Open Source for Knowledge and Learning Management: Strategies beyond Tools

Science.gov (United States)

Lytras, Miltiadis, Ed.; Naeve, Ambjorn, Ed.

2007-01-01

In the last years, knowledge and learning management have made a significant impact on the IT research community. "Open Source for Knowledge and Learning Management: Strategies Beyond Tools" presents learning and knowledge management from a point of view where the basic tools and applications are provided by open source technologies.…

ASSESSMENT OF PERFORMANCES OF VARIOUS MACHINE LEARNING ALGORITHMS DURING AUTOMATED EVALUATION OF DESCRIPTIVE ANSWERS

Directory of Open Access Journals (Sweden)

C. Sunil Kumar

2014-07-01

Full Text Available Automation of descriptive answers evaluation is the need of the hour because of the huge increase in the number of students enrolling each year in educational institutions and the limited staff available to spare their time for evaluations. In this paper, we use a machine learning workbench called LightSIDE to accomplish auto evaluation and scoring of descriptive answers. We attempted to identify the best supervised machine learning algorithm given a limited training set sample size scenario. We evaluated performances of Bayes, SVM, Logistic Regression, Random forests, Decision stump and Decision trees algorithms. We confirmed SVM as best performing algorithm based on quantitative measurements across accuracy, kappa, training speed and prediction accuracy with supplied test set.

CONTRIBUTIONS FOR DEVELOPING OF A COMPUTER AIDED LEARNING ENVIRONMENT OF DESCRIPTIVE GEOMETRY

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Antonescu Ion

2009-07-01

Full Text Available The paper presents the authors’ contributions for developing a computer code for teaching of descriptive geometry using the computer aided learning techniques. The program was implemented using the programming interface and the 3D modeling capabilities of the AutoCAD system.

Improved object optimal synthetic description, modeling, learning, and discrimination by GEOGINE computational kernel

Science.gov (United States)

Fiorini, Rodolfo A.; Dacquino, Gianfranco

2005-03-01

GEOGINE (GEOmetrical enGINE), a state-of-the-art OMG (Ontological Model Generator) based on n-D Tensor Invariants for n-Dimensional shape/texture optimal synthetic representation, description and learning, was presented in previous conferences elsewhere recently. Improved computational algorithms based on the computational invariant theory of finite groups in Euclidean space and a demo application is presented. Progressive model automatic generation is discussed. GEOGINE can be used as an efficient computational kernel for fast reliable application development and delivery in advanced biomedical engineering, biometric, intelligent computing, target recognition, content image retrieval, data mining technological areas mainly. Ontology can be regarded as a logical theory accounting for the intended meaning of a formal dictionary, i.e., its ontological commitment to a particular conceptualization of the world object. According to this approach, "n-D Tensor Calculus" can be considered a "Formal Language" to reliably compute optimized "n-Dimensional Tensor Invariants" as specific object "invariant parameter and attribute words" for automated n-Dimensional shape/texture optimal synthetic object description by incremental model generation. The class of those "invariant parameter and attribute words" can be thought as a specific "Formal Vocabulary" learned from a "Generalized Formal Dictionary" of the "Computational Tensor Invariants" language. Even object chromatic attributes can be effectively and reliably computed from object geometric parameters into robust colour shape invariant characteristics. As a matter of fact, any highly sophisticated application needing effective, robust object geometric/colour invariant attribute capture and parameterization features, for reliable automated object learning and discrimination can deeply benefit from GEOGINE progressive automated model generation computational kernel performance. Main operational advantages over previous

Application of Resource Description Framework to Personalise Learning: Systematic Review and Methodology

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Jevsikova, Tatjana; Berniukevicius, Andrius; Kurilovas, Eugenijus

2017-01-01

The paper is aimed to present a methodology of learning personalisation based on applying Resource Description Framework (RDF) standard model. Research results are two-fold: first, the results of systematic literature review on Linked Data, RDF "subject-predicate-object" triples, and Web Ontology Language (OWL) application in education…

A description of a wide beam saddle field ion source used for nuclear target applications

International Nuclear Information System (INIS)

Greene, J.P.; Schiel, S.L.; Thomas, G.E.

1997-01-01

A description is given of a new, wide beam saddle field sputter source used for the preparation of targets applied in nuclear physics experiments. The ion source characteristics are presented and compared with published results obtained with other sources. Deposition rates acquired utilizing this source are given for a variety of target materials encountered in nuclear target production. New applications involving target thinning and ion milling are discussed

Planetariums as a Source of Outdoor Learning Environment

Science.gov (United States)

Seyma, Aksu; Umdu Topsakal, Ünsal

2017-01-01

The aim of this study is to study the effect of using planetariums as an outdoor learning environment regarding students' opinions. Therefore, descriptive qualitative research was used. The participants were from a school in Istanbul. Ten students, 4 male and 6 female, participated in a planetarium visit to a museum. The data of the study were…

Learning by playing: A cross-sectional descriptive study of nursing students' experiences of learning clinical reasoning.

Science.gov (United States)

Koivisto, Jaana-Maija; Multisilta, Jari; Niemi, Hannele; Katajisto, Jouko; Eriksson, Elina

2016-10-01

Clinical reasoning is viewed as a problem-solving activity; in games, players solve problems. To provide excellent patient care, nursing students must gain competence in clinical reasoning. Utilising gaming elements and virtual simulations may enhance learning of clinical reasoning. To investigate nursing students' experiences of learning clinical reasoning process by playing a 3D simulation game. Cross-sectional descriptive study. Thirteen gaming sessions at two universities of applied sciences in Finland. The prototype of the simulation game used in this study was single-player in format. The game mechanics were built around the clinical reasoning process. Nursing students from the surgical nursing course of autumn 2014 (N=166). Data were collected by means of an online questionnaire. In terms of the clinical reasoning process, students learned how to take action and collect information but were less successful in learning to establish goals for patient care or to evaluate the effectiveness of interventions. Learning of the different phases of clinical reasoning process was strongly positively correlated. The students described that they learned mainly to apply theoretical knowledge while playing. The results show that those who played digital games daily or occasionally felt that they learned clinical reasoning by playing the game more than those who did not play at all. Nursing students' experiences of learning the clinical reasoning process by playing a 3D simulation game showed that such games can be used successfully for learning. To ensure that students follow a systematic approach, the game mechanics need to be built around the clinical reasoning process. Copyright © 2016 Elsevier Ltd. All rights reserved.

ARLearn - Open source mobile application platform for learning

NARCIS (Netherlands)

Börner, Dirk; Ternier, Stefaan; Klemke, Roland; Schmitz, Birgit; Kalz, Marco; Tabuenca, Bernardo; Specht, Marcus

2013-01-01

Börner, D., Ternier, S., Klemke, R., Schmitz, B., Kalz, M., Tabuenca, B., & Specht, M. (2013). ARLearn - Open source mobile application platform for learning. In D. Hernández-Leo et al. (Eds.), Scaling up Learning for Sustained Impact. Proceedings of the 8th European Conference on Technology

Self-Concept in Student Learning and Motivation Truant : Descriptive-Correlational Studies

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Erlina Harahap

2017-08-01

Full Text Available This research is aimed describ the learning motivation and self-concept of students who truant. This study used a descriptive quantitative method. The research conducted by the students of SMAN 5 Padangsidimpuan in the period of 2015/2016 with the total of the population was 420 students. Amount of research sample was 36 students and had been chosen by using purposive sampling technique. An instrument employed in this study was a Likert-scaled questionnaire. Data were analyzed by using percentage technique and the relationship between the two variables was analyzed by using nonparametric statistic, that is Spearman’s Coefficient of Rank Correlation. Results of this research are just like the following: 1 participants’ level of achievement on self-concept of students who truant is about 69,8%, 2 participants’ level of achievement on learning motivation of students who truant is about 69,2%, and 3 correlation coefficient of self-concept and learning motivation of students who truant is about 0,581. Therefore, it can be concluded that students who truancy have very low self-concept and learning motivation, and there is a significant relationship between self-concept and learning motivation. The implication in guidance counseling services is to create a service program which can increase self-concept and be learning motivation of students who truant

Building Eclectic Personal Learning Landscapes with Open Source Tools

NARCIS (Netherlands)

Kalz, Marco

2008-01-01

Kalz, M. (2005). Building Eclectic Personal Learning Landscapes with Open Source Tools. In F. de Vries, G. Attwell, R. Elferink & A. Tödt (Eds.), Open Source for Education in Europe. Research & Practice (= Proceedings of the Open Source for Education in Europe Conference) (pp. 163-168). 2005,

Learning Management Systems and Comparison of Open Source Learning Management Systems and Proprietary Learning Management Systems

Directory of Open Access Journals (Sweden)

Yücel Yılmaz

2016-04-01

Full Text Available The concept of learning has been increasingly gaining importance for individuals, businesses and communities in the age of information. On the other hand, developments in information and communication technologies take effect in the field of learning activities. With these technologies, barriers of time and space against the learning activities largely disappear and these technologies make it easier to carry out these activities more effectively. There remain a lot of questions regarding selection of learning management system (LMS to be used for the management of e-learning processes by all organizations conducing educational practices including universities, companies, non-profit organizations, etc. The main questions are as follows: Shall we choose open source LMS or commercial LMS? Can the selected LMS meet existing needs and future potential needs for the organization? What are the possibilities of technical support in the management of LMS? What kind of problems may be experienced in the use of LMS and how can these problems be solved? How much effective can officials in the organization be in the management of LMS? In this study, primarily e-learning and the concept of LMS will be discussed, and in the next section, as for answers to these questions, open source LMSs and centrally developed LMSs will be examined and their advantages and disadvantages relative to each other will be discussed.

Building Eclectic Personal Learning Landscapes with Open Source Tools

OpenAIRE

Kalz, Marco

2008-01-01

Kalz, M. (2005). Building Eclectic Personal Learning Landscapes with Open Source Tools. In F. de Vries, G. Attwell, R. Elferink & A. Tödt (Eds.), Open Source for Education in Europe. Research & Practice (= Proceedings of the Open Source for Education in Europe Conference) (pp. 163-168). 2005, Heerlen, The Netherlands.

Multi-Source Multi-Target Dictionary Learning for Prediction of Cognitive Decline.

Science.gov (United States)

Zhang, Jie; Li, Qingyang; Caselli, Richard J; Thompson, Paul M; Ye, Jieping; Wang, Yalin

2017-06-01

Alzheimer's Disease (AD) is the most common type of dementia. Identifying correct biomarkers may determine pre-symptomatic AD subjects and enable early intervention. Recently, Multi-task sparse feature learning has been successfully applied to many computer vision and biomedical informatics researches. It aims to improve the generalization performance by exploiting the shared features among different tasks. However, most of the existing algorithms are formulated as a supervised learning scheme. Its drawback is with either insufficient feature numbers or missing label information. To address these challenges, we formulate an unsupervised framework for multi-task sparse feature learning based on a novel dictionary learning algorithm. To solve the unsupervised learning problem, we propose a two-stage Multi-Source Multi-Target Dictionary Learning (MMDL) algorithm. In stage 1, we propose a multi-source dictionary learning method to utilize the common and individual sparse features in different time slots. In stage 2, supported by a rigorous theoretical analysis, we develop a multi-task learning method to solve the missing label problem. Empirical studies on an N = 3970 longitudinal brain image data set, which involves 2 sources and 5 targets, demonstrate the improved prediction accuracy and speed efficiency of MMDL in comparison with other state-of-the-art algorithms.

Institutional and pedagogical criteria for productive open source learning environments

DEFF Research Database (Denmark)

Svendsen, Brian Møller; Ryberg, Thomas; Semey, Ian Peter

2004-01-01

In this article we present some institutional and pedagogical criteria for making an informed decision in relation to identifying and choosing a productive open source learning environment. We argue that three concepts (implementation, maintainability and further development) are important when...... considering the sustainability and cost efficiency of an open source system, and we outline a set of key points for evaluating an open source software in terms of cost of system adoption. Furthermore we identify a range of pedagogical concepts and criteria to emphasize the importance of considering...... the relation between the local pedagogical practice and the pedagogical design of the open source learning environment. This we illustrate through an analysis of an open source system and our own pedagogical practice at Aalborg University, Denmark (POPP)....

Teaching and Learning Mathematics from Primary Historical Sources

Science.gov (United States)

Barnett, Janet Heine; Lodder, Jerry; Pengelley, David

2016-01-01

Why would anyone think of teaching and learning mathematics directly from primary historical sources? We aim to answer this question while sharing our own experiences, and those of our students across several decades. We will first describe the evolution of our motivation for teaching with primary sources, and our current view of the advantages…

The Self-Taught Career Musician: Investigating Learning Sources and Experiences

Science.gov (United States)

Watson, Leah

2016-01-01

This article reports early findings from a qualitative study of 10 full-time musicians who are self-taught, to investigate their learning biographies. The aim is to identify, define and explore learning sources and experiences across the musician's learning biography. Conducted in Melbourne, Australia, the musicians were recruited through snowball…

Linking descriptive geology and quantitative machine learning through an ontology of lithological concepts

Science.gov (United States)

Klump, J. F.; Huber, R.; Robertson, J.; Cox, S. J. D.; Woodcock, R.

2014-12-01

Despite the recent explosion of quantitative geological data, geology remains a fundamentally qualitative science. Numerical data only constitute a certain part of data collection in the geosciences. In many cases, geological observations are compiled as text into reports and annotations on drill cores, thin sections or drawings of outcrops. The observations are classified into concepts such as lithology, stratigraphy, geological structure, etc. These descriptions are semantically rich and are generally supported by more quantitative observations using geochemical analyses, XRD, hyperspectral scanning, etc, but the goal is geological semantics. In practice it has been difficult to bring the different observations together due to differing perception or granularity of classification in human observation, or the partial observation of only some characteristics using quantitative sensors. In the past years many geological classification schemas have been transferred into ontologies and vocabularies, formalized using RDF and OWL, and published through SPARQL endpoints. Several lithological ontologies were compiled by stratigraphy.net and published through a SPARQL endpoint. This work is complemented by the development of a Python API to integrate this vocabulary into Python-based text mining applications. The applications for the lithological vocabulary and Python API are automated semantic tagging of geochemical data and descriptions of drill cores, machine learning of geochemical compositions that are diagnostic for lithological classifications, and text mining for lithological concepts in reports and geological literature. This combination of applications can be used to identify anomalies in databases, where composition and lithological classification do not match. It can also be used to identify lithological concepts in the literature and infer quantitative values. The resulting semantic tagging opens new possibilities for linking these diverse sources of data.

A Survey Of Top 10 Open Source Learning Management Systems

Directory of Open Access Journals (Sweden)

Mohamed R. Elabnody

2015-08-01

Full Text Available Open Source LMSs are fully flexible and customizable so they can be designed in line with your schoolorganizations brand image. Open Source LMSs can also be converted to social learning platforms. You can create an online community through your LMS. This paper describes the most important features in learning management systems LMS that are critical to compare and contrast depend on your system requirements. Also represents a multiple LMS providers that are designed to use in university environment.

Exploiting multiple sources of information in learning an artificial language: human data and modeling.

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Perruchet, Pierre; Tillmann, Barbara

2010-03-01

This study investigates the joint influences of three factors on the discovery of new word-like units in a continuous artificial speech stream: the statistical structure of the ongoing input, the initial word-likeness of parts of the speech flow, and the contextual information provided by the earlier emergence of other word-like units. Results of an experiment conducted with adult participants show that these sources of information have strong and interactive influences on word discovery. The authors then examine the ability of different models of word segmentation to account for these results. PARSER (Perruchet & Vinter, 1998) is compared to the view that word segmentation relies on the exploitation of transitional probabilities between successive syllables, and with the models based on the Minimum Description Length principle, such as INCDROP. The authors submit arguments suggesting that PARSER has the advantage of accounting for the whole pattern of data without ad-hoc modifications, while relying exclusively on general-purpose learning principles. This study strengthens the growing notion that nonspecific cognitive processes, mainly based on associative learning and memory principles, are able to account for a larger part of early language acquisition than previously assumed. Copyright © 2009 Cognitive Science Society, Inc.

Perspectives on Advanced Learning Technologies and Learning Networks and Future Aerospace Workforce Environments

Science.gov (United States)

Noor, Ahmed K. (Compiler)

2003-01-01

An overview of the advanced learning technologies is given in this presentation along with a brief description of their impact on future aerospace workforce development. The presentation is divided into five parts (see Figure 1). In the first part, a brief historical account of the evolution of learning technologies is given. The second part describes the current learning activities. The third part describes some of the future aerospace systems, as examples of high-tech engineering systems, and lists their enabling technologies. The fourth part focuses on future aerospace research, learning and design environments. The fifth part lists the objectives of the workshop and some of the sources of information on learning technologies and learning networks.

Thinking about online sources: Exploring students' epistemic cognition in internet-based chemistry learning

Science.gov (United States)

Dai, Ting

This dissertation investigated the relation between epistemic cognition---epistemic aims and source beliefs---and learning outcome in an Internet--based research context. Based on a framework of epistemic cognition (Chinn, Buckland, & Samarapungavan, 2011), a context--specific epistemic aims and source beliefs questionnaire (CEASBQ) was developed and administered to 354 students from college--level introductory chemistry courses. A series of multitrait--multimethod model comparisons provided evidence for construct convergent and discriminant validity for three epistemic aims--- true beliefs, justified beliefs, explanatory connection, which were all distinguished from, yet correlated with, mastery goals. Students' epistemic aims were specific to the chemistry topics in research. Multidimensional scaling results indicated that students' source evaluation was based on two dimensions--- professional expertise and first--hand knowledge, suggesting a multidimensional structure of source beliefs. Most importantly, online learning outcome was found to be significantly associated with two epistemic aims---justified beliefs and explanatory connection: The more students sought justifications in the online research, the lower they tended to score on the learning outcome measure, whereas the more students sought explanatory connections between information, the higher they scored on the outcome measure. There was a significant but small positive association between source beliefs and learning outcome. The influences of epistemic aims and source beliefs on learning outcome were found to be above and beyond the effects of a number of covariates, including prior knowledge and perceived ability with online sources.

Analytical description of photon beam phase spaces in inverse Compton scattering sources

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C. Curatolo

2017-08-01

Full Text Available We revisit the description of inverse Compton scattering sources and the photon beams generated therein, emphasizing the behavior of their phase space density distributions and how they depend upon those of the two colliding beams of electrons and photons. The main objective is to provide practical formulas for bandwidth, spectral density, brilliance, which are valid in general for any value of the recoil factor, i.e. both in the Thomson regime of negligible electron recoil, and in the deep Compton recoil dominated region, which is of interest for gamma-gamma colliders and Compton sources for the production of multi-GeV photon beams. We adopt a description based on the center of mass reference system of the electron-photon collision, in order to underline the role of the electron recoil and how it controls the relativistic Doppler/boost effect in various regimes. Using the center of mass reference frame greatly simplifies the treatment, allowing us to derive simple formulas expressed in terms of rms momenta of the two colliding beams (emittance, energy spread, etc. and the collimation angle in the laboratory system. Comparisons with Monte Carlo simulations of inverse Compton scattering in various scenarios are presented, showing very good agreement with the analytical formulas: in particular we find that the bandwidth dependence on the electron beam emittance, of paramount importance in Thomson regime, as it limits the amount of focusing imparted to the electron beam, becomes much less sensitive in deep Compton regime, allowing a stronger focusing of the electron beam to enhance luminosity without loss of mono-chromaticity. A similar effect occurs concerning the bandwidth dependence on the frequency spread of the incident photons: in deep recoil regime the bandwidth comes out to be much less dependent on the frequency spread. The set of formulas here derived are very helpful in designing inverse Compton sources in diverse regimes, giving a

Lessons learned from accidents investigations

Energy Technology Data Exchange (ETDEWEB)

Zuniga-Bello, P. [Consejo Nacional de Ciencia y Tecnologia (CONACYT), Mexico City (Mexico); Croft, J. [National Radiological Protection Board (United Kingdom); Glenn, J

1997-12-31

Accidents from three main practices: medical applications, industrial radiography and industrial irradiators are used to illustrate some common causes of accidents and the main lessons to be learned. A brief description of some of these accidents is given. Lessons learned from the described accidents are approached by subjects covering: safety culture, quality assurance, human factors, good engineering practice, defence in depth, security of sources, safety assessment and monitoring and verification compliance. (author)

Lessons learned from accident investigations

International Nuclear Information System (INIS)

Zuniga-Bello, P.; Croft, J.R.; Glenn, J.

1998-01-01

Accidents in three main practices - medical applications, industrial radiography and industrial irradiators - are used to illustrate some common causes of accidents and the main lessons to be learned from them. A brief description of some of these accidents is given. Lessons learned from the accidents described are approached bearing in mind: safety culture, quality assurance, human factors, good engineering practice, defence in depth, security of sources, safety assessment and monitoring and verification compliance. (author)

Public health genetic counselors: activities, skills, and sources of learning.

Science.gov (United States)

McWalter, Kirsty M; Sdano, Mallory R; Dave, Gaurav; Powell, Karen P; Callanan, Nancy

2015-06-01

Specialization within genetic counseling is apparent, with 29 primary specialties listed in the National Society of Genetic Counselors' 2012 Professional Status Survey (PSS). PSS results show a steady proportion of genetic counselors primarily involved in public health, yet do not identify all those performing public health activities. Little is known about the skills needed to perform activities outside of "traditional" genetic counselor roles and the expertise needed to execute those skills. This study aimed to identify genetic counselors engaging in public health activities, the skills used, and the most influential sources of learning for those skills. Participants (N = 155) reported involvement in several public health categories: (a) Education of Public and/or Health Care Providers (n = 80, 52 %), (b) Population-Based Screening Programs (n = 70, 45 %), (c) Lobbying/Public Policy (n = 62, 40 %), (d) Public Health Related Research (n = 47, 30 %), and (e) State Chronic Disease Programs (n = 12, 8 %). Regardless of category, "on the job" was the most common primary source of learning. Genetic counseling training program was the most common secondary source of learning. Results indicate that the number of genetic counselors performing public health activities is likely higher than PSS reports, and that those who may not consider themselves "public health genetic counselors" do participate in public health activities. Genetic counselors learn a diverse skill set in their training programs; some skills are directly applicable to public health genetics, while other public health skills require additional training and/or knowledge.

A descriptive study of medical educators' views of problem-based learning

Directory of Open Access Journals (Sweden)

Dennick Reg

2009-11-01

Full Text Available Abstract Background There is a growing amount of literature on the benefits and drawbacks of Problem-Based Learning (PBL compared to conventional curricula. However, it seems that PBL research studies do not provide information rigorously and formally that can contribute to making evidence-based medical education decisions. The authors performed an investigation aimed at medical education scholars around the question, "What are the views of medical educators concerning the PBL approach?" Methods After framing the question, the method of data collection relied on asking medical educators to report their views on PBL. Two methods were used for collecting data: the questionnaire survey and an online discussion forum. Results The descriptive analysis of the study showed that many participants value the PBL approach in the practice and training of doctors. However, some participants hold contrasting views upon the importance of the PBL approach in basic medical education. For example, more than a third of participants (38.5% had a neutral stance on PBL as a student-oriented educational approach. The same proportion of participants also had a neutral view of the efficiency of traditional learning compared to a PBL tutorial. The open-ended question explored the importance of faculty development in PBL. A few participants had negative perceptions of the epistemological assumptions of PBL. Two themes emerged from the analysis of the forum repliers: the importance of the faculty role and self-managed education. Conclusion Whilst many participants valued the importance of the PBL approach in the practice and training of doctors and agreed with most of the conventional descriptions of PBL, some participants held contrasting views on the importance of the PBL approach in undergraduate medical education. However there was a strong view concerning the importance of facilitator training. More research is needed to understand the process of PBL better.

CopperCore, an Open Source IMS Learning Design Engine

NARCIS (Netherlands)

Vogten, Hubert

2004-01-01

The presentation gives an overview of the approach of the development programme of the OTEC department towards the development of Open Source. The CopperCore IMS Learning Design engine is described as an example of this approach.

Source of learning basic clinical skills by medical interns Tehran University of Medical Sciences

Directory of Open Access Journals (Sweden)

Meshkani Z

2004-07-01

Full Text Available Background: Effective clinical teaching is a major objective in general practitioner’s education at medical schools. Purpose: To identify the sources of clinical skills learning that medical student experience Methods: In this cross sectional study, interns of Tehran medical university who spent at least 12 months of their internship answered a questionnaire on the sources of clinical skills training. Chi2 test was used to examine the association of source of learning and students,’ specification such as sex, score of pre –internship exam, and marital status. Results: All 250 interns who were eligible participated. Over all 46.60% interns learned their clinical skills from residents or clinical teachers, 29.61% observed others performing the procedures, 16.25 learned the skills from hospital staff or nurses, 7.54% practiced their knowledge when confronted to an emergency situation Conclusion: Our results warrant a more attentive approach to clinical skills (specially procedural skills training Key words: LEARNING RESOURCES

Open-Source Learning Management Systems: A Predictive Model for Higher Education

Science.gov (United States)

van Rooij, S. Williams

2012-01-01

The present study investigated the role of pedagogical, technical, and institutional profile factors in an institution of higher education's decision to select an open-source learning management system (LMS). Drawing on the results of previous research that measured patterns of deployment of open-source software (OSS) in US higher education and…

Neuronal integration of dynamic sources: Bayesian learning and Bayesian inference.

Science.gov (United States)

Siegelmann, Hava T; Holzman, Lars E

2010-09-01

One of the brain's most basic functions is integrating sensory data from diverse sources. This ability causes us to question whether the neural system is computationally capable of intelligently integrating data, not only when sources have known, fixed relative dependencies but also when it must determine such relative weightings based on dynamic conditions, and then use these learned weightings to accurately infer information about the world. We suggest that the brain is, in fact, fully capable of computing this parallel task in a single network and describe a neural inspired circuit with this property. Our implementation suggests the possibility that evidence learning requires a more complex organization of the network than was previously assumed, where neurons have different specialties, whose emergence brings the desired adaptivity seen in human online inference.

Students’ Perceptions About Learning Environment of a Distance Course Based on Technology Acceptance Model: A Descriptive Study

Directory of Open Access Journals (Sweden)

Erman UZUN

2013-03-01

Full Text Available Technology Acceptance Model (TAM is a measure to assess the underlying reasons about the use of a technology. In this study an extended version of TAM were used. This extended version composed of three factors. These are “perceived motivation towards learning environment”, “perceived usefulness” and “perceived ease of use”. In this study, the learning environment of a distance course was investigated to see students’ perceptions. This distance course was delivered from one university to the other university via video-conferencing with ITL Learning Gateway content management system during the whole semester. The participants were the 32 first year vocational higher education institution students. The descriptive findings revealed that each factor of TAM perceived by students as having moderate advantages. It is believed that the underlying reason of this situation was based on the students’ low computer competency and e-learning experiences.

A meta-analytic review of two modes of learning and the description-experience gap.

Science.gov (United States)

Wulff, Dirk U; Mergenthaler-Canseco, Max; Hertwig, Ralph

2018-02-01

People can learn about the probabilistic consequences of their actions in two ways: One is by consulting descriptions of an action's consequences and probabilities (e.g., reading up on a medication's side effects). The other is by personally experiencing the probabilistic consequences of an action (e.g., beta testing software). In principle, people taking each route can reach analogous states of knowledge and consequently make analogous decisions. In the last dozen years, however, research has demonstrated systematic discrepancies between description- and experienced-based choices. This description-experience gap has been attributed to factors including reliance on a small set of experience, the impact of recency, and different weighting of probability information in the two decision types. In this meta-analysis focusing on studies using the sampling paradigm of decisions from experience, we evaluated these and other determinants of the decision-experience gap by reference to more than 70,000 choices made by more than 6,000 participants. We found, first, a robust description-experience gap but also a key moderator, namely, problem structure. Second, the largest determinant of the gap was reliance on small samples and the associated sampling error: free to terminate search, individuals explored too little to experience all possible outcomes. Third, the gap persisted when sampling error was basically eliminated, suggesting other determinants. Fourth, the occurrence of recency was contingent on decision makers' autonomy to terminate search, consistent with the notion of optional stopping. Finally, we found indications of different probability weighting in decisions from experience versus decisions from description when the problem structure involved a risky and a safe option. (PsycINFO Database Record (c) 2018 APA, all rights reserved).

Open Source Parallel Image Analysis and Machine Learning Pipeline, Phase I

Data.gov (United States)

National Aeronautics and Space Administration — Continuum Analytics proposes a Python-based open-source data analysis machine learning pipeline toolkit for satellite data processing, weather and climate data...

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

Science.gov (United States)

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

2016-01-01

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

Proposed learning strategies of medical students in a clinical rotation in obstetrics and gynecology: a descriptive study.

Science.gov (United States)

Deane, Richard P; Murphy, Deirdre J

2016-01-01

Medical students face many challenges when learning within clinical environments. How students plan to use their time and engage with learning opportunities is therefore critical, as it may be possible to highlight strategies that optimize the learning experience at an early stage in the rotation. The aim of the study was to describe the learning drivers and proposed learning strategies of medical students for a clinical rotation in obstetrics and gynecology. A descriptive study of personal learning plans completed by students at the start of their clinical rotation in obstetrics and gynecology was undertaken. Data relating to students' learning strategies were obtained from the personal learning plans completed by students. Quantitative and qualitative analyses were used. The desire to obtain a good examination result was the most significant reason why the rotation was important to students (n=67/71, 94%). Students struggled to create a specific and practical learning outcome relevant to their career interest. Target scores of students were significantly higher than their reported typical scores (Plearning resource during the rotation. Bedside tutorials were rated as likely to be the most useful learning activity and small group learning activities were rated as likely to be more useful than lectures. Most students intended to study the course material linked to their clinical program rather than the classroom-based tutorial program. The main learning driver for medical students was academic achievement, and the proposed learning strategy favored by medical students was linking their study plans to clinical activities. Medical educators should consider strategies that foster more intrinsic drivers of student learning and more student-oriented learning resources and activities.

Sources of Evidence-of-Learning: Learning and Assessment in the Era of Big Data

Science.gov (United States)

Cope, Bill; Kalantzis, Mary

2015-01-01

This article sets out to explore a shift in the sources of evidence-of-learning in the era of networked computing. One of the key features of recent developments has been popularly characterized as "big data". We begin by examining, in general terms, the frame of reference of contemporary debates on machine intelligence and the role of…

The use of a game-based learning platform to engage nursing students: A descriptive, qualitative study.

Science.gov (United States)

Gallegos, Cara; Tesar, Abigail J; Connor, Kelley; Martz, Kim

2017-11-01

Baccalaureate nursing programs require students to complete a research course, and faculty find it challenging to engage students. Educational gaming has recently gained attention as a technique to motivate students and enhance learning. The purpose of this pilot study was to describe undergraduate nursing students' reflections of their experiences with 3D Gamelab © , a game-based learning platform. A descriptive qualitative research design was used to elicit students' reflections of their experiences. Educational content such as handouts, videos, activities, and recommended resources for a required junior level nursing research course was organized into quests for use in 3D GameLab © . At the end of the semester, students were invited to give their feedback through a survey with open-ended questions. Thematic analysis resulted in the following components of the game-based learning experience: navigation, motivation, gaming concept, knowledge, technology, and target population. Although the overall response to 3D GameLab © in this course was negative, game-based learning does have the potential to engage students and enhance learning. To better understand how educational gaming could be used in nursing, further research should be conducted to determine the most motivating elements and the types of course content best delivered in this manner. Copyright © 2017 Elsevier Ltd. All rights reserved.

Learning to locate an odour source with a mobile robot

OpenAIRE

Duckett, T.; Axelsson, M.; Saffiotti, A.

2001-01-01

We address the problem of enabling a mobile robot to locate a stationary odour source using an electronic nose constructed from gas sensors. On the hardware side, we use a stereo nose architecture consisting of two parallel chambers, each containing an identical set of sensors. On the software side, we use a recurrent artificial neural network to learn the direction to a stationary source from a time series of sensor readings. This contrasts with previous approaches, that rely on the existenc...

Using ISO/IEC 12207 to analyze open source software development processes: an E-learning case study

OpenAIRE

Krishnamurthy, Aarthy; O'Connor, Rory

2013-01-01

peer-reviewed To date, there is no comprehensive study of open source software development process (OSSDP) carried out for open source (OS) e-learning systems. This paper presents the work which objectively analyzes the open source software development (OSSD) practices carried out by e-learning systems development communities and their results are represented using DEMO models. These results are compared using ISO/IEC 12207:2008. The comparison of DEMO models with ISO/IEC...

AUTOCLASSIFICATION OF THE VARIABLE 3XMM SOURCES USING THE RANDOM FOREST MACHINE LEARNING ALGORITHM

International Nuclear Information System (INIS)

Farrell, Sean A.; Murphy, Tara; Lo, Kitty K.

2015-01-01

In the current era of large surveys and massive data sets, autoclassification of astrophysical sources using intelligent algorithms is becoming increasingly important. In this paper we present the catalog of variable sources in the Third XMM-Newton Serendipitous Source catalog (3XMM) autoclassified using the Random Forest machine learning algorithm. We used a sample of manually classified variable sources from the second data release of the XMM-Newton catalogs (2XMMi-DR2) to train the classifier, obtaining an accuracy of ∼92%. We also evaluated the effectiveness of identifying spurious detections using a sample of spurious sources, achieving an accuracy of ∼95%. Manual investigation of a random sample of classified sources confirmed these accuracy levels and showed that the Random Forest machine learning algorithm is highly effective at automatically classifying 3XMM sources. Here we present the catalog of classified 3XMM variable sources. We also present three previously unidentified unusual sources that were flagged as outlier sources by the algorithm: a new candidate supergiant fast X-ray transient, a 400 s X-ray pulsar, and an eclipsing 5 hr binary system coincident with a known Cepheid.

Age-related schema reliance of judgments of learning in predicting source memory.

Science.gov (United States)

Shi, Liang-Zi; Tang, Wei-Hai; Liu, Xi-Ping

2012-01-01

Source memory refers to mental processes of encoding and making attributions to the origin of information. We investigated schematic effects on source attributions of younger and older adults for different schema-based types of items, and their schema-utilization of judgments of learning (JOLs) in estimating source memory. Participants studied statements presented by two speakers either as a doctor or a lawyer: those in the schema-after-encoding condition were informed their occupation only before retrieving, while those of schema-before-encoding were presented the schematic information prior to study. Immediately after learning every item, they made judgments of the likelihood for it to be correctly attributed to the original source later. In the test, they fulfilled a task of source attributing. The results showed a two-edged effect of schemas: schema reliance improved source memory for schema-consistent items while impaired that for schema-inconsistent items, even with schematic information presented prior to encoding. Compared with younger adults, older adults benefited more from schema-based compensatory mechanisms. Both younger and older adults could make JOLs based on before-encoding schematic information, and the schema-based JOLs were more accurate in predicting source memory than JOLs made without schema support. However, even in the schema-after-encoding condition, older adults were able to make metacognitive judgments as accurately as younger adults did, though they did have great impairments in source memory itself.

A Machine Learning Perspective on Predictive Coding with PAQ

OpenAIRE

Knoll, Byron; de Freitas, Nando

2011-01-01

PAQ8 is an open source lossless data compression algorithm that currently achieves the best compression rates on many benchmarks. This report presents a detailed description of PAQ8 from a statistical machine learning perspective. It shows that it is possible to understand some of the modules of PAQ8 and use this understanding to improve the method. However, intuitive statistical explanations of the behavior of other modules remain elusive. We hope the description in this report will be a sta...

Learning science as a potential new source of understanding and improvement for continuing education and continuing professional development.

Science.gov (United States)

Van Hoof, Thomas J; Doyle, Terrence J

2018-01-15

Learning science is an emerging interdisciplinary field that offers educators key insights about what happens in the brain when learning occurs. In addition to explanations about the learning process, which includes memory and involves different parts of the brain, learning science offers effective strategies to inform the planning and implementation of activities and programs in continuing education and continuing professional development. This article provides a brief description of learning, including the three key steps of encoding, consolidation and retrieval. The article also introduces four major learning-science strategies, known as distributed learning, retrieval practice, interleaving, and elaboration, which share the importance of considerable practice. Finally, the article describes how learning science aligns with the general findings from the most recent synthesis of systematic reviews about the effectiveness of continuing medical education.

Learning in an exotic social wasp while relocating a food source.

Science.gov (United States)

Lozada, Mariana; D'Adamo, Paola

2014-01-01

In this paper we review several studies on Vespulagermanica behavioral plasticity while relocating a food source in natural environments. This exotic social wasp, which has become established in many parts of the world, displays diverse cognitive abilities when foraging. Given its successful invasiveness worldwide, our initial hypothesis was that this species has great behavioral plasticity, which enables it to face environmental uncertainty. In our work we have analyzed foraging behavior associated with undepleted resources. Throughout several experiments, rapid learning was observed in this species; after few learning experiences they associate diverse contextual cues with a food source. However, by exploring wasp behavior when food suddenly disappeared, either because it had been removed or displaced, we found that they continued searching over a no longer rewarding site for a considerable period of time, suggesting that past experience can hinder new learning. Particularly surprising is the fact that when food was displaced nearby, wasps persisted in searching over the empty dish, ignoring the presence of food close by. We propose that this species could be a suitable model for studying cognitive plasticity in relation to environmental uncertainty. Copyright © 2014 Elsevier Ltd. All rights reserved.

Socio-cultural differences in the self-descriptions of two groups of Azerbaijanian students learning in the Russian and Azerbaijani languages

Directory of Open Access Journals (Sweden)

Dzherelievskaya M.A.

