinical Oral Surgery: A Comparison with Learning Styles.

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Omar, Esam

2017-01-01

Dental extraction is a routine part of clinical dental practice. For this reason, understanding the way how students' extraction knowledge and skills development are important. To date, there is no accredited statement about the most effective method for the teaching of exodontia to dental students. Students have different abilities and preferences regarding how they learn and process information. This is defined as learning style. In this study, the effectiveness of active learning in the teaching of preclinical oral surgery was examined. The personality type of the groups involved in this study was determined, and the possible effect of personality type on learning style was investigated. This study was undertaken over five years from 2011 to 2015. The sample consisted of 115 students and eight staff members. Questionnaires were submitted by 68 students and all eight staff members involved. Three measures were used in the study: The Index of Learning Styles (Felder and Soloman, 1991), the Myers-Briggs Type Indicator (MBTI), and the styles of learning typology (Grasha and Hruska-Riechmann). Findings indicated that demonstration and minimal clinical exposure give students personal validation. Frequent feedback on their work is strongly indicated to build the cognitive, psychomotor, and interpersonal skills needed from preclinical oral surgery courses. Small group cooperative active learning in the form of demonstration and minimal clinical exposure that gives frequent feedback and students' personal validation on their work is strongly indicated to build the skills needed for preclinical oral surgery courses.

Deep Learning Policy Quantization

NARCIS (Netherlands)

van de Wolfshaar, Jos; Wiering, Marco; Schomaker, Lambertus

2018-01-01

We introduce a novel type of actor-critic approach for deep reinforcement learning which is based on learning vector quantization. We replace the softmax operator of the policy with a more general and more flexible operator that is similar to the robust soft learning vector quantization algorithm.

The Scientific Status of Learning Styles Theories

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Willingham, Daniel T.; Hughes, Elizabeth M.; Dobolyi, David G.

2015-01-01

Theories of learning styles suggest that individuals think and learn best in different ways. These are not differences of ability but rather preferences for processing certain types of information or for processing information in certain types of way. If accurate, learning styles theories could have important implications for instruction because…

Modeling Geomagnetic Variations using a Machine Learning Framework

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Cheung, C. M. M.; Handmer, C.; Kosar, B.; Gerules, G.; Poduval, B.; Mackintosh, G.; Munoz-Jaramillo, A.; Bobra, M.; Hernandez, T.; McGranaghan, R. M.

2017-12-01

We present a framework for data-driven modeling of Heliophysics time series data. The Solar Terrestrial Interaction Neural net Generator (STING) is an open source python module built on top of state-of-the-art statistical learning frameworks (traditional machine learning methods as well as deep learning). To showcase the capability of STING, we deploy it for the problem of predicting the temporal variation of geomagnetic fields. The data used includes solar wind measurements from the OMNI database and geomagnetic field data taken by magnetometers at US Geological Survey observatories. We examine the predictive capability of different machine learning techniques (recurrent neural networks, support vector machines) for a range of forecasting times (minutes to 12 hours). STING is designed to be extensible to other types of data. We show how STING can be used on large sets of data from different sensors/observatories and adapted to tackle other problems in Heliophysics.

Collaborative distance learning: Developing an online learning community

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Stoytcheva, Maria

2017-12-01

The method of collaborative distance learning has been applied for years in a number of distance learning courses, but they are relatively few in foreign language learning. The context of this research is a hybrid distance learning of French for specific purposes, delivered through the platform UNIV-RcT (Strasbourg University), which combines collaborative activities for the realization of a common problem-solving task online. The study focuses on a couple of aspects: on-line interactions carried out in small, tutored groups and the process of community building online. By analyzing the learner's perceptions of community and collaborative learning, we have tried to understand the process of building and maintenance of online learning community and to see to what extent the collaborative distance learning contribute to the development of the competence expectations at the end of the course. The analysis of the results allows us to distinguish the advantages and limitations of this type of e-learning and thus evaluate their pertinence.

Validation of an efficiency calibration procedure for a coaxial n-type and a well-type HPGe detector used for the measurement of environmental radioactivity

Energy Technology Data Exchange (ETDEWEB)

Morera-Gómez, Yasser, E-mail: ymore24@gamail.com [Centro de Estudios Ambientales de Cienfuegos, AP 5. Ciudad Nuclear, CP 59350 Cienfuegos (Cuba); Departamento de Química y Edafología, Universidad de Navarra, Irunlarrea No 1, Pamplona 31009, Navarra (Spain); Cartas-Aguila, Héctor A.; Alonso-Hernández, Carlos M.; Nuñez-Duartes, Carlos [Centro de Estudios Ambientales de Cienfuegos, AP 5. Ciudad Nuclear, CP 59350 Cienfuegos (Cuba)