2017-12-01

Full Text Available Background: The dimension of individualism-collectivism is regarded as one of the most important cultural factors that influence a person’s self-consciousness, and help shape his/her sense of self as independent or interdependent. Moreover, studies support the conclusion that the salience of both tendencies may vary not only within a single national culture (depending on the place of residence, language environment, etc., but also on the level of the individual self (depending on the current situation. In our research we have assumed that the language environment (receiving education in one’s native or a foreign language acts as a socio-cultural factor affecting the self-concept of students of the same nationality–more specifically, the intensity of their individualistic and collectivistic characteristics. Objective: Finding socio-cultural differences in self-image between two groups of Azerbaijanian students (learning in Russian and Azerbaijanian, respectively. Design: The sample included one hundred students from Baku colleges and universities equally divided into two groups. Participants in the first group were studying in Azerbaijani while those in the second group were learning in Russian. We collected data in the form of open-ended self-descriptions. We examined these texts using contentanalysis procedures. Then we calculated correlations between certain defined characteristics for each group. Results: The self-descriptions produced by students learning in Azerbaijanian contained the following features: norm compliance as a significant factor in emotional wellbeing; self-criticism related to negative feelings and expectation of outside criticism; the prevalence of self-justification and bravado as basic forms of psychological defense, combined with the lack of self-enhancement; and focus on society and interpersonal relations affecting the respondents’ inner feelings. The second group’s (those learning in Russian self-descriptions

What Can Be Learned From a Laboratory Model of Conceptual Change? Descriptive Findings and Methodological Issues

Science.gov (United States)

Ohlsson, Stellan; Cosejo, David G.

2014-07-01

The problem of how people process novel and unexpected information— deep learning (Ohlsson in Deep learning: how the mind overrides experience. Cambridge University Press, New York, 2011)—is central to several fields of research, including creativity, belief revision, and conceptual change. Researchers have not converged on a single theory for conceptual change, nor has any one theory been decisively falsified. One contributing reason is the difficulty of collecting informative data in this field. We propose that the commonly used methodologies of historical analysis, classroom interventions, and developmental studies, although indispensible, can be supplemented with studies of laboratory models of conceptual change. We introduce re- categorization, an experimental paradigm in which learners transition from one definition of a categorical concept to another, incompatible definition of the same concept, a simple form of conceptual change. We describe a re-categorization experiment, report some descriptive findings pertaining to the effects of category complexity, the temporal unfolding of learning, and the nature of the learner's final knowledge state. We end with a brief discussion of ways in which the re-categorization model can be improved.

A Citation Analysis of Psychology Students' Use of Sources in Online Distance Learning

Science.gov (United States)

Weaver, Nancy Evans; Barnard, Estelle

2015-01-01

Reference lists from two assignments of psychology students in university-level online distance learning (ODL) were analyzed for number and type of sources and mark achieved. Most referenced were resources relevant to the assignment and provided by instructors. Use changed across assignments: Instructor sources were used more on the first…

Meta-learning in decision tree induction

CERN Document Server

Grąbczewski, Krzysztof

2014-01-01

The book focuses on different variants of decision tree induction but also describes  the meta-learning approach in general which is applicable to other types of machine learning algorithms. The book discusses different variants of decision tree induction and represents a useful source of information to readers wishing to review some of the techniques used in decision tree learning, as well as different ensemble methods that involve decision trees. It is shown that the knowledge of different components used within decision tree learning needs to be systematized to enable the system to generate and evaluate different variants of machine learning algorithms with the aim of identifying the top-most performers or potentially the best one. A unified view of decision tree learning enables to emulate different decision tree algorithms simply by setting certain parameters. As meta-learning requires running many different processes with the aim of obtaining performance results, a detailed description of the experimen...

Compact and Hybrid Feature Description for Building Extraction

Science.gov (United States)

Li, Z.; Liu, Y.; Hu, Y.; Li, P.; Ding, Y.

2017-05-01

Building extraction in aerial orthophotos is crucial for various applications. Currently, deep learning has been shown to be successful in addressing building extraction with high accuracy and high robustness. However, quite a large number of samples is required in training a classifier when using deep learning model. In order to realize accurate and semi-interactive labelling, the performance of feature description is crucial, as it has significant effect on the accuracy of classification. In this paper, we bring forward a compact and hybrid feature description method, in order to guarantees desirable classification accuracy of the corners on the building roof contours. The proposed descriptor is a hybrid description of an image patch constructed from 4 sets of binary intensity tests. Experiments show that benefiting from binary description and making full use of color channels, this descriptor is not only computationally frugal, but also accurate than SURF for building extraction.

Differentiating the Sources of Taiwanese High School Students' Multidimensional Science Learning Self-Efficacy: An Examination of Gender Differences

Science.gov (United States)

Lin, Tzung-Jin; Tsai, Chin-Chung

2017-04-01

The main purpose of this study was to investigate Taiwanese high school students' multi-dimensional self-efficacy and its sources in the domain of science. Two instruments, Sources of Science Learning Self-Efficacy (SSLSE) and Science Learning Self-Efficacy (SLSE), were used. By means of correlation and regression analyses, the relationships between students' science learning self-efficacy and the sources of their science learning self-efficacy were examined. The findings revealed that the four sources of the students' self-efficacy were found to play significant roles in their science learning self-efficacy. By and large, Mastery Experience and Vicarious Experience were found to be the two salient influencing sources. Several gender differences were also revealed. For example, the female students regarded Social Persuasion as the most influential source in the "Science Communication" dimension, while the male students considered Vicarious Experience as the main efficacy source. Physiological and Affective States, in particular, was a crucial antecedent of the female students' various SLSE dimensions, including "Conceptual Understanding," "Higher-Order Cognitive Skills," and "Science Communication." In addition, the variations between male and female students' responses to both instruments were also unraveled. The results suggest that, first, the male students perceived themselves as having more mastery experience, vicarious experience and social persuasion than their female counterparts. Meanwhile, the female students experienced more negative emotional arousal than the male students. Additionally, the male students were more self-efficacious than the females in the five SLSE dimensions of "Conceptual Understanding," "Higher-Order Cognitive Skills," "Practical Work," "Everyday Application," and "Science Communication."

Differentiating the Sources of Taiwanese High School Students' Multidimensional Science Learning Self-Efficacy: An Examination of Gender Differences

Science.gov (United States)

Lin, Tzung-Jin; Tsai, Chin-Chung

2018-06-01

The main purpose of this study was to investigate Taiwanese high school students' multi-dimensional self-efficacy and its sources in the domain of science. Two instruments, Sources of Science Learning Self-Efficacy (SSLSE) and Science Learning Self-Efficacy (SLSE), were used. By means of correlation and regression analyses, the relationships between students' science learning self-efficacy and the sources of their science learning self-efficacy were examined. The findings revealed that the four sources of the students' self-efficacy were found to play significant roles in their science learning self-efficacy. By and large, Mastery Experience and Vicarious Experience were found to be the two salient influencing sources. Several gender differences were also revealed. For example, the female students regarded Social Persuasion as the most influential source in the "Science Communication" dimension, while the male students considered Vicarious Experience as the main efficacy source. Physiological and Affective States, in particular, was a crucial antecedent of the female students' various SLSE dimensions, including "Conceptual Understanding," "Higher-Order Cognitive Skills," and "Science Communication." In addition, the variations between male and female students' responses to both instruments were also unraveled. The results suggest that, first, the male students perceived themselves as having more mastery experience, vicarious experience and social persuasion than their female counterparts. Meanwhile, the female students experienced more negative emotional arousal than the male students. Additionally, the male students were more self-efficacious than the females in the five SLSE dimensions of "Conceptual Understanding," "Higher-Order Cognitive Skills," "Practical Work," "Everyday Application," and "Science Communication."

Lessons learned from a pilot implementation of the UMLS information sources map.

Science.gov (United States)

Miller, P L; Frawley, S J; Wright, L; Roderer, N K; Powsner, S M

1995-01-01

OBJECTIVE: To explore the software design issues involved in implementing an operational information sources map (ISM) knowledge base (KB) and system of navigational tools that can help medical users access network-based information sources relevant to a biomedical question. DESIGN: A pilot biomedical ISM KB and associated client-server software (ISM/Explorer) have been developed to help students, clinicians, researchers, and staff access network-based information sources, as part of the National Library of Medicine's (NLM) multi-institutional Unified Medical Language System (UMLS) project. The system allows the user to specify and constrain a search for a biomedical question of interest. The system then returns a list of sources matching the search. At this point the user may request 1) further information about a source, 2) that the list of sources be regrouped by different criteria to allow the user to get a better overall appreciation of the set of retrieved sources as a whole, or 3) automatic connection to a source. RESULTS: The pilot system operates in client-server mode and currently contains coded information for 121 sources. It is in routine use from approximately 40 workstations at the Yale School of Medicine. The lessons that have been learned are that: 1) it is important to make access to different versions of a source as seamless as possible, 2) achieving seamless, cross-platform access to heterogeneous sources is difficult, 3) significant differences exist between coding the subject content of an electronic information resource versus that of an article or a book, 4) customizing the ISM to multiple institutions entails significant complexities, and 5) there are many design trade-offs between specifying searches and viewing sets of retrieved sources that must be taken into consideration. CONCLUSION: An ISM KB and navigational tools have been constructed. In the process, much has been learned about the complexities of development and evaluation in this

Lessons learned from a pilot implementation of the UMLS information sources map.

Science.gov (United States)

Miller, P L; Frawley, S J; Wright, L; Roderer, N K; Powsner, S M

1995-01-01

To explore the software design issues involved in implementing an operational information sources map (ISM) knowledge base (KB) and system of navigational tools that can help medical users access network-based information sources relevant to a biomedical question. A pilot biomedical ISM KB and associated client-server software (ISM/Explorer) have been developed to help students, clinicians, researchers, and staff access network-based information sources, as part of the National Library of Medicine's (NLM) multi-institutional Unified Medical Language System (UMLS) project. The system allows the user to specify and constrain a search for a biomedical question of interest. The system then returns a list of sources matching the search. At this point the user may request 1) further information about a source, 2) that the list of sources be regrouped by different criteria to allow the user to get a better overall appreciation of the set of retrieved sources as a whole, or 3) automatic connection to a source. The pilot system operates in client-server mode and currently contains coded information for 121 sources. It is in routine use from approximately 40 workstations at the Yale School of Medicine. The lessons that have been learned are that: 1) it is important to make access to different versions of a source as seamless as possible, 2) achieving seamless, cross-platform access to heterogeneous sources is difficult, 3) significant differences exist between coding the subject content of an electronic information resource versus that of an article or a book, 4) customizing the ISM to multiple institutions entails significant complexities, and 5) there are many design trade-offs between specifying searches and viewing sets of retrieved sources that must be taken into consideration. An ISM KB and navigational tools have been constructed. In the process, much has been learned about the complexities of development and evaluation in this new environment, which are different

L1-norm locally linear representation regularization multi-source adaptation learning.

Science.gov (United States)

Tao, Jianwen; Wen, Shiting; Hu, Wenjun

2015-09-01

In most supervised domain adaptation learning (DAL) tasks, one has access only to a small number of labeled examples from target domain. Therefore the success of supervised DAL in this "small sample" regime needs the effective utilization of the large amounts of unlabeled data to extract information that is useful for generalization. Toward this end, we here use the geometric intuition of manifold assumption to extend the established frameworks in existing model-based DAL methods for function learning by incorporating additional information about the target geometric structure of the marginal distribution. We would like to ensure that the solution is smooth with respect to both the ambient space and the target marginal distribution. In doing this, we propose a novel L1-norm locally linear representation regularization multi-source adaptation learning framework which exploits the geometry of the probability distribution, which has two techniques. Firstly, an L1-norm locally linear representation method is presented for robust graph construction by replacing the L2-norm reconstruction measure in LLE with L1-norm one, which is termed as L1-LLR for short. Secondly, considering the robust graph regularization, we replace traditional graph Laplacian regularization with our new L1-LLR graph Laplacian regularization and therefore construct new graph-based semi-supervised learning framework with multi-source adaptation constraint, which is coined as L1-MSAL method. Moreover, to deal with the nonlinear learning problem, we also generalize the L1-MSAL method by mapping the input data points from the input space to a high-dimensional reproducing kernel Hilbert space (RKHS) via a nonlinear mapping. Promising experimental results have been obtained on several real-world datasets such as face, visual video and object. Copyright © 2015 Elsevier Ltd. All rights reserved.

Technology Learning Activities. Design Brief--Measuring Inaccessible Distances. Alternative Energy Sources: Designing a Wind Powered Generator. Alternative Energy Sources: Designing a Hot Dog Heater Using Solar Energy.

Science.gov (United States)

Technology Teacher, 1991

1991-01-01

These three learning activities are on measuring accessible distances, designing a wind powered generator, and designing a hot dog heater using solar energy. Each activity includes description of context, objectives, list of materials and equipment, challenge to students, and evaluation questions. (SK)

AN ANALYSIS OF STUDENT‘S DESCRIPTIVE TEXT: SYSTEMIC FUNCTIONAL LINGUISTICS PERSPECTIVES

Directory of Open Access Journals (Sweden)

Rizka Maulina Wulandari

2017-12-01

Full Text Available In Indonesia where different languages co-exist, and where English is used as a foreign language, the learners‘ capabilities in writing toward English plays an important role in formulating effective learning method. This descriptive qualitative research aimed to investigate the student‘s errors in writing descriptive text in SFL perspectives. A secondary, yet important, objective of this research is also to design the appropriate pedagogical plans that can be used for junior high school students in Indonesian education based on the result of the research. The results indicated that the student has good control about the schematic structure of descriptive text although many of his idea still uses Indonesian context which make the reader can be confused in understanding his meaning. It can be concluded that there is intervention from L1, that is Indonesian language, while he wrote his descriptive text.. Hence, the study highlighted that cooperative learning could be an option as an appropriate learning method to solve the students problem on writing descriptive text.

Deaf Adolescents’ Learning of Cardiovascular Health Information: Sources and Access Challenges

Science.gov (United States)

Smith, Scott R.; Kushalnagar, Poorna; Hauser, Peter C.

2015-01-01

Deaf individuals have more cardiovascular risks than the general population that are believed to be related to their cardiovascular health knowledge disparities. This phenomenological study describes where 20 deaf sign language-using adolescents from Rochester, New York, many who possess many positive characteristics to support their health literacy, learn cardiovascular health information and their lived experiences accessing health information. The goal is to ultimately use this information to improve the delivery of cardiovascular health education to this population and other deaf adolescents at a higher risk for weak health literacy. Deaf bilingual researchers interviewed deaf adolescents, transcribed and coded the data, and described the findings. Five major sources of cardiovascular health information were identified including family, health education teachers, healthcare providers, printed materials, and informal sources. Despite possessing advantageous characteristics contributing to stronger health literacy, study participants described significant challenges with accessing health information from each source. They also demonstrated inconsistencies in their cardiovascular health knowledge, especially regarding heart attack, stroke, and cholesterol. These findings suggest a great need for additional public funding to research deaf adolescents’ informal health-related learning, develop accessible and culturally appropriate health surveys and health education programming, improve interpreter education, and disseminate information through social media. PMID:26048900

THE HST/ACS COMA CLUSTER SURVEY. II. DATA DESCRIPTION AND SOURCE CATALOGS

International Nuclear Information System (INIS)

Hammer, Derek; Verdoes Kleijn, Gijs; Den Brok, Mark; Peletier, Reynier F.; Hoyos, Carlos; Balcells, Marc; Aguerri, Alfonso L.; Ferguson, Henry C.; Goudfrooij, Paul; Carter, David; Guzman, Rafael; Smith, Russell J.; Lucey, John R.; Graham, Alister W.; Trentham, Neil; Peng, Eric; Puzia, Thomas H.; Jogee, Shardha; Batcheldor, Dan; Bridges, Terry J.

2010-01-01

The Coma cluster, Abell 1656, was the target of an HST-ACS Treasury program designed for deep imaging in the F475W and F814W passbands. Although our survey was interrupted by the ACS instrument failure in early 2007, the partially completed survey still covers ∼50% of the core high-density region in Coma. Observations were performed for 25 fields that extend over a wide range of cluster-centric radii (∼1.75 Mpc or 1 0 ) with a total coverage area of 274 arcmin 2 . The majority of the fields are located near the core region of Coma (19/25 pointings) with six additional fields in the southwest region of the cluster. In this paper, we present reprocessed images and SEXTRACTOR source catalogs for our survey fields, including a detailed description of the methodology used for object detection and photometry, the subtraction of bright galaxies to measure faint underlying objects, and the use of simulations to assess the photometric accuracy and completeness of our catalogs. We also use simulations to perform aperture corrections for the SEXTRACTOR Kron magnitudes based only on the measured source flux and its half-light radius. We have performed photometry for ∼73,000 unique objects; approximately one-half of our detections are brighter than the 10σ point-source detection limit at F814W = 25.8 mag (AB). The slight majority of objects (60%) are unresolved or only marginally resolved by ACS. We estimate that Coma members are 5%-10% of all source detections, which consist of a large population of unresolved compact sources (primarily globular clusters but also ultra-compact dwarf galaxies) and a wide variety of extended galaxies from a cD galaxy to dwarf low surface brightness galaxies. The red sequence of Coma member galaxies has a color-magnitude relation with a constant slope and dispersion over 9 mag (-21 F814W < -13). The initial data release for the HST-ACS Coma Treasury program was made available to the public in 2008 August. The images and catalogs described

The Status Quo of Ontology Learning from Unstructured Knowledge Sources for Knowledge Management

OpenAIRE

Scheuermann , Andreas; Obermann , Jens

2012-01-01

International audience; In the global race for competitive advantage Knowledge Management gains increasing importance for companies. The purposeful and systematic creation, maintenance, and transfer of unstructured knowledge sources demands for advanced Information Technology. Ontologies constitute a basic ingredient of Knowledge Management; thus, ontology learning from unstructured knowledge sources is of particular interest since it bears the potential to bring significant advantages for Kn...

Direction-of-Arrival Estimation for Coherent Sources via Sparse Bayesian Learning

Directory of Open Access Journals (Sweden)

Zhang-Meng Liu

2014-01-01

Full Text Available A spatial filtering-based relevance vector machine (RVM is proposed in this paper to separate coherent sources and estimate their directions-of-arrival (DOA, with the filter parameters and DOA estimates initialized and refined via sparse Bayesian learning. The RVM is used to exploit the spatial sparsity of the incident signals and gain improved adaptability to much demanding scenarios, such as low signal-to-noise ratio (SNR, limited snapshots, and spatially adjacent sources, and the spatial filters are introduced to enhance global convergence of the original RVM in the case of coherent sources. The proposed method adapts to arbitrary array geometry, and simulation results show that it surpasses the existing methods in DOA estimation performance.

The science and art of learning about cultures: Descriptions, explanations, and reflections In conversation with Sri Sri Ravi Shankar, Founder, Art of Living

Directory of Open Access Journals (Sweden)

Ritu Tripathi

2014-06-01

Full Text Available National cultural differences pose major obstacles to global business expansion. Managers, therefore, seek to learn more about cultures. Conventional managerial learning mostly draws from descriptive scientific models which have potential drawbacks such as unidimensionality, decontextualisation, and culture-level information. Explanatory models of cultural psychology can help overcome these limitations. Further, insights from a cross-culturally fluent authority provide reflective learnings. Toward this end, I engage in a conversation with Sri Sri Ravi Shankar, the founder of the Art of Living organization, on issues related to cultural identity in the global workplace in the Indian context.

Neural Monkey: An Open-source Tool for Sequence Learning

Directory of Open Access Journals (Sweden)

Helcl Jindřich

2017-04-01

Full Text Available In this paper, we announce the development of Neural Monkey – an open-source neural machine translation (NMT and general sequence-to-sequence learning system built over the TensorFlow machine learning library. The system provides a high-level API tailored for fast prototyping of complex architectures with multiple sequence encoders and decoders. Models’ overall architecture is specified in easy-to-read configuration files. The long-term goal of the Neural Monkey project is to create and maintain a growing collection of implementations of recently proposed components or methods, and therefore it is designed to be easily extensible. Trained models can be deployed either for batch data processing or as a web service. In the presented paper, we describe the design of the system and introduce the reader to running experiments using Neural Monkey.

Creating an Innovative Learning Organization

Science.gov (United States)

Salisbury, Mark

2010-01-01

This article describes how to create an innovative learning (iLearning) organization. It begins by discussing the life cycle of knowledge in an organization, followed by a description of the theoretical foundation for iLearning. Next, the article presents an example of iLearning, followed by a description of the distributed nature of work, the…

The HST/ACS Coma Cluster Survey. II. Data Description and Source Catalogs

Science.gov (United States)

Hammer, Derek; Kleijn, Gijs Verdoes; Hoyos, Carlos; Den Brok, Mark; Balcells, Marc; Ferguson, Henry C.; Goudfrooij, Paul; Carter, David; Guzman, Rafael; Peletier, Reynier F.;

Learning Theory Foundations of Simulation-Based Mastery Learning.

Science.gov (United States)

McGaghie, William C; Harris, Ilene B

2018-06-01

Simulation-based mastery learning (SBML), like all education interventions, has learning theory foundations. Recognition and comprehension of SBML learning theory foundations are essential for thoughtful education program development, research, and scholarship. We begin with a description of SBML followed by a section on the importance of learning theory foundations to shape and direct SBML education and research. We then discuss three principal learning theory conceptual frameworks that are associated with SBML-behavioral, constructivist, social cognitive-and their contributions to SBML thought and practice. We then discuss how the three learning theory frameworks converge in the course of planning, conducting, and evaluating SBML education programs in the health professions. Convergence of these learning theory frameworks is illustrated by a description of an SBML education and research program in advanced cardiac life support. We conclude with a brief coda.

Description of Self-efficacy and Initial Cognitive Abilities on the Students’ Physics Learning of the Direct Current Electrical Circuits

Science.gov (United States)

Zaenudin; Maknun, J.; Muslim

2017-03-01

This study aims to determine description of self -efficacy and initial cognitive abilities on the students of MAN 1 Bandung (senior high school) in learning physics on the subject of electrical circuits Direct Current (DC) before they get academy ask assigned in the classroom. From the results of this research can be used as a reference to provide appropriate measures for the advancement of student learning. The theory used in this research is the theory of Bandura. The design in this study using case study and data collection is done by tests and questionnaires, sampling techniques used by random sampling, the study was conducted on 10th grade students of MAN 1 Bandung by the amount of students 35 participants. The results of data analysis showed that the percentage of students who have moderate self-efficacy amounted to 67.05 %, and cognitive ability 50 %, this shows that the process of learning that takes place in school before that junior high school is not much scientific implement processes that provide students the opportunity to discover new things, then learning approaches of right is Problem Based Learning (PBL).

'It's complicated': Staff nurse perceptions of their influence on nursing students' learning. A qualitative descriptive study.

Science.gov (United States)

Hanson, Sarah E; MacLeod, Martha L; Schiller, Catharine J

2018-04-01

During both teacher-led clinical practica and precepted practica, students interact with, and learn from, staff nurses who work on the clinical units. It is understood that learning in clinical practice is enhanced by positive interactions between staff nurses and nursing students. While much is known about preceptors' experiences of working with nursing students, there is little evidence to date about staff nurses' perspectives of their interactions with students in teacher-led practica. To understand teacher-led clinical practica from the perspective of staff nurses. A qualitative descriptive approach answers the question: How do staff nurses perceive their contributions to nursing students' learning during teacher-led practica? Nine staff Registered Nurses (RNs) working within a regional acute care hospital in western Canada were interviewed using semi-structured interviews. Interview transcripts were analyzed using cross case analysis to discover themes and findings were checked by several experienced RNs. Analysis showed that nurses' interactions with nursing students are complicated. Nurses want to "train up" their future colleagues but feel a heavy burden of responsibility for students on the wards. This sense of burden for the staff nurses is influenced by several factors: the practice environment, the clinical instructor, the students themselves, and the nurses' understanding of their own contributions to student learning. Staff nurses remain willing to support student learning despite multiple factors that contribute to a sense of burden during teacher-led practica. Workplace environment, nursing program, and personal supports are needed to support their continuing engagement in student learning. Nurses need to know how important they are as role models, and the impact their casual interactions have on student nurses' socialization into the profession. Crown Copyright © 2018. Published by Elsevier Ltd. All rights reserved.

Free-access open-source e-learning in comprehensive neurosurgery skills training.

Science.gov (United States)

Jotwani, Payal; Srivastav, Vinkle; Tripathi, Manjul; Deo, Rama Chandra; Baby, Britty; Damodaran, Natesan; Singh, Ramandeep; Suri, Ashish; Bettag, Martin; Roy, Tara Sankar; Busert, Christoph; Mehlitz, Marcus; Lalwani, Sanjeev; Garg, Kanwaljeet; Paul, Kolin; Prasad, Sanjiva; Banerjee, Subhashis; Kalra, Prem; Kumar, Subodh; Sharma, Bhavani Shankar; Mahapatra, Ashok Kumar

2014-01-01

Since the end of last century, technology has taken a front seat in dispersion of medical education. Advancements of technology in neurosurgery and traditional training methods are now being challenged by legal and ethical concerns of patient safety, resident work-hour restriction and cost of operating-room time. To supplement the existing neurosurgery education pattern, various e-learning platforms are introduced as structured, interactive learning system. This study focuses on the concept, formulation, development and impact of web based learning platforms dedicated to neurosurgery discipline to disseminate education, supplement surgical knowledge and improve skills of neurosurgeons. 'Neurosurgery Education and Training School (NETS), e-learning platform' has integration of web-based technologies like 'Content Management System' for organizing the education material and 'Learning Management System' for updating neurosurgeons. NETS discussion forum networks neurosurgeons, neuroscientists and neuro-technologists across the globe facilitating collaborative translational research. Multi-authored neurosurgical e-learning material supplements the deficiencies of regular time-bound education. Interactive open-source, global, free-access e-learning platform of NETS has around 1) 425 visitors/month from 73 countries; ratio of new visitors to returning visitors 42.3; 57.7 (2); 64,380 views from 190 subscribers for surgical videos, 3-D animation, graphics based training modules (3); average 402 views per post. The e-Learning platforms provide updated educational content that make them "quick, surf, find and extract" resources. e-Learning tools like web-based education, social interactive platform and question-answer forum will save unnecessary expenditure of time and travel of neurosurgeons seeking knowledge. The need for free access platforms is more pronounced for the neurosurgeons and patients in developing nations.

Deaf Adolescents' Learning of Cardiovascular Health Information: Sources and Access Challenges.

Science.gov (United States)

Smith, Scott R; Kushalnagar, Poorna; Hauser, Peter C

2015-10-01

Deaf individuals have more cardiovascular risks than the general population that are believed to be related to their cardiovascular health knowledge disparities. This phenomenological study describes where 20 deaf sign language-using adolescents from Rochester, New York, many who possess many positive characteristics to support their health literacy, learn cardiovascular health information and their lived experiences accessing health information. The goal is to ultimately use this information to improve the delivery of cardiovascular health education to this population and other deaf adolescents at a higher risk for weak health literacy. Deaf bilingual researchers interviewed deaf adolescents, transcribed and coded the data, and described the findings. Five major sources of cardiovascular health information were identified including family, health education teachers, healthcare providers, printed materials, and informal sources. Despite possessing advantageous characteristics contributing to stronger health literacy, study participants described significant challenges with accessing health information from each source. They also demonstrated inconsistencies in their cardiovascular health knowledge, especially regarding heart attack, stroke, and cholesterol. These findings suggest a great need for additional public funding to research deaf adolescents' informal health-related learning, develop accessible and culturally appropriate health surveys and health education programming, improve interpreter education, and disseminate information through social media. © The Author 2015. Published by Oxford University Press. All rights reserved. For Permissions, please email: journals.permissions@oup.com.

Environment learning using descriptions or navigation: The involvement of working memory in young and older adults.

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Meneghetti, Chiara; Borella, Erika; Carbone, Elena; Martinelli, Massimiliano; De Beni, Rossana

2016-05-01

This study examined age-related differences between young and older adults in the involvement of verbal and visuo-spatial components of working memory (WM) when paths are learned from verbal and visuo-spatial inputs. A sample of 60 young adults (20-30 years old) and 58 older adults (60-75 years old) learned two paths from the person's point of view, one displayed in the form of a video showing the path, the other presenting the path in a verbal description. During the learning phase, participants concurrently performed a verbal task (articulatory suppression, AS group), or a visuo-spatial task (spatial tapping, ST group), or no secondary task (control, C group). After learning each path, participants completed tasks that involved the following: (1) recalling the sequential order and the location of landmarks; and (2) judging spatial sentences as true or false (verification test). The results showed that young adults outperformed older adults in all recall tasks. In both age groups performance in all types of task was worse in the AS and ST groups than in the C group, irrespective of the type of input. Overall, these findings suggest that verbal and visuo-spatial components of WM underpin the processing of environmental information in both young and older adults. The results are discussed in terms of age-related differences and according to the spatial cognition framework. © 2015 The British Psychological Society.

End-of-life care: nurses' experiences in caring for dying patients with profound learning disabilities--a descriptive case study.

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Li, S; Ng, J

2008-12-01

This qualitative study identifies areas of expertise and deficits in the specific knowledge and practical skills of nurses in the care of dying patients with profound learning disabilities in one NHS Primary Care Trust in the UK. In response to these findings, we have developed a simple observational checklist applicable to profound learning disability nursing to identify disease-related personality and physiological changes. The method consists of a descriptive case study of five nurses qualified in learning disabilities nursing, using semi-structured interviews. The disease trajectory was used as a framework of reference to guide the data analysis. Themes showed were 'certainty of knowing' about disease-related changes in patients' habits and behaviour and 'uncertainty and ambiguity' in the patho-physiology of advanced diseases and disease progression. This study interprets a lack of patho-physiological knowledge in both malignant and non-malignant diseases leading to delayed diagnosis and timely intervention. Timeliness of observation and intervention are emphasised.

Learning in context

DEFF Research Database (Denmark)

Keiding, Tina Bering

2007-01-01

This article offers a re-description of the concept of learning context. Drawing on Niklas Luhmann and Gregory Bateson it suggests an alternative to situated, social learning and activity theory. The conclusion is that learning context designates an individual's reconstruction of the environment...... through contingent handling of differences and that the individual emerge as learning through the actual construction. Selection of differences is influenced by the learner's actual knowledge, the nature of the environment and the current horizon of meaning in which the current adaptive perspective...... becomes a significant factor. The re-description contributes to didaktik  through renewed understandings of participants' background in teaching and learning....

Modular Object-Oriented Dynamic Learning Environment: What Open Source Has to Offer

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Antonenko, Pavlo; Toy, Serkan; Niederhauser, Dale

2004-01-01

Open source online learning environments have emerged and developed over the past 10 years. In this paper we will analyze the underlying philosophy and features of MOODLE based on the theoretical framework developed by Hannafin and Land (2000). Psychological, pedagogical, technological, cultural, and pragmatic foundations comprise the framework…

PENERAPAN PEMBELAJARAN PROBLEM BASED LEARNING (PBL UNTUK MENINGKATKAN HASIL BELAJAR MATEMATIKA SISWA KELAS IV

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Fida Rahmantika Hadi

2018-01-01

Full Text Available The purpose of this study was to describe the steps to the application of PBL learning to improve student learning outcomes in the material fractions. This research was a class act. In this study the data source was the teacher and the student. Data collection techniques used in this study consisted of (a observation, (b interviews, and (c test. Methods of data analysis used in this research is descriptive qualitative and descriptive comparative. The steps of learning by PBL method are (1 the stage of cooperation where students formed into groups of 4-5 students, (2 the orientation of students to the problem, namely the provision of problems related to everyday life, (3 organization students to learn independently in a group, (4 guided inquiry groups using worksheets to gather the appropriate information, and (5 develop and present the results of discussions through presentations to the class. The resulting increases in students' mathematics learning of the results of the pre-action test 71.31 and increased in the first cycle to 75.78, on the second cycle increased by 82.63.

Improving Published Descriptions of Germplasm.

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Published descriptions of new germplasm, such as in the Journal of Plant Registrations (JPR) and, prior to mid-2007, in Crop Science, are important vehicles for allowing researchers and other interested parties to learn about such germplasm and the methods used to generate them. Launched in 2007, JP...

Mediated learning in the workplace: student perspectives on knowledge resources.

Science.gov (United States)

Shanahan, Madeleine

2015-01-01

In contemporary clinical practice, student radiographers can use many types of knowledge resources to support their learning. These include workplace experts, digital and nondigital information sources (eg, journals, textbooks, and the Internet), and electronic communication tools such as e-mail and social media. Despite the range of knowledge tools available, there is little available data about radiography students' use of these resources during clinical placement. A 68-item questionnaire was distributed to 62 students enrolled in an Australian university undergraduate radiography program after they completed a clinical placement. Researchers used descriptive statistics to analyze student access to workplace experts and their use of digital and nondigital information sources and electronic communication tools. A 5-point Likert scale (1 = very important; 5 = not important) was used to assess the present importance and perceived future value of knowledge tools for workplace learning. Of the 53 students who completed and returned the questionnaire anonymously, most rely on the knowledge of practicing technologists and on print and electronic information sources to support their learning; some students also use electronic communication tools. Students perceive that these knowledge resources also will be important tools for their future learning as qualified health professionals. The findings from this study present baseline data regarding the value students attribute to multiple knowledge tools and regarding student access to and use of these tools during clinical placement. In addition, most students have access to multiple knowledge tools in the workplace and incorporate these tools simultaneously into their overall learning practice during clinical placement. Although a range of knowledge tools is used in the workplace to support learning among student radiographers, the quality of each tool should be critically analyzed before it is adopted in practice

A descriptive qualitative study of student learning in a psychosocial nursing class infused with art, literature, music, and film.

Science.gov (United States)

Jensen, Alice; Curtis, Mary

2008-01-01

Nursing educators have long valued and supported the integration of liberal arts in professional nursing programs. This descriptive qualitative study explores the meanings students derive from the integration of liberal arts content into a psychosocial nursing class. Questionnaires, class observation, and focus group interviews revealed five themes: an interesting hook, a deeper level of understanding, developing self-understanding, developing empathy and increasing cultural awareness. Researchers suggest that integrating liberal arts into nursing education enhances student learning.

A Formal Semantics for Concept Understanding relying on Description Logics

DEFF Research Database (Denmark)

Badie, Farshad

2017-01-01

In this research, Description Logics (DLs) will be employed for logical description, logical characterisation, logical modelling and ontological description of concept understanding in terminological systems. It’s strongly believed that using a formal descriptive logic could support us in reveali...... logical assumptions whose discovery may lead us to a better understanding of ‘concept understanding’. The Structure of Observed Learning Outcomes (SOLO) model as an appropriate model of increasing complexity of humans’ understanding has supported the formal analysis....

A Formal Semantics for Concept Understanding relying on Description Logics

DEFF Research Database (Denmark)

Badie, Farshad

2017-01-01

logical assumptions whose discovery may lead us to a better understanding of ‘concept understanding’. The Structure of Observed Learning Outcomes (SOLO) model as an appropriate model of increasing complexity of humans’ understanding has supported the formal analysis.......In this research, Description Logics (DLs) will be employed for logical description, logical characterisation, logical modelling and ontological description of concept understanding in terminological systems. It’s strongly believed that using a formal descriptive logic could support us in revealing...

Genre based Approach to Teach Writing Descriptive Text

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Putu Ngurah Rusmawan

2017-10-01

Full Text Available This study aims to discuss how teaching and learning activities were carried out by using Genre based Approach in teaching writing descriptive text at junior high school. This study was conducted in the classroom of VII-1. Therefore, the appropriate design was qualitative research design. The subject of the study was the English teacher. To collect data, the researcher used observation and interview. The finding of the study described that the teaching and learning activities that were carried out by the teacher fulfilled the basic competencies. The teacher carried out the opening teaching activities by greeting, asking the students’ preparation during the lesson, checking the student’s attendance list, and informing the learning objective. The teacher carried out the main teaching activities by informing about how to write a descriptive text, giving, and asking opinions, eliciting the students’ understanding, prompting and directing to do exercises. The teacher carried out the closing teaching activities by directing the student to continue at home and eliciting the students’ reflection of what they could learn at that time.

An activity theory perspective of how scenario-based simulations support learning: a descriptive analysis.

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Battista, Alexis

2017-01-01

The dominant frameworks for describing how simulations support learning emphasize increasing access to structured practice and the provision of feedback which are commonly associated with skills-based simulations. By contrast, studies examining student participants' experiences during scenario-based simulations suggest that learning may also occur through participation. However, studies directly examining student participation during scenario-based simulations are limited. This study examined the types of activities student participants engaged in during scenario-based simulations and then analyzed their patterns of activity to consider how participation may support learning. Drawing from Engeström's first-, second-, and third-generation activity systems analysis, an in-depth descriptive analysis was conducted. The study drew from multiple qualitative methods, namely narrative, video, and activity systems analysis, to examine student participants' activities and interaction patterns across four video-recorded simulations depicting common motivations for using scenario-based simulations (e.g., communication, critical patient management). The activity systems analysis revealed that student participants' activities encompassed three clinically relevant categories, including (a) use of physical clinical tools and artifacts, (b) social interactions, and (c) performance of structured interventions. Role assignment influenced participants' activities and the complexity of their engagement. Importantly, participants made sense of the clinical situation presented in the scenario by reflexively linking these three activities together. Specifically, student participants performed structured interventions, relying upon the use of physical tools, clinical artifacts, and social interactions together with interactions between students, standardized patients, and other simulated participants to achieve their goals. When multiple student participants were present, such as in a

Technical Evaluation Report 25: Open Source Software: Two learning management systems

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Jim Depow

2003-10-01

Full Text Available This report is the second in a two-part series about open source (OSS and free software (FS systems in online education. These are rapidly emerging as alternatives to costly proprietary learning management systems (LMS and content management systems (CMS. This report reviews two LMS systems and one CMS system, all developed on the OSS/ FS principle and available to users free of charge.

An Empirical Verification of a-priori Learning Models on Mailing Archives in the Context of Online Learning Activities of Participants in Free\\Libre Open Source Software (FLOSS) Communities

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Mukala, Patrick; Cerone, Antonio; Turini, Franco

2017-01-01

Free\\Libre Open Source Software (FLOSS) environments are increasingly dubbed as learning environments where practical software engineering skills can be acquired. Numerous studies have extensively investigated how knowledge is acquired in these environments through a collaborative learning model that define a learning process. Such a learning…

Chamilo 2.0: A Second Generation Open Source E-learning and Collaboration Platform

OpenAIRE

Jean-Marie Maes

2010-01-01

Dokeos used to be one of the leading open source learning platforms. It is well known for the wide range of functions it offers and especially for its ease of use. In many ways it is however a typical first generation learning management system (LMS) consisting of a set of loosely integrated tools. The original design of this LMS has a number of serious drawbacks and limitations. Because of this it was decided to opt for a completely new system that would use state of the art development tech...

Memory enhancement by a semantically unrelated emotional arousal source induced after learning.

Science.gov (United States)

Nielson, Kristy A; Yee, Douglas; Erickson, Kirk I

2005-07-01

It has been well established that moderate physiological or emotional arousal modulates memory. However, there is some controversy about whether the source of arousal must be semantically related to the information to be remembered. To test this idea, 35 healthy young adult participants learned a list of common nouns and afterward viewed a semantically unrelated, neutral or emotionally arousing videotape. The tape was shown after learning to prevent arousal effects on encoding or attention, instead influencing memory consolidation. Heart rate increase was significantly greater in the arousal group, and negative affect was significantly less reported in the non-arousal group after the video. The arousal group remembered significantly more words than the non-arousal group at both 30 min and 24 h delays, despite comparable group memory performance prior to the arousal manipulation. These results demonstrate that emotional arousal, even from an unrelated source, is capable of modulating memory consolidation. Potential reasons for contradictory findings in some previous studies, such as the timing of "delayed" memory tests, are discussed.

THE USE OF PAIR COMPOSITION METHOD ON STUDENTS’ DESCRIPTIVE WRITING SKILL

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Maya Nurmayanti

2014-06-01

Full Text Available This research was aimed to find out roles of pair composition method on students’ behaviour in learning processes and their writing assessment, and also to find out students’ attitude toward learning process of pair composition method in writing descriptive text in the classroom. Descriptive qualitative method was used in this research. The participants were 33 students of X grade of Senior High School. The data were collected from observation, the result of analysis showed that 66% of the seriousness of students during learning process was high, 78% of enthusiasm of students in doing task was high, and 58% of students’ participation was high. The increasing of students’ assessment was 18,7 from the average score before. The data collected from interview and questionnaire indicated that pair composition method provided the opportunities for sharing ideas, developing text, corresting writing errors, motivating students being active, and 50% students strongly agreed that pair composition method on writing descriptive text was lively and enjoyable.

Lessons learned from accidents in radiotherapy

Energy Technology Data Exchange (ETDEWEB)

Ortiz-Lopez, P [International Atomic Energy Agency, Vienna (Austria). Div. of Nuclear Safety; Novotny, J [University Hospital St. Rafael, Leuven (Belgium); Haywood, J [South Cleveland Hospital (United Kingdom). Cleveland Medical Physics Unit

1996-08-01

Radiotherapy is the only application of radiation which intentionally delivers very high doses to humans. A gross deviation from the prescribed dose or dose distribution can have severe, or even fatal consequences. Since the patient is placed directly in the beam or sources are inserted in the body, any mistake made with the beam or the sources leads almost certainly to an accidental exposure. Lessons learned from previous incidents can be used to test the vulnerability of a given facility, provided that these are adequately disseminated. The purpose of this paper is to present a summary of the lessons learned from a relatively large sample of events. The analysis has been presented as a short description followed by an identification of the triggering event and the contributing factors. These have been grouped as follows: errors in commissioning or calibration machines and sources affecting many patients; mistakes affecting individual patients such as irradiating the wrong patient, the wrong, field or site, and mistakes when entering data into or reading from the patient`s chart; error due to unusual treatments or situations; equipment failure and human machine problems, including maintenance. (author). 1 ref.

Lessons learned from accidents in radiotherapy

International Nuclear Information System (INIS)

Ortiz-Lopez, P.; Haywood, J.

1996-01-01

Radiotherapy is the only application of radiation which intentionally delivers very high doses to humans. A gross deviation from the prescribed dose or dose distribution can have severe, or even fatal consequences. Since the patient is placed directly in the beam or sources are inserted in the body, any mistake made with the beam or the sources leads almost certainly to an accidental exposure. Lessons learned from previous incidents can be used to test the vulnerability of a given facility, provided that these are adequately disseminated. The purpose of this paper is to present a summary of the lessons learned from a relatively large sample of events. The analysis has been presented as a short description followed by an identification of the triggering event and the contributing factors. These have been grouped as follows: errors in commissioning or calibration machines and sources affecting many patients; mistakes affecting individual patients such as irradiating the wrong patient, the wrong, field or site, and mistakes when entering data into or reading from the patient's chart; error due to unusual treatments or situations; equipment failure and human machine problems, including maintenance. (author). 1 ref

Automatic classification of written descriptions by healthy adults: An overview of the application of natural language processing and machine learning techniques to clinical discourse analysis.

Science.gov (United States)

Toledo, Cíntia Matsuda; Cunha, Andre; Scarton, Carolina; Aluísio, Sandra

2014-01-01

Discourse production is an important aspect in the evaluation of brain-injured individuals. We believe that studies comparing the performance of brain-injured subjects with that of healthy controls must use groups with compatible education. A pioneering application of machine learning methods using Brazilian Portuguese for clinical purposes is described, highlighting education as an important variable in the Brazilian scenario. The aims were to describe how to:(i) develop machine learning classifiers using features generated by natural language processing tools to distinguish descriptions produced by healthy individuals into classes based on their years of education; and(ii) automatically identify the features that best distinguish the groups. The approach proposed here extracts linguistic features automatically from the written descriptions with the aid of two Natural Language Processing tools: Coh-Metrix-Port and AIC. It also includes nine task-specific features (three new ones, two extracted manually, besides description time; type of scene described - simple or complex; presentation order - which type of picture was described first; and age). In this study, the descriptions by 144 of the subjects studied in Toledo 18 were used,which included 200 healthy Brazilians of both genders. A Support Vector Machine (SVM) with a radial basis function (RBF) kernel is the most recommended approach for the binary classification of our data, classifying three of the four initial classes. CfsSubsetEval (CFS) is a strong candidate to replace manual feature selection methods.

Automatic classification of written descriptions by healthy adults: An overview of the application of natural language processing and machine learning techniques to clinical discourse analysis

Directory of Open Access Journals (Sweden)

Cíntia Matsuda Toledo

Full Text Available Discourse production is an important aspect in the evaluation of brain-injured individuals. We believe that studies comparing the performance of brain-injured subjects with that of healthy controls must use groups with compatible education. A pioneering application of machine learning methods using Brazilian Portuguese for clinical purposes is described, highlighting education as an important variable in the Brazilian scenario.OBJECTIVE: The aims were to describe how to: (i develop machine learning classifiers using features generated by natural language processing tools to distinguish descriptions produced by healthy individuals into classes based on their years of education; and (ii automatically identify the features that best distinguish the groups.METHODS: The approach proposed here extracts linguistic features automatically from the written descriptions with the aid of two Natural Language Processing tools: Coh-Metrix-Port and AIC. It also includes nine task-specific features (three new ones, two extracted manually, besides description time; type of scene described - simple or complex; presentation order - which type of picture was described first; and age. In this study, the descriptions by 144 of the subjects studied in Toledo18 were used, which included 200 healthy Brazilians of both genders.RESULTS AND CONCLUSION:A Support Vector Machine (SVM with a radial basis function (RBF kernel is the most recommended approach for the binary classification of our data, classifying three of the four initial classes. CfsSubsetEval (CFS is a strong candidate to replace manual feature selection methods.

The chemotherapeutic agent paclitaxel selectively impairs learning while sparing source memory and spatial memory.

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Smith, Alexandra E; Slivicki, Richard A; Hohmann, Andrea G; Crystal, Jonathon D

2017-03-01

Chemotherapeutic agents are widely used to treat patients with systemic cancer. The efficacy of these therapies is undermined by their adverse side-effect profiles such as cognitive deficits that have a negative impact on the quality of life of cancer survivors. Cognitive side effects occur across a variety of domains, including memory, executive function, and processing speed. Such impairments are exacerbated under cognitive challenges and a subgroup of patients experience long-term impairments. Episodic memory in rats can be examined using a source memory task. In the current study, rats received paclitaxel, a taxane-derived chemotherapeutic agent, and learning and memory functioning was examined using the source memory task. Treatment with paclitaxel did not impair spatial and episodic memory, and paclitaxel treated rats were not more susceptible to cognitive challenges. Under conditions in which memory was not impaired, paclitaxel treatment impaired learning of new rules, documenting a decreased sensitivity to changes in experimental contingencies. These findings provide new information on the nature of cancer chemotherapy-induced cognitive impairments, particularly regarding the incongruent vulnerability of episodic memory and new learning following treatment with paclitaxel. Copyright © 2016 Elsevier B.V. All rights reserved.

Instructional Utility and Learning Efficacy of Common Active Learning Strategies

Science.gov (United States)

McConell, David A.; Chapman, LeeAnna; Czaijka, C. Douglas; Jones, Jason P.; Ryker, Katherine D.; Wiggen, Jennifer

2017-01-01

The adoption of active learning instructional practices in college science, technology, engineering, and mathematics (STEM) courses has been shown to result in improvements in student learning, contribute to increased retention rates, and reduce the achievement gap among different student populations. Descriptions of active learning strategies…

Implementing an Open Source Learning Management System: A Critical Analysis of Change Strategies

Science.gov (United States)

Uys, Philip M.

2010-01-01

This paper analyses the change and innovation strategies that Charles Sturt University (CSU) used from 2007 to 2009 during the implementation and mainstreaming of an open source learning management system (LMS), Sakai, named locally as "CSU Interact". CSU was in January 2008 the first Australian University to implement an open source…

Using a Corporate Partnership to Enhance Learning in a Sourcing Negotiation Role-play

Science.gov (United States)

Hartley, Janet L.; Eboch, Karen; Gilberg, Jonathan

2017-01-01

Although role-plays can be effective teaching tools for buyer-supplier negotiation, learning can be somewhat limited because typically novices are negotiating with each other. We describe how we collaborated with a corporate partner, CACI International, to develop and implement a repeatable sourcing and negotiation role-play that helps to address…

You Can Learn Something Every Day! Children Talk about Learning in Kindergarten--Traces of Learning Cultures

Science.gov (United States)

Alvestad, Marit

2011-01-01

Discussion of learning in the kindergarten context is growing both in Norway and internationally. This article focuses on some central aspects of learning described by groups of children aged 4-6 years, in three Norwegian kindergartens. The research concerns children's descriptions of aspects of learning experienced in their everyday life in…

The Use of Decorative Styles of Woven Songket as a Source of Learning in the Course Textile Design and Decoration

Directory of Open Access Journals (Sweden)

Made Budhyani I Dewa Ayu

2018-01-01

Full Text Available The use of learning sources in the learning process greatly contributes to the achievement of its goal. The use of learning sources greatly affects the teaching and learning process. It is necessary to use different learning sources when creating a textile design in order to produce a quality product. The decorative style of woven songket can be used as one of the learning sources. The different decorative types of the woven songket contain aesthetic values. The decorative type of woven songket is a product of the crafter’s feeling, creativity, and intention inspired by the environment. The natural objects such as plants, animals, human beings, and geometric elements are stylized into the decorative forms. The decorative style used on the woven songket can be used as the learning source in order to create the decorative style in the course Textile Design and Decoration. There are several aesthetic elements which inspire where the decorative style is placed; they are composition, rhythm, balance, the harmonious layout of the decorative style, and the variation of the decorative style on the textile design. In general, the composition of the placement of the main object of the decorative style is more dominant on the piece of fabric. Rhythm and how the decorative style is composed are shown through the composition of the decorative motive forms such as how big and small they are, how high and low they are and how long and short they are. The ways in which the decorative motives and colors are entirely shown contribute to the harmony and placement of decorative style. The symmetric balance is used to create balance and avoid the impression of being biased. The placement of what the motives contain and how they are composed are used to determine the variation of the decorative style used. The placement of objects and the marginal decoration of the fabric also determine the variation used.

From learning objects to learning activities

DEFF Research Database (Denmark)

Dalsgaard, Christian

2005-01-01

This paper discusses and questions the current metadata standards for learning objects from a pedagogical point of view. From a social constructivist approach, the paper discusses how learning objects can support problem based, self-governed learning activities. In order to support this approach......, it is argued that it is necessary to focus on learning activities rather than on learning objects. Further, it is argued that descriptions of learning objectives and learning activities should be separated from learning objects. The paper presents a new conception of learning objects which supports problem...... based, self-governed activities. Further, a new way of thinking pedagogy into learning objects is introduced. It is argued that a lack of pedagogical thinking in learning objects is not solved through pedagogical metadata. Instead, the paper suggests the concept of references as an alternative...

[Learning strategies of autonomous medical students].

Science.gov (United States)

Márquez U, Carolina; Fasce H, Eduardo; Ortega B, Javiera; Bustamante D, Carolina; Pérez V, Cristhian; Ibáñez G, Pilar; Ortiz M, Liliana; Espinoza P, Camila; Bastías V, Nancy

2015-12-01

Understanding how autonomous students are capable of regulating their own learning process is essential to develop self-directed teaching methods. To understand how self-directed medical students approach learning in medical schools at University of Concepción, Chile. A qualitative and descriptive study, performed according to Grounded Theory guidelines, following Strauss & Corbin was performed. Twenty medical students were selected by the maximum variation sampling method. The data collection technique was carried out by a semi-structured thematic interview. Students were interviewed by researchers after an informed consent procedure. Data were analyzed by the open coding method using Atlas-ti 7.5.2 software. Self-directed learners were characterized by being good planners and managing their time correctly. Students performed a diligent selection of contents to study based on reliable literature sources, theoretical relevance and type of evaluation. They also emphasized the discussion of clinical cases, where theoretical contents can be applied. This modality allows them to gain a global view of theoretical contents, to verbalize knowledge and to obtain a learning feedback. The learning process of autonomous students is intentional and planned.

Transport-level description of the 252Cf-source method using the Langevin technique

International Nuclear Information System (INIS)

Stolle, A.M.; Akcasu, A.Z.

1991-01-01

The fluctuations in the neutron number density and detector outputs in a nuclear reactor can be analyzed conveniently by using the Langevin equation approach. This approach can be implemented at any level of approximation to describe the time evolution of the neutron population, from the most complete transport-level description to the very basic point reactor analysis of neutron number density fluctuations. In this summary, the complete space- and velocity-dependent transport-level formulation of the Langevin equation approach is applied to the analysis of the 252 Cf-source-driven noise analysis (CSDNA) method, an experimental technique developed by J.T. Mihalczo at Oak Ridge National Laboratory, which makes use of noise analysis to determine the reactivity of subcritical media. From this analysis, a theoretical expression for the subcritical multiplication factor is obtained that can then be used to interpret the experimental data. Results at the transport level are in complete agreement with an independent derivation performed by Sutton and Doub, who used the probability density method to interpret the CSDNA experiment, but differed from other expressions that have appeared in the literature

Maximize the Mobile Learning Interaction through Project-Based Learning Activities

Science.gov (United States)

Sulisworo, Dwi; Santyasa, I. Wayan

2018-01-01

Mobile learning implementation at school is a must and meets what students currently need. To facilitate those conditions, teachers also need to have competencies in managing online learning. This research is a descriptive research to find out the experience of students who are prospective teachers when attending the mobile learning course…

Online transfer learning with extreme learning machine

Science.gov (United States)

Yin, Haibo; Yang, Yun-an

2017-05-01

In this paper, we propose a new transfer learning algorithm for online training. The proposed algorithm, which is called Online Transfer Extreme Learning Machine (OTELM), is based on Online Sequential Extreme Learning Machine (OSELM) while it introduces Semi-Supervised Extreme Learning Machine (SSELM) to transfer knowledge from the source to the target domain. With the manifold regularization, SSELM picks out instances from the source domain that are less relevant to those in the target domain to initialize the online training, so as to improve the classification performance. Experimental results demonstrate that the proposed OTELM can effectively use instances in the source domain to enhance the learning performance.

Service Learning in Medical Education: Project Description and Evaluation

Science.gov (United States)

Borges, Nicole J.; Hartung, Paul J.

2007-01-01

Although medical education has long recognized the importance of community service, most medical schools have not formally nor fully incorporated service learning into their curricula. To address this problem, we describe the initial design, development, implementation, and evaluation of a service-learning project within a first-year medical…

Math Description Engine Software Development Kit

Science.gov (United States)

Shelton, Robert O.; Smith, Stephanie L.; Dexter, Dan E.; Hodgson, Terry R.

2010-01-01

The Math Description Engine Software Development Kit (MDE SDK) can be used by software developers to make computer-rendered graphs more accessible to blind and visually-impaired users. The MDE SDK generates alternative graph descriptions in two forms: textual descriptions and non-verbal sound renderings, or sonification. It also enables display of an animated trace of a graph sonification on a visual graph component, with color and line-thickness options for users having low vision or color-related impairments. A set of accessible graphical user interface widgets is provided for operation by end users and for control of accessible graph displays. Version 1.0 of the MDE SDK generates text descriptions for 2D graphs commonly seen in math and science curriculum (and practice). The mathematically rich text descriptions can also serve as a virtual math and science assistant for blind and sighted users, making graphs more accessible for everyone. The MDE SDK has a simple application programming interface (API) that makes it easy for programmers and Web-site developers to make graphs accessible with just a few lines of code. The source code is written in Java for cross-platform compatibility and to take advantage of Java s built-in support for building accessible software application interfaces. Compiled-library and NASA Open Source versions are available with API documentation and Programmer s Guide at http:/ / prim e.jsc.n asa. gov.

Performative Tools and Collaborative Learning

DEFF Research Database (Denmark)

Minder, Bettina; Lassen, Astrid Heidemann

of performative tools used in transdisciplinary events for collaborative learning. The results of this single case study add to extant knowledge- and learning literature by providing the reader with a rich description of characteristics and learning functions of performative tools in transdisciplinary events......The use of performative tools can support collaborative learning across knowledge domains (i.e. science and practice), because they create new spaces for dialog. However, so far innovation literature provides little answers to the important discussion of how to describe the effects and requirements...... and a description of how they interrelate with the specific setting of such an event. Furthermore, they complement previous findings by relating performative tools to collaborative learning for knowledge intensive ideas....

DeepInfer: open-source deep learning deployment toolkit for image-guided therapy

Science.gov (United States)

Mehrtash, Alireza; Pesteie, Mehran; Hetherington, Jorden; Behringer, Peter A.; Kapur, Tina; Wells, William M.; Rohling, Robert; Fedorov, Andriy; Abolmaesumi, Purang

2017-03-01

Deep learning models have outperformed some of the previous state-of-the-art approaches in medical image analysis. Instead of using hand-engineered features, deep models attempt to automatically extract hierarchical representations at multiple levels of abstraction from the data. Therefore, deep models are usually considered to be more flexible and robust solutions for image analysis problems compared to conventional computer vision models. They have demonstrated significant improvements in computer-aided diagnosis and automatic medical image analysis applied to such tasks as image segmentation, classification and registration. However, deploying deep learning models often has a steep learning curve and requires detailed knowledge of various software packages. Thus, many deep models have not been integrated into the clinical research work ows causing a gap between the state-of-the-art machine learning in medical applications and evaluation in clinical research procedures. In this paper, we propose "DeepInfer" - an open-source toolkit for developing and deploying deep learning models within the 3D Slicer medical image analysis platform. Utilizing a repository of task-specific models, DeepInfer allows clinical researchers and biomedical engineers to deploy a trained model selected from the public registry, and apply it to new data without the need for software development or configuration. As two practical use cases, we demonstrate the application of DeepInfer in prostate segmentation for targeted MRI-guided biopsy and identification of the target plane in 3D ultrasound for spinal injections.

ISINA: INTEGRAL Source Identification Network Algorithm

Science.gov (United States)

Scaringi, S.; Bird, A. J.; Clark, D. J.; Dean, A. J.; Hill, A. B.; McBride, V. A.; Shaw, S. E.

2008-11-01

We give an overview of ISINA: INTEGRAL Source Identification Network Algorithm. This machine learning algorithm, using random forests, is applied to the IBIS/ISGRI data set in order to ease the production of unbiased future soft gamma-ray source catalogues. First, we introduce the data set and the problems encountered when dealing with images obtained using the coded mask technique. The initial step of source candidate searching is introduced and an initial candidate list is created. A description of the feature extraction on the initial candidate list is then performed together with feature merging for these candidates. Three training and testing sets are created in order to deal with the diverse time-scales encountered when dealing with the gamma-ray sky. Three independent random forests are built: one dealing with faint persistent source recognition, one dealing with strong persistent sources and a final one dealing with transients. For the latter, a new transient detection technique is introduced and described: the transient matrix. Finally the performance of the network is assessed and discussed using the testing set and some illustrative source examples. Based on observations with INTEGRAL, an ESA project with instruments and science data centre funded by ESA member states (especially the PI countries: Denmark, France, Germany, Italy, Spain), Czech Republic and Poland, and the participation of Russia and the USA. E-mail: simo@astro.soton.ac.uk

Logical Characterisation of Ontology Construction using Fuzzy Description Logics

DEFF Research Database (Denmark)

Badie, Farshad; Götzsche, Hans

had the extension of ontologies with Fuzzy Logic capabilities which plan to make proper backgrounds for ontology driven reasoning and argumentation on vague and imprecise domains. This presentation conceptualises learning from fuzzy classes using the Inductive Logic Programming framework. Then......, employs Description Logics in characterising and analysing fuzzy statements. And finally, provides a conceptual framework describing fuzzy concept learning in ontologies using the Inductive Logic Programming....

Converting Taxonomic Descriptions to New Digital Formats

Directory of Open Access Journals (Sweden)

Hong Cui

2008-01-01

Full Text Available Abstract.--The majority of taxonomic descriptions is currently in print format. The majority of digital descriptions are in formats such as DOC, HTML, or PDF and for human readers. These formats do not convey rich semantics in taxonomic descriptions for computer-aided process. Newer digital formats such as XML and RDF accommodate semantic annotations that allow computers to process the rich semantics on human's behalf, thus open up opportunities for a wide range of innovative usages of taxonomic descriptions, such as searching in more precise and flexible ways, integrating with gnomic and geographic information, generating taxonomic keys automatically, and text data mining and information visualization etc. This paper discusses the challenges in automated conversion of multiple collections of descriptions to XML format and reports an automated system, MARTT. MARTT is a machine-learning system that makes use of training examples to tag new descriptions into XML format. A number of utilities are implemented as solutions to the challenges. The utilities are used to reduce the effort for training example preparation, to facilitate the creation of a comprehensive schema, and to predict system performance on a new collection of descriptions. The system has been tested with several plant and alga taxonomic publications including Flora of China and Flora of North America.

A Framework for the Flexible Content Packaging of Learning Objects and Learning Designs

Science.gov (United States)

Lukasiak, Jason; Agostinho, Shirley; Burnett, Ian; Drury, Gerrard; Goodes, Jason; Bennett, Sue; Lockyer, Lori; Harper, Barry

2004-01-01

This paper presents a platform-independent method for packaging learning objects and learning designs. The method, entitled a Smart Learning Design Framework, is based on the MPEG-21 standard, and uses IEEE Learning Object Metadata (LOM) to provide bibliographic, technical, and pedagogical descriptors for the retrieval and description of learning…

Signal information available for plume source tracking with and without surface waves and learning by undergraduates assisting with the research

Science.gov (United States)

Wiley, Megan Beth

Autonomous vehicles have had limited success in locating point sources of pollutants, chemicals, and other passive scalars. However, animals such as stomatopods, a mantis shrimp, track odor plumes easily for food, mates, and habitat. Laboratory experiments using Planar Laser Induced Fluorescence measured odor concentration downstream of a diffusive source with and without live stomatopods to investigate their source-tracking strategies in unidirectional and "wave-affected" (surface waves with a mean current) flows. Despite the dearth of signal, extreme temporal variation, and meandering plume centerline, the stomatopods were able to locate the source, especially in the wave-affected flow. Differences in the two plumes far from the source (>160 cm) appeared to help the animals in the wave-affected flow position themselves closer to the source (fluid mechanics, and there was little evidence of learning by participation in the RAship. One RA's conceptions of turbulence did change, but a group workshop seemed to support this learning more than the RAship. The documented conceptions could aid in curriculum design, since situating new information within current knowledge seems to deepen learning outcomes. The RAs' conceptions varied widely with some overlap of ideas. The interviews also showed that most RAs did not discuss molecular diffusion as part of the mixing process and some remembered information from course demonstrations, but applied them inappropriately to the interview questions.

Sexuality of adolescents living with HIV/AIDS: sources of information defining learning

Directory of Open Access Journals (Sweden)

Graciela Dutra Sehnem

2018-01-01

Full Text Available ABSTRACT Objective: To know the sources of information of adolescents living with HIV/AIDS that define learning about sexuality. Methods: A qualitative study was performed in a Specialized Care Service of a city in the state of Rio Grande do Sul, Southern Brazil, with 15 adolescents living with HIV/AIDS. A semi-structured interview and thematic analysis were used. Results: Adolescents have built up their knowledge about sexuality, especially through relationships with friends and older family members, or through access to media sources. Schools and health services were spaces for sharing information about biological aspects of sexuality. Conclusion: Nurses need to address adolescent sexuality beyond the biological dimension and support it through critical and dialogical health education.

Towards unsupervised ontology learning from data

CSIR Research Space (South Africa)

Klarman, S

2015-07-01

Full Text Available from facts [Shapiro, 1981], finite automata descriptions from observations [Pitt, 1989], logic programs from interpretations [De Raedt and Lavracˇ, 1993; De Raedt, 1994]. In the area of DLs, a few learning scenarios have been formally addressed..., concerned largely with learning concept descriptions via different learn- ing operators [Straccia and Mucci, 2015; Lehmann and Hit- zler, 2008; Fanizzi et al., 2008; Cohen and Hirsh, 1994] and applications of formal concept analysis techniques to auto- mated...

Open source machine-learning algorithms for the prediction of optimal cancer drug therapies.

Science.gov (United States)

Huang, Cai; Mezencev, Roman; McDonald, John F; Vannberg, Fredrik

2017-01-01

Precision medicine is a rapidly growing area of modern medical science and open source machine-learning codes promise to be a critical component for the successful development of standardized and automated analysis of patient data. One important goal of precision cancer medicine is the accurate prediction of optimal drug therapies from the genomic profiles of individual patient tumors. We introduce here an open source software platform that employs a highly versatile support vector machine (SVM) algorithm combined with a standard recursive feature elimination (RFE) approach to predict personalized drug responses from gene expression profiles. Drug specific models were built using gene expression and drug response data from the National Cancer Institute panel of 60 human cancer cell lines (NCI-60). The models are highly accurate in predicting the drug responsiveness of a variety of cancer cell lines including those comprising the recent NCI-DREAM Challenge. We demonstrate that predictive accuracy is optimized when the learning dataset utilizes all probe-set expression values from a diversity of cancer cell types without pre-filtering for genes generally considered to be "drivers" of cancer onset/progression. Application of our models to publically available ovarian cancer (OC) patient gene expression datasets generated predictions consistent with observed responses previously reported in the literature. By making our algorithm "open source", we hope to facilitate its testing in a variety of cancer types and contexts leading to community-driven improvements and refinements in subsequent applications.

Open source machine-learning algorithms for the prediction of optimal cancer drug therapies.

Directory of Open Access Journals (Sweden)

Cai Huang

Full Text Available Precision medicine is a rapidly growing area of modern medical science and open source machine-learning codes promise to be a critical component for the successful development of standardized and automated analysis of patient data. One important goal of precision cancer medicine is the accurate prediction of optimal drug therapies from the genomic profiles of individual patient tumors. We introduce here an open source software platform that employs a highly versatile support vector machine (SVM algorithm combined with a standard recursive feature elimination (RFE approach to predict personalized drug responses from gene expression profiles. Drug specific models were built using gene expression and drug response data from the National Cancer Institute panel of 60 human cancer cell lines (NCI-60. The models are highly accurate in predicting the drug responsiveness of a variety of cancer cell lines including those comprising the recent NCI-DREAM Challenge. We demonstrate that predictive accuracy is optimized when the learning dataset utilizes all probe-set expression values from a diversity of cancer cell types without pre-filtering for genes generally considered to be "drivers" of cancer onset/progression. Application of our models to publically available ovarian cancer (OC patient gene expression datasets generated predictions consistent with observed responses previously reported in the literature. By making our algorithm "open source", we hope to facilitate its testing in a variety of cancer types and contexts leading to community-driven improvements and refinements in subsequent applications.

Mining skeletal phenotype descriptions from scientific literature.

Directory of Open Access Journals (Sweden)

Tudor Groza

Full Text Available Phenotype descriptions are important for our understanding of genetics, as they enable the computation and analysis of a varied range of issues related to the genetic and developmental bases of correlated characters. The literature contains a wealth of such phenotype descriptions, usually reported as free-text entries, similar to typical clinical summaries. In this paper, we focus on creating and making available an annotated corpus of skeletal phenotype descriptions. In addition, we present and evaluate a hybrid Machine Learning approach for mining phenotype descriptions from free text. Our hybrid approach uses an ensemble of four classifiers and experiments with several aggregation techniques. The best scoring technique achieves an F-1 score of 71.52%, which is close to the state-of-the-art in other domains, where training data exists in abundance. Finally, we discuss the influence of the features chosen for the model on the overall performance of the method.

Learning Method, Facilities And Infrastructure, And Learning Resources In Basic Networking For Vocational School

OpenAIRE

Pamungkas, Bian Dwi

2017-01-01

This study aims to examine the contribution of learning methods on learning output, the contribution of facilities and infrastructure on output learning, the contribution of learning resources on learning output, and the contribution of learning methods, the facilities and infrastructure, and learning resources on learning output. The research design is descriptive causative, using a goal-oriented assessment approach in which the assessment focuses on assessing the achievement of a goal. The ...

Using Deep Learning for Gamma Ray Source Detection at the First G-APD Cherenkov Telescope (FACT)

Science.gov (United States)

Bieker, Jacob

2018-06-01

Finding gamma-ray sources is of paramount importance for Imaging Air Cherenkov Telescopes (IACT). This study looks at using deep neural networks on data from the First G-APD Cherenkov Telescope (FACT) as a proof-of-concept of finding gamma-ray sources with deep learning for the upcoming Cherenkov Telescope Array (CTA). In this study, FACT’s individual photon level observation data from the last 5 years was used with convolutional neural networks to determine if one or more sources were present. The neural networks used various architectures to determine which architectures were most successful in finding sources. Neural networks offer a promising method for finding faint and extended gamma-ray sources for IACTs. With further improvement and modifications, they offer a compelling method for source detection for the next generation of IACTs.

Description of the Assessment of Basic Language and Learning Skills Revisited (ABLLS-R

Directory of Open Access Journals (Sweden)

Semenovich M.L.

2015-12-01

Full Text Available Diagnostics and assessment of the functional skills of children with disabilities and autism spectrum disorders are to be conducted to develop comprehensive remedial educational programmes. The described Methodology of the Assessment of Basic Language and Learning Skills — Revisited (ABLLS-R allows to simplify and make the diagnostics more efficient, to conduct a comprehensive examination of the child in different areas of development, detect the formed and deficit skills. The second and final part of the description of the methodology offers recommendations on the filling of the Table of the Results of Initial and Repeated Testing and on the choice of goals of correctional work with a child on the basis of performance of individual test scales. The pattern of the table filled after the initial and repeated testing is given. In drawing up of the programme of individual development the willingness of the child to the development of that skill should be considered. Regular practice of selected skills in various situations and the preventive measures against the regression of skills are also important. Conclusive part. Beginning in № 3 (48, 2015

Enhanced Resource Descriptions Help Learning Matrix Users.

Science.gov (United States)

Roempler, Kimberly S.

2003-01-01

Describes the Learning Matrix digital library which focuses on improving the preparation of math and science teachers by supporting faculty who teach introductory math and science courses in two- and four-year colleges. Suggests it is a valuable resource for school library media specialists to support new science and math teachers. (LRW)

Blind Decoding of Multiple Description Codes over OFDM Systems via Sequential Monte Carlo

Directory of Open Access Journals (Sweden)

Guo Dong

2005-01-01

Full Text Available We consider the problem of transmitting a continuous source through an OFDM system. Multiple description scalar quantization (MDSQ is applied to the source signal, resulting in two correlated source descriptions. The two descriptions are then OFDM modulated and transmitted through two parallel frequency-selective fading channels. At the receiver, a blind turbo receiver is developed for joint OFDM demodulation and MDSQ decoding. Transformation of the extrinsic information of the two descriptions are exchanged between each other to improve system performance. A blind soft-input soft-output OFDM detector is developed, which is based on the techniques of importance sampling and resampling. Such a detector is capable of exchanging the so-called extrinsic information with the other component in the above turbo receiver, and successively improving the overall receiver performance. Finally, we also treat channel-coded systems, and a novel blind turbo receiver is developed for joint demodulation, channel decoding, and MDSQ source decoding.

Leadership, management and teamwork learning through an extra-curricular project for medical students: descriptive study.

Science.gov (United States)

Jorge, Maria Lucia da Silva Germano; Coelho, Izabel Cristina Meister; Paraizo, Mariana Martins; Paciornik, Ester Fogel

2014-01-01

Professionalism in medicine requires preparation for the globalized world. Our objective was to describe a project that introduces medical students to the community, hospital and laboratory activities, thereby allowing them to gain experience in people management, leadership and teamwork. Descriptive study of the process applied at a philanthropic medical school in Curitiba, Paraná. Inclusion of management and leadership practices as part of the medical degree program. The study groups consisted of fifteen students. After six months, any of the participants could be elected as a subcoordinator, with responsibility for managing tasks and representing the team in hospital departments and the community. The activities required increasing levels of responsibility. In medical schools, students' involvement in practical activities is often limited to observation. They are not required to take responsibilities or to interact with other students and stakeholders. However, they will become accountable, which thus has an adverse effect on all involved. The learning space described here aims to fill this gap by bringing students closer to the daily lives and experiences of healthcare professionals. Being a physician requires not only management and leadership, but also transferrable competencies, communication and critical thinking. These attributes can be acquired through experience of teamwork, under qualified supervision from teaching staff. Students are thus expected to develop skills to deal with and resolve conflicts, learn to share leadership, prepare others to help and replace them, adopt an approach based on mutual responsibility and discuss their performance.

Quality of Learning Facilities and Learning Environment: Challenges for Teaching and Learning in Kenya's Public Universities

Science.gov (United States)

Ndirangu, Mwangi; Udoto, Maurice O.

2011-01-01

Purpose: The purpose of this article is to report findings on the perceptions of quality of educational facilities in Kenyan public universities, and the implications for teaching/learning, and the learning environment. Design/methodology/approach: The study adopted an exploratory descriptive design. A total of 332 and 107 undergraduate students…

Experience and Lessons Learned from Conditioning of Spent Sealed Sources in Singapore - 13107

Energy Technology Data Exchange (ETDEWEB)

Hong, Dae-Seok; Kang, Il-Sik; Jang, Kyung-Duk; Jang, Won-Hyuk [Korea Atomic Energy Research Institute, 1045 Daedeokdaero, Yuseong, Daejeon (Korea, Republic of); Hoo, Wee-Teck [National Environment Agency, 40 Scotts Road 228231 (Singapore)

2013-07-01

In 2010, IAEA requested KAERI (Korea Atomic Energy Research Institute) to support Singapore for conditioning spent sealed sources. Those that had been used for a lightning conductor, check source, or smoke detector, various sealed sources had been collected and stored by the NEA (National Environment Agency) in Singapore. Based on experiences for the conditioning of Ra-226 sources in some Asian countries since 2000, KAERI sent an expert team to Singapore for the safe management of spent sealed sources in 2011. As a result of the conditioning, about 575.21 mCi of Am-241, Ra-226, Co-60, and Sr-90 were safely conditioned in 3 concrete lining drums with the cooperation of the KAERI expert team, the IAEA supervisor, the NEA staff and local laborers in Singapore. Some lessons were learned during the operation: (1) preparations by a local authority are very helpful for an efficient operation, (2) a preliminary inspection by an expert team is helpful for the operation, (3) brief reports before and after daily operation are useful for communication, and (4) a training opportunity is required for the sustainability of the expert team. (authors)

The Source for Learning & Memory Strategies.

Science.gov (United States)

Richards, Regina G.

This book is a comprehensive guide to learning and memory strategies for all students and especially those with learning problems. Chapter 1, on memory and the brain, explains brain cells, the cortex, function of the cerebral lobes, and other brain structures. Chapter 2 examines the memory process and discusses sensory memory, short-term memory,…

The Role of Free/Libre and Open Source Software in Learning Health Systems.

Science.gov (United States)

Paton, C; Karopka, T

2017-08-01

Objective: To give an overview of the role of Free/Libre and Open Source Software (FLOSS) in the context of secondary use of patient data to enable Learning Health Systems (LHSs). Methods: We conducted an environmental scan of the academic and grey literature utilising the MedFLOSS database of open source systems in healthcare to inform a discussion of the role of open source in developing LHSs that reuse patient data for research and quality improvement. Results: A wide range of FLOSS is identified that contributes to the information technology (IT) infrastructure of LHSs including operating systems, databases, frameworks, interoperability software, and mobile and web apps. The recent literature around the development and use of key clinical data management tools is also reviewed. Conclusions: FLOSS already plays a critical role in modern health IT infrastructure for the collection, storage, and analysis of patient data. The nature of FLOSS systems to be collaborative, modular, and modifiable may make open source approaches appropriate for building the digital infrastructure for a LHS. Georg Thieme Verlag KG Stuttgart.