2016-05-11

To obtain reliable measurements of the environmental radionuclide activity using HPGe (High Purity Germanium) detectors, the knowledge of the absolute peak efficiency is required. This work presents a practical procedure for efficiency calibration of a coaxial n-type and a well-type HPGe detector using experimental and Monte Carlo simulations methods. The method was performed in an energy range from 40 to 1460 keV and it can be used for both, solid and liquid environmental samples. The calibration was initially verified measuring several reference materials provided by the IAEA (International Atomic Energy Agency). Finally, through the participation in two Proficiency Tests organized by IAEA for the members of the ALMERA network (Analytical Laboratories for the Measurement of Environmental Radioactivity) the validity of the developed procedure was confirmed. The validation also showed that measurement of {sup 226}Ra should be conducted using coaxial n-type HPGe detector in order to minimize the true coincidence summing effect. - Highlights: • An efficiency calibration for a coaxial and a well-type HPGe detector was performed. • The calibration was made using experimental and Monte Carlo simulations methods. • The procedure was verified measuring several reference materials provided by IAEA. • Calibrations were validated through the participation in 2 ALMERA Proficiency Tests.

Development of Type 2 Diabetes Mellitus Phenotyping Framework Using Expert Knowledge and Machine Learning Approach.

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Kagawa, Rina; Kawazoe, Yoshimasa; Ida, Yusuke; Shinohara, Emiko; Tanaka, Katsuya; Imai, Takeshi; Ohe, Kazuhiko

2017-07-01

Phenotyping is an automated technique that can be used to distinguish patients based on electronic health records. To improve the quality of medical care and advance type 2 diabetes mellitus (T2DM) research, the demand for T2DM phenotyping has been increasing. Some existing phenotyping algorithms are not sufficiently accurate for screening or identifying clinical research subjects. We propose a practical phenotyping framework using both expert knowledge and a machine learning approach to develop 2 phenotyping algorithms: one is for screening; the other is for identifying research subjects. We employ expert knowledge as rules to exclude obvious control patients and machine learning to increase accuracy for complicated patients. We developed phenotyping algorithms on the basis of our framework and performed binary classification to determine whether a patient has T2DM. To facilitate development of practical phenotyping algorithms, this study introduces new evaluation metrics: area under the precision-sensitivity curve (AUPS) with a high sensitivity and AUPS with a high positive predictive value. The proposed phenotyping algorithms based on our framework show higher performance than baseline algorithms. Our proposed framework can be used to develop 2 types of phenotyping algorithms depending on the tuning approach: one for screening, the other for identifying research subjects. We develop a novel phenotyping framework that can be easily implemented on the basis of proper evaluation metrics, which are in accordance with users' objectives. The phenotyping algorithms based on our framework are useful for extraction of T2DM patients in retrospective studies.

Rule learning in autism: the role of reward type and social context.

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Jones, E J H; Webb, S J; Estes, A; Dawson, G

2013-01-01

Learning abstract rules is central to social and cognitive development. Across two experiments, we used Delayed Non-Matching to Sample tasks to characterize the longitudinal development and nature of rule-learning impairments in children with Autism Spectrum Disorder (ASD). Results showed that children with ASD consistently experienced more difficulty learning an abstract rule from a discrete physical reward than children with DD. Rule learning was facilitated by the provision of more concrete reinforcement, suggesting an underlying difficulty in forming conceptual connections. Learning abstract rules about social stimuli remained challenging through late childhood, indicating the importance of testing executive functions in both social and non-social contexts.

Improve 3D laser scanner measurements accuracy using a FFBP neural network with Widrow-Hoff weight/bias learning function

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Rodríguez-Quiñonez, J. C.; Sergiyenko, O.; Hernandez-Balbuena, D.; Rivas-Lopez, M.; Flores-Fuentes, W.; Basaca-Preciado, L. C.

2014-12-01

Many laser scanners depend on their mechanical construction to guarantee their measurements accuracy, however, the current computational technologies allow us to improve these measurements by mathematical methods implemented in neural networks. In this article we are going to introduce the current laser scanner technologies, give a description of our 3D laser scanner and adjust their measurement error by a previously trained feed forward back propagation (FFBP) neural network with a Widrow-Hoff weight/bias learning function. A comparative analysis with other learning functions such as the Kohonen algorithm and gradient descendent with momentum algorithm is presented. Finally, computational simulations are conducted to verify the performance and method uncertainty in the proposed system.

Rule Learning in Autism: The Role of Reward Type and Social Context

OpenAIRE

Jones, E. J. H.; Webb, S. J.; Estes, A.; Dawson, G.