Learning: An Evolutionary Analysis

Science.gov (United States)

Swann, Joanna

2009-01-01

This paper draws on the philosophy of Karl Popper to present a descriptive evolutionary epistemology that offers philosophical solutions to the following related problems: "What happens when learning takes place?" and "What happens in human learning?" It provides a detailed analysis of how learning takes place without any direct transfer of…

Managing Nonpoint Source Pollution in Western Washington: Landowner Learning Methods and Motivations

Science.gov (United States)

Ryan, Clare M.

2009-06-01

States, territories, and tribes identify nonpoint source pollution as responsible for more than half of the Nation’s existing and threatened water quality impairments, making it the principal remaining cause of water quality problems across the United States. Combinations of education, technical and financial assistance, and regulatory measures are used to inform landowners about nonpoint source pollution issues, and to stimulate the use of best management practices. A mail survey of non-commercial riparian landowners investigated how they learn about best management practices, the efficacy of different educational techniques, and what motivates them to implement land management activities. Landowners experience a variety of educational techniques, and rank those that include direct personal contact as more effective than brochures, advertisements, radio, internet, or television. The most important motivations for implementing best management practices were linked with elements of a personal stewardship ethic, accountability, personal commitment, and feasibility. Nonpoint source education and social marketing campaigns should include direct interpersonal contacts, and appeal to landowner motivations of caring, responsibility, and personal commitment.

The geometry description markup language

International Nuclear Information System (INIS)

Chytracek, R.

2001-01-01

Currently, a lot of effort is being put on designing complex detectors. A number of simulation and reconstruction frameworks and applications have been developed with the aim to make this job easier. A very important role in this activity is played by the geometry description of the detector apparatus layout and its working environment. However, no real common approach to represent geometry data is available and such data can be found in various forms starting from custom semi-structured text files, source code (C/C++/FORTRAN), to XML and database solutions. The XML (Extensible Markup Language) has proven to provide an interesting approach for describing detector geometries, with several different but incompatible XML-based solutions existing. Therefore, interoperability and geometry data exchange among different frameworks is not possible at present. The author introduces a markup language for geometry descriptions. Its aim is to define a common approach for sharing and exchanging of geometry description data. Its requirements and design have been driven by experience and user feedback from existing projects which have their geometry description in XML

Orbiting transmission source for positron tomography

International Nuclear Information System (INIS)

Huesman, R.H.; Derenzo, S.E.; Cahoon, J.L.; Geyer, A.B.; Moses, W.W.; Uber, D.C.; Vuletich, T.; Budinger, T.F.

1988-01-01

Accidental suppression and effective data rates have been measured for the orbiting transmission source as implemented in the Donner 600-Crystal Positron Tomograph. A mechanical description of the orbiting source and a description of the electronics used to discard scattered and accidental events is included. Since accidental coincidences were the rate-limiting factor in transmission data acquisition, the new method allows us to acquire sufficient transmission data in a shorter time with a more active transmission source

Management of spent high activity radioactive sources (SHARS)

International Nuclear Information System (INIS)

2002-09-01

The objective of this report is to provide all people involved in the handling and management of high activity sources with sufficient information about processes that are required for the safe management of spent high activity radioactive sources (SHARS). This includes examples of spent source management that are already taking place and also a description of the range of appropriate options that are available for each stage in the management process. This report also aims to identify the important issues to be addressed in order to develop a waste management strategy as part of the integrated management strategy that takes account of international experience and the guidance and principles that have been learned from that experience. This report relates specifically to SHARS, which are spent sources that have the potential, with short exposures, to produce acute health effects if handled incorrectly. In addition, they may also incur significant economic costs in any retrieval or environmental remediation operation, following loss of or damage to such a source. The report provides guidance on the technical, administrative and economic issues associated with SHARS from the moment they cease to be in use through to disposal, including temporary storage, transport, conditioning and interim storage

E-learning programs in oncology

DEFF Research Database (Denmark)

Degerfält, Jan; Sjöstedt, Staffan; Fransson, Per

2017-01-01

BACKGROUND: E-learning is an established concept in oncological education and training. However, there seems to be a scarcity of long-term assessments of E-learning programs in oncology vis-á-vis their structural management and didactic value. This study presents descriptive, nationwide data from...... 2005 to 2014. E-learning oncology programs in chemotherapy, general oncology, pain management, palliative care, psycho-social-oncology, and radiotherapy, were reviewed from our databases. Questionnaires of self-perceived didactic value of the programs were examined 2008-2014. RESULTS: The total number.......6% (MDs: 64.9%; RNs: 66.8%; SHCAs: 77.7%) and as good by 30.6% (MDs: 34.5%; RNs: 32.4%; SHCAs: 21.5%) of the responders. CONCLUSIONS: This descriptive study, performed in a lengthy timeframe, presents high-volume data from multi-professional, oncological E-learning programs. While the E-learning paradigm...

Boosting up quantum key distribution by learning statistics of practical single-photon sources

International Nuclear Information System (INIS)

Adachi, Yoritoshi; Yamamoto, Takashi; Koashi, Masato; Imoto, Nobuyuki

2009-01-01

We propose a simple quantum-key-distribution (QKD) scheme for practical single-photon sources (SPSs), which works even with a moderate suppression of the second-order correlation g (2) of the source. The scheme utilizes a passive preparation of a decoy state by monitoring a fraction of the signal via an additional beam splitter and a detector at the sender's side to monitor photon-number splitting attacks. We show that the achievable distance increases with the precision with which the sub-Poissonian tendency is confirmed in higher photon-number distribution of the source, rather than with actual suppression of the multiphoton emission events. We present an example of the secure key generation rate in the case of a poor SPS with g (2) =0.19, in which no secure key is produced with the conventional QKD scheme, and show that learning the photon-number distribution up to several numbers is sufficient for achieving almost the same distance as that of an ideal SPS.

Approaches toward learning in physiotherapy

Directory of Open Access Journals (Sweden)

L. Keiller

2013-11-01

Full Text Available The aim of this study was to investigate the approaches toward learning of undergraduate Physiotherapy students in a PBl module to enhance facilitation of learning at the Stellenbosch University, Division of Physiotherapy in South Africa. This quantitative, descriptive study utilized the revised Two-factor Study Process Questionnaire (r-SPQ-2f to evaluate the study cohorts’ approaches toward learning in the module. results of the data instruments were analysed statistically and discussed in a descriptive manner. There were a statistically significant greater number of students who adopted a deep approach toward learning at the commencement of the academic year. Students showed a trend toward an increase in their intrinsic interest in the learning material as the module progressed. Students in the Applied Physiotherapy module (ATP started to shift their focus from a surface learning approach to a deep learning approach. further research is needed to determine the long-term changes in approach toward learning and the possible determinants of these changes. This can be done in conjunction with the implementation of quality assurance mechanisms for learning material and earlier preparation of students for the change in the learning environment.

Leadership, management and teamwork learning through an extra-curricular project for medical students: descriptive study

Directory of Open Access Journals (Sweden)

Maria Lucia da Silva Germano Jorge

Full Text Available CONTEXT AND OBJECTIVE: Professionalism in medicine requires preparation for the globalized world. Our objective was to describe a project that introduces medical students to the community, hospital and laboratory activities, thereby allowing them to gain experience in people management, leadership and teamwork.DESIGN AND SETTING: Descriptive study of the process applied at a philanthropic medical school in Curitiba, Paraná.METHOD: Inclusion of management and leadership practices as part of the medical degree program.RESULTS: The study groups consisted of fifteen students. After six months, any of the participants could be elected as a subcoordinator, with responsibility for managing tasks and representing the team in hospital departments and the community. The activities required increasing levels of responsibility. In medical schools, students' involvement in practical activities is often limited to observation. They are not required to take responsibilities or to interact with other students and stakeholders. However, they will become accountable, which thus has an adverse effect on all involved. The learning space described here aims to fill this gap by bringing students closer to the daily lives and experiences of healthcare professionals.CONCLUSION: Being a physician requires not only management and leadership, but also transferrable competencies, communication and critical thinking. These attributes can be acquired through experience of teamwork, under qualified supervision from teaching staff. Students are thus expected to develop skills to deal with and resolve conflicts, learn to share leadership, prepare others to help and replace them, adopt an approach based on mutual responsibility and discuss their performance.

40 CFR 418.30 - Applicability; description of the urea subcategory.

Science.gov (United States)

2010-07-01

... 40 Protection of Environment 28 2010-07-01 2010-07-01 true Applicability; description of the urea...) EFFLUENT GUIDELINES AND STANDARDS FERTILIZER MANUFACTURING POINT SOURCE CATEGORY Urea Subcategory § 418.30 Applicability; description of the urea subcategory. The provisions of this subpart are applicable to the...

Does physics instruction foster university students' cognitive processes? : a descriptive study of teacher activities

NARCIS (Netherlands)

Ferguson - Hessler, M.G.M.; Jong, de T.

1993-01-01

This study aims at giving a systematic description of the cognitive activities involved in teaching physics. Such a description of instruction in physics requires a basis in two models, that is, the cognitive activities involved in learning physics and the knowledge base that is the foundation of

Search for gamma-ray emitting AGN among unidentified Fermi-LAT sources using machine learning algorithms

Energy Technology Data Exchange (ETDEWEB)

Doert, Marlene [Technische Universitaet Dortmund (Germany); Ruhr-Universitaet Bochum (Germany); Einecke, Sabrina [Technische Universitaet Dortmund (Germany); Errando, Manel [Barnard College, Columbia University, New York City (United States)

2015-07-01

The second Fermi-LAT source catalog (2FGL) is the deepest all-sky survey of the gamma-ray sky currently available to the community. Out of the 1873 catalog sources, 576 remain unassociated. We present a search for active galactic nuclei (AGN) among these unassociated objects, which aims at a reduction of the number of unassociated gamma-ray sources and a more complete characterization of the population of gamma-ray emitting AGN. Our study uses two complimentary machine learning algorithms which are individually trained on the gamma-ray properties of associated 2FGL sources and thereafter applied to the unassociated sample. The intersection of the two methods yields a high-confidence sample of 231 AGN candidate sources. We estimate the performance of the classification by taking inherent differences between the samples of associated and unassociated 2FGL sources into account. A search for infra-red counterparts and first results from follow-up studies in the X-ray band using Swift satellite data for a subset of our AGN candidates are also presented.

Technical Evaluation Report 24: Open Source Software: an alternative to costly Learning Management Systems

Directory of Open Access Journals (Sweden)

Jim Depow

2003-10-01

Full Text Available This is the first in a series of two reports discussing the use of open source software (OSS and free software (FS in online education as an alternative to expensive proprietary software. It details the steps taken in a Canadian community college to download and install the Linux Operating System in order to support an OSS/ FS learning management system (LMS.

Item Strength Influences Source Confidence and Alters Source Memory zROC Slopes

Science.gov (United States)

Starns, Jeffrey J.; Ksander, John C.

2016-01-01

Increasing the number of study trials creates a crossover pattern in source memory zROC slopes; that is, the slope is either below or above 1 depending on which source receives stronger learning. This pattern can be produced if additional learning affects memory processes such as the relative contribution of recollection and familiarity to source…

Manufacturing of large size RF based -ve ion source with 8 drivers-challenges and learnings

International Nuclear Information System (INIS)

Joshi, Jaydeep; Patel, Hitesh; Singh, Mahendrajit; Bandyopadhyay, Mainak; Chakraborty, Arun

2017-01-01

Radio Frequency (RF) Ion Source for ITER Diagnostic Neutral Beam (DNB) system, is an 8 driver based ion source, where the desired plasma density is produced by inductive coupling of RF power. The present paper describes the experience of developing a manufacturing design to meet the above mentioned requirements, feasibility assessment, prototyping carried out, parallel experiments in support of manufacturing and realization of sub-components along with their quality inspections activities performed. Additionally, paper also presents to the observations in terms of deviations and non-conformities encountered, as a part of learning for the future components

Learning models for multi-source integration

Energy Technology Data Exchange (ETDEWEB)

Tejada, S.; Knoblock, C.A.; Minton, S. [Univ. of Southern California/ISI, Marina del Rey, CA (United States)

1996-12-31

Because of the growing number of information sources available through the internet there are many cases in which information needed to solve a problem or answer a question is spread across several information sources. For example, when given two sources, one about comic books and the other about super heroes, you might want to ask the question {open_quotes}Is Spiderman a Marvel Super Hero?{close_quotes} This query accesses both sources; therefore, it is necessary to have information about the relationships of the data within each source and between sources to properly access and integrate the data retrieved. The SIMS information broker captures this type of information in the form of a model. All the information sources map into the model providing the user a single interface to multiple sources.

Metodologi Pemecahan Masalah Analisis dan Evaluasi Open Source untuk Perusahaan: Sample Case E-Learning System

Directory of Open Access Journals (Sweden)

Win Ce

2011-12-01

Full Text Available High increment of information system needs for company goes in line with the high demands of increasingly competitive and rivalry of industry. Corporate investment needs automatically increase to meet the demanding needs of this system. New developments in systems and technology can not be ignored by companies because it gives a very high economic boost in the competition. On the other hand, in line with the development of information systems is the development of Open Source applications as a cheaper alternative for enterprise use. With so many alternative of Open Sources requires companies to be more observant of selecting the best applications that meet the company needs and can be quickly implemented. This study presents the best approaches to select the best Open Source applications for companies, such as literature review, implementation and evaluation of e-learning Open Source application. 

Sources for charged particles; Les sources de particules chargees

Energy Technology Data Exchange (ETDEWEB)

Arianer, J.

1997-09-01

This document is a basic course on charged particle sources for post-graduate students and thematic schools on large facilities and accelerator physics. A simple but precise description of the creation and the emission of charged particles is presented. This course relies on every year upgraded reference documents. Following relevant topics are considered: electronic emission processes, technological and practical considerations on electron guns, positron sources, production of neutral atoms, ionization, plasma and discharge, different types of positive and negative ion sources, polarized particle sources, materials for the construction of ion sources, low energy beam production and transport. (N.T.).

Learning Together and Working Apart: Routines for Organizational Learning in Virtual Teams

Science.gov (United States)

Dixon, Nancy

2017-01-01

Purpose: Research suggests that teaming routines facilitate learning in teams. This paper identifies and details how specific teaming routines, implemented in a virtual team, support its continual learning. The study's focus was to generate authentic and descriptive accounts of the interviewees' experiences with virtual teaming routines.…

40 CFR 415.270 - Applicability; description of the borax production subcategory.

Science.gov (United States)

2010-07-01

... 40 Protection of Environment 28 2010-07-01 2010-07-01 true Applicability; description of the borax... (CONTINUED) EFFLUENT GUIDELINES AND STANDARDS INORGANIC CHEMICALS MANUFACTURING POINT SOURCE CATEGORY Borax Production Subcategory § 415.270 Applicability; description of the borax production subcategory. The...

A Hybrid, Current-Source/Voltage-Source Power Inverter Circuit

DEFF Research Database (Denmark)

Trzynadlowski, Andrzej M.; Patriciu, Niculina; Blaabjerg, Frede

2001-01-01

A combination of a large current-source inverter and a small voltage-source inverter circuits is analyzed. The resultant hybrid inverter inherits certain operating advantages from both the constituent converters. In comparison with the popular voltage-source inverter, these advantages include...... reduced switching losses, improved quality of output current waveforms, and faster dynamic response to current control commands. Description of operating principles and characteristics of the hybrid inverter is illustrated with results of experimental investigation of a laboratory model....

Timing matters: negative emotion elicited 5 min but not 30 min or 45 min after learning enhances consolidation of internal-monitoring source memory.

Science.gov (United States)

Wang, Bo; Bukuan, Sun

2015-05-01

Two experiments examined the time-dependent effects of negative emotion on consolidation of item and internal-monitoring source memory. In Experiment 1, participants (n=121) learned a list of words. They were asked to read aloud half of the words and to think about the remaining half. They were instructed to memorize each word and its associative cognitive operation ("reading" versus "thinking"). Immediately following learning they conducted free recall and then watched a 3-min either neutral or negative video clip when 5 min, 30 min or 45 min had elapsed after learning. Twenty-four hours later they returned to take surprise tests for item and source memory. Experiment 2 was similar to Experiment 1 except that participants, without conducting an immediate test of free recall, took tests of source memory for all encoded words both immediately and 24 h after learning. Experiment 1 showed that negative emotion enhanced consolidation of item memory (as measured by retention ratio of free recall) regardless of delay of emotion elicitation and that negative emotion enhanced consolidation of source memory when it was elicited at a 5 min delay but reduced consolidation of source memory when it was elicited at a 30 min delay; when elicited at a 45 min delay, negative emotion had little effect. Furthermore, Experiment 2 replicated the enhancement effect on source memory in the 5 min delay even when participants were tested on all the encoded words. The current study partially replicated prior studies on item memory and extends the literature by providing evidence for a time-dependent effect of negative emotion on consolidation of source memory based on internal monitoring. Copyright © 2015 Elsevier B.V. All rights reserved.

Game-Based Learning: Increasing the Logical-Mathematical, Naturalistic, and Linguistic Learning Levels of Primary School Students

Directory of Open Access Journals (Sweden)

María Esther Del Moral Pérez

2018-01-01

Full Text Available Game-based learning is an innovative methodology that takes advantage of the educational potential offered by videogames in general and serious games in particular to boost training processes, thus making it easier for users to achieve motivated learning. The present paper focuses on the description of the Game to Learn Project, which has as its aim not only to promote the use of serious games and digital mini-games for the development of Multiple Intelligences, but also to analyse whether this methodology results in increased learning. Teachers assessed the level achieved by primary education students (N=119 in each learning category, before and after participating in the project, by means of a qualitative instrument. Finally, after corresponding analysis through descriptive statistical techniques, bivariate correlations, and ANOVA, the results showed significant differences between children’s learning levels in logical-mathematical, naturalistic and linguistic abilities before and after their participation in this innovative project, thus revealing a widespread increase in every indicator.

Code-Mixing and Code Switchingin The Process of Learning

Directory of Open Access Journals (Sweden)

Diyah Atiek Mustikawati

2016-09-01

Full Text Available This study aimed to describe a form of code switching and code mixing specific form found in the teaching and learning activities in the classroom as well as determining factors influencing events stand out that form of code switching and code mixing in question.Form of this research is descriptive qualitative case study which took place in Al Mawaddah Boarding School Ponorogo. Based on the analysis and discussion that has been stated in the previous chapter that the form of code mixing and code switching learning activities in Al Mawaddah Boarding School is in between the use of either language Java language, Arabic, English and Indonesian, on the use of insertion of words, phrases, idioms, use of nouns, adjectives, clauses, and sentences. Code mixing deciding factor in the learning process include: Identification of the role, the desire to explain and interpret, sourced from the original language and its variations, is sourced from a foreign language. While deciding factor in the learning process of code, includes: speakers (O1, partners speakers (O2, the presence of a third person (O3, the topic of conversation, evoke a sense of humour, and just prestige. The significance of this study is to allow readers to see the use of language in a multilingual society, especially in AL Mawaddah boarding school about the rules and characteristics variation in the language of teaching and learning activities in the classroom. Furthermore, the results of this research will provide input to the ustadz / ustadzah and students in developing oral communication skills and the effectiveness of teaching and learning strategies in boarding schools.

Radio Galaxy Zoo: compact and extended radio source classification with deep learning

Science.gov (United States)

Lukic, V.; Brüggen, M.; Banfield, J. K.; Wong, O. I.; Rudnick, L.; Norris, R. P.; Simmons, B.

2018-05-01

Machine learning techniques have been increasingly useful in astronomical applications over the last few years, for example in the morphological classification of galaxies. Convolutional neural networks have proven to be highly effective in classifying objects in image data. In the context of radio-interferometric imaging in astronomy, we looked for ways to identify multiple components of individual sources. To this effect, we design a convolutional neural network to differentiate between different morphology classes using sources from the Radio Galaxy Zoo (RGZ) citizen science project. In this first step, we focus on exploring the factors that affect the performance of such neural networks, such as the amount of training data, number and nature of layers, and the hyperparameters. We begin with a simple experiment in which we only differentiate between two extreme morphologies, using compact and multiple-component extended sources. We found that a three-convolutional layer architecture yielded very good results, achieving a classification accuracy of 97.4 per cent on a test data set. The same architecture was then tested on a four-class problem where we let the network classify sources into compact and three classes of extended sources, achieving a test accuracy of 93.5 per cent. The best-performing convolutional neural network set-up has been verified against RGZ Data Release 1 where a final test accuracy of 94.8 per cent was obtained, using both original and augmented images. The use of sigma clipping does not offer a significant benefit overall, except in cases with a small number of training images.

Major Assumptions of Mastery Learning.

Science.gov (United States)

Anderson, Lorin W.

Mastery learning can be described as a set of group-based, individualized, teaching and learning strategies based on the premise that virtually all students can and will, in time, learn what the school has to teach. Inherent in this description are assumptions concerning the nature of schools, classroom instruction, and learners. According to the…

Simulation framework and XML detector description for the CMS experiment

CERN Document Server

Arce, P; Boccali, T; Case, M; de Roeck, A; Lara, V; Liendl, M; Nikitenko, A N; Schröder, M; Strässner, A; Wellisch, H P; Wenzel, H

2003-01-01

Currently CMS event simulation is based on GEANT3 while the detector description is built from different sources for simulation and reconstruction. A new simulation framework based on GEANT4 is under development. A full description of the detector is available, and the tuning of the GEANT4 performance and the checking of the ability of the physics processes to describe the detector response is ongoing. Its integration on the CMS mass production system and GRID is also currently under development. The Detector Description Database project aims at providing a common source of information for Simulation, Reconstruction, Analysis, and Visualisation, while allowing for different representations as well as specific information for each application. A functional prototype, based on XML, is already released. Also examples of the integration of DDD in the GEANT4 simulation and in the reconstruction applications are provided.

The role of XML in the CMS detector description

International Nuclear Information System (INIS)

Liendl, M.; Lingen, F.van; Todorov, T.; Arce, P.; Furtjes, A.; Innocente, V.; Roeck, A. de; Case, M.

2001-01-01

Offline Software such as Simulation, Reconstruction, Analysis, and Visualisation are all in need of a detector description. These applications have several common but also many specific requirements for the detector description in order to build up their internal representations. To achieve this in a consistent and coherent manner a common source of information, the detector description database, will be consulted by each of the applications. The role and suitability of XML in the design of the detector description database in the scope of the CMS detector at the LHC is discussed. Different aspects such as data modelling capabilities of XML, tool support, integration to C++ representations of data models are treated and recent results of prototype implementations are presented

40 CFR 407.20 - Applicability; description of the apple products subcategory.

Science.gov (United States)

2010-07-01

... 40 Protection of Environment 28 2010-07-01 2010-07-01 true Applicability; description of the apple... SOURCE CATEGORY Apple Products Subcategory § 407.20 Applicability; description of the apple products... apples into apple products. The processing of apples into caustic peeled or dehydrated products is...

Teaching and Learning Hand in Hand: Adaptive Teaching and Self-Regulated Learning

Science.gov (United States)

Randi, Judi

2017-01-01

This article presents case studies of two novice teachers and their mentors who, without formal knowledge of self-regulation theory, established a classroom environment that promoted self-regulated learning. This case was drawn from a larger descriptive study of novice teachers learning to integrate a student-centered visual literacy instructional…

Communicating Science to Impact Learning? A Phenomenological Inquiry into 4th and 5th Graders' Perceptions of Science Information Sources

Science.gov (United States)

Gelmez Burakgazi, Sevinc; Yildirim, Ali; Weeth Feinstein, Noah

2016-04-01

Rooted in science education and science communication studies, this study examines 4th and 5th grade students' perceptions of science information sources (SIS) and their use in communicating science to students. It combines situated learning theory with uses and gratifications theory in a qualitative phenomenological analysis. Data were gathered through classroom observations and interviews in four Turkish elementary schools. Focus group interviews with 47 students and individual interviews with 17 teachers and 10 parents were conducted. Participants identified a wide range of SIS, including TV, magazines, newspapers, internet, peers, teachers, families, science centers/museums, science exhibitions, textbooks, science books, and science camps. Students reported using various SIS in school-based and non-school contexts to satisfy their cognitive, affective, personal, and social integrative needs. SIS were used for science courses, homework/project assignments, examination/test preparations, and individual science-related research. Students assessed SIS in terms of the perceived accessibility of the sources, the quality of the content, and the content presentation. In particular, some sources such as teachers, families, TV, science magazines, textbooks, and science centers/museums ("directive sources") predictably led students to other sources such as teachers, families, internet, and science books ("directed sources"). A small number of sources crossed context boundaries, being useful in both school and out. Results shed light on the connection between science education and science communication in terms of promoting science learning.

Miniature neutron sources: Thermal neutron sources and their users in the academic field

International Nuclear Information System (INIS)

Egelstaff, P.A.

1992-01-01

The three levels of thermal neutron sources are introduced - University laboratory sources infrastructure sources and world-class sources - and the needs for each kind and their inter-dependence will be emphasized. A description of the possibilities for University sources based on α-Be reactions or spontaneous fission emission is given, and current experience with them is described. A new generation of infrastructure sources is needed to continue the regional programs based on small reactors. Some possibilities for accelerator sources that could meet this need are considered

Transfer of learning between 2D and 3D sources during infancy: Informing theory and practice.

Science.gov (United States)

Barr, Rachel

2010-06-01

The ability to transfer learning across contexts is an adaptive skill that develops rapidly during early childhood. Learning from television is a specific instance of transfer of learning between a 2-Dimensional (2D) representation and a 3-Dimensional (3D) object. Understanding the conditions under which young children might accomplish this particular kind of transfer is important because by 2 years of age 90% of US children are viewing television on a daily basis. Recent research shows that children can imitate actions presented on television using the corresponding real-world objects, but this same research also shows that children learn less from television than they do from live demonstrations until they are at least 3 years old; termed the video deficit effect. At present, there is no coherent theory to account for the video deficit effect; how learning is disrupted by this change in context is poorly understood. The aims of the present review are (1) to review the conditions under which children transfer learning between 2D images and 3D objects during early childhood, and (2) to integrate developmental theories of memory processing into the transfer of learning from media literature using Hayne's (2004) developmental representational flexibility account. The review will conclude that studies on the transfer of learning between 2D and 3D sources have important theoretical implications for general developmental theories of cognitive development, and in particular the development of a flexible representational system, as well as policy implications for early education regarding the potential use and limitations of media as effective teaching tools during early childhood.

40 CFR 407.10 - Applicability; description of the apple juice subcategory.

Science.gov (United States)

2010-07-01

... 40 Protection of Environment 28 2010-07-01 2010-07-01 true Applicability; description of the apple... SOURCE CATEGORY Apple Juice Subcategory § 407.10 Applicability; description of the apple juice... apples into apple juice or apple cider. When a plant is subject to effluent limitations covering more...

Alternate Reality Games as an Informal Learning Tool for Generating STEM Engagement among Underrepresented Youth: a Qualitative Evaluation of the Source

Science.gov (United States)

Gilliam, Melissa; Jagoda, Patrick; Fabiyi, Camille; Lyman, Phoebe; Wilson, Claire; Hill, Brandon; Bouris, Alida

2017-06-01

This project developed and studied The Source, an alternate reality game (ARG) designed to foster interest and knowledge related to science, technology, engineering, and math (STEM) among youth from populations underrepresented in STEM fields. ARGs are multiplayer games that engage participants across several media such as shared websites, social media, personal communications, and real-world settings to complete activities and collaborate with team members. The Source was a five-week summer program with 144 participants from Chicago aged 13 to 18 years. The Source incorporated six socio-contextual factors derived from three frameworks: Chang's (ERIC Digest, 2002) recommendations for engaging underrepresented populations in STEM careers, Lave and Wenger's (Cambridge University Press, 1991) situated learning model, and Barron's (Human Development, 49(4); 193-224, 2006) learning ecology perspective. These factors aligned with the program's aims of promoting (1) social community and peer support, (2) collaboration and teamwork, (3) real-world relevance and investigative learning, (4) mentoring and exposure to STEM professionals, (5) hands-on activities to foster transferable skill building, and (6) interface with technology. This paper presents results from 10 focus groups and 10 individual interviews conducted with a subset of the 144 youth participants who completed the game. It describes how these six factors were realized through The Source and uses them as a lens for considering how The Source functioned pedagogically. Qualitative findings describe youth's perception of The Source's potential influence on STEM interest, engagement, and identity formation. Despite limitations, study results indicate that underrepresented youth can engage in an immersive, narrative, and game-based experience as a potential mechanism for piquing and developing STEM interest and skills, particularly among underrepresented youth.

Suicide prevention e-learning modules designed for gatekeepers: A descriptive review

NARCIS (Netherlands)

Ghoncheh, R.; Kerkhof, A.; Koot, H.M.

2014-01-01

Background: E-learning modules can be a useful method for educating gatekeepers in suicide prevention and awareness. Aims: To review and provide an overview of e-learning modules on suicide prevention designed for gatekeepers and assess their effectiveness. Method: Two strategies were used. First,

Suicide prevention e-learning modules designed for gatekeepers: a descriptive review.

Science.gov (United States)

Ghoncheh, Rezvan; Koot, Hans M; Kerkhof, Ad J F M

2014-01-01

E-learning modules can be a useful method for educating gatekeepers in suicide prevention and awareness. To review and provide an overview of e-learning modules on suicide prevention designed for gatekeepers and assess their effectiveness. Two strategies were used. First, articles were systematically searched in databases of PubMed, Web of Science, and PsycINFO. Second, Google search was used to find e-learning modules on the Web. The literature search resulted in 448 papers, of which none met the inclusion criteria of this study. The Google search resulted in 130 hits, of which 23 met the inclusion criteria of this review. Organizations that owned the modules were contacted, of which 13 responded and nine were included in this study. The effectiveness of two e-learning modules is currently being tested in a randomized controlled trial (RCT), one organization is planning to test the effectiveness of their module, and one organization has compared their face-to-face training with their online training. Furthermore, the included modules have different characteristics. There is a need for RCTs to study the effectiveness of online modules in this area and to understand which characteristics are essential to create effective e-learning modules to educate gatekeepers in suicide prevention.

Source apportionment using LOTOS-EUROS: module description and evaluation

Directory of Open Access Journals (Sweden)

R. Kranenburg

2013-06-01

Full Text Available To design effective mitigation strategies, the origin of emissions which produce air pollutants needs to be known. Contributors to air pollutants can be emission sources, like road traffic or industry, but also be more specified to emission from one location or from a specified time. Chemistry transport models can be used to assess the origin of air pollution across a large domain. However, in traditional simulations the information on origin is lost and brute force scenario studies are performed to assess the origin. Alternatively, one can trace the origin of air pollutants throughout a simulation using a labeling approach. In this paper we document and demonstrate a newly developed labeling module for the chemistry transport model LOTOS-EUROS which tracks the source allocation for all particulate matter components and precursor gases. Dedicated simulations confirmed that the new module functions correctly. The new module provides more accurate information about the source contributions than using a brute force approach with scenario runs as the chemical regime remains unchanged. An important advantage of the new module is the reduction of computation costs and analysis work associated with the calculations. The new module was applied to assess the origin of particulate nitrate across the Netherlands. Averaged across the Dutch territory, the main contributions to nitrate are derived from road and non-road transport as well as power plants. Overall, only one-fifth of the concentration derived from sources located inside the country. The new technology enables new research directions as improved information on pollution origin is desired for policy support as well as scientific applications.

English Grammar Comparison:Descriptive Grammar vs. Prescriptive Grammar

Institute of Scientific and Technical Information of China (English)

ZHANG Jing-wen; LI Yi-an

2015-01-01

English grammar is thought as one of the most important parts in both language learning and teaching. While few peo⁃ple know there is more than one kind of English grammar. This essay provides the features and comparison between two com⁃monly used English grammar, namely descriptive grammar and prescriptive grammar, and assist English teachers to explore further in grammar teaching.

Radio Galaxy Zoo: Machine learning for radio source host galaxy cross-identification

Science.gov (United States)

Alger, M. J.; Banfield, J. K.; Ong, C. S.; Rudnick, L.; Wong, O. I.; Wolf, C.; Andernach, H.; Norris, R. P.; Shabala, S. S.

2018-05-01

We consider the problem of determining the host galaxies of radio sources by cross-identification. This has traditionally been done manually, which will be intractable for wide-area radio surveys like the Evolutionary Map of the Universe (EMU). Automated cross-identification will be critical for these future surveys, and machine learning may provide the tools to develop such methods. We apply a standard approach from computer vision to cross-identification, introducing one possible way of automating this problem, and explore the pros and cons of this approach. We apply our method to the 1.4 GHz Australian Telescope Large Area Survey (ATLAS) observations of the Chandra Deep Field South (CDFS) and the ESO Large Area ISO Survey South 1 (ELAIS-S1) fields by cross-identifying them with the Spitzer Wide-area Infrared Extragalactic (SWIRE) survey. We train our method with two sets of data: expert cross-identifications of CDFS from the initial ATLAS data release and crowdsourced cross-identifications of CDFS from Radio Galaxy Zoo. We found that a simple strategy of cross-identifying a radio component with the nearest galaxy performs comparably to our more complex methods, though our estimated best-case performance is near 100 per cent. ATLAS contains 87 complex radio sources that have been cross-identified by experts, so there are not enough complex examples to learn how to cross-identify them accurately. Much larger datasets are therefore required for training methods like ours. We also show that training our method on Radio Galaxy Zoo cross-identifications gives comparable results to training on expert cross-identifications, demonstrating the value of crowdsourced training data.

An open-source solution for advanced imaging flow cytometry data analysis using machine learning.

Science.gov (United States)

Hennig, Holger; Rees, Paul; Blasi, Thomas; Kamentsky, Lee; Hung, Jane; Dao, David; Carpenter, Anne E; Filby, Andrew

2017-01-01

Imaging flow cytometry (IFC) enables the high throughput collection of morphological and spatial information from hundreds of thousands of single cells. This high content, information rich image data can in theory resolve important biological differences among complex, often heterogeneous biological samples. However, data analysis is often performed in a highly manual and subjective manner using very limited image analysis techniques in combination with conventional flow cytometry gating strategies. This approach is not scalable to the hundreds of available image-based features per cell and thus makes use of only a fraction of the spatial and morphometric information. As a result, the quality, reproducibility and rigour of results are limited by the skill, experience and ingenuity of the data analyst. Here, we describe a pipeline using open-source software that leverages the rich information in digital imagery using machine learning algorithms. Compensated and corrected raw image files (.rif) data files from an imaging flow cytometer (the proprietary .cif file format) are imported into the open-source software CellProfiler, where an image processing pipeline identifies cells and subcellular compartments allowing hundreds of morphological features to be measured. This high-dimensional data can then be analysed using cutting-edge machine learning and clustering approaches using "user-friendly" platforms such as CellProfiler Analyst. Researchers can train an automated cell classifier to recognize different cell types, cell cycle phases, drug treatment/control conditions, etc., using supervised machine learning. This workflow should enable the scientific community to leverage the full analytical power of IFC-derived data sets. It will help to reveal otherwise unappreciated populations of cells based on features that may be hidden to the human eye that include subtle measured differences in label free detection channels such as bright-field and dark-field imagery

Game-Based Learning: Increasing the Logical-Mathematical, Naturalistic, and Linguistic Learning Levels of Primary School Students

Science.gov (United States)

del Moral Pérez, M. Esther; Duque, Alba P. Guzmán; García, L. Carlota Fernández

2018-01-01

Game-based learning is an innovative methodology that takes advantage of the educational potential offered by videogames in general and serious games in particular to boost training processes, thus making it easier for users to achieve motivated learning. The present paper focuses on the description of the Game to Learn Project, which has as its…

Intensive care nursing students' perceptions of simulation for learning confirming communication skills: A descriptive qualitative study.

Science.gov (United States)

Karlsen, Marte-Marie Wallander; Gabrielsen, Anita Kristin; Falch, Anne Lise; Stubberud, Dag-Gunnar

2017-10-01

The aim of this study was to explore intensive care nursing students experiences with confirming communication skills training in a simulation-based environment. The study has a qualitative, exploratory and descriptive design. The participants were students in a post-graduate program in intensive care nursing, that had attended a one day confirming communication course. Three focus group interviews lasting between 60 and 80min were conducted with 14 participants. The interviews were transcribed verbatim. Thematic analysis was performed, using Braun & Clark's seven steps. The analysis resulted in three main themes: "awareness", "ice-breaker" and "challenging learning environment". The participants felt that it was a challenge to see themselves on the video-recordings afterwards, however receiving feedback resulted in better self-confidence in mastering complex communication. The main finding of the study is that the students reported improved communication skills after the confirming communication course. However; it is uncertain how these skills can be transferred to clinical practice improving patient outcomes. Copyright © 2017 Elsevier Ltd. All rights reserved.

OPTIMALISASI PEMBELAJARAN TEMATIK BERBASIS EXPERIENTIAL LEARNING UNTUK MADRASAH IBTIDAIYAH

Directory of Open Access Journals (Sweden)

Atikah Syamsi

2014-06-01

Full Text Available ABSTRACTAmong alternative learning can be used to answer one of the problems in education related to the learning experience is to use the model of experiential learning that is almost similar to a scientific approach in thematic learning . Where thematic learning is more emphasis on the application of the concept of learning by doing something ( learning by doing . Therefore , teachers need to package or design a learning experience that would affect the significance of student learning. Learning experiences that demonstrate this relationship conceptual elements make the learning process more effective. Conceptual connection between subjects studied and will form the scheme , so that students will acquire knowledge of the unity and unanimity . Additionally , with the implementation of thematic learning in elementary school will help students , because according to the stage of development of students who still see everything as a whole (holistic.This research is a field (field research is research by going directly to research places to observe and engage directly with the object of research . Type of research is qualitative research with inductive logic thinking . Sources of data in the study is the subject of where the data was obtained , the determination of the data is obtained by applying the population , meaning that the entire party in the role of research as a research target . Given in this study used a qualitative approach , the data analysis starts from the ground by using descriptive analytic method that is compiled by describing , interpreting data and analyzing all the things that are the focus of this researchKeywords : Experiential Learning, Thematic Learning,  Elementary School

Description of quantum states using in free space optic communication

Science.gov (United States)

Kučera, Petr

2017-11-01

In the article we concentrate our attention on the quantum description of states which are prepared by light sources. The main goal of the article is the determination of density matrix of background radiation source. It is shown that these matrix elements satisfy Geometric distribution in the number state representation.

Rational and Mechanistic Perspectives on Reinforcement Learning

Science.gov (United States)

Chater, Nick

2009-01-01

This special issue describes important recent developments in applying reinforcement learning models to capture neural and cognitive function. But reinforcement learning, as a theoretical framework, can apply at two very different levels of description: "mechanistic" and "rational." Reinforcement learning is often viewed in mechanistic terms--as…

Background information on sources of low-level radionuclide emissions to air

International Nuclear Information System (INIS)

Corbit, C.D.; Herrington, W.N.; Higby, D.P.; Stout, L.A.; Corley, J.P.

1983-09-01

This report provides a general description and reported emissions for eight low-level radioactive source categories, including facilties that are licensed by the Nuclear Regulatory Commission (NRC) and Agreement States, and non-Department of Energy (DOE) federal facilities. The eight categories of low-level radioactive source facilities covered by this report are: research and test reactors, accelerators, the radiopharmaceutical industry, source manufacturers, medical facilities, laboratories, naval shipyards, and low-level commercial waste disposal sites. Under each category five elements are addressed: a general description, a facility and process description, the emission control systems, a site description, and the radionuclides released to air (from routine operations)

Background information on sources of low-level radionuclide emissions to air

Energy Technology Data Exchange (ETDEWEB)

Corbit, C.D.; Herrington, W.N.; Higby, D.P.; Stout, L.A.; Corley, J.P.

1983-09-01

This report provides a general description and reported emissions for eight low-level radioactive source categories, including facilties that are licensed by the Nuclear Regulatory Commission (NRC) and Agreement States, and non-Department of Energy (DOE) federal facilities. The eight categories of low-level radioactive source facilities covered by this report are: research and test reactors, accelerators, the radiopharmaceutical industry, source manufacturers, medical facilities, laboratories, naval shipyards, and low-level commercial waste disposal sites. Under each category five elements are addressed: a general description, a facility and process description, the emission control systems, a site description, and the radionuclides released to air (from routine operations).

Exploring sources of knowledge utilized in practice among Jordanian registered nurses.

Science.gov (United States)

Al-Ghabeesh, Suhair Husni; Abu-Moghli, Fathieh; Salsali, Mahvash; Saleh, Mohammad

2013-10-01

Understanding sources of knowledge used in everyday practice is very helpful in improving the quality of health care services. There is a consensus in the literature that nurses mostly relied in their practice on experiential knowledge gained through their interactions with other members of health care professionals and patients. The general aim of this study is to explore the sources of knowledge Jordanian registered nurses use during their practice. A descriptive correlational design was used to collect data from 539 Jordanian registered nurses from 10 hospitals using a self-administered questionnaire. The mean year of experience of the sample was 7.08 years. Of the 615 questionnaires distributed, 555 were returned. This yields a response rate of 87.6%. Results revealed that the top five ranked sources used by Jordanian registered nurses include: the information that nurses learned during nursing education, personal experience in nursing over time, what was learned through providing care to patients, information gained through discussion between physicians and nurses about patients, and information from policy and procedure manuals. Jordanian registered nurses recognize the value of research and that research utilization (RU) is an important issue and must not be ignored. The study has many implications for practice, education and research. Health care managers and decision makers need to play a more visible and instrumental role in encouraging RU to improve patients' quality of life. © 2012 John Wiley & Sons Ltd.

Visuo-spatial knowledge acquisition in individuals with Down syndrome: The role of descriptions and sketch maps.

Science.gov (United States)

Meneghetti, Chiara; Lanfranchi, Silvia; Carretti, Barbara; Toffalini, Enrico

2017-04-01

Few studies on individuals with Down syndrome (DS) have explored how they learn space. The present study examines space learning from verbal descriptions in individuals with DS, and explores the role of external cues (such as a sketch map). Twenty-eight individuals with DS and 28 matched typically-developing (TD) children listened to route or survey descriptions with or without seeing a corresponding sketch map (Description+Sketch Map [D+SM] and Description alone [D], respectively). After hearing each description, they performed tasks that involved recognizing, arranging sequentially, and locating landmarks. The results showed that individuals with DS performed less well in recognizing landmarks and arranging them sequentially. The D+SM condition produced general benefits in both groups' accuracy, though the improvement in locating landmarks was greater in the TD than in the DS group. In both groups, the D+SM condition prompted a better performance than the D condition when participants arranged landmarks sequentially after hearing a description from a route perspective, but not from a survey perspective. Overall, our results show that individuals with DS benefited when a spatial description was associated with a corresponding sketch map, albeit to a lesser degree than TD children. The findings are discussed in the light of the literature on DS and on spatial cognition in the TD domain. Copyright © 2017 Elsevier Ltd. All rights reserved.

Production Logistics Simulation Supported by Process Description Languages

Directory of Open Access Journals (Sweden)

Bohács Gábor

2016-03-01

Full Text Available The process description languages are used in the business may be useful in the optimization of logistics processes too. The process description languages would be the obvious solution for process control, to handle the main sources of faults and to give a correct list of what to do during the logistics process. Related to this, firstly, the paper presents the main features of the frequent process description languages. The following section describes the currently most used process modelling languages, in the areas of production and construction logistics. In addition, the paper gives some examples of logistics simulation, as another very important field of logistics system modelling. The main edification of the paper, the logistics simulation supported by process description languages. The paper gives a comparison of a Petri net formal representation and a Simul8 model, through a construction logistics model, as the major contribution of the research.

NOAA/NOS and USCGS Seabed Descriptions from Hydrographic Surveys

Data.gov (United States)

National Oceanic and Atmospheric Administration, Department of Commerce — The NOAA/NOS and USCGS Seabed Descriptions from Hydrographic Surveys database is a compilation of surficial sediment composition from multiple sources for over...

Learning Goals Achievement of a Teacher in Professional Development

Directory of Open Access Journals (Sweden)

Siti Marfu’ah

2017-04-01

Full Text Available This study aimed to describe the achievement of teacher learning in cognitive, affective and psychomotor in conducting professional development. This study was categorized as a descriptive study. The respondents of this study were teachers and students in the Department of Electrical Engineering at a Vocational Secondary School in Bangka Belitung. Methods of data collection used questionnaires. The data were analyzed with descriptive analysis. The results of this study consisted of: (1 teachers’ opinion, most teachers had worked very well in learning of cognitive, affective, and psychomotor, (2 students’ opinion, several teachers had succeeded in cognitive learning, and managed very well on affective and psychomotor learning.

DeltaSA tool for source apportionment benchmarking, description and sensitivity analysis

Science.gov (United States)

Pernigotti, D.; Belis, C. A.

2018-05-01

DeltaSA is an R-package and a Java on-line tool developed at the EC-Joint Research Centre to assist and benchmark source apportionment applications. Its key functionalities support two critical tasks in this kind of studies: the assignment of a factor to a source in factor analytical models (source identification) and the model performance evaluation. The source identification is based on the similarity between a given factor and source chemical profiles from public databases. The model performance evaluation is based on statistical indicators used to compare model output with reference values generated in intercomparison exercises. The references values are calculated as the ensemble average of the results reported by participants that have passed a set of testing criteria based on chemical profiles and time series similarity. In this study, a sensitivity analysis of the model performance criteria is accomplished using the results of a synthetic dataset where "a priori" references are available. The consensus modulated standard deviation punc gives the best choice for the model performance evaluation when a conservative approach is adopted.

The Development of Teaching and Learning Innovation by Using Instructional Media for Enhancement of Learning Achievement towards Tourism Product Knowledge in Tourism Marketing Class

Directory of Open Access Journals (Sweden)

Somnuek Pariwat

2014-01-01

Full Text Available This study aimed to investigate (1 analyzed perspectives of the traditional teaching and the instructional media teaching to improve the tourism product knowledge in the tourism marketing class, (2 satisfaction levels, among second-year students majoring in tourism program, towards the instructional media teaching, and (3 comparative learning achievement of the students in the class. Survey questionnaires, pretest and post-test, and instructional media were applied for data collection. Furthermore, descriptive analysis and statistics such as Average, Standard Deviation, and Paired T-Test were employed of data analysis. The findings revealed that the traditional teaching employed lesser time and it was uncomplicated when applying for a class with a large number of students and several knowledge sources. However, the students played unimportant role and felt uninterested towards the lesson if the teachers were unskillful. The traditional teaching could not meet the needs and individual differences of the students while the instructional media could better develop their learning quality and their participation in learning and cognitive processes. The students’ satisfaction towards the instructional media teaching was presented in the high level. Additionally, the students learning with instructional media performed the higher average test points than those learning with the traditional teaching.

Going open source: some lessons learned from the development of OpenRecLink

Directory of Open Access Journals (Sweden)

Kenneth Rochel de Camargo Jr.

2015-02-01

Full Text Available Record linkage is the process of identifying and merging records across different databases belonging to the same entity. The health sector is one of the pioneering areas of record linkage techniques applications. In 1998 we began the development of a software package, called RecLink that implemented probabilistic record linkage techniques. In this article we report the development of a new, open-source version of that program, now named OpenRecLink. The aim of this article is to present the main characteristics of the new version and some of the lessons learned during its development. The new version is a total rewrite of the program, based on three goals: (1 to migrate to a free and open source software (FOSS platform; (2 to implement a multiplatform version; (3 to implement the support for internationalization. We describe the tools that we adopted, the process of development and some of the problems encountered.

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…

Addressing the Language Description Deficit

Directory of Open Access Journals (Sweden)

M. Ali Bolgiin

2010-01-01

Full Text Available Well-described language features are key to successful teaching and learning, especially for achieving advanced levels of proficiency. Other measures, such as simply increasing the number of reading and listening passages in a language program alone are not enough to bring the student to a higher level in a given skill. In fact, even being present in the target culture does not suffice. Angelelli and Degueldre (2002 argue that at advanced levels, even spending time in a country where the language is spoken is not necessarily sufficient for learners: "They do not need just exposure; they need answers to questions and explanations that they can rarely get by simply being immersed in a language/ culture." Less commonly taught languages (LCTLs lack descriptions that have such answers and explanations (cf. Fotos, 2002. It is argued in this paper that corpuslinguistic analyses help to provide actual usage-based, rather than intuition-based, descriptions and explanations of language features. Such approach is illustrated through English and Turkish examples.

Sharing learning experiences through correspondence on the WWW

NARCIS (Netherlands)

Kommers, Petrus A.M.; Okamoto, T; Hartley, R.; Kinshuk, T.; Klus, J.P.

2001-01-01

Asynchronous learning networks are facilities and procedures to allow members of learning communities to be more effective and efficient in their learning. One approach is to see how the `sharing' of knowledge can be augmented through meta-data descriptions attached to portfolios and project work.

Contaminant dispersion prediction and source estimation with integrated Gaussian-machine learning network model for point source emission in atmosphere

International Nuclear Information System (INIS)

Ma, Denglong; Zhang, Zaoxiao

2016-01-01

Highlights: • The intelligent network models were built to predict contaminant gas concentrations. • The improved network models coupled with Gaussian dispersion model were presented. • New model has high efficiency and accuracy for concentration prediction. • New model were applied to indentify the leakage source with satisfied results. - Abstract: Gas dispersion model is important for predicting the gas concentrations when contaminant gas leakage occurs. Intelligent network models such as radial basis function (RBF), back propagation (BP) neural network and support vector machine (SVM) model can be used for gas dispersion prediction. However, the prediction results from these network models with too many inputs based on original monitoring parameters are not in good agreement with the experimental data. Then, a new series of machine learning algorithms (MLA) models combined classic Gaussian model with MLA algorithm has been presented. The prediction results from new models are improved greatly. Among these models, Gaussian-SVM model performs best and its computation time is close to that of classic Gaussian dispersion model. Finally, Gaussian-MLA models were applied to identifying the emission source parameters with the particle swarm optimization (PSO) method. The estimation performance of PSO with Gaussian-MLA is better than that with Gaussian, Lagrangian stochastic (LS) dispersion model and network models based on original monitoring parameters. Hence, the new prediction model based on Gaussian-MLA is potentially a good method to predict contaminant gas dispersion as well as a good forward model in emission source parameters identification problem.

Contaminant dispersion prediction and source estimation with integrated Gaussian-machine learning network model for point source emission in atmosphere

Energy Technology Data Exchange (ETDEWEB)

Ma, Denglong [Fuli School of Food Equipment Engineering and Science, Xi’an Jiaotong University, No.28 Xianning West Road, Xi’an 710049 (China); Zhang, Zaoxiao, E-mail: zhangzx@mail.xjtu.edu.cn [State Key Laboratory of Multiphase Flow in Power Engineering, Xi’an Jiaotong University, No.28 Xianning West Road, Xi’an 710049 (China); School of Chemical Engineering and Technology, Xi’an Jiaotong University, No.28 Xianning West Road, Xi’an 710049 (China)

2016-07-05

Highlights: • The intelligent network models were built to predict contaminant gas concentrations. • The improved network models coupled with Gaussian dispersion model were presented. • New model has high efficiency and accuracy for concentration prediction. • New model were applied to indentify the leakage source with satisfied results. - Abstract: Gas dispersion model is important for predicting the gas concentrations when contaminant gas leakage occurs. Intelligent network models such as radial basis function (RBF), back propagation (BP) neural network and support vector machine (SVM) model can be used for gas dispersion prediction. However, the prediction results from these network models with too many inputs based on original monitoring parameters are not in good agreement with the experimental data. Then, a new series of machine learning algorithms (MLA) models combined classic Gaussian model with MLA algorithm has been presented. The prediction results from new models are improved greatly. Among these models, Gaussian-SVM model performs best and its computation time is close to that of classic Gaussian dispersion model. Finally, Gaussian-MLA models were applied to identifying the emission source parameters with the particle swarm optimization (PSO) method. The estimation performance of PSO with Gaussian-MLA is better than that with Gaussian, Lagrangian stochastic (LS) dispersion model and network models based on original monitoring parameters. Hence, the new prediction model based on Gaussian-MLA is potentially a good method to predict contaminant gas dispersion as well as a good forward model in emission source parameters identification problem.

Simpevarp - site descriptive model version 0

Energy Technology Data Exchange (ETDEWEB)

NONE

2002-11-01

SICADA and SKB GIS, and an inventory and assessment of relevant data in other databases; a systematic overview of data needs and availability for developing a site descriptive model for the surface ecosystems (biosphere) in the Simpevarp regional model area; a more detailed treatment of the present data base for the geosphere in the Simpevarp regional model area, and its transformation into the format of a site descriptive model. V. 0 modelling is based on data available before the start of site investigations, mostly collected for reasons not directly related to the deep disposal of spent nuclear fuel. An important component of the present work, therefore, is a data inventory, in which the location and scope of all potential sources of data is detailed and evaluated with respect to prospective usefulness for future site descriptive modelling for deep disposal. This includes a general description of existing geographical data, of which most are stored in SKB GIS, a survey of data already stored in the SICADA database, and an inventory of other data sources, whose information content has not yet been evaluated and/or inserted in SICADA or SKB GIS. Data sources relevant to the Simpevarp regional model area which still, to some degree, need to be evaluated/converted/inserted include the siting and construction of spent fuel interim storage facility, CLAB, and the siting, pre-investigation, predictive modelling and construction of the Aespoe Hard Rock Laboratory. The present report describes the current level of knowledge of the surface ecosystems in the Simpevarp regional model area, in a highly condensed form. It refers to, and draws its examples from, a series of SKB background reports which have been produced since the completion of the Oskarshamn feasibility study, and a number of other sources of information which are gathered here for the first time. The data sources are outlined with reference to a series of functional ecosystem types: drainage areas, forest, wetland

From Cloister to Commons: Concepts and Models for Service-Learning in Religious Studies. AAHE's Series on Service-Learning in the Disciplines.

Science.gov (United States)

Devine, Richard, Ed.; Favazza, Joseph A., Ed.; McLain, F. Michael, Ed.

This essays in this volume, 19th in a series, discuss why and how service-learning can be implemented in Religious Studies and what that discipline contributes to the pedagogy of service-learning. Part 1, "Service-Learning and the Dilemma of Religious Studies," contains: (1) "Service-Learning and the Dilemma of Religious Studies: Descriptive or…

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.

CONCEPT OF MOBILE LEARNING

Directory of Open Access Journals (Sweden)

Г О Дуйсеева

2016-12-01

Full Text Available This article deals with the definition and the description of mobile learning. Ten years’ experience of the latest mobile technologies use and devices in educational process abroad is analyzed. Prospects and the possibilities of application of these technologies are considered. The basic concepts and development of mobile learning which proposed by scientists for the last years have been given.

Minimally invasive semantification of light weight service descriptions

NARCIS (Netherlands)

Musyaffa, Fathoni A.; Halilaj, Lavdim; Siebes, Ronald; Orlandi, Fabrizio; Auer, Soren

2016-01-01

Unification and automation of RESTful web services' documentation and descriptions is currently receiving increasing attention. The open-source OpenAPI Specification (formerly known as Swagger) has become core of this effort and has been adopted by a number of major companies. It allows the

Learning Styles of Radiography Students during Clinical Practice

Science.gov (United States)

Ward, L. Patrice

2009-01-01

The purpose of this study was to identify and describe the common learning styles of radiography students during clinical practice. Quantitative, descriptive research methodology identified the learning styles of radiography students. A single self-report questionnaire, developed to assess learning styles in clinical practice, was administered…

Characterization and modeling of the heat source

Energy Technology Data Exchange (ETDEWEB)

Glickstein, S.S.; Friedman, E.

1993-10-01

A description of the input energy source is basic to any numerical modeling formulation designed to predict the outcome of the welding process. The source is fundamental and unique to each joining process. The resultant output of any numerical model will be affected by the initial description of both the magnitude and distribution of the input energy of the heat source. Thus, calculated weld shape, residual stresses, weld distortion, cooling rates, metallurgical structure, material changes due to excessive temperatures and potential weld defects are all influenced by the initial characterization of the heat source. Understandings of both the physics and the mathematical formulation of these sources are essential for describing the input energy distribution. This section provides a brief review of the physical phenomena that influence the input energy distributions and discusses several different models of heat sources that have been used in simulating arc welding, high energy density welding and resistance welding processes. Both simplified and detailed models of the heat source are discussed.

Service-learning in nursing: Integrating student learning and ...

African Journals Online (AJOL)

Service-learning in nursing: Integrating student learning and community-based service experience through reflective practice. ... the students' reflective journals, group project reports and a focus-group discussion as the primary data sources.

Human Subjects Protection: A Source for Ethical Service-Learning Practice

Science.gov (United States)

Wendler, Rachael

2012-01-01

Human subjects research ethics were developed to ensure responsible conduct when university researchers learn by interacting with community members. As service-learning students also learn by interacting with community members, a similar set of principles may strengthen the ethical practice of service-learning. This article identifies ethical…

Sources for charged particles

International Nuclear Information System (INIS)

Arianer, J.

1997-01-01

This document is a basic course on charged particle sources for post-graduate students and thematic schools on large facilities and accelerator physics. A simple but precise description of the creation and the emission of charged particles is presented. This course relies on every year upgraded reference documents. Following relevant topics are considered: electronic emission processes, technological and practical considerations on electron guns, positron sources, production of neutral atoms, ionization, plasma and discharge, different types of positive and negative ion sources, polarized particle sources, materials for the construction of ion sources, low energy beam production and transport. (N.T.)

Central Decoding for Multiple Description Codes based on Domain Partitioning

Directory of Open Access Journals (Sweden)

M. Spiertz

2006-01-01

Full Text Available Multiple Description Codes (MDC can be used to trade redundancy against packet loss resistance for transmitting data over lossy diversity networks. In this work we focus on MD transform coding based on domain partitioning. Compared to Vaishampayan’s quantizer based MDC, domain based MD coding is a simple approach for generating different descriptions, by using different quantizers for each description. Commonly, only the highest rate quantizer is used for reconstruction. In this paper we investigate the benefit of using the lower rate quantizers to enhance the reconstruction quality at decoder side. The comparison is done on artificial source data and on image data. 

An Investigation of the Relationship between Language Learning Strategies and Learning Styles in Turkish Freshman Students

Science.gov (United States)

Balci, Özgül

2017-01-01

The purpose of this study is to determine the relationship between the language learning strategies of freshman students and their learning styles. This study is a descriptive research and employs a relational screening model. Participants of the study were 328 freshman students majoring in different fields at Necmettin Erbakan University Ahmet…

The Effectiveness of Learning Instruments of Speaking Containing Character Values toward Speaking Learning

Directory of Open Access Journals (Sweden)

Wisudariani N. M. R.

2018-01-01

Full Text Available This development research aimed at describing the effectiveness of learning instruments of speaking that were contained in character values. The objects of the study were a syllabus, lesson plan, textbook, and assessment. The subjects of the study were the lecturers of Speaking and the 2nd-semester students of IIA, IIB, and IIC in the academic year of 2015/2016. The data was collected through observation, questionnaire, and test. The data was analyzed by administering descriptive qualitative technique and descriptive statistics. The results of the study showed that the learning instruments was effective to be used in the teaching and learning process, to improve students understanding on the materials, to improve students speaking skill, and to shape characters such as religious, polite, communicative, open, democratic, respectful, responsible, curious, discipline, confident, cooperative, appreciate achievement, logic, critic, creative and innovative, and love reading. The results of the study indicated that the learning instruments of speaking contained of character values were effective so that it was feasible to be used by both lecturers and students of Indonesian Language and Literature Department, Language and Art Faculty of Ganesha University of Education.

Server Interface Descriptions for Automated Testing of JavaScript Web Applications

DEFF Research Database (Denmark)

Jensen, Casper Svenning; Møller, Anders; Su, Zhendong

2013-01-01

Automated testing of JavaScript web applications is complicated by the communication with servers. Specifically, it is difficult to test the JavaScript code in isolation from the server code and database contents. We present a practical solution to this problem. First, we demonstrate that formal...... server interface descriptions are useful in automated testing of JavaScript web applications for separating the concerns of the client and the server. Second, to support the construction of server interface descriptions for existing applications, we introduce an effective inference technique that learns...... communication patterns from sample data. By incorporating interface descriptions into the testing tool Artemis, our experimental results show that we increase the level of automation for high-coverage testing on a collection of JavaScript web applications that exchange JSON data between the clients and servers...

Note: Development of ESS Bilbao's proton ion source: Ion Source Hydrogen Positive

International Nuclear Information System (INIS)

Miracoli, R.; Feuchtwanger, J.; Arredondo, I.; Belver, D.; Gonzalez, P. J.; Corres, J.; Djekic, S.; Echevarria, P.; Eguiraun, M.; Garmendia, N.; Muguira, L.

2014-01-01

The Ion Source Hydrogen positive is a 2.7 GHz off-resonance microwave discharge ion source. It uses four coils to generate an axial magnetic field in the plasma chamber around 0.1 T that exceeds the ECR resonance field. A new magnetic system was designed as a combination of the four coils and soft iron in order to increase the reliability of the source. The description of the simulations of the magnetic field and the comparison with the magnetic measurements are presented. Moreover, results of the initial commissioning of the source for extraction voltage until 50 kV will be reported

Drosophila learn efficient paths to a food source.

Science.gov (United States)

Navawongse, Rapeechai; Choudhury, Deepak; Raczkowska, Marlena; Stewart, James Charles; Lim, Terrence; Rahman, Mashiur; Toh, Alicia Guek Geok; Wang, Zhiping; Claridge-Chang, Adam

2016-05-01

Elucidating the genetic, and neuronal bases for learned behavior is a central problem in neuroscience. A leading system for neurogenetic discovery is the vinegar fly Drosophila melanogaster; fly memory research has identified genes and circuits that mediate aversive and appetitive learning. However, methods to study adaptive food-seeking behavior in this animal have lagged decades behind rodent feeding analysis, largely due to the challenges presented by their small scale. There is currently no method to dynamically control flies' access to food. In rodents, protocols that use dynamic food delivery are a central element of experimental paradigms that date back to the influential work of Skinner. This method is still commonly used in the analysis of learning, memory, addiction, feeding, and many other subjects in experimental psychology. The difficulty of microscale food delivery means this is not a technique used in fly behavior. In the present manuscript we describe a microfluidic chip integrated with machine vision and automation to dynamically control defined liquid food presentations and sensory stimuli. Strikingly, repeated presentations of food at a fixed location produced improvements in path efficiency during food approach. This shows that improved path choice is a learned behavior. Active control of food availability using this microfluidic system is a valuable addition to the methods currently available for the analysis of learned feeding behavior in flies. Copyright © 2016 The Authors. Published by Elsevier Inc. All rights reserved.

A hitchhiker's guide to the older literature of descriptive teratology.

Science.gov (United States)

Beckwith, J Bruce

2007-12-15

Though relatively neglected in the age of molecular biology, the older literature of teratology includes superb illustrations and descriptions of malformations, and other information of permanent value to science and medicine. Accessing that literature can be challenging, as most is in works that are rare, published in languages other than English, and not available in digital form. This article describes some valuable sources of information concerning the antiquarian literature of descriptive teratology. (c) 2007 Wiley-Liss, Inc.

Toward a Model of Sources of Influence in Online Education: Cognitive Learning and the Effects of Web 2.0

Science.gov (United States)

Carr, Caleb T.; Zube, Paul; Dickens, Eric; Hayter, Carolyn A.; Barterian, Justin A.

2013-01-01

To explore the integration of education processes into social media, we tested an initial model of student learning via interactive web tools and theorized three sources of influence: interpersonal, intrapersonal, and masspersonal. Three-hundred thirty-seven students observed an online lecture and then completed a series of scales. Structural…

40 CFR 417.10 - Applicability; description of the soap manufacturing by batch kettle subcategory.

Science.gov (United States)

2010-07-01

... 40 Protection of Environment 28 2010-07-01 2010-07-01 true Applicability; description of the soap... PROTECTION AGENCY (CONTINUED) EFFLUENT GUIDELINES AND STANDARDS SOAP AND DETERGENT MANUFACTURING POINT SOURCE CATEGORY Soap Manufacturing by Batch Kettle Subcategory § 417.10 Applicability; description of the soap...

Chandra Source Catalog: User Interface

Science.gov (United States)

Bonaventura, Nina; Evans, Ian N.; Rots, Arnold H.; Tibbetts, Michael S.; van Stone, David W.; Zografou, Panagoula; Primini, Francis A.; Glotfelty, Kenny J.; Anderson, Craig S.; Chen, Judy C.; Davis, John E.; Doe, Stephen M.; Evans, Janet D.; Fabbiano, Giuseppina; Galle, Elizabeth C.; Gibbs, Danny G., II; Grier, John D.; Hain, Roger; Hall, Diane M.; Harbo, Peter N.; He, Helen; Houck, John C.; Karovska, Margarita; Kashyap, Vinay L.; Lauer, Jennifer; McCollough, Michael L.; McDowell, Jonathan C.; Miller, Joseph B.; Mitschang, Arik W.; Morgan, Douglas L.; Mossman, Amy E.; Nichols, Joy S.; Nowak, Michael A.; Plummer, David A.; Refsdal, Brian L.; Siemiginowska, Aneta L.; Sundheim, Beth A.; Winkelman, Sherry L.

2009-09-01

The Chandra Source Catalog (CSC) is intended to be the definitive catalog of all X-ray sources detected by Chandra. For each source, the CSC provides positions and multi-band fluxes, as well as derived spatial, spectral, and temporal source properties. Full-field and source region data products are also available, including images, photon event lists, light curves, and spectra. The Chandra X-ray Center CSC website (http://cxc.harvard.edu/csc/) is the place to visit for high-level descriptions of each source property and data product included in the catalog, along with other useful information, such as step-by-step catalog tutorials, answers to FAQs, and a thorough summary of the catalog statistical characterization. Eight categories of detailed catalog documents may be accessed from the navigation bar on most of the 50+ CSC pages; these categories are: About the Catalog, Creating the Catalog, Using the Catalog, Catalog Columns, Column Descriptions, Documents, Conferences, and Useful Links. There are also prominent links to CSCview, the CSC data access GUI, and related help documentation, as well as a tutorial for using the new CSC/Google Earth interface. Catalog source properties are presented in seven scientific categories, within two table views: the Master Source and Source Observations tables. Each X-ray source has one ``master source'' entry and one or more ``source observation'' entries, the details of which are documented on the CSC ``Catalog Columns'' pages. The master source properties represent the best estimates of the properties of a source; these are extensively described on the following pages of the website: Position and Position Errors, Source Flags, Source Extent and Errors, Source Fluxes, Source Significance, Spectral Properties, and Source Variability. The eight tutorials (``threads'') available on the website serve as a collective guide for accessing, understanding, and manipulating the source properties and data products provided by the catalog.

A Description Grid to Support the Design of Learning Role-Play Games

Science.gov (United States)

Mariais, Christelle; Michau, Florence; Pernin, Jean-Philippe

2012-01-01

To strengthen the motivation of learners, the professional training sector is focusing more and more on game-based learning. In this context, the authors have become interested in the design of Learning Role-Play Game (LRPG) scenarios. The aim of this article is to improve the designers' confidence in the validity of the game-based learning…

Using Realia to Teach Physically Disabled Students in Writing Descriptive Texts

Directory of Open Access Journals (Sweden)

Noorma Fitriana M. Zain

2014-06-01

Full Text Available This case study is focused on teaching descriptive texts by using realia. The writer took the 8th grade students of SMPLB Negeri Ungaran as the subjects of the study. The aim of this research is to know the implementation of teaching descriptive texts that cover parts, qualities, and characteristics of the objects. This study was carried out around four meetings. In each meeting, the researcher observed the situation of the class and the setudents’ activities in that classroom. The data collection method used in the research was observation, interview, and documentation. In implementating the research, the researcher found several problems and difficulties in teaching learning processes. One of them is that, the teaching physically disabled students are not easy. It has to be slowly because the students’ ability in writing the lesson is limited. The other problem comes from the teacher him/herself that never uses media or tools to teach physically disabled students. It is a matter of fact that teaching physically  disabled students needs media to make them easily understand the learning materials. One of the media that could be used is realia. From this research it is expected that the problems could be solved and a new paradigm in teaching descriptive texts for disabled students could be considered.

Learning with nature and learning from others: nature as setting and resource for early childhood education

OpenAIRE

MacQuarrie, Sarah; Nugent, Clare; Warden, Claire

2015-01-01

Nature-based learning is an increasingly popular type of early childhood education. Despite this, children's experiences-in particular, their form and function within different settings and how they are viewed by practitioners-are relatively unknown. Accordingly, the use of nature as a setting and a resource for learning was researched. A description and an emerging understanding of nature-based learning were obtained through the use of a group discussion and case studies. Practitioners' view...

Communicating the Library as a Learning Environment

Science.gov (United States)

Nitecki, Danuta A.; Simpson, Katherine

2016-01-01

Lack of commonly used vocabulary for informal learning environments hinders precise communication concerning what is observed, assessed, and understood about the relationship between space and learning. This study empirically extends taxonomies of terms and phrases that describe such relationships through content analysis of descriptions of…

Teacher learning through reciprocal peer coaching :an analysis of activity sequences

NARCIS (Netherlands)

Zwart, R.C.; Wubbels, Th.; Bolhuis, S.M; Bergen, T.C.M.

2008-01-01

Just what and how eight experienced teachers in four coaching dyads learned during a 1-year reciprocal peer coaching trajectory was examined in the present study. The learning processes were mapped by providing a detailed description of reported learning activities, reported learning outcomes, and

Physical description of nuclear materials identification system (NMIS) signatures

International Nuclear Information System (INIS)

Mihalczo, J.T.; Mullens, J.A.; Mattingly, J.K.; Valentine, T.E.

2000-01-01

This paper describes all time and frequency analysis parameters measured with a new correlation processor (capability up to 1 GHz sampling rates and up to five input data channels) for three input channels: (1) the 252 Cf source ionization chamber; (2) a detection channel; and (3) a second detection channel. An intuitive and physical description of the various measured quantities is given as well as a brief mathematical description and a brief description of how the data are acquired. If the full five-channel capability is used, the number of measured quantities increases in number but not in type. The parameters provided by this new processor can be divided into two general classes: time analysis signatures and their related frequency analysis signatures. The time analysis signatures include the number of time m pulses occurs in a time interval, that is triggered randomly, upon a detection event, or upon a source fission event triggered. From the number of pulses in a time interval, the moments, factorial moments, and Feynmann variance can be obtained. Recent implementations of third- and fourth-order time and frequency analysis signatures in this processor are also briefly described. Thus, this processor used with a timed source of input neutrons contains all of the information from a pulsed neutron measurement, one and two detector Rossi-α measurements, multiplicity measurements, and third- and fourth-order correlation functions. This processor, although originally designed for active measurements with a 252 Cf interrogating source, has been successfully used passively (without 252 Cf source) for systems with inherent neutron sources such as fissile systems of plutonium. Data from active measurements with an 18.75 kg highly enriched uranium (93.2 wt%, 235 U) metal casting for storage are presented to illustrate some of the various time and frequency analysis parameters. This processor, which is a five-channel time correlation analyzer with time channel widths

Engaging Students in Mathematical Modeling through Service-Learning

Science.gov (United States)

Carducci, Olivia M.

2014-01-01

I have included a service-learning project in my mathematical modeling course for the last 6 years. This article describes my experience with service-learning in this course. The article includes a description of the course and the service-learning projects. There is a discussion of how to connect with community partners and identify…

Maintaining Quality and Confidence in Open-Source, Evolving Software: Lessons Learned with PFLOTRAN

Science.gov (United States)

Frederick, J. M.; Hammond, G. E.

2017-12-01

Software evolution in an open-source framework poses a major challenge to a geoscientific simulator, but when properly managed, the pay-off can be enormous for both the developers and the community at large. Developers must juggle implementing new scientific process models, adopting increasingly efficient numerical methods and programming paradigms, changing funding sources (or total lack of funding), while also ensuring that legacy code remains functional and reported bugs are fixed in a timely manner. With robust software engineering and a plan for long-term maintenance, a simulator can evolve over time incorporating and leveraging many advances in the computational and domain sciences. In this positive light, what practices in software engineering and code maintenance can be employed within open-source development to maximize the positive aspects of software evolution and community contributions while minimizing its negative side effects? This presentation will discusses steps taken in the development of PFLOTRAN (www.pflotran.org), an open source, massively parallel subsurface simulator for multiphase, multicomponent, and multiscale reactive flow and transport processes in porous media. As PFLOTRAN's user base and development team continues to grow, it has become increasingly important to implement strategies which ensure sustainable software development while maintaining software quality and community confidence. In this presentation, we will share our experiences and "lessons learned" within the context of our open-source development framework and community engagement efforts. Topics discussed will include how we've leveraged both standard software engineering principles, such as coding standards, version control, and automated testing, as well unique advantages of object-oriented design in process model coupling, to ensure software quality and confidence. We will also be prepared to discuss the major challenges faced by most open-source software teams, such

Visual perception and verbal descriptions as sources for generating mental representations: Evidence from representational neglect.

Science.gov (United States)

Denis, Michel; Beschin, Nicoletta; Logie, Robert H; Della Sala, Sergio

2002-03-01

In the majority of investigations of representational neglect, patients are asked to report information derived from long-term visual knowledge. In contrast, studies of perceptual neglect involve reporting the contents of relatively novel scenes in the immediate environment. The present study aimed to establish how representational neglect might affect (a) immediate recall of recently perceived, novel visual layouts, and (b) immediate recall of novel layouts presented only as auditory verbal descriptions. These conditions were contrasted with reports from visual perception and a test of immediate recall of verbal material. Data were obtained from 11 neglect patients (9 with representational neglect), 6 right hemisphere lesion control patients with no evidence of neglect, and 15 healthy controls. In the perception, memory following perception, and memory following layout description conditions, the neglect patients showed poorer report of items depicted or described on the left than on the right of each layout. The lateralised error pattern was not evident in the non-neglect patients or healthy controls, and there was no difference among the three groups on immediate verbal memory. One patient showed pure representational neglect, with ceiling performance in the perception condition, but with lateralised errors for memory following perception or following verbal description. Overall, the results indicate that representational neglect does not depend on the presence of perceptual neglect, that visual perception and visual mental representations are less closely linked than has been thought hitherto, and that visuospatial mental representations have similar functional characteristics whether they are derived from visual perception or from auditory linguistic descriptive inputs.

Learning the Semantics of Structured Data Sources

Science.gov (United States)

Taheriyan, Mohsen

2015-01-01

Information sources such as relational databases, spreadsheets, XML, JSON, and Web APIs contain a tremendous amount of structured data, however, they rarely provide a semantic model to describe their contents. Semantic models of data sources capture the intended meaning of data sources by mapping them to the concepts and relationships defined by a…

How to Best Name a Place? Facilitation and Inhibition of Route Learning Due to Descriptive and Arbitrary Location Labels.

Science.gov (United States)

Meilinger, Tobias; Schulte-Pelkum, Jörg; Frankenstein, Julia; Hardiess, Gregor; Laharnar, Naima; Mallot, Hanspeter A; Bülthoff, Heinrich H

2016-01-01

Establishing verbal memory traces for non-verbal stimuli was reported to facilitate or inhibit memory for the non-verbal stimuli. We show that these effects are also observed in a domain not indicated before-wayfinding. Fifty-three participants followed a guided route in a virtual environment. They were asked to remember half of the intersections by relying on the visual impression only. At the other 50% of the intersections, participants additionally heard a place name, which they were asked to memorize. For testing, participants were teleported to the intersections and were asked to indicate the subsequent direction of the learned route. In Experiment 1, intersections' names were arbitrary (i.e., not related to the visual impression). Here, participants performed more accurately at unnamed intersections. In Experiment 2, intersections' names were descriptive and participants' route memory was more accurate at named intersections. Results have implications for naming places in a city and for wayfinding aids.