2013-01-01

Learning abstract rules is central to social and cognitive development. Across two experiments, we used Delayed Non-Matching to Sample tasks to characterize the longitudinal development and nature of rule-learning impairments in children with Autism Spectrum Disorder (ASD). Results showed that children with ASD consistently experienced more difficulty learning an abstract rule from a discrete physical reward than children with DD. Rule learning was facilitated by the provision of more concret...

Measuring Self-Directed Learning: A Diagnostic Tool for Adult Learners

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Khiat, Henry

2015-01-01

Self-directed learning is an important form of adult learning (Caffarella, 1993; Knowles, 1975; Knowles, Holton & Swanson, 2005; Merriam, 2001; Merriam & Caffarella, 1999). The strategies of self-directed learning allow adult learners to cope better with their studies while fulfilling family, work and other commitments. This study…

Machine learning algorithms to classify spinal muscular atrophy subtypes.

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Srivastava, Tuhin; Darras, Basil T; Wu, Jim S; Rutkove, Seward B

2012-07-24

The development of better biomarkers for disease assessment remains an ongoing effort across the spectrum of neurologic illnesses. One approach for refining biomarkers is based on the concept of machine learning, in which individual, unrelated biomarkers are simultaneously evaluated. In this cross-sectional study, we assess the possibility of using machine learning, incorporating both quantitative muscle ultrasound (QMU) and electrical impedance myography (EIM) data, for classification of muscles affected by spinal muscular atrophy (SMA). Twenty-one normal subjects, 15 subjects with SMA type 2, and 10 subjects with SMA type 3 underwent EIM and QMU measurements of unilateral biceps, wrist extensors, quadriceps, and tibialis anterior. EIM and QMU parameters were then applied in combination using a support vector machine (SVM), a type of machine learning, in an attempt to accurately categorize 165 individual muscles. For all 3 classification problems, normal vs SMA, normal vs SMA 3, and SMA 2 vs SMA 3, use of SVM provided the greatest accuracy in discrimination, surpassing both EIM and QMU individually. For example, the accuracy, as measured by the receiver operating characteristic area under the curve (ROC-AUC) for the SVM discriminating SMA 2 muscles from SMA 3 muscles was 0.928; in comparison, the ROC-AUCs for EIM and QMU parameters alone were only 0.877 (p < 0.05) and 0.627 (p < 0.05), respectively. Combining EIM and QMU data categorizes individual SMA-affected muscles with very high accuracy. Further investigation of this approach for classifying and for following the progression of neuromuscular illness is warranted.

A Comparative Study on the Relationship Between Learning Motivations and Outcomes of College Students in Taiwan and Shenzhen Region of Mainland China: Learning Modes as Mediators

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Sophia Shi-Huei Ho

2016-06-01

Full Text Available Previous studies in the relationship of learning motivation and outcome were mostly conducted on research samples in Asia from the perspective of oriental culture; however, under the same cultural background, different social systems might lead to different teaching and learning outcomes. Therefore, this study examines the learning motivation patterns of Taiwan and Mainland China college students from the perspectives on psychological motivation, and investigates the relationship between learning modes and learning outcomes. Adopting judgmental sampling, a total of 651 valid questionnaires were collected from cross-strait business college sophomore, junior, and senior students. The measurement scales were developed by Li et al. (2007, Nasir et al. (2009, Philip et al. (2008, Pike et al. (2011, White et al. (2008, and all measures were 5-point Likert-type scales. The path relationship of the two groups was examined through structural equation modeling (SEM using AMOS. The results showed that exploitative learning was perceived as more effective by the college students in Taiwan as compared to those in Mainland China. In terms of academic identity, the contrary is the case. However, in path analysis, Taiwanese students were superior to Chinese students in regard to the positive influence of role identity on exploitative and explorative learning and the positive influence of exploitative learning on cognitive and non-cognitive gains.

Measurement of temperament and character in mood disorders: a model of fundamental states as personality types.

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Cloninger, C R; Bayon, C; Svrakic, D M

1998-10-01

Personality assessment may allow reliable measurement of risk of mood disorders. A group of adults (804) representative of the general population were assessed by questionnaire. Personality types were measured by the Temperament and Character Inventory (TCI). Specific TCI configurations define personality types that can be described as hyperthymic, cyclothymic, irritable, and depressive. Each type had a unique profile of emotions, suicide attempts, and hospitalization. TCI traits are associated with mood disorders. Different ways of measuring Kraepelinean subtypes may disagree. Whether differences in personality cause psychopathology, or vice versa, remains uncertain. Personality profiles help in assessing suicidality and planning treatment.

A Review of Empirical Studies Investigating Antecedents and Consequences of Collective Learning Behaviors in Hospitals