How to best name a place? Facilitation and inhibition of route learning due to descriptive and arbitrary location labels

Directory of Open Access Journals (Sweden)

Tobias eMeilinger

2016-02-01

Full Text Available Establishing verbal memory traces for non-verbal stimuli was reported to facilitate or inhibit memory for the non-verbal stimuli. We show that these effects are also observed in a domain not indicated before – wayfinding. Fifty-three participants followed a guided route in a virtual environment. They were asked to remember half of the intersections by relying on the visual impression only. At the other 50% of the intersections, participants additionally heard a place name, which they were asked to memorize. For testing, participants were teleported to the intersections and were asked to indicate the subsequent direction of the learned route. In Experiment 1, intersections’ names were arbitrary (i.e., not related to the visual impression. Here, participants performed more accurately at unnamed intersections. In Experiment 2, intersections’ names were descriptive and participants’ route memory was more accurate at named intersections. Results have implications for naming places in a city and for wayfinding aids.

Three Empowering Curricular Innovations for Service-Learning in ESL Programs

Science.gov (United States)

Perren, James; Grove, Nuray; Thornton, Julie

2013-01-01

This article describes three service-learning projects implemented in three different ESL programs in the United States. Each description includes typical course goals, service-learning assignments, reflection activities, student learning outcomes, and pedagogical challenges. The first project was developing digital literacy through…

Discovering subgroups using descriptive models of adverse outcomes in medical care.

Science.gov (United States)

Stiglic, Gregor; Kokol, P

2012-01-01

Hospital discharge databases store hundreds of thousands of patients. These datasets are usually used by health insurance companies to process claims from hospitals, but they also represent a rich source of information about the patterns of medical care. The proposed subgroup discovery method aims to improve the efficiency of detecting interpretable subgroups in data. Supervised descriptive rule discovery techniques can prove inefficient in cases when target class samples represent only an extremely small amount of all available samples. Our approach aims to balance the number of samples in target and control groups prior to subgroup discovery process. Additionally, we introduce some improvements to an existing subgroup discovery algorithm enhancing the user experience and making the descriptive data mining process and visualization of rules more user friendly. Instance-based subspace subgroup discovery introduced in this paper is demonstrated on hospital discharge data with focus on medical errors. In general, the number of patients with a recorded diagnosis related to a medical error is relatively small in comparison to patients where medical errors did not occur. The ability to produce comprehensible and simple models with high degree of confidence, support, and predictive power using the proposed method is demonstrated. This paper introduces a subspace subgroup discovery process that can be applied in all settings where a large number of samples with relatively small number of target class samples are present. The proposed method is implemented in Weka machine learning environment and is available at http://ri.fzv.uni-mb.si/ssd.

Work Placements as Learning Environments for Patient Safety: Finnish and British Preregistration Nursing Students' Important Learning Events

Science.gov (United States)

Tella, Susanna; Smith, Nancy-Jane; Partanen, Pirjo; Turunen, Hannele

2016-01-01

Learning to ensure patient safety in complex health care environments is an internationally recognised concern. This article explores and compares Finnish (n = 22) and British (n = 32) pre-registration nursing students' important learning events about patient safety from their work placements in health care organisations. Written descriptions were…

Open source in Finnish software companies

OpenAIRE

Seppä, Arto

2006-01-01

This paper explores survey data focusing on open source software supply collected from 170 Finnish software firms using descriptive statistical analysis. The first half of the report contains general data about software companies and the differences between proprietary and open source firms. The second half focuses on open source firms. A subject of analysis are copyrights, products and services supply, the firms’ relationships with the open source community, and their views on opportunities ...

Procedural learning and dyslexia.

Science.gov (United States)

Nicolson, R I; Fawcett, A J; Brookes, R L; Needle, J

2010-08-01

Three major 'neural systems', specialized for different types of information processing, are the sensory, declarative, and procedural systems. It has been proposed (Trends Neurosci., 30(4), 135-141) that dyslexia may be attributable to impaired function in the procedural system together with intact declarative function. We provide a brief overview of the increasing evidence relating to the hypothesis, noting that the framework involves two main claims: first that 'neural systems' provides a productive level of description avoiding the underspecificity of cognitive descriptions and the overspecificity of brain structural accounts; and second that a distinctive feature of procedural learning is its extended time course, covering from minutes to months. In this article, we focus on the second claim. Three studies-speeded single word reading, long-term response learning, and overnight skill consolidation-are reviewed which together provide clear evidence of difficulties in procedural learning for individuals with dyslexia, even when the tasks are outside the literacy domain. The educational implications of the results are then discussed, and in particular the potential difficulties that impaired overnight procedural consolidation would entail. It is proposed that response to intervention could be better predicted if diagnostic tests on the different forms of learning were first undertaken. 2010 John Wiley & Sons, Ltd.

A general description of the Swedish radiation protection regulations of radioactive sources

International Nuclear Information System (INIS)

Staalnacke, C.-G.

2001-01-01

The regulation of ionizing radiation in Sweden is based on both the Radiation Protection Act and Ordinance from 1998. The Swedish Radiation Protection Institute (SSI) acts as the regulatory authority for radiation safety and issues detailed regulations in specific areas. The report summarizes how the SSI controls radiation sources, including orphan sources for which a process for analyzing their occurrence has started in Sweden. A number of proposed procedures for the control and follow-up of sealed radioactive sources is provided. (author)

Drosophila learn efficient paths to a food source

OpenAIRE

Stewart, James; Lim, Terrence; Claridge-Chang, Adam; Wang, Zhiping; Toh, Alicia; Rahman, Mashiur; Navawongse, Rapeechai; Raczkowska, Marlena; Choudhury, Deepak

2016-01-01

Elucidating the genetic, and neuronal bases for learned behavior is a central problem in neuroscience. A leading system for neurogenetic discovery is the vinegar fly Drosophila melanogaster; fly memory research has identified genes and circuits that mediate aversive and appetitive learning. However, methods to study adaptive food-seeking behavior in this animal have lagged decades behind rodent feeding analysis, largely due to the challenges presented by their small scale. There is currently ...

A descriptive study of registered nurses' experiences with web-based learning.

Science.gov (United States)

Atack, Lynda; Rankin, James

2002-11-01

To describe the experiences of registered nurses (RNs) who enrolled in a web-based course from either their home or the workplace. In order to maintain competency in rapidly changing health care systems, and meet the challenge of overcoming traditional barriers to continuing education, RNs need access to innovative educational delivery methods. As yet, little is known about the web-based learners' experience, particularly when courses are accessed from the nursing practice setting. The article focuses on the results from questionnaires conducted with 57 RNs enrolled in a web-based, postdiploma course. These findings emanate from a larger study using survey method and focus group interviews. Nurses' experiences were measured using the Online Learner Support Instrument which was developed and tested for use in the study. Most nurses found the course highly satisfactory. Not all experiences were positive however, and a number of challenges were faced. Access to the course from home was reported as very satisfactory for the majority, while work users encountered a number of serious barriers such as insufficient time and limited computer access. The RNs made significant gains in their learning with e-mail, Internet, keyboarding and word processing skills during the 16-week course. Lack of computer skills, erroneous perceptions of course workload and inadequate preparation for web learning were largely responsible for the majority of withdrawals. Web-based learning can be an effective mode of delivery for nursing education. Advance preparation by educational institutions, employers and prospective students is essential. Teachers, peers, technology, course design and the learning environment are key variables that influence the learners' experience and success.

Description, field test and data analysis of a controlled-source EM system (EM-60). [Leach Hot Springs, Grass Valley

Energy Technology Data Exchange (ETDEWEB)

Morrison, H.F.; Goldstein, N.E.; Hoversten, M.; Oppliger, G.; Riveros, C.

1978-10-01

The three sections describe the transmitter, the receiver, and data interpretations and indicate the advances made toward the development of a large moment electromagnetic (EM) system employing a magnetic dipole source. A brief description is given of the EM-60 transmitter, its general design, and the consideration involved in the selection of a practical coil size and weight for routine field operations. A programmable, multichannel, multi-frequency, phase-sensitive receiver is described. A field test of the EM-60, the data analysis and interpretation procedures, and a comparison between the survey results and the results obtained using other electrical techniques are presented. The Leach Hot Springs area in Grass Valley, Pershing County, Nevada, was chosen for the first field site at which the entire system would be tested. The field tests showed the system capable of obtaining well-defined sounding curves (amplitude and phase of magnetic fields) from 1 kHz down to 0.1 Hz. (MHR)

Practical Design of Delta-Sigma Multiple Description Audio Coding

DEFF Research Database (Denmark)

Leegaard, Jack Højholt; Østergaard, Jan; Jensen, Søren Holdt

2014-01-01

It was recently shown that delta-sigma quantization (DSQ) can be used for optimal multiple description (MD) coding of Gaussian sources. The DSQ scheme combined oversampling, prediction, and noise-shaping in order to trade off side distortion for central distortion in MD coding. It was shown that ...

Forsmark - site descriptive model version 0

Energy Technology Data Exchange (ETDEWEB)

NONE

2002-10-01

area identified in the feasibility study as favourable for further study. This rectangular area has now been designated the Forsmark regional model area. An important component of the present work is a data inventory, in which the location and scope of all potential sources of data is detailed and evaluated with respect to prospective usefulness for future site descriptive modelling for deep disposal. Data sources relevant to the Forsmark regional model area which still, to some degree, need to be evaluated/converted/inserted include the siting and construction of the three nuclear reactors (Forsmark 1-3), the feasibility study for an underground spent nuclear fuel interim storage facility at Forsmark, the pre-investigations and construction of the SFR, and the SAFE project. The present report describes the current level of knowledge of the surface ecosystems in the Forsmark regional model area, in a highly condensed form. It refers to, and draws its examples from, a series of SKB background reports which have been produced since the completion of the Oesthammar feasibility study, and a number of other sources of information which are gathered here for the first time. The data sources are outlined with reference to a series of functional ecosystem types: drainage areas, forest, wetland, agricultural land, lakes and rivers, and sea, each further subdivided into appropriate entities. A systematic approach has been used, even though, at the current level of knowledge, the information in many subdivisions is inadequate or lacking. The aims of biosphere studies within the site investigation programme are to define baseline (preconstruction) conditions, to provide the necessary data base for the environmental impact statement, and to contribute to the dose estimations in the safety analysis. The main emphasis of the report is on the preparation of a site descriptive model, version 0, for the geosphere, since data acquisition and processing in this area, in contrast to the

Learning about facts of life: perspective from medical students on sources and preferences about puberty and sex education in Karachi.

Science.gov (United States)

Shaikh, Masood Ali; Mubeen, Syed Muhammand; Furqan, Muhammad

2017-11-01

Puberty heralds the onset of adulthood, and is fraught with complex physiological and psychological changes and emotions. In this study, we looked at the sources of information about puberty and sex education among males and females, age at which they learned about them, and the opinions on the role of schools and parents in imparting this education among medical students.A cross-sectional pilot study, using convenience sampling was conducted among 153 medical students of the Hamdard College of Medicine and Dentistry (HCM&D) in Karachi. Regarding most common source of information about puberty; 23 (25.3%) males identified friends as the most important source of information. While 31 (50.0%) women identified their mothers as the most important source.Regarding most common source of information about reproductive systems and sex; 17 (27.4%) women identified school teachers as the most common source of information, while 26 (28.6%) men identified books and magazines.

The regulatory control over radiation sources: the Brazilian experience and some lessons learned from industrial applications

International Nuclear Information System (INIS)

Costa, E.L.C.; Gomes, J.D.R.L.; Gomes, R.S.; Costa, M.L.L.; Thomé, Z.D.; Instituto Militar de Engenharia

2017-01-01

This study gives an overview of the activities of the National Commission of Nuclear Energy (CNEN), as the Brazilian nuclear regulatory authority. These activities are described, especially those related to management of orphan sources and radioactive material in scrap metal considering the actions already put into place by CNEN during the licensing and controlling of radioactive sources in the industry and other facilities. In Brazil, there is not yet an effective system for controlling the scrap metal and recycling industry, thus a coordinated approach to achieve a harmonized and effective response with the involvement of third parties is needed, especially the metal industries and ores facilities. These practices call for stringent regulatory control, in order to reduce the occurrence of orphan sources, and consequently, radioactive material appearing in scrap metal. Some challenges of managing the national radiation sources register systems will be discussed, in order to cover effectively all the radiation source history (in a 'from the cradle to the grave' basis), and the dynamic maintenance and update of these data. The main industrial applications considered in this work are those dealing with constant movement of sources all over the country, with geographical issues to be considered in the managing and controlling actions, such as gammagraphy and well-logging. This study aims to identify and promote good practices to prevent inadvertent diversion of radioactive material, taking into account existing international recommendations and some lessons learned in national level. (author)

The regulatory control over radiation sources: the Brazilian experience and some lessons learned from industrial applications

Energy Technology Data Exchange (ETDEWEB)

Costa, E.L.C.; Gomes, J.D.R.L.; Gomes, R.S.; Costa, M.L.L.; Thomé, Z.D., E-mail: evaldo@cnen.gov.br, E-mail: jlopes@cnen.gov.br, E-mail: rogeriog@cnen.gov.br, E-mail: mara@cnen.gov.br, E-mail: zielithome@gmail.com [Comissao Nacional de Energia Nuclear (CNEN), Rio de Janeiro, RJ (Brazil). Diretoria de Radioproteção e Segurança Nuclear; Instituto Militar de Engenharia (IME), Rio de Janeiro, RJ (Brazil). Seção de Engenharia Nuclear

2017-11-01

This study gives an overview of the activities of the National Commission of Nuclear Energy (CNEN), as the Brazilian nuclear regulatory authority. These activities are described, especially those related to management of orphan sources and radioactive material in scrap metal considering the actions already put into place by CNEN during the licensing and controlling of radioactive sources in the industry and other facilities. In Brazil, there is not yet an effective system for controlling the scrap metal and recycling industry, thus a coordinated approach to achieve a harmonized and effective response with the involvement of third parties is needed, especially the metal industries and ores facilities. These practices call for stringent regulatory control, in order to reduce the occurrence of orphan sources, and consequently, radioactive material appearing in scrap metal. Some challenges of managing the national radiation sources register systems will be discussed, in order to cover effectively all the radiation source history (in a 'from the cradle to the grave' basis), and the dynamic maintenance and update of these data. The main industrial applications considered in this work are those dealing with constant movement of sources all over the country, with geographical issues to be considered in the managing and controlling actions, such as gammagraphy and well-logging. This study aims to identify and promote good practices to prevent inadvertent diversion of radioactive material, taking into account existing international recommendations and some lessons learned in national level. (author)

How Select Groups of Preservice Science Teachers with Inquiry Orientations View Teaching and Learning Science through Inquiry

Science.gov (United States)

Ward, Peggy

Although hailed as a powerful form of instruction, in most teaching and learning contexts, inquiry-based instruction is fraught with ambiguous and conflicting definitions and descriptions. Yet little has been written about the experiences preservice science teacher have regarding their learning to teach science through inquiry. This project sought to understand how select preservice secondary science teachers enrolled in three UTeach programs in Arkansas conceptualize inquiry instruction and how they rationalize its value in a teaching and learning context. The three teacher education programs investigated in this study are adoption sites aligned with the UTeach Program in Austin, TX that distinguishes itself in part by its inquiry emphasis. Using a mixed method investigation design, this study utilized two sources of data to explore the preservice science teachers' thinking. In the first phase, a modified version of the Pedagogy of Science teaching Tests (POSTT) was used to identify select program participants who indicated preferences for inquiry instruction over other instructional strategies. Secondly, the study used an open-ended questionnaire to explore the selected subjects' beliefs and conceptions of teaching and learning science in an inquiry context. The study also focused on identifying particular junctures in the prospective science teachers' education preparation that might impact their understanding about inquiry. Using a constant comparative approach, this study explored 19 preservice science teachers' conceptions about inquiry. The results indicate that across all levels of instruction, the prospective teachers tended to have strong student-centered teaching orientations. Except subjects in for the earliest courses, subjects' definitions and descriptions of inquiry tended toward a few of the science practices. More advanced subjects, however, expressed more in-depth descriptions. Excluding the subjects who have completed the program, multiple

Community-Based Service-Learning as a Source of Personal Self-Efficacy: Preparing Preservice Elementary Teachers to Teach Science for Diversity

Science.gov (United States)

Cone, Neporcha

2009-01-01

Bandura (1997) contends that when compared to other sources of efficacy, mastery experiences, when presented appropriately, have the most powerful influence on self-efficacy. The purpose of this study was to investigate the effects of community-based service learning (CBSL) experiences on preservice elementary teachers' personal self-efficacy…

Estimating photometric redshifts for X-ray sources in the X-ATLAS field using machine-learning techniques

Science.gov (United States)

Mountrichas, G.; Corral, A.; Masoura, V. A.; Georgantopoulos, I.; Ruiz, A.; Georgakakis, A.; Carrera, F. J.; Fotopoulou, S.

2017-12-01

We present photometric redshifts for 1031 X-ray sources in the X-ATLAS field using the machine-learning technique TPZ. X-ATLAS covers 7.1 deg2 observed with XMM-Newton within the Science Demonstration Phase of the H-ATLAS field, making it one of the largest contiguous areas of the sky with both XMM-Newton and Herschel coverage. All of the sources have available SDSS photometry, while 810 additionally have mid-IR and/or near-IR photometry. A spectroscopic sample of 5157 sources primarily in the XMM/XXL field, but also from several X-ray surveys and the SDSS DR13 redshift catalogue, was used to train the algorithm. Our analysis reveals that the algorithm performs best when the sources are split, based on their optical morphology, into point-like and extended sources. Optical photometry alone is not enough to estimate accurate photometric redshifts, but the results greatly improve when at least mid-IR photometry is added in the training process. In particular, our measurements show that the estimated photometric redshifts for the X-ray sources of the training sample have a normalized absolute median deviation, nmad ≈ 0.06, and a percentage of outliers, η = 10-14%, depending upon whether the sources are extended or point like. Our final catalogue contains photometric redshifts for 933 out of the 1031 X-ray sources with a median redshift of 0.9. The table of the photometric redshifts is only available at the CDS via anonymous ftp to http://cdsarc.u-strasbg.fr (http://130.79.128.5) or via http://cdsarc.u-strasbg.fr/viz-bin/qcat?J/A+A/608/A39

EMPLOYEE LEARNING AND DEVELOPMENT IN ORGANISATIONS

Directory of Open Access Journals (Sweden)

VNOUČKOVÁ, Lucie

2013-09-01

Full Text Available The primary goal of all organisations is efficiency of human resources. Therefore activities as HR controlling, performance management but also cutting costs are the main theme. Current organisations need to monitor human resources to keep their competitiveness. Thus paper describes the key factor of organisational efficiency - employee education, talent management and the necessity to retain skilled employees. The aim of the paper is to reveal the current approach in organisations to education and learning based on primary survey of employees. The data were collected using quantitative primary survey in Czech organisations across sectors. The questionnaire was compiled based on the theoretical background. The paper has been processed based on the analysis of secondary sources, outcome synthesis and the evaluation of results of a questionnaire survey. The data were analysed using descriptive statistic, correlation analysis and factor analysis. The SPSS programme was used for the analyses. The outcomes were categorized and the analyses revealed the main factors affecting organisational approach to employee learning and development. The results identify three possible approaches in organisations to employee learning and development. The first type of organisations educates employees by their own rules, second type does not support education of employees in any way, it is only an interest of employees themselves and thirdly knowledgeable employees were identified as those employees do as much as possible to learn and grow and they choose job position in order to develop constantly. The results can be taken into account in further analysis and in organisation of adult education.

40 CFR 436.380 - Applicability; description of the graphite subcategory.

Science.gov (United States)

2010-07-01

... graphite subcategory. 436.380 Section 436.380 Protection of Environment ENVIRONMENTAL PROTECTION AGENCY (CONTINUED) EFFLUENT GUIDELINES AND STANDARDS MINERAL MINING AND PROCESSING POINT SOURCE CATEGORY Graphite Subcategory § 436.380 Applicability; description of the graphite subcategory. The provisions of this subpart...

40 CFR 467.40 - Applicability; description of the forging subcategory.

Science.gov (United States)

2010-07-01

... forging subcategory. 467.40 Section 467.40 Protection of Environment ENVIRONMENTAL PROTECTION AGENCY (CONTINUED) EFFLUENT GUIDELINES AND STANDARDS ALUMINUM FORMING POINT SOURCE CATEGORY Forging Subcategory § 467.40 Applicability; description of the forging subcategory. This subpart applies to discharges of...

40 CFR 411.20 - Applicability; description of the leaching subcategory.

Science.gov (United States)

2010-07-01

... leaching subcategory. 411.20 Section 411.20 Protection of Environment ENVIRONMENTAL PROTECTION AGENCY (CONTINUED) EFFLUENT GUIDELINES AND STANDARDS CEMENT MANUFACTURING POINT SOURCE CATEGORY Leaching Subcategory § 411.20 Applicability; description of the leaching subcategory. The provisions of this subpart are...

40 CFR 418.20 - Applicability; description of the ammonia subcategory.

Science.gov (United States)

2010-07-01

... ammonia subcategory. 418.20 Section 418.20 Protection of Environment ENVIRONMENTAL PROTECTION AGENCY (CONTINUED) EFFLUENT GUIDELINES AND STANDARDS FERTILIZER MANUFACTURING POINT SOURCE CATEGORY Ammonia Subcategory § 418.20 Applicability; description of the ammonia subcategory. The provisions of this subpart are...

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,

Forsmark - site descriptive model version 0

International Nuclear Information System (INIS)

2002-10-01

area identified in the feasibility study as favourable for further study. This rectangular area has now been designated the Forsmark regional model area. An important component of the present work is a data inventory, in which the location and scope of all potential sources of data is detailed and evaluated with respect to prospective usefulness for future site descriptive modelling for deep disposal. Data sources relevant to the Forsmark regional model area which still, to some degree, need to be evaluated/converted/inserted include the siting and construction of the three nuclear reactors (Forsmark 1-3), the feasibility study for an underground spent nuclear fuel interim storage facility at Forsmark, the pre-investigations and construction of the SFR, and the SAFE project. The present report describes the current level of knowledge of the surface ecosystems in the Forsmark regional model area, in a highly condensed form. It refers to, and draws its examples from, a series of SKB background reports which have been produced since the completion of the Oesthammar feasibility study, and a number of other sources of information which are gathered here for the first time. The data sources are outlined with reference to a series of functional ecosystem types: drainage areas, forest, wetland, agricultural land, lakes and rivers, and sea, each further subdivided into appropriate entities. A systematic approach has been used, even though, at the current level of knowledge, the information in many subdivisions is inadequate or lacking. The aims of biosphere studies within the site investigation programme are to define baseline (preconstruction) conditions, to provide the necessary data base for the environmental impact statement, and to contribute to the dose estimations in the safety analysis. The main emphasis of the report is on the preparation of a site descriptive model, version 0, for the geosphere, since data acquisition and processing in this area, in contrast to the

Formalized informal learning

DEFF Research Database (Denmark)

Levinsen, Karin; Sørensen, Birgitte Holm

2011-01-01

and other relevant stakeholders, as well as participant observations in the classroom documented by thick descriptions, formal and informal interviews and focus group interviews. The aim of the study was to explore and identify relations between designs for teaching and learning and the students' learning......This paper presents findings from a large-scale longitudinal, qualitative study - Project ICT and Learning (PIL) - that engaged the participation of eight primary schools in Denmark, and was conducted between 2006 and 2008. The research design was based on action research, involving teachers...... of school subjects within defined learning goals and curricula, along with various implementations of ICT in the pedagogical everyday practice (Levinsen & Sørensen 2008). However, another research strand - the topic of this paper - emerged during the project's life cycle as a consequence of ongoing changes...

Inquiry based learning: a student centered learning to develop mathematical habits of mind

Science.gov (United States)

Handayani, A. D.; Herman, T.; Fatimah, S.; Setyowidodo, I.; Katminingsih, Y.

2018-05-01

Inquiry based learning is learning that based on understanding constructivist mathematics learning. Learning based on constructivism is the Student centered learning. In constructivism, students are trained and guided to be able to construct their own knowledge on the basis of the initial knowledge that they have before. This paper explained that inquiry based learning can be used to developing student’s Mathematical habits of mind. There are sixteen criteria Mathematical Habits of mind, among which are diligent, able to manage time well, have metacognition ability, meticulous, etc. This research method is qualitative descriptive. The result of this research is that the instruments that have been developed to measure mathematical habits of mind are validated by the expert. The conclusion is the instrument of mathematical habits of mind are valid and it can be used to measure student’s mathematical habits of mind.

Object recognition and concept learning with Confucius

Energy Technology Data Exchange (ETDEWEB)

Cohen, B; Sammut, C

1982-01-01

A learning program produces, as its output, a Boolean function which describes a concept. The function returns true if and only if the argument is an object which satisfies the logical expression in the body of the function. The learning program's input is a set of objects which are instances of the concept to be learnt. The paper describes an algorithm devised to learn concept descriptions in this form. 15 references.

The Materiality of Learning

DEFF Research Database (Denmark)

Sørensen, Estrid

or postgraduate students interested in a variety of fields, including educational studies, educational psychology, social anthropology, and STS. Original ethnographic descriptions showing the fine details of how materials influence the learning process Introduces the advanced and complex Actor-Network Theory......The field of educational research lacks a methodology for the study of learning that does not begin with humans, their aims, and their interests. The Materiality of Learning seeks to overcome this human-centered mentality by developing a novel spatial approach to the materiality of learning....... Drawing on science and technology studies (STS), Estrid Sørensen compares an Internet-based 3D virtual environment project in a fourth-grade class with the class's work with traditional learning materials, including blackboards, textbooks, notebooks, pencils, and rulers. Taking into account pupils...

Communicating Science to Impact Learning? A Phenomenological Inquiry into 4th and 5th Graders' Perceptions of Science Information Sources

Science.gov (United States)

Gelmez Burakgazi, Sevinc; Yildirim, Ali; Weeth Feinstein, Noah

2016-01-01

Rooted in science education and science communication studies, this study examines 4th and 5th grade students' perceptions of science information sources (SIS) and their use in communicating science to students. It combines situated learning theory with uses and gratifications theory in a qualitative phenomenological analysis. Data were gathered…

Primary Numbers Database for ATLAS Detector Description Parameters

CERN Document Server

Vaniachine, A; Malon, D; Nevski, P; Wenaus, T

2003-01-01

We present the design and the status of the database for detector description parameters in ATLAS experiment. The ATLAS Primary Numbers are the parameters defining the detector geometry and digitization in simulations, as well as certain reconstruction parameters. Since the detailed ATLAS detector description needs more than 10,000 such parameters, a preferred solution is to have a single verified source for all these data. The database stores the data dictionary for each parameter collection object, providing schema evolution support for object-based retrieval of parameters. The same Primary Numbers are served to many different clients accessing the database: the ATLAS software framework Athena, the Geant3 heritage framework Atlsim, the Geant4 developers framework FADS/Goofy, the generator of XML output for detector description, and several end-user clients for interactive data navigation, including web-based browsers and ROOT. The choice of the MySQL database product for the implementation provides addition...

Use of Peer Tutoring, Cooperative Learning, and Collaborative Learning: Implications for Reducing Anti-Social Behavior of Schooling Adolescents

Science.gov (United States)

Eskay, M.; Onu, V. C.; Obiyo, N.; Obidoa, M.

2012-01-01

The study investigated the use of peer tutoring, cooperative learning, and collaborative learning as strategies to reduce anti-social behavior among schooling adolescents. The study is a descriptive survey study. The area of study was Nsukka education zone in Enugu State of Nigeria. The sample of the study was 200 teachers randomly sampled from…

Using bio.tools to generate and annotate workbench tool descriptions

DEFF Research Database (Denmark)

Hillion, Kenzo-Hugo; Kuzmin, Ivan; Khodak, Anton

2017-01-01

- which have been registered in the ELIXIR tools registry (https://bio.tools) - into workbench environments by generating tool description templates. ToolDog includes two modules. The first module analyses the source code of the bioinformatics software with language-specific plugins, and generates...

40 CFR 436.130 - Applicability; description of the borax subcategory.

Science.gov (United States)

2010-07-01

... borax subcategory. 436.130 Section 436.130 Protection of Environment ENVIRONMENTAL PROTECTION AGENCY (CONTINUED) EFFLUENT GUIDELINES AND STANDARDS MINERAL MINING AND PROCESSING POINT SOURCE CATEGORY Borax Subcategory § 436.130 Applicability; description of the borax subcategory. The provisions of this subpart are...

Single channel blind source separation based on ICA feature extraction

Institute of Scientific and Technical Information of China (English)

无

2007-01-01

A new technique is proposed to solve the blind source separation (BSS) given only a single channel observation. The basis functions and the density of the coefficients of source signals learned by ICA are used as the prior knowledge. Based on the learned prior information the learning rules of single channel BSS are presented by maximizing the joint log likelihood of the mixed sources to obtain source signals from single observation,in which the posterior density of the given measurements is maximized. The experimental results exhibit a successful separation performance for mixtures of speech and music signals.

When does social learning become cultural learning?

Science.gov (United States)

Heyes, Cecilia

2017-03-01

Developmental research on selective social learning, or 'social learning strategies', is currently a rich source of information about when children copy behaviour, and who they prefer to copy. It also has the potential to tell us when and how human social learning becomes cultural learning; i.e. mediated by psychological mechanisms that are specialized, genetically or culturally, to promote cultural inheritance. However, this review article argues that, to realize its potential, research on the development of selective social learning needs more clearly to distinguish functional from mechanistic explanation; to achieve integration with research on attention and learning in adult humans and 'dumb' animals; and to recognize that psychological mechanisms can be specialized, not only by genetic evolution, but also by associative learning and cultural evolution. © 2015 John Wiley & Sons Ltd.

A description of assistive technology sources, services and outcomes of use in a number of African settings.

Science.gov (United States)

Visagie, Surona; Eide, Arne H; Mannan, Hasheem; Schneider, Marguerite; Swartz, Leslie; Mji, Gubela; Munthali, Alister; Khogali, Mustafa; van Rooy, Gert; Hem, Karl-Gerhard; MacLachlan, Malcolm

2017-10-01

Purpose statement: The article explores assistive technology sources, services and outcomes in South Africa, Namibia, Malawi and Sudan. A survey was done in purposively selected sites of the study countries. Cluster sampling followed by random sampling served to identify 400-500 households (HHs) with members with disabilities per country. A HH questionnaire and individual questionnaire was completed. Country level analysis was limited to descriptive statistics. Walking mobility aids was most commonly bought/provided (46.3%), followed by visual aids (42.6%). The most common sources for assistive technology were government health services (37.8%), "other" (29.8%), and private health services (22.9%). Out of the participants, 59.3% received full information in how to use the device. Maintenance was mostly done by users and their families (37.3%). Devices helped a lot in 73.3% of cases and improved quality of life for 67.9% of participants, while 39.1% experienced functional difficulties despite the devices. Although there is variation between the study settings, the main impression is that of fragmented or absent systems of provision of assistive technology. Implications for rehabilitation Provision of assistive technology and services varied between countries, but the overall impression was of poor provision and fragmented services. The limited provision of assistive technology for personal care and handling products is of concern as many of these devices requires little training and ongoing support while they can make big functional differences. Rural respondents experienced more difficulties when using the device and received less information on use and maintenance of the device than their urban counterparts. A lack of government responsibility for assistive device services correlated with a lack of information and/or training of participants and maintenance of devices.

Facilitative and obstructive factors in the clinical learning environment: Experiences of pupil enrolled nurses.

Science.gov (United States)

Lekalakala-Mokgele, Eucebious; Caka, Ernestine M

2015-03-31

The clinical learning environment is a complex social entity that influences student learning outcomes in the clinical setting. Students can experience the clinical learning environment as being both facilitative and obstructive to their learning. The clinical environment may be a source of stress, creating feelings of fear and anxiety which in turn affect the students' responses to learning. Equally, the environment can enhance learning if experienced positively. This study described pupil enrolled nurses' experiences of facilitative and obstructive factors in military and public health clinical learning settings. Using a qualitative, contextual, exploratory descriptive design, three focus group interviews were conducted until data saturation was reached amongst pupil enrolled nurses in a military School of Nursing. Data analysed provided evidence that acceptance by clinical staff and affordance of self-directed learning facilitated learning. Students felt safe to practise when they were supported by the clinical staff. They felt a sense of belonging when the staff showed an interest in and welcomed them. Learning was obstructed when students were met with condescending comments. Wearing of a military uniform in the public hospital and horizontal violence obstructed learning in the clinical learning environment. Students cannot have effective clinical preparation if the environment is not conducive to and supportive of clinical learning, The study shows that military nursing students experience unique challenges as they are trained in two professions that are hierarchical in nature. The students experienced both facilitating and obstructing factors to their learning during their clinical practice. Clinical staff should be made aware of factors which can impact on students' learning. Policies need to be developed for supporting students in the clinical learning environment.

Improving the quality of learning in science through optimization of lesson study for learning community

Science.gov (United States)

Setyaningsih, S.

2018-03-01

Lesson Study for Learning Community is one of lecturer profession building system through collaborative and continuous learning study based on the principles of openness, collegiality, and mutual learning to build learning community in order to form professional learning community. To achieve the above, we need a strategy and learning method with specific subscription technique. This paper provides a description of how the quality of learning in the field of science can be improved by implementing strategies and methods accordingly, namely by applying lesson study for learning community optimally. Initially this research was focused on the study of instructional techniques. Learning method used is learning model Contextual teaching and Learning (CTL) and model of Problem Based Learning (PBL). The results showed that there was a significant increase in competence, attitudes, and psychomotor in the four study programs that were modelled. Therefore, it can be concluded that the implementation of learning strategies in Lesson study for Learning Community is needed to be used to improve the competence, attitude and psychomotor of science students.

Robot Learning a New Subfield? The Robolearn-96 Workshop

OpenAIRE

Hexmoor, Henry; Meeden, Lisa; Murphy, Robin R.

1997-01-01

This article posits the idea of robot learning as a new subfield. The results of the Robolearn-96 Workshop provide evidence that learning in modern robotics is distinct from traditional machine learning. The article examines the role of robotics in the social and natural sciences and the potential impact of learning on robotics, generating both a continuum of research issues and a description of the divergent terminology, target domains, and standards of proof associated with robot learning. ...

The Influence of Pronunciation Learning Strategies on Mastering English Vowels

Science.gov (United States)

Rokoszewska, Katarzyna

2012-01-01

The present paper focuses on the role of strategies in learning the pronunciation of the target language. First, an outline of various general classifications of language learning strategies is provided. Next, pronunciation learning strategies are defined and their various taxonomies are presented. This is followed by the description of the study…

Ion sources for electrostatic accelerators

International Nuclear Information System (INIS)

Hellborg, R.

1998-01-01

Maybe the most important part of an electrostatic accelerator system, and also often the most tricky part is the ion source. There has been a rapid growth in activity in ion-source research and development during the last two to three decades. Some of these developments have also been of benefit to electrostatic accelerator users. In this report some of the different types of ion sources used in electrostatic accelerators are described. The list is not complete but more an overview of some of the more commonly used sources. The description is divided into two groups; positive ion sources for single stage electrostatic accelerators and negative ion sources for two stages (i.e. tandem) accelerators

Learning Management Systems and E-Learning within Cyprus Universities

Directory of Open Access Journals (Sweden)

Amirkhanpour, Monaliz

2011-01-01

Full Text Available This paper presents an extensive research study and results on the use of existing open-source Learning Management Systems, or LMS within the public and private universities of Cyprus. The most significant objective of this research is the identification of the different types of E-Learning, i.e. Computer-Based Training (CBT, Technology-Based Learning (TBL, and Web-Based Training (WBT within Cyprus universities. The paper identifies the benefits and limitations of the main learning approaches used in higher educational institutions, i.e. synchronous and asynchronous learning, investigates the open-source LMS used in the Cypriot universities and compares their features with regards to students’ preferences for a collaborative E-Learning environment. The required data for this research study were collected from undergraduate and graduate students, alumni, faculty members, and IT professionals who currently work and/or study at the public and private universities of Cyprus. The most noteworthy recommendation of this study is the clear indication that most of the undergraduate students that extensively use the specific E-Learning platform of their university do not have a clear picture of the differences between an LMS and a VLE. This gap has to be gradually diminished in order to make optimum use of the different features offered by the specific E-Learning platform.

40 CFR 421.200 - Applicability: Description of the secondary mercury subcategory.

Science.gov (United States)

2010-07-01

... secondary mercury subcategory. 421.200 Section 421.200 Protection of Environment ENVIRONMENTAL PROTECTION AGENCY (CONTINUED) EFFLUENT GUIDELINES AND STANDARDS NONFERROUS METALS MANUFACTURING POINT SOURCE CATEGORY Secondary Mercury Subcategory § 421.200 Applicability: Description of the secondary mercury...

Second Language Learning Motivation

Directory of Open Access Journals (Sweden)

Alvyda Liuolienė

2011-04-01

Full Text Available The paper deals with the peculiarities of ESP learning motivation. The meaning of motivation and three main approaches to motivational psychology: expectancy-value theory, goal-directed theory and the self-determination theory are presented, two distinct orientations for learning a language: integrative and instrumental are described in the paper. The importance of needs analysis to ESP learning is stressed and the main conditions (interest in the topic and activity; relevance to the students’ lives; expectancy of success and feelings of being in control and satisfaction in the outcome for motivation are described. The skills that ESP learners need to develop are specified. The description of approaches to motivational psychology is proposed, as motivation is of great significance in foreign language learning.

A Conceptual Framework for Primary Source Practices

Science.gov (United States)

Ensminger, David C.; Fry, Michelle L.

2012-01-01

This article introduces a descriptive conceptual framework to provide teachers with a means of recognizing and describing instructional activities that use primary sources. The framework provides structure for professional development programs that have been established to train teachers to access and integrate primary sources into lessons. The…

Competition-Based Learning: A Model for the Integration of Competitions with Project-Based Learning Using Open Source LMS

Science.gov (United States)

Issa, Ghassan; Hussain, Shakir M.; Al-Bahadili, Hussein

2014-01-01

In an effort to enhance the learning process in higher education, a new model for Competition-Based Learning (CBL) is presented. The new model utilizes two well-known learning models, namely, the Project-Based Learning (PBL) and competitions. The new model is also applied in a networked environment with emphasis on collective learning as well as…

Descriptive Research

DEFF Research Database (Denmark)

Wigram, Anthony Lewis

2003-01-01

Descriptive research is described by Lathom-Radocy and Radocy (1995) to include Survey research, ex post facto research, case studies and developmental studies. Descriptive research also includes a review of the literature in order to provide both quantitative and qualitative evidence of the effect...... starts will allow effect size calculations to be made in order to evaluate effect over time. Given the difficulties in undertaking controlled experimental studies in the creative arts therapies, descriptive research methods offer a way of quantifying effect through descriptive statistical analysis...

AGS polarized H- source

International Nuclear Information System (INIS)

Kponou, A.; Alessi, J.G.; Sluyters, T.

1985-01-01

The AGS polarized H - source is now operational. During a month-long experimental physics run in July 1984, pulses equivalent to 15 μA x 300 μs (approx. 3 x 10 10 protons) were injected into the RFQ preaccelerator. Beam polarization, measured at 200 MeV, was approx. 75%. After the run, a program to increase the H - yield of the source was begun and significant progress has been made. The H - current is now frequently 20 to 30 μA. A description of the source and some details of our operating experience are given. We also briefly describe the improvement program

40 CFR 427.90 - Applicability; description of the solvent recovery subcategory.

Science.gov (United States)

2010-07-01

... solvent recovery subcategory. 427.90 Section 427.90 Protection of Environment ENVIRONMENTAL PROTECTION AGENCY (CONTINUED) EFFLUENT GUIDELINES AND STANDARDS ASBESTOS MANUFACTURING POINT SOURCE CATEGORY Solvent Recovery Subcategory § 427.90 Applicability; description of the solvent recovery subcategory. The...

40 CFR 415.50 - Applicability; description of the calcium oxide production subcategory.

Science.gov (United States)

2010-07-01

... calcium oxide production subcategory. 415.50 Section 415.50 Protection of Environment ENVIRONMENTAL... SOURCE CATEGORY Calcium Oxide Production Subcategory § 415.50 Applicability; description of the calcium... the production of calcium oxide. ...

Scoping Study of Machine Learning Techniques for Visualization and Analysis of Multi-source Data in Nuclear Safeguards

Energy Technology Data Exchange (ETDEWEB)

Cui, Yonggang

2018-05-07

In implementation of nuclear safeguards, many different techniques are being used to monitor operation of nuclear facilities and safeguard nuclear materials, ranging from radiation detectors, flow monitors, video surveillance, satellite imagers, digital seals to open source search and reports of onsite inspections/verifications. Each technique measures one or more unique properties related to nuclear materials or operation processes. Because these data sets have no or loose correlations, it could be beneficial to analyze the data sets together to improve the effectiveness and efficiency of safeguards processes. Advanced visualization techniques and machine-learning based multi-modality analysis could be effective tools in such integrated analysis. In this project, we will conduct a survey of existing visualization and analysis techniques for multi-source data and assess their potential values in nuclear safeguards.

Techniques for long term conditioning and storage of radium sources

International Nuclear Information System (INIS)

Dogaru, Gheorghe; Dragolici, Felicia; Nicu, Mihaela

2008-01-01

The Horia Hulubei National Institute of Research and Development for Physics and Nuclear Engineering developed its own technology for conditioning the radium spent sealed radioactive sources. The laboratory dedicated to radiological characterization, identification of radium sources as well as the encapsulation of spent sealed radioactive sources was equipped with a local ventilation system, welding devices, tightness test devices as well as radiometric portable devices. Two types of capsules have been designed for conditioning of radium spent sealed radioactive sources. For these kinds of capsules different types of storage packaging were developed. Data on the radium inventory will be presented in the paper. The paper contains the description of the process of conditioning of spent sealed radioactive sources as well as the description of the capsules and packaging. The paper describes the equipment used for the conditioning of the radium spent sealed sources. (authors)

Learning about Ecological Systems by Constructing Qualitative Models with DynaLearn

Science.gov (United States)

Leiba, Moshe; Zuzovsky, Ruth; Mioduser, David; Benayahu, Yehuda; Nachmias, Rafi

2012-01-01

A qualitative model of a system is an abstraction that captures ordinal knowledge and predicts the set of qualitatively possible behaviours of the system, given a qualitative description of its structure and initial state. This paper examines an innovative approach to science education using an interactive learning environment that supports…

A process for developing and revising a learning progression on sea level rise using learners' explanations

Science.gov (United States)

McDonald, Robert Christopher

The purpose of this study was to explore the process of developing a learning progression (LP) on constructing explanations about sea level rise. I used a learning progressions theoretical framework informed by the situated cognition learning theory. During this exploration, I explicitly described my decision-making process as I developed and revised a hypothetical learning progression. Correspondingly, my research question was: What is a process by which a hypothetical learning progression on sea level rise is developed into an empirical learning progression using learners' explanations? To answer this question, I used a qualitative descriptive single case study with multiple embedded cases (Yin, 2014) that employed analytic induction (Denzin, 1970) to analyze data collected on middle school learners (grades 6-8). Data sources included written artifacts, classroom observations, and semi-structured interviews. Additionally, I kept a researcher journal to track my thinking about the learning progression throughout the research study. Using analytic induction to analyze collected data, I developed eight analytic concepts: participant explanation structures varied widely, global warming and ice melt cause sea level rise, participants held alternative conceptions about sea level rise, participants learned about thermal expansion as a fundamental aspect of sea level rise, participants learned to incorporate authentic scientific data, participants' mental models of the ocean varied widely, sea ice melt contributes to sea level rise, and participants held vague and alternative conceptions about how pollution impacts the ocean. I started with a hypothetical learning progression, gathered empirical data via various sources (especially semi-structured interviews), revised the hypothetical learning progression in response to those data, and ended with an empirical learning progression comprising six levels of learner thinking. As a result of developing an empirically based LP

Cs+ ion source for secondary ion mass spectrometry

International Nuclear Information System (INIS)

Bentz, B.L.; Weiss, H.; Liebl, H.

1981-12-01

Various types of cesium ionization sources currently used in secondary ion mass spectrometry are briefly reviewed, followed by a description of the design and performance of a novel, thermal surface ionization Cs + source developed in this laboratory. The source was evaluated for secondary ion mass spectrometry applications using the COALA ion microprobe mass analyzer. (orig.)

Q-SOS—A Sensor Observation Service for Accessing Quality Descriptions of Environmental Data

Directory of Open Access Journals (Sweden)

Anusuriya Devaraju

2015-08-01

Full Text Available The worldwide Sensor Web comprises observation data from diverse sources. Each data provider may process and assess datasets differently before making them available online. This information is often invisible to end users. Therefore, publishing observation data with quality descriptions is vital as it helps users to assess the suitability of data for their applications. It is also important to capture contextual information concerning data quality such as provenance to trace back incorrect data to its origins. In the Open Geospatial Consortium (OGC’s Sensor Web Enablement (SWE framework, there is no sufficiently and practically applicable approach how these aspects can be systematically represented and made accessible. This paper presents Q-SOS—an extension of the OGC’s Sensor Observation Service (SOS that supports retrieval of observation data together with quality descriptions. These descriptions are represented in an observation data model covering various aspects of data quality assessment. The service and the data model have been developed based on open standards and open source tools, and are productively being used to share observation data from the TERENO observatory infrastructure. We discuss the advantages of deploying the presented solutions from data provider and consumer viewpoints. Enhancements applied to the related open-source developments are also introduced.

Constructive Use of Authoritative Sources in Science Meaning-Making

Science.gov (United States)

Yeo, Jennifer; Tan, Seng Chee

2010-01-01

Researchers are skeptical about the role of authoritative sources of information in a constructivist learning environment for fear of usurping students' critical thinking. Taking a social semiotics perspective in this study, authoritative sources are regarded as inscriptions of cultural artifacts, and science learning involves meaning-making of…

Autoconditioning system for BNL negative ion sources

International Nuclear Information System (INIS)

Larson, R.A.

1979-01-01

The autoconditioning system at BNL is being used to condition negative ion sources now under development. A minicomputer with appropriate interface hardware is employed to implement simple algorithims, slowly increasing the operating point of the source. This paper gives a brief description of the hardware and the software system

40 CFR 436.240 - Applicability; description of the diatomite subcategory.

Science.gov (United States)

2010-07-01

... 40 Protection of Environment 29 2010-07-01 2010-07-01 false Applicability; description of the diatomite subcategory. 436.240 Section 436.240 Protection of Environment ENVIRONMENTAL PROTECTION AGENCY (CONTINUED) EFFLUENT GUIDELINES AND STANDARDS MINERAL MINING AND PROCESSING POINT SOURCE CATEGORY Diatomite Subcategory § 436.240 Applicability;...

Investigations on a hybrid positron source with a granular converter

Energy Technology Data Exchange (ETDEWEB)

Artru, X. [Institut de Physique Nucleaire de Lyon, Universite Lyon 1, CNRS/IN2P3, Villeurbanne (France); Chaikovska, I. [Laboratoire de l’Accelerateur Lineaire (LAL), Universite Paris-Sud, Bat. 200, 91898 Orsay (France); Chehab, R., E-mail: chehab@lal.in2p3.fr [Institut de Physique Nucleaire de Lyon, Universite Lyon 1, CNRS/IN2P3, Villeurbanne (France); Chevallier, M. [Institut de Physique Nucleaire de Lyon, Universite Lyon 1, CNRS/IN2P3, Villeurbanne (France); Dadoun, O. [Laboratoire de l’Accelerateur Lineaire (LAL), Universite Paris-Sud, Bat. 200, 91898 Orsay (France); Furukawa, K. [Accelerator Laboratory (KEK), Oho, Tsukuba, Ibaraki 305-0801 (Japan); Guler, H. [Laboratoire de l’Accelerateur Lineaire (LAL), Universite Paris-Sud, Bat. 200, 91898 Orsay (France); Kamitani, T.; Miyahara, F.; Satoh, M. [Accelerator Laboratory (KEK), Oho, Tsukuba, Ibaraki 305-0801 (Japan); Sievers, P. [CERN, Geneva (Switzerland); Suwada, T.; Umemori, K. [Accelerator Laboratory (KEK), Oho, Tsukuba, Ibaraki 305-0801 (Japan); Variola, A. [Laboratoire de l’Accelerateur Lineaire (LAL), Universite Paris-Sud, Bat. 200, 91898 Orsay (France)

2015-07-15

Promising results obtained with crystal targets for positron production led to the elaboration of a hybrid source made of an axially oriented tungsten crystal, as a radiator, and an amorphous tungsten converter. If the converter is granular, made of small spheres, the heat dissipation is greatly enhanced and the thermal shocks reduced, allowing the consideration of such device for the future linear colliders. A positron source of this kind is investigated. Previous simulations have shown very promising results for the yield as for the energy deposition and the PEDD (Peak Energy Deposition Density). Here, we present detailed simulations made in this granular converter with emphasis on the energy deposition density, which is a critical parameter as learned from the breakdown of the SLC target. A test on the KEKB linac is foreseen; it will allow a determination of the energy deposited and the PEDD in the converter through temperature measurements. Four granular converters, made of W spheres of mm radius have been built at LAL-Orsay; they will be installed at KEK and compared to compact converters. A description of the experimental layout at KEK is provided. Applications to future linear colliders as CLIC and ILC are considered.

Learning Resources Organization Using Ontological Framework

Science.gov (United States)

Gavrilova, Tatiana; Gorovoy, Vladimir; Petrashen, Elena

The paper describes the ontological approach to the knowledge structuring for the e-learning portal design as it turns out to be efficient and relevant to current domain conditions. It is primarily based on the visual ontology-based description of the content of the learning materials and this helps to provide productive and personalized access to these materials. The experience of ontology developing for Knowledge Engineering coursetersburg State University is discussed and “OntolingeWiki” tool for creating ontology-based e-learning portals is described.

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 ...

Density functionals from deep learning

OpenAIRE

McMahon, Jeffrey M.

2016-01-01

Density-functional theory is a formally exact description of a many-body quantum system in terms of its density; in practice, however, approximations to the universal density functional are required. In this work, a model based on deep learning is developed to approximate this functional. Deep learning allows computational models that are capable of naturally discovering intricate structure in large and/or high-dimensional data sets, with multiple levels of abstraction. As no assumptions are ...

Motivational Classroom Climate for Learning Mathematics: A Reversal Theory Perspective

Science.gov (United States)

Lewis, Gareth

2015-01-01

In this article, a case is made that affect is central in determining students' experience of learning or not learning mathematics. I show how reversal theory (Apter, 2001), and particularly its taxonomy of motivations and emotions, provides a basis for a thick description of students' experiences of learning in a mathematics classroom. Using data…

System design description PFP thermal stabilization

International Nuclear Information System (INIS)

RISENMAY, H.R.

1998-01-01

The purpose of this document is to provide a system design description and design basis for the Plutonium Finishing P1ant (PFP) Thermal Stabilization project. The sources of material for this project are residues scraped from glovebox floors and materials already stored in vault storage that need further stabilizing to meet the 3013 storage requirements. Stabilizing this material will promote long term storage and reduced worker exposure. This document addresses: function design, equipment, and safety requirements for thermal stabilization of plutonium residues and oxides

Learning management system and e-learning tools: an experience of medical students' usage and expectations.

Science.gov (United States)

Back, David A; Behringer, Florian; Haberstroh, Nicole; Ehlers, Jan P; Sostmann, Kai; Peters, Harm

2016-08-20

To investigate medical students´ utilization of and problems with a learning management system and its e-learning tools as well as their expectations on future developments. A single-center online survey has been carried out to investigate medical students´ (n = 505) usage and perception concerning the learning management system Blackboard, and provided e-learning tools. Data were collected with a standardized questionnaire consisting of 70 items and analyzed by quantitative and qualitative methods. The participants valued lecture notes (73.7%) and Wikipedia (74%) as their most important online sources for knowledge acquisition. Missing integration of e-learning into teaching was seen as the major pitfall (58.7%). The learning management system was mostly used for study information (68.3%), preparation of exams (63.3%) and lessons (54.5%). Clarity (98.3%), teaching-related contexts (92.5%) and easy use of e-learning offers (92.5%) were rated highest. Interactivity was most important in free-text comments (n = 123). It is desired that contents of a learning management system support an efficient learning. Interactivity of tools and their conceptual integration into face-to-face teaching are important for students. The learning management system was especially important for organizational purposes and the provision of learning materials. Teachers should be aware that free online sources such as Wikipedia enjoy a high approval as source of knowledge acquisition. This study provides an empirical basis for medical schools and teachers to improve their offerings in the field of digital learning for their students.

e-Assessment in a Limited-Resources Dental School Using an Open-Source Learning Management System.

Science.gov (United States)

El Tantawi, Maha M A; Abdelsalam, Maha M; Mourady, Ahmed M; Elrifae, Ismail M B

2015-05-01

e-Assessment provides solutions to some problems encountered in dental students' evaluation. The aim of this study was to evaluate the experience of a limited-resources dental school with e-assessment provided through an open-source learning management system (LMS). Data about users' access and types of e-assessment activities at the Faculty of Dentistry, Alexandria University, Egypt, were obtained from the web-based LMS Moodle. A questionnaire developed to assess students' perceptions of the e-assessment was also sent to students registered in two courses (undergraduate and postgraduate) with the same instructor. The results showed that most e-courses at the school had one form of e-assessment (82%) and, of these, 16.7% had summative assessment activities. There were significant differences among departments in the number of e-courses with e-assessment. One-quarter of e-courses with e-assessment used Moodle quizzes. Of 285 students registered in the two courses that included the questionnaire, 170 responded (response rate=59.6%). The responding students positively perceived the impact of e-assessment on learning and its reliability and security, whereas technical issues and related stresses were negatively perceived. This study suggests that e-assessment can be used at minimal cost in dental schools with limited resources and large class sizes with the least demands on faculty members and teaching staff time. For these schools, an open-source LMS such as Moodle provides formative e-assessment not available otherwise and accommodates various question formats and varying levels of instructors' technical skills. These students seemed to have a positive impression of the e-assessment although technical problems and related stresses are issues that need to be addressed.

Graphic Description: The Mystery of Ibn Khafaja\\'s Success in Description

Directory of Open Access Journals (Sweden)

جواد رنجبر

2009-12-01

Full Text Available Graphic Description:   The Mystery of Ibn Khafaja's Success in Description    Ali Bagher Taheriniya *  Javad Ranjbar **      Abstract Ibn Khafaja is one of the poets and men of letters in Spain. He is titled to Sanobari of Spain. He is one of the masters of description. Hence, the analysis of successful techniques he has used in the descriptive art could illuminate the way for others. Al-Taswir al-harfi (graphic description is a term which denotes the highest and most detailed poems. On this basis, the best descriptive poem is one which is closer to a painting. He has used some elements called conforming elements of description which contain: imagination, feeling, faculty, and dialogue as well as three other elements: to be inborn in description, enchanting nature and convenient life. This article is going to give an analysis of the reasons for Ibn Khafaja’s success in description and portrait making.   Key words: Ibn Khafaja, poetry, description, portrait   * Associate Professor, Bu Ali Sina University of Hamadan E-mail: bTaheriniya@yahoo.com  ** M.A. in Arabic Language and Literature

40 CFR 464.20 - Applicability; description of the copper casting subcategory.

Science.gov (United States)

2010-07-01

... copper casting subcategory. 464.20 Section 464.20 Protection of Environment ENVIRONMENTAL PROTECTION AGENCY (CONTINUED) EFFLUENT GUIDELINES AND STANDARDS METAL MOLDING AND CASTING POINT SOURCE CATEGORY Copper Casting Subcategory § 464.20 Applicability; description of the copper casting subcategory. The...

40 CFR 464.30 - Applicability; description of the ferrous casting subcategory.

Science.gov (United States)

2010-07-01

... ferrous casting subcategory. 464.30 Section 464.30 Protection of Environment ENVIRONMENTAL PROTECTION AGENCY (CONTINUED) EFFLUENT GUIDELINES AND STANDARDS METAL MOLDING AND CASTING POINT SOURCE CATEGORY Ferrous Casting Subcategory § 464.30 Applicability; description of the ferrous casting subcategory. The...

40 CFR 464.10 - Applicability; description of the aluminum casting subcategory.

Science.gov (United States)

2010-07-01

... aluminum casting subcategory. 464.10 Section 464.10 Protection of Environment ENVIRONMENTAL PROTECTION AGENCY (CONTINUED) EFFLUENT GUIDELINES AND STANDARDS METAL MOLDING AND CASTING POINT SOURCE CATEGORY Aluminum Casting Subcategory § 464.10 Applicability; description of the aluminum casting subcategory. The...

40 CFR 471.70 - Applicability; description of the uranium forming subcategory.

Science.gov (United States)

2010-07-01

... uranium forming subcategory. 471.70 Section 471.70 Protection of Environment ENVIRONMENTAL PROTECTION AGENCY (CONTINUED) EFFLUENT GUIDELINES AND STANDARDS NONFERROUS METALS FORMING AND METAL POWDERS POINT SOURCE CATEGORY Uranium Forming Subcategory § 471.70 Applicability; description of the uranium forming...

Multi-level machine learning prediction of protein–protein interactions in Saccharomyces cerevisiae

Directory of Open Access Journals (Sweden)

Julian Zubek

2015-07-01

Full Text Available Accurate identification of protein–protein interactions (PPI is the key step in understanding proteins’ biological functions, which are typically context-dependent. Many existing PPI predictors rely on aggregated features from protein sequences, however only a few methods exploit local information about specific residue contacts. In this work we present a two-stage machine learning approach for prediction of protein–protein interactions. We start with the carefully filtered data on protein complexes available for Saccharomyces cerevisiae in the Protein Data Bank (PDB database. First, we build linear descriptions of interacting and non-interacting sequence segment pairs based on their inter-residue distances. Secondly, we train machine learning classifiers to predict binary segment interactions for any two short sequence fragments. The final prediction of the protein–protein interaction is done using the 2D matrix representation of all-against-all possible interacting sequence segments of both analysed proteins. The level-I predictor achieves 0.88 AUC for micro-scale, i.e., residue-level prediction. The level-II predictor improves the results further by a more complex learning paradigm. We perform 30-fold macro-scale, i.e., protein-level cross-validation experiment. The level-II predictor using PSIPRED-predicted secondary structure reaches 0.70 precision, 0.68 recall, and 0.70 AUC, whereas other popular methods provide results below 0.6 threshold (recall, precision, AUC. Our results demonstrate that multi-scale sequence features aggregation procedure is able to improve the machine learning results by more than 10% as compared to other sequence representations. Prepared datasets and source code for our experimental pipeline are freely available for download from: http://zubekj.github.io/mlppi/ (open source Python implementation, OS independent.

Deep learning with Python

CERN Document Server

Chollet, Francois

2018-01-01

DESCRIPTION Deep learning is applicable to a widening range of artificial intelligence problems, such as image classification, speech recognition, text classification, question answering, text-to-speech, and optical character recognition. Deep Learning with Python is structured around a series of practical code examples that illustrate each new concept introduced and demonstrate best practices. By the time you reach the end of this book, you will have become a Keras expert and will be able to apply deep learning in your own projects. KEY FEATURES • Practical code examples • In-depth introduction to Keras • Teaches the difference between Deep Learning and AI ABOUT THE TECHNOLOGY Deep learning is the technology behind photo tagging systems at Facebook and Google, self-driving cars, speech recognition systems on your smartphone, and much more. AUTHOR BIO Francois Chollet is the author of Keras, one of the most widely used libraries for deep learning in Python. He has been working with deep neural ...

Supporting Parents' Pain Care Involvement With Their Children With Acute Lymphoblastic Leukemia: A Qualitative Interpretive Description.

Science.gov (United States)

Bettle, Amanda; Latimer, Margot; Fernandez, Conrad; Hughes, Jean

Children with acute lymphoblastic leukemia experience pain from the disease, treatment, and procedures. Parents can be effective in managing their child's pain, but little is systematically known about how they do this. Appreciative inquiry was used to frame the study within a strengths-based lens and interpretive descriptive methods were used to describe pain sources, parents' pain care role, and key structures supporting parents pain care involvement. Eight paediatric oncology clinic nurses and 10 parents participated. Six key themes per group were identified. Parent themes included establishing therapeutic relationships, relearning how to care for my child, overcoming challenges and recognizing pain, learning parent specific strategies, empowering to take active pain care role, and maintaining relationships. Nurse themes included establishing therapeutic relationships, preparing parents to care for their child, facilitating pain assessment, teaching parents best pain care, empowering parents, and maintaining relationships. These findings can be used to guide clinical practice and future research.

High-efficiency thermal ionization sources for mass spectrometry

International Nuclear Information System (INIS)

Olivares, Jose A.

1996-01-01

A version of the thermal ionization cavity (TIC) source developed specifically for use in mass spectrometry is presented. The performance of this ion source has been characterized extensively both with the use of an isotope separator and a quadrupole mass spectrometer. A detailed description of the TIC source for mass spectrometry is given along with the performance characteristics observed

Open Source Software and Design-Based Research Symbiosis in Developing 3D Virtual Learning Environments: Examples from the iSocial Project

Science.gov (United States)

Schmidt, Matthew; Galyen, Krista; Laffey, James; Babiuch, Ryan; Schmidt, Carla

2014-01-01

Design-based research (DBR) and open source software are both acknowledged as potentially productive ways for advancing learning technologies. These approaches have practical benefits for the design and development process and for building and leveraging community to augment and sustain design and development. This report presents a case study of…

Creating Open Source Conversation

Science.gov (United States)

Sheehan, Kate

2009-01-01

Darien Library, where the author serves as head of knowledge and learning services, launched a new website on September 1, 2008. The website is built with Drupal, an open source content management system (CMS). In this article, the author describes how she and her colleagues overhauled the library's website to provide an open source content…

Recent negative ion source developments

International Nuclear Information System (INIS)

Alton, G.D.

1978-01-01

This report describes recent results obtained from studies associated with the development of negative ion sources which utilize sputtering in a diffuse cesium plasma as a means of ion beam generation. Data are presented which relate negative ion yield and important operational parameters such as cesium oven temperature and sputter probe voltage from each of the following sources: (1) A source based in principle according to the University of Aarhus design and (2) an axial geometry source. The important design aspects of the sources are given--along with a list of the negative ion intensities observed to date. Also a qualitative description and interpretation of the negative ion generation mechanism in sources which utilize sputtering in the presence of cesium is given

National Synchrotron Light Source

International Nuclear Information System (INIS)

van Steenbergen, A.

1979-01-01

The National Synchrotron Light Source comprises two high intensity electron storage rings for the generation of intense fluxes of synchrotron radiation in the vuv wavelength domain (700 MeV e - ring) and in the x-ray wavelength domain (2.5 GeV e - ring). A description is presented of the basic facility and the characteristics of the synchrotron radiation sources. The present plans for specific beam lines will be enumerated and the planned use of beam wigglers and undulators will be discussed

Structural Relationships among Self-Regulated Learning, Learning Flow, Satisfaction, and Learning Persistence in Cyber Universities

Science.gov (United States)

Joo, Young Ju; Joung, Sunyoung; Kim, Jiyeon

2014-01-01

Learning persistence in a cyber-learning environment is not only an index determining the success or failure of individual learners but also a source of important information to establish the management direction of educational programs in an organization. Accordingly, learners need to be motivated to continue to grow in order to ensure both…

Development of Interactive Media for ICT Learning at Elementary School Based on Student Self Learning

Directory of Open Access Journals (Sweden)

Sri Huning Anwariningsih

2013-05-01

Full Text Available The implementation of information and comunication technology (ICT curriculum at elementary school is the educational sector development. ICT subject is a practical subject which require a direct practice to make easier in the student understanding. Therefore, a teacher is demanded to make a learning media which helps the student to understand the material of study. This research is aimed at describing the model of ICT study in elementary school and using of learning media. Moreover, the description can be bocome one of the basic from the development of interactive study model base on student self learning. Besides, the arraging of this study model is hoped to make habitual and self learning.

Problem Solving Reasoning and Problem Based Instruction in Geometry Learning

Science.gov (United States)

Sulistyowati, F.; Budiyono, B.; Slamet, I.

2017-09-01

This research aims to analyze the comparison Problem Solving Reasoning (PSR) and Problem Based Instruction (PBI) on problem solving and mathematical communication abilities viewed from Self-Regulated Learning (SRL). Learning was given to grade 8th junior high school students. This research uses quasi experimental method, and then with descriptive analysis. Data were analyzed using two-ways multivariate analysis of variance (MANOVA) and one-way analysis of variance (ANOVA) with different cells. The result of data analysis were learning model gives different effect, level of SRL gives the same effect, and there is no interaction between the learning model with the SRL on the problem solving and mathematical communication abilities. The t-test statistic was used to find out more effective learning model. Based on the test, regardless of the level of SRL, PSR is more effective than PBI for problemsolving ability. The result of descriptive analysis was PSR had the advantage in creating learning that optimizing the ability of learners in reasoning to solve a mathematical problem. Consequently, the PSR is the right learning model to be applied in the classroom to improve problem solving ability of learners.

Dyslexia and Learning a Foreign Language: A Personal Experience.

Science.gov (United States)

Simon, Charlann S.

2000-01-01

This participant observer report reviews research on how dyslexia complicates learning a second language, a description of how dyslexia has affected educational experiences, personal experiences learning a foreign language, and recommendations to individuals with dyslexia who are faced with fulfilling a foreign language requirement and their…

Transient Response Analysis of Metropolis Learning in Games

KAUST Repository

Jaleel, Hassan

2017-10-19

The objective of this work is to provide a qualitative description of the transient properties of stochastic learning dynamics like adaptive play, log-linear learning, and Metropolis learning. The solution concept used in these learning dynamics for potential games is that of stochastic stability, which is based on the stationary distribution of the reversible Markov chain representing the learning process. However, time to converge to a stochastically stable state is exponential in the inverse of noise, which limits the use of stochastic stability as an effective solution concept for these dynamics. We propose a complete solution concept that qualitatively describes the state of the system at all times. The proposed concept is prevalent in control systems literature where a solution to a linear or a non-linear system has two parts, transient response and steady state response. Stochastic stability provides the steady state response of stochastic learning rules. In this work, we study its transient properties. Starting from an initial condition, we identify the subsets of the state space called cycles that have small hitting times and long exit times. Over the long time scales, we provide a description of how the distributions over joint action profiles transition from one cycle to another till it reaches the globally optimal state.

Transient Response Analysis of Metropolis Learning in Games

KAUST Repository

Jaleel, Hassan; Shamma, Jeff S.

2017-01-01

The objective of this work is to provide a qualitative description of the transient properties of stochastic learning dynamics like adaptive play, log-linear learning, and Metropolis learning. The solution concept used in these learning dynamics for potential games is that of stochastic stability, which is based on the stationary distribution of the reversible Markov chain representing the learning process. However, time to converge to a stochastically stable state is exponential in the inverse of noise, which limits the use of stochastic stability as an effective solution concept for these dynamics. We propose a complete solution concept that qualitatively describes the state of the system at all times. The proposed concept is prevalent in control systems literature where a solution to a linear or a non-linear system has two parts, transient response and steady state response. Stochastic stability provides the steady state response of stochastic learning rules. In this work, we study its transient properties. Starting from an initial condition, we identify the subsets of the state space called cycles that have small hitting times and long exit times. Over the long time scales, we provide a description of how the distributions over joint action profiles transition from one cycle to another till it reaches the globally optimal state.

Facilitative and obstructive factors in the clinical learning environment: Experiences of pupil enrolled nurses

Directory of Open Access Journals (Sweden)

Eucebious Lekalakala-Mokgele

2015-03-01

Full Text Available Background: The clinical learning environment is a complex social entity that influences student learning outcomes in the clinical setting. Students can experience the clinical learning environment as being both facilitative and obstructive to their learning. The clinical environment may be a source of stress, creating feelings of fear and anxiety which in turn affect the students’ responses to learning. Equally, the environment can enhance learning if experienced positively. Objectives: This study described pupil enrolled nurses’ experiences of facilitative and obstructive factors in military and public health clinical learning settings. Method: Using a qualitative, contextual, exploratory descriptive design, three focus group interviews were conducted until data saturation was reached amongst pupil enrolled nurses in a military School of Nursing. Results: Data analysed provided evidence that acceptance by clinical staff and affordance of self-directed learning facilitated learning. Students felt safe to practise when they were supported by the clinical staff. They felt a sense of belonging when the staff showed an interest in and welcomed them. Learning was obstructed when students were met with condescending comments. Wearing of a military uniform in the public hospital and horizontal violence obstructed learning in the clinical learning environment. Conclusion: Students cannot have effective clinical preparation if the environment is not conducive to and supportive of clinical learning, The study shows that military nursing students experience unique challenges as they are trained in two professions that are hierarchical in nature. The students experienced both facilitating and obstructing factors to their learning during their clinical practice. Clinical staff should be made aware of factors which can impact on students’ learning. Policies need to be developed for supporting students in the clinical learning

The Professional Learning Experiences of Non-Mathematics Subject Specialist Teachers: A Descriptive Study

OpenAIRE

Ho Younghusband, Alice Christine

2017-01-01

Certified teachers in British Columbia (BC) schools can be assigned to teach secondary mathematics without having a major, minor, or formal background in mathematics. This is known as out-of-field teaching. These non-mathematics subject specialist teachers (NMSSTs) must learn or relearn the subject matter of mathematics to teach secondary mathematics. This study investigates what professional learning activities NMSSTs participate in to gain subject matter content knowledge in mathematics, wh...

40 CFR 464.40 - Applicability; description of the zinc casting subcategory.

Science.gov (United States)

2010-07-01

... casting subcategory. 464.40 Section 464.40 Protection of Environment ENVIRONMENTAL PROTECTION AGENCY (CONTINUED) EFFLUENT GUIDELINES AND STANDARDS METAL MOLDING AND CASTING POINT SOURCE CATEGORY Zinc Casting Subcategory § 464.40 Applicability; description of the zinc casting subcategory. The provisions of this...

40 CFR 405.120 - Applicability; description of the dry whey subcategory.

Science.gov (United States)

2010-07-01

... whey subcategory. 405.120 Section 405.120 Protection of Environment ENVIRONMENTAL PROTECTION AGENCY (CONTINUED) EFFLUENT GUIDELINES AND STANDARDS DAIRY PRODUCTS PROCESSING POINT SOURCE CATEGORY Dry Whey Subcategory § 405.120 Applicability; description of the dry whey subcategory. The provisions of this subpart...

Open source drug discovery in practice: a case study.

Science.gov (United States)

Årdal, Christine; Røttingen, John-Arne

2012-01-01

Open source drug discovery offers potential for developing new and inexpensive drugs to combat diseases that disproportionally affect the poor. The concept borrows two principle aspects from open source computing (i.e., collaboration and open access) and applies them to pharmaceutical innovation. By opening a project to external contributors, its research capacity may increase significantly. To date there are only a handful of open source R&D projects focusing on neglected diseases. We wanted to learn from these first movers, their successes and failures, in order to generate a better understanding of how a much-discussed theoretical concept works in practice and may be implemented. A descriptive case study was performed, evaluating two specific R&D projects focused on neglected diseases. CSIR Team India Consortium's Open Source Drug Discovery project (CSIR OSDD) and The Synaptic Leap's Schistosomiasis project (TSLS). Data were gathered from four sources: interviews of participating members (n = 14), a survey of potential members (n = 61), an analysis of the websites and a literature review. Both cases have made significant achievements; however, they have done so in very different ways. CSIR OSDD encourages international collaboration, but its process facilitates contributions from mostly Indian researchers and students. Its processes are formal with each task being reviewed by a mentor (almost always offline) before a result is made public. TSLS, on the other hand, has attracted contributors internationally, albeit significantly fewer than CSIR OSDD. Both have obtained funding used to pay for access to facilities, physical resources and, at times, labor costs. TSLS releases its results into the public domain, whereas CSIR OSDD asserts ownership over its results. Technically TSLS is an open source project, whereas CSIR OSDD is a crowdsourced project. However, both have enabled high quality research at low cost. The critical success factors appear to be clearly

Strategic Decision-Making Learning from Label Distributions: An Approach for Facial Age Estimation.

Science.gov (United States)

Zhao, Wei; Wang, Han

2016-06-28

Nowadays, label distribution learning is among the state-of-the-art methodologies in facial age estimation. It takes the age of each facial image instance as a label distribution with a series of age labels rather than the single chronological age label that is commonly used. However, this methodology is deficient in its simple decision-making criterion: the final predicted age is only selected at the one with maximum description degree. In many cases, different age labels may have very similar description degrees. Consequently, blindly deciding the estimated age by virtue of the highest description degree would miss or neglect other valuable age labels that may contribute a lot to the final predicted age. In this paper, we propose a strategic decision-making label distribution learning algorithm (SDM-LDL) with a series of strategies specialized for different types of age label distribution. Experimental results from the most popular aging face database, FG-NET, show the superiority and validity of all the proposed strategic decision-making learning algorithms over the existing label distribution learning and other single-label learning algorithms for facial age estimation. The inner properties of SDM-LDL are further explored with more advantages.

Developing mathematics learning set for special-needs junior high school student oriented to learning interest and achievement

Directory of Open Access Journals (Sweden)

Ai Sadidah

2016-11-01

Full Text Available This study aims to produce a mathematics learning set for special-needs students (mathematical learning disability and mathematically gifted of Junior High School Grade VIII Second Semester oriented to learning interests and achievement which is valid, practical, and effective. This study was a research and development study using the Four-D development model consisting of four stages: (1 define, (2 design, (3 develop, and (4 disseminate. The quality of learning set consisting of the following three criterions: (1 validity, (2 practicality, and (3 effectiveness.  The data analysis technique used in this study is a descriptive quantitative analysis. The research produced learning set consisting of lesson plans and student worksheets. The result of the research shows that: (1 the learning set fulfill the valid criteria base on experts’ appraisal; (2 the learning set fulfill the practical criterion base on teacher’s and students’ questionnaire, and observation of learning implementation; (3 the learning set fulfill the effectiveness criterion base on learning interest and achievement.

A European perspective on e-learning

DEFF Research Database (Denmark)

Dirckinck-Holmfeld, Lone

2004-01-01

E-learning at Work , edited by Anne Marie Kanstrup. Roskilde Universitetsforlag, pages Pp.15-29. 2004 Short description: Based on a survey of 149 European e-learning and adult vocational training projects, the author presents examples of how ICT facilitates a positive change and development...... of workplace-related learning. Abstract: Based on a survey of 149 European e-learning and adult vocational training projects, the author presents examples of how ICT facilitates a positive change and development of workplace-related learning.The chapter ends with a suggestion for a historical categorisation...... that focus is on designing the technical tools rather than on the use of tools for e-learning in general, where ICT is just one integrated element among many: objective, motivation, ways to learning, profession, workplace etc. The rojects also reveal that different European countries move at different paces...

DEVELOPMENT OF AN E-LEARNING WEB PORTAL: The Foss Approach

Directory of Open Access Journals (Sweden)

Azeta A. A.

2008-04-01

Full Text Available With the vast development of various technologies, learning today is no longer confined to classrooms with lecture delivery as the only method of conveying knowledge, rather, an electronic means of learning has continued to evolve. Electronic learning (e-Learning, which facilitates education using communications networks, has made learning possible from anywhere at anytime using the Internet, wide area networks or local area networks. Notably, e-Learning applications which have now become central to the learning process may be developed using proprietary programming tools and the process of acquiring and using them to develop large software application is not only complex but require a huge sum of money. A viable alternative is to utilize the open source software platform that allows software engineers and institutions the right to reuse, study, distribute and localize to satisfy user’s requirements. This paper provides an overview of e-Learning and the open source domain as well as discusses how open source can be used to speedily realizes the development of an e-Learning application in a web environment using an adaptive process. Specifically, the authors described their preliminary experiment of implementing an open source e-Learning platform by adapting free PHP source code and MySQL database to suit an electronic class bulletin board.

ANALYSIS LEARNING MODEL OF DISCOVERY AND UNDERSTANDING THE CONCEPT PRELIMINARY TO PHYSICS LEARNING OUTCOMES SMA

Directory of Open Access Journals (Sweden)

Sri Rosepda Sebayang

2015-12-01

Full Text Available This study aims: 1 to determine whether the student learning outcomes using discovery learning is better than conventional learning 2 To determine whether the learning outcomes of students who have a high initial concept understanding better then of low initial concept understanding, and 3 to determine the effect of interaction discovery learning and understanding of the initial concept of the learning outcomes of students. The samples in this study was taken by cluster random sampling two classes where class X PIA 3 as a class experiment with applying discovery learning and class X PIA 2 as a control class by applying conventional learning. The instrument used in this study is a test of learning outcomes in the form of multiple-choice comprehension test initial concept description form. The results of research are: 1 learning outcomes of students who were taught with discovery learning is better than the learning outcomes of students who are taught by conventional learning, 2 student learning outcomes with high initial conceptual understanding better than the learning outcomes of students with low initial conceptual understanding, and 3 there was no interaction between discovery learning and understanding of initial concepts for the student learning outcomes.

Crowd-sourcing higher education architecting the sustainable design and development of E-Learning in Africa

Directory of Open Access Journals (Sweden)

Griff Richards

2013-01-01

Full Text Available Post-secondary access in Africa hovers around 6%, in part because there is a lack of access to physical campuses. In Phase I of the African Virtual University’s Multinational Project, 73 undergraduate courses were developed and published as OERs in English, French and Portuguese. These in turn were adopted and localized by African universities. While over 1.3 million downloads of the materials have taken place in the last 5 years, no attempt was made to harness the input of user to maintain or improve the courses. Seven years later, the African Virtual University will renew these courses along with another 50 or so in disciplines of high demand. But this time the AVU architecture will call for a sustainable approach to e-learning that challenges the 22 universities in 15 countries to not only help further develop the courses, but also to maintain them and sustain them across multiple languages.This article discusses the potential role of crowd-sourcing in curriculum development, and sketches a preliminary architecture for building a community of practice to sustain e-Learning in Africa. 

Distinguishing Features and Similarities Between Descriptive Phenomenological and Qualitative Description Research.

Science.gov (United States)

Willis, Danny G; Sullivan-Bolyai, Susan; Knafl, Kathleen; Cohen, Marlene Z

2016-09-01

Scholars who research phenomena of concern to the discipline of nursing are challenged with making wise choices about different qualitative research approaches. Ultimately, they want to choose an approach that is best suited to answer their research questions. Such choices are predicated on having made distinctions between qualitative methodology, methods, and analytic frames. In this article, we distinguish two qualitative research approaches widely used for descriptive studies: descriptive phenomenological and qualitative description. Providing a clear basis that highlights the distinguishing features and similarities between descriptive phenomenological and qualitative description research will help students and researchers make more informed choices in deciding upon the most appropriate methodology in qualitative research. We orient the reader to distinguishing features and similarities associated with each approach and the kinds of research questions descriptive phenomenological and qualitative description research address. © The Author(s) 2016.

THE CONCEPT OF LANGUAGE LEARNING IN BEHAVIORISM PERSPECTIVE

Directory of Open Access Journals (Sweden)

Khoiru Rakhman Abidin

2016-07-01

Full Text Available The aims of the study are (1 the concepts of language learning in behaviorism perspective, (2 the relation between language and learning in behaviorism perspective, (3 the influence of behaviorism in language learning. This is a descriptive qualitative study. The results showed that (1 behaviorism theories of languages also give good contribution in language learning process that describes a child can learn language from their environments, (2 behaviorism perspective defines as change of behavior through experience, it means human learn something from their environments, (3 human uses language for communication in the world and he also spreads his culture with his language so  human gets  knowledge of language through learning.

Using Game Theory and Competition-Based Learning to Stimulate Student Motivation and Performance

Science.gov (United States)

Burguillo, Juan C.

2010-01-01

This paper introduces a framework for using Game Theory tournaments as a base to implement Competition-based Learning (CnBL), together with other classical learning techniques, to motivate the students and increase their learning performance. The paper also presents a description of the learning activities performed along the past ten years of a…

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.

Operant Conditioning and Learning: Examples, Sources, Technology.

Science.gov (United States)

Pedrini, Bonnie C.; Pedrini, D. T.

The purpose of this paper is to relate psychology to teaching generally, and to relate behavior shaping to curriculum, specifically. Focusing on operant conditioning and learning, many studies are cited which illustrate some of the work being done toward effectively shaping or modifying student behavior whether in terms of subject matter or…

40 CFR 440.40 - Applicability; description of the mercury ore subcategory.

Science.gov (United States)

2010-07-01

... mercury ore subcategory. 440.40 Section 440.40 Protection of Environment ENVIRONMENTAL PROTECTION AGENCY (CONTINUED) EFFLUENT GUIDELINES AND STANDARDS ORE MINING AND DRESSING POINT SOURCE CATEGORY Mercury Ore Subcategory § 440.40 Applicability; description of the mercury ore subcategory. The provisions of subpart D...

Learning from hackers: open-source clinical trials.

Science.gov (United States)

Dunn, Adam G; Day, Richard O; Mandl, Kenneth D; Coiera, Enrico

2012-05-02

Open sharing of clinical trial data has been proposed as a way to address the gap between the production of clinical evidence and the decision-making of physicians. A similar gap was addressed in the software industry by their open-source software movement. Here, we examine how the social and technical principles of the movement can guide the growth of an open-source clinical trial community.

Simpevarp - site descriptive model version 0

International Nuclear Information System (INIS)

2002-11-01

SICADA and SKB GIS, and an inventory and assessment of relevant data in other databases; a systematic overview of data needs and availability for developing a site descriptive model for the surface ecosystems (biosphere) in the Simpevarp regional model area; a more detailed treatment of the present data base for the geosphere in the Simpevarp regional model area, and its transformation into the format of a site descriptive model. V. 0 modelling is based on data available before the start of site investigations, mostly collected for reasons not directly related to the deep disposal of spent nuclear fuel. An important component of the present work, therefore, is a data inventory, in which the location and scope of all potential sources of data is detailed and evaluated with respect to prospective usefulness for future site descriptive modelling for deep disposal. This includes a general description of existing geographical data, of which most are stored in SKB GIS, a survey of data already stored in the SICADA database, and an inventory of other data sources, whose information content has not yet been evaluated and/or inserted in SICADA or SKB GIS. Data sources relevant to the Simpevarp regional model area which still, to some degree, need to be evaluated/converted/inserted include the siting and construction of spent fuel interim storage facility, CLAB, and the siting, pre-investigation, predictive modelling and construction of the Aespoe Hard Rock Laboratory. The present report describes the current level of knowledge of the surface ecosystems in the Simpevarp regional model area, in a highly condensed form. It refers to, and draws its examples from, a series of SKB background reports which have been produced since the completion of the Oskarshamn feasibility study, and a number of other sources of information which are gathered here for the first time. The data sources are outlined with reference to a series of functional ecosystem types: drainage areas, forest, wetland

Connecting through Comics: Expanding Opportunities for Teaching and Learning

Science.gov (United States)

Bolton-Gary, Cynthia

2012-01-01

When students are faced with learning abstract contents, creating meaningful teaching and learning opportunities is a challenge for many educators. Concerns for how to get students to connect theoretical constructs and apply them to the "real world" is especially critical for those students studying to be teachers. This descriptive study…

Effect of Demographic Factors on E-Learning Effectiveness in a Higher Learning Institution in Malaysia

Science.gov (United States)

Islam, Md. Aminul; Rahim, Noor Asliza Abdul; Liang, Tan Chee; Momtaz, Hasina

2011-01-01

This research attempted to find out the effect of demographic factors on the effectiveness of the e-learning system in a higher learning Institution. The students from this institution were randomly selected in order to evaluate the effectiveness of learning system in student's learning process. The primary data source is the questionnaires that…

Automatic classification of time-variable X-ray sources

Energy Technology Data Exchange (ETDEWEB)

Lo, Kitty K.; Farrell, Sean; Murphy, Tara; Gaensler, B. M. [Sydney Institute for Astronomy, School of Physics, The University of Sydney, Sydney, NSW 2006 (Australia)

2014-05-01

To maximize the discovery potential of future synoptic surveys, especially in the field of transient science, it will be necessary to use automatic classification to identify some of the astronomical sources. The data mining technique of supervised classification is suitable for this problem. Here, we present a supervised learning method to automatically classify variable X-ray sources in the Second XMM-Newton Serendipitous Source Catalog (2XMMi-DR2). Random Forest is our classifier of choice since it is one of the most accurate learning algorithms available. Our training set consists of 873 variable sources and their features are derived from time series, spectra, and other multi-wavelength contextual information. The 10 fold cross validation accuracy of the training data is ∼97% on a 7 class data set. We applied the trained classification model to 411 unknown variable 2XMM sources to produce a probabilistically classified catalog. Using the classification margin and the Random Forest derived outlier measure, we identified 12 anomalous sources, of which 2XMM J180658.7–500250 appears to be the most unusual source in the sample. Its X-ray spectra is suggestive of a ultraluminous X-ray source but its variability makes it highly unusual. Machine-learned classification and anomaly detection will facilitate scientific discoveries in the era of all-sky surveys.

Automatic classification of time-variable X-ray sources

International Nuclear Information System (INIS)

Lo, Kitty K.; Farrell, Sean; Murphy, Tara; Gaensler, B. M.

2014-01-01

To maximize the discovery potential of future synoptic surveys, especially in the field of transient science, it will be necessary to use automatic classification to identify some of the astronomical sources. The data mining technique of supervised classification is suitable for this problem. Here, we present a supervised learning method to automatically classify variable X-ray sources in the Second XMM-Newton Serendipitous Source Catalog (2XMMi-DR2). Random Forest is our classifier of choice since it is one of the most accurate learning algorithms available. Our training set consists of 873 variable sources and their features are derived from time series, spectra, and other multi-wavelength contextual information. The 10 fold cross validation accuracy of the training data is ∼97% on a 7 class data set. We applied the trained classification model to 411 unknown variable 2XMM sources to produce a probabilistically classified catalog. Using the classification margin and the Random Forest derived outlier measure, we identified 12 anomalous sources, of which 2XMM J180658.7–500250 appears to be the most unusual source in the sample. Its X-ray spectra is suggestive of a ultraluminous X-ray source but its variability makes it highly unusual. Machine-learned classification and anomaly detection will facilitate scientific discoveries in the era of all-sky surveys.

40 CFR 415.110 - Applicability; description of the potassium metal production subcategory.

Science.gov (United States)

2010-07-01

... potassium metal production subcategory. 415.110 Section 415.110 Protection of Environment ENVIRONMENTAL... SOURCE CATEGORY Potassium Metal Production Subcategory § 415.110 Applicability; description of the potassium metal production subcategory. The provisions of this subpart are applicable to discharges...

40 CFR 465.20 - Applicability; description of the galvanized basis material subcategory.

Science.gov (United States)

2010-07-01

... galvanized basis material subcategory. 465.20 Section 465.20 Protection of Environment ENVIRONMENTAL PROTECTION AGENCY (CONTINUED) EFFLUENT GUIDELINES AND STANDARDS COIL COATING POINT SOURCE CATEGORY Galvanized Basis Material Subcategory § 465.20 Applicability; description of the galvanized basis material...

77 FR 43864 - Solicitation for a Cooperative Agreement-Development of a 21st Century Corrections Learning...

Science.gov (United States)

2012-07-26

... levels of responsibility and job descriptions; (3) A narrative describing existing workplace learning...--Development of a 21st Century Corrections Learning Professional Competency Model AGENCY: National Institute of... Corrections Learning Professional Competency Model. This project will identify the workplace learning...

The Ocean: Source of Nutrition for the Future. A Learning Experience for Coastal and Oceanic Awareness Studies, No. 305. [Project COAST].

Science.gov (United States)

Delaware Univ., Newark. Coll. of Education.

The question of future sources of food is posed with increasing frequency as the amount of arable land per person decreases with population growth. The role of the ocean as a food supplier is currently being explored. This learning experience is designed for secondary school students. It is divided into four major areas: (1) an overview, (2)…

Correlation Between Blended Learning Model With The Perspective Of Learning Effectiveness For Nursing Student

Directory of Open Access Journals (Sweden)

Susila Sumartiningsih

2015-06-01

Full Text Available ABSTRACT The learning model is one of the enabling factors that influence the achievement of students. That students have a good learning outcomes the lecturer must choose appropriate learning models. But in fact not all lecturers choose the most appropriate learning model with the demands of learning outcomes and student characteristics.The study design was descriptive quantitative correlation. Total population of 785 the number of samples are 202 were taken by purposive sampling. Techniques of data collection is done by cross-sectional and then processed through the Spearman test. The results showed no significant relationship between classroom lecture method in the context of blended learning models to study the effectiveness perspective the p value of 0.001. There is a significant relationship between e-learning methods in the context of blended learning models with perspective of activities study of nursing students the p value of 0.028. There is a significant relationship between learning model of blended learning with the perspective of nursing students learning effectiveness p value 0.167. Researchers recommend to future researchers conduct more research on the comparison between the effectiveness of the learning model based on student learning centers with the e-learning models and its impact on student achievement of learning competencies as well as to the implications for other dimensions of learning outcomes and others.

10 CFR 39.77 - Notification of incidents and lost sources; abandonment procedures for irretrievable sources.

Science.gov (United States)

2010-01-01

... RADIATION SAFETY REQUIREMENTS FOR WELL LOGGING Security, Records, Notifications § 39.77 Notification of... of the drilling operation. The report must contain the following information: (1) Date of occurrence; (2) A description of the irretrievable well logging source involved including the radionuclide and...

40 CFR 421.140 - Applicability: Description of the primary antimony subcategory.

Science.gov (United States)

2010-07-01

... 40 Protection of Environment 28 2010-07-01 2010-07-01 true Applicability: Description of the primary antimony subcategory. 421.140 Section 421.140 Protection of Environment ENVIRONMENTAL PROTECTION AGENCY (CONTINUED) EFFLUENT GUIDELINES AND STANDARDS NONFERROUS METALS MANUFACTURING POINT SOURCE CATEGORY Primary Antimony Subcategory § 421.140...

Portuguese Coaches' Perceptions of and Preferences for Knowledge Sources Related to their Professional Background.

Science.gov (United States)

Mesquita, Isabel; Isidro, Sofia; Rosado, António

2010-01-01

The purpose of this study was to analyse Portuguese coaches' perceptions of, and preferences for, knowledge sources as related to professional background; namely academic education level, coach education level and coaching experience. The study's participants comprised 336 Portuguese coaches from twenty-two sports. A questionnaire was used to identify coaches' demographic characteristics and representations about their preferred sources of coaching knowledge. MANOVA using Tukey's HSD test was used to compare groups. The results highlighted that coaches perceived that coaching knowledge is built from a broad range of sources from personal coaching and playing experiences to more explicit formal, informal and non-formal learning situations. Results indicated that the coaches ascribed more importance to experiential sources such as working with experts, learning by doing, interacting with peer coaches and attending informal seminars and clinics, than to the formal learning situations provided by the national coaching certification programs. Differences, however, were found in that coaches who had a greater background within higher education (physical) and sport valued informal and non-formal learning sources more than did coaches who were defined as not coming from an academic background. The findings point to the importance of developing new learning, experientially-based, opportunities within the Portuguese context, where curricula content continues to be delivered via didactic means. Key pointsCoaches recognized that learning is obtained from a broad range of sources of coaching knowledge and each source has a particular role in the development of a coach.Experiential guided sources reached more importance to coaches as working with experts, learning by doing, attending seminars/clinics outside of the formal system and interaction with peers were the most acknowledged.The only source that is related to formal learning, national certification programs, was

Portuguese Coaches’ Perceptions of and Preferences for Knowledge Sources Related to their Professional Background

Science.gov (United States)

Mesquita, Isabel; Isidro, Sofia; Rosado, António

2010-01-01

The purpose of this study was to analyse Portuguese coaches’ perceptions of, and preferences for, knowledge sources as related to professional background; namely academic education level, coach education level and coaching experience. The study’s participants comprised 336 Portuguese coaches from twenty-two sports. A questionnaire was used to identify coaches’ demographic characteristics and representations about their preferred sources of coaching knowledge. MANOVA using Tukey’s HSD test was used to compare groups. The results highlighted that coaches perceived that coaching knowledge is built from a broad range of sources from personal coaching and playing experiences to more explicit formal, informal and non-formal learning situations. Results indicated that the coaches ascribed more importance to experiential sources such as working with experts, learning by doing, interacting with peer coaches and attending informal seminars and clinics, than to the formal learning situations provided by the national coaching certification programs. Differences, however, were found in that coaches who had a greater background within higher education (physical) and sport valued informal and non-formal learning sources more than did coaches who were defined as not coming from an academic background. The findings point to the importance of developing new learning, experientially-based, opportunities within the Portuguese context, where curricula content continues to be delivered via didactic means. Key points Coaches recognized that learning is obtained from a broad range of sources of coaching knowledge and each source has a particular role in the development of a coach. Experiential guided sources reached more importance to coaches as working with experts, learning by doing, attending seminars/clinics outside of the formal system and interaction with peers were the most acknowledged. The only source that is related to formal learning, national certification programs

Cognitive Architectures for Multimedia Learning

Science.gov (United States)

Reed, Stephen K.

2006-01-01

This article provides a tutorial overview of cognitive architectures that can form a theoretical foundation for designing multimedia instruction. Cognitive architectures include a description of memory stores, memory codes, and cognitive operations. Architectures that are relevant to multimedia learning include Paivio's dual coding theory,…

40 CFR 415.420 - Applicability; description of the hydrogen cyanide production subcategory.

Science.gov (United States)

2010-07-01

... hydrogen cyanide production subcategory. 415.420 Section 415.420 Protection of Environment ENVIRONMENTAL... SOURCE CATEGORY Hydrogen Cyanide Production Subcategory § 415.420 Applicability; description of the hydrogen cyanide production subcategory. This subpart applies to discharges to waters of the United States...

40 CFR 407.40 - Applicability; description of the frozen potato products subcategory.

Science.gov (United States)

2010-07-01

... frozen potato products subcategory. 407.40 Section 407.40 Protection of Environment ENVIRONMENTAL... PROCESSING POINT SOURCE CATEGORY Frozen Potato Products Subcategory § 407.40 Applicability; description of the frozen potato products subcategory. The provisions of this subpart are applicable to discharges...

40 CFR 407.50 - Applicability; description of the dehydrated potato products subcategory.

Science.gov (United States)

2010-07-01

... dehydrated potato products subcategory. 407.50 Section 407.50 Protection of Environment ENVIRONMENTAL... PROCESSING POINT SOURCE CATEGORY Dehydrated Potato Products Subcategory § 407.50 Applicability; description of the dehydrated potato products subcategory. The provisions of this subpart are applicable to...

40 CFR 415.220 - Applicability; description of the titanium dioxide production subcategory.

Science.gov (United States)

2010-07-01

... titanium dioxide production subcategory. 415.220 Section 415.220 Protection of Environment ENVIRONMENTAL... SOURCE CATEGORY Titanium Dioxide Production Subcategory § 415.220 Applicability; description of the titanium dioxide production subcategory. This subpart applies to discharges to waters of the United States...

Synchrotron light source data book

International Nuclear Information System (INIS)

Murphy, J.

1989-01-01

The ''Synchrotron Light Source Data Book'' is as its name implies a collection of data on existing and planned synchrotron light sources. The intention was to provide a compendium of tools for the design of electron storage rings as synchrotron radiation sources. The slant is toward the accelerator physicist as other booklets such as the X-ray Data Booklet, edited by D. Vaughan (LBL PUB-490), address the 'use' of synchrotron radiation. It is hoped that the booklet serves as a pocket sized reference to facilitate back of the envelope type calculations. It contains some useful formulae in 'practical units' and a brief description of many of the existing and planned light source lattices

Toward A Dual-Learning Systems Model of Speech Category Learning

Directory of Open Access Journals (Sweden)

Bharath eChandrasekaran

2014-07-01

Full Text Available More than two decades of work in vision posits the existence of dual-learning systems of category learning. The reflective system uses working memory to develop and test rules for classifying in an explicit fashion, while the reflexive system operates by implicitly associating perception with actions that lead to reinforcement. Dual-learning systems models hypothesize that in learning natural categories, learners initially use the reflective system and, with practice, transfer control to the reflexive system. The role of reflective and reflexive systems in auditory category learning and more specifically in speech category learning has not been systematically examined. In this article we describe a neurobiologically-constrained dual-learning systems theoretical framework that is currently being developed in speech category learning and review recent applications of this framework. Using behavioral and computational modeling approaches, we provide evidence that speech category learning is predominantly mediated by the reflexive learning system. In one application, we explore the effects of normal aging on non-speech and speech category learning. We find an age related deficit in reflective-optimal but not reflexive-optimal auditory category learning. Prominently, we find a large age-related deficit in speech learning. The computational modeling suggests that older adults are less likely to transition from simple, reflective, uni-dimensional rules to more complex, reflexive, multi-dimensional rules. In a second application we summarize a recent study examining auditory category learning in individuals with elevated depressive symptoms. We find a deficit in reflective-optimal and an enhancement in reflexive-optimal auditory category learning. Interestingly, individuals with elevated depressive symptoms also show an advantage in learning speech categories. We end with a brief summary and description of a number of future directions.

Implementation of student’s worksheet based on project based learning (pjbl to foster student’s creativity

Directory of Open Access Journals (Sweden)

Sahtoni Sahtoni

2017-12-01

Full Text Available This study aimed to foster student creativity through the use of student worksheet based on Project Base Learning (PjBL on dynamic electrical material in making alternative power sources. The research method is using a pre-experimental design with One-Shot case study type. The study population was students of class IX MTs Al-Islah in Pesawaran Lampung. A sample of one class consisting  of 30 people was obtained by purposive sumpling. Data analysis was done by using descriptive concerning creativity, product, and response of students to see effectiveness of learning. The results showed that the application of student worksheet based on project based learning is overall effective to foster creativity of student. Based on the average of student’s creativity, the result is 80% which categorized as “creative.” Based on the average of student’s product, the result is 76.2% which categorized as “valuable.” The student’s response is positive as much as 92% which categorized as “very agree.”

History Sources on the Internet.

Science.gov (United States)

Fink, Kenneth D.

This paper provides descriptions of key online history resources useful to teachers, librarians, and other education professionals. Highlights include: primary sources on the Internet; archives; Online Public Access Catalogs (OPACs); the American Historical Association (AHA) Web site; state and federal government resources; business history…

Learning Styles of Mexican Food Science and Engineering Students

Science.gov (United States)

Palou, Enrique

2006-01-01

People have different learning styles that are reflected in different academic strengths, weaknesses, skills, and interests. Given the almost unlimited variety of job descriptions within food science and engineering, it is safe to say that students with every possible learning style have the potential to succeed as food scientists and engineers.…

Budgeted Interactive Learning

Science.gov (United States)

2017-06-15

2, and 3). The selection scheme is implemented and released as an open-source active learning package. They have studied theories for designing...We have studied theories for designing algorithms for interactive learning with batch-like feedback (for 1) and algorithms for online digestion of... necessity on pre-training. The new idea provides layer-wise cost estimation with auxiliary nodes, and is applicable to a wider range of deep learning

Why formal learning theory matters for cognitive science.

Science.gov (United States)

Fulop, Sean; Chater, Nick

2013-01-01

This article reviews a number of different areas in the foundations of formal learning theory. After outlining the general framework for formal models of learning, the Bayesian approach to learning is summarized. This leads to a discussion of Solomonoff's Universal Prior Distribution for Bayesian learning. Gold's model of identification in the limit is also outlined. We next discuss a number of aspects of learning theory raised in contributed papers, related to both computational and representational complexity. The article concludes with a description of how semi-supervised learning can be applied to the study of cognitive learning models. Throughout this overview, the specific points raised by our contributing authors are connected to the models and methods under review. Copyright © 2013 Cognitive Science Society, Inc.

Local wisdom of Ngata Toro community in utilizing forest resources as a learning source of biology

Science.gov (United States)

Yuliana, Sriyati, Siti; Sanjaya, Yayan

2017-08-01

Indonesian society is a pluralistic society with different cultures and local potencies that exist in each region. Some of local community still adherethe tradition from generation to generation in managing natural resources wisely. The application of the values of local wisdom is necessary to teach back to student to be more respect the culture and local potentials in the region. There are many ways developing student character by exploring local wisdom and implementing them as a learning resources. This study aims at revealing the values of local wisdom Ngata Toro indigenous people of Central Sulawesi Province in managing forest as a source of learning biology. This research was conducted by in-depth interviews, participant non-observation, documentation studies, and field notes. The data were analyzed with triangulation techniques by using a qualitative interaction analysis that is data collection, data reduction, and data display. Ngata Toro local community manage forest by dividing the forest into several zones, those arewana ngkiki, wana, pangale, pahawa pongko, oma, and balingkea accompanied by rules in the management of result-based forest conservation and sustainable utilization. By identifying the purpose of zonation and regulation of the forest, such values as the value of environmental conservation, balance value, sustainable value, and the value of mutual cooperation. These values are implemented as a biological learning resource which derived from the competences standard of analyze the utilization and conservation of the environment.

Writing to Learn Statistics in an Advanced Placement Statistics Course

Science.gov (United States)

Northrup, Christian Glenn

2012-01-01

This study investigated the use of writing in a statistics classroom to learn if writing provided a rich description of problem-solving processes of students as they solved problems. Through analysis of 329 written samples provided by students, it was determined that writing provided a rich description of problem-solving processes and enabled…

Elementary school children's science learning from school field trips

Science.gov (United States)

Glick, Marilyn Petty

This research examines the impact of classroom anchoring activities on elementary school students' science learning from a school field trip. Although there is prior research demonstrating that students can learn science from school field trips, most of this research is descriptive in nature and does not examine the conditions that enhance or facilitate such learning. The current study draws upon research in psychology and education to create an intervention that is designed to enhance what students learn from school science field trips. The intervention comprises of a set of "anchoring" activities that include: (1) Orientation to context, (2) Discussion to activate prior knowledge and generate questions, (3) Use of field notebooks during the field trip to record observations and answer questions generated prior to field trip, (4) Post-visit discussion of what was learned. The effects of the intervention are examined by comparing two groups of students: an intervention group which receives anchoring classroom activities related to their field trip and an equivalent control group which visits the same field trip site for the same duration but does not receive any anchoring classroom activities. Learning of target concepts in both groups was compared using objective pre and posttests. Additionally, a subset of students in each group were interviewed to obtain more detailed descriptive data on what children learned through their field trip.

40 CFR 440.90 - Applicability; description of the antimony ore subcategory.

Science.gov (United States)

2010-07-01

... 40 Protection of Environment 29 2010-07-01 2010-07-01 false Applicability; description of the antimony ore subcategory. 440.90 Section 440.90 Protection of Environment ENVIRONMENTAL PROTECTION AGENCY (CONTINUED) EFFLUENT GUIDELINES AND STANDARDS ORE MINING AND DRESSING POINT SOURCE CATEGORY Antimony Ore Subcategory § 440.90 Applicability;...

Factors Contributing to Changes in a Deep Approach to Learning in Different Learning Environments

Science.gov (United States)

Postareff, Liisa; Parpala, Anna; Lindblom-Ylänne, Sari

2015-01-01

The study explored factors explaining changes in a deep approach to learning. The data consisted of interviews with 12 students from four Bachelor-level courses representing different disciplines. We analysed and compared descriptions of students whose deep approach either increased, decreased or remained relatively unchanged during their courses.…

Factors Influencing Learning Environments in an Integrated Experiential Program

Science.gov (United States)

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

40 CFR 415.340 - Applicability; description of the chrome pigments production subcategory.

Science.gov (United States)

2010-07-01

... chrome pigments production subcategory. 415.340 Section 415.340 Protection of Environment ENVIRONMENTAL... SOURCE CATEGORY Chrome Pigments Production Subcategory § 415.340 Applicability; description of the chrome pigments production subcategory. This subpart applies to discharges to waters of the United States and...

40 CFR 471.90 - Applicability; description of the zirconium-hafnium forming subcategory.

Science.gov (United States)

2010-07-01

... zirconium-hafnium forming subcategory. 471.90 Section 471.90 Protection of Environment ENVIRONMENTAL... POINT SOURCE CATEGORY Zirconium-Hafnium Forming Subcategory § 471.90 Applicability; description of the zirconium-hafnium forming subcategory. This subpart applies to discharges of pollutants to waters of the...

40 CFR 406.50 - Applicability; description of the normal rice milling subcategory.

Science.gov (United States)

2010-07-01

... 40 Protection of Environment 28 2010-07-01 2010-07-01 true Applicability; description of the normal rice milling subcategory. 406.50 Section 406.50 Protection of Environment ENVIRONMENTAL PROTECTION AGENCY (CONTINUED) EFFLUENT GUIDELINES AND STANDARDS GRAIN MILLS POINT SOURCE CATEGORY Normal Rice...

E-Learning and Role of World Wide Web in E-Learning

OpenAIRE

Jahankhani, Hossein

2012-01-01

This paper reviews some of the aspects of the E-learning through the World Wide Web. E-revolution as new phenomenon influenced the society by its means and strategies. E-learning is one of the sub-products of E-revolution, towards making more convenient and effective learning. In time Internet become a source of information, people start to learn through the Internet instead of books. It gives the flexibility to remote access at any time. The working people and the students are inspired by th...

A New Tool to Facilitate Learning Reading for Early Childhood

Science.gov (United States)

Puspitasari, Cita; Subiyanto

2017-01-01

This paper proposes a new android application for early childhood learning reading. The description includes a design, development, and an evaluation experiment of an educational game for learning reading on android. Before developing the game, Unified Modeling Language (UML) diagrams, interfaces, animation, narrative or audio were designed.…

Psychiatric Manifestations of Learning Disorders.

Science.gov (United States)

Gever, Benson E.

1991-01-01

This article examines the descriptive influences of reading and learning disorders on personality development. It discusses the effects of biologic vulnerabilities and environmental interaction, the variant patterns of defense and symptom development at various life stages, and evidence that early development failures are key elements in later…

A Pilot Study of a Criminal Justice Service-Learning Course: The Value of a Multicultural Approach

Science.gov (United States)

Hirschinger-Blank, Nancy; Simons, Lori; Finley, Laura; Clearly, Joseph; Thoerig, Michael

2013-01-01

This article provides a description and evaluation of a service-learning juvenile justice course designed to broaden university students' attitudes toward diversity issues. Diversity service learning integrates academic learning with community service by providing students with opportunities to learn about social disparities associated with…

Alternative Energy Sources

CERN Document Server

Michaelides, Efstathios E (Stathis)

2012-01-01

Alternative Energy Sources is designed to give the reader, a clear view of the role each form of alternative energy may play in supplying the energy needs of the human society in the near and intermediate future (20-50 years).   The two first chapters on energy demand and supply and environmental effects, set the tone as to why the widespread use of alternative energy is essential for the future of human society. The third chapter exposes the reader to the laws of energy conversion processes, as well as the limitations of converting one energy form to another. The sections on exergy give a succinct, quantitative background on the capability/potential of each energy source to produce power on a global scale. The fourth, fifth and sixth chapters are expositions of fission and fusion nuclear energy. The following five chapters (seventh to eleventh) include detailed descriptions of the most common renewable energy sources – wind, solar, geothermal, biomass, hydroelectric – and some of the less common sources...

The Analytical Repository Source-Term (AREST) model: Description and documentation

International Nuclear Information System (INIS)

Liebetrau, A.M.; Apted, M.J.; Engel, D.W.; Altenhofen, M.K.; Strachan, D.M.; Reid, C.R.; Windisch, C.F.; Erikson, R.L.; Johnson, K.I.

1987-10-01

The geologic repository system consists of several components, one of which is the engineered barrier system. The engineered barrier system interfaces with natural barriers that constitute the setting of the repository. A model that simulates the releases from the engineered barrier system into the natural barriers of the geosphere, called a source-term model, is an important component of any model for assessing the overall performance of the geologic repository system. The Analytical Repository Source-Term (AREST) model being developed is one such model. This report describes the current state of development of the AREST model and the code in which the model is implemented. The AREST model consists of three component models and five process models that describe the post-emplacement environment of a waste package. All of these components are combined within a probabilistic framework. The component models are a waste package containment (WPC) model that simulates the corrosion and degradation processes which eventually result in waste package containment failure; a waste package release (WPR) model that calculates the rates of radionuclide release from the failed waste package; and an engineered system release (ESR) model that controls the flow of information among all AREST components and process models and combines release output from the WPR model with failure times from the WPC model to produce estimates of total release. 167 refs., 40 figs., 12 tabs

Learning cooking skills at different ages: a cross-sectional study.

Science.gov (United States)

Lavelle, Fiona; Spence, Michelle; Hollywood, Lynsey; McGowan, Laura; Surgenor, Dawn; McCloat, Amanda; Mooney, Elaine; Caraher, Martin; Raats, Monique; Dean, Moira

2016-11-14

Cooking skills are increasingly included in strategies to prevent and reduce chronic diet-related diseases and obesity. While cooking interventions target all age groups (Child, Teen and Adult), the optimal age for learning these skills on: 1) skills retention, 2) cooking practices, 3) cooking attitudes, 4) diet quality and 5) health is unknown. Similarly, although the source of learning cooking skills has been previously studied, the differences in learning from these different sources has not been considered. This research investigated the associations of the age and source of learning with the aforementioned five factors. A nationally representative (Northern/Republic of Ireland) cross-sectional survey was undertaken with 1049 adults aged between 20-60 years. The survey included both measures developed and tested by the researchers as well as validated measures of cooking (e.g. chopping) and food skills (e.g. budgeting), cooking practices (e.g. food safety), cooking attitudes, diet quality and health. Respondents also stated when they learnt the majority of their skills and their sources of learning. The data was analysed using ANOVAs with post-hoc analysis and Chi 2 crosstabs with a significance level of 0.05. Results showed that child (skills, cooking practices, cooking attitudes, diet quality (with the exception of fibre intake where adult learners were higher) and health. Mother was the primary source of learning and those who learnt only from this source had significantly better outcomes on 12 of the 23 measures. This research highlights the importance of learning cooking skills at an early age for skill retention, confidence, cooking practices, cooking attitude and diet quality. Mother remained the primary source of learning, however, as there is a reported deskilling of domestic cooks, mothers may no longer have the ability to teach cooking skills to the next generation. A focus on alternative sources including practical cooking skills education starting

Using Cooperative Learning To Improve Reading and Writing in Language Arts.

Science.gov (United States)

Bromley, Karen; Modlo, Marcia

1997-01-01

Deals with S. Kagan's (1990) structural approach to cooperative learning and its application to language arts. Offers detailed descriptions of several cooperative learning structures, including Numbered Heads Together, Roundtable, Think-Pair-Share, Corners, and others. Provides examples from actual classroom settings, along with various teacher…

Fieldwork practice for learning: Lessons from occupational therapy students and their supervisors

Directory of Open Access Journals (Sweden)

Deshini Naidoo

2016-05-01

Full Text Available Background. Fieldwork practice forms a vital part of occupational therapy (OT education and contributes significantly to competent practice and students’ clinical reasoning. Students’ learning is positively or negatively influenced by their fieldwork experience. Objective. To explore the views and experiences of final-year OT students, site-based clinicians and university-based academic supervisors to identify strategies that influenced students’ learning during fieldwork practice. Methods. This descriptive qualitative study used a purposeful sampling technique. Data collection strategies included focus group discussions with clinical and academic supervisors and semistructured interviews with final-year students. Each set of data was analysed according to the research questions. The researcher analysed the data into themes, which were corroborated by a supervisor. Data source and analyst triangulation ensured trustworthiness of the study. Results. Two themes, i.e. difficulties experienced by students during fieldwork and supervision strategies that they found beneficial for learning, are described. Guidance and mentoring from experienced therapists helped students to link observations from assessments and intervention plans. Observations of treatment sessions, peer learning and practice in the skills laboratories were beneficial for learning, competence and confidence. Guided questions from supervisors to enhance reflexive practice and peer learning strengthened the students’ confidence and ability to give feedback to their peers. The students also benefited from sessions that allowed them the freedom and space to work autonomously. Conclusion. This study provides insight into the difficulties that students experienced when engaging with fieldwork and offers some strategies that have been found to advance their learning.

Automation in the Teaching of Descriptive Geometry and CAD. High-Level CAD Templates Using Script Languages

Science.gov (United States)

Moreno, R.; Bazán, A. M.

2017-10-01

The main purpose of this work is to study improvements to the learning method of technical drawing and descriptive geometry through exercises with traditional techniques that are usually solved manually by applying automated processes assisted by high-level CAD templates (HLCts). Given that an exercise with traditional procedures can be solved, detailed step by step in technical drawing and descriptive geometry manuals, CAD applications allow us to do the same and generalize it later, incorporating references. Traditional teachings have become obsolete and current curricula have been relegated. However, they can be applied in certain automation processes. The use of geometric references (using variables in script languages) and their incorporation into HLCts allows the automation of drawing processes. Instead of repeatedly creating similar exercises or modifying data in the same exercises, users should be able to use HLCts to generate future modifications of these exercises. This paper introduces the automation process when generating exercises based on CAD script files, aided by parametric geometry calculation tools. The proposed method allows us to design new exercises without user intervention. The integration of CAD, mathematics, and descriptive geometry facilitates their joint learning. Automation in the generation of exercises not only saves time but also increases the quality of the statements and reduces the possibility of human error.

Implementing Open Source Platform for Education Quality Enhancement in Primary Education: Indonesia Experience

Science.gov (United States)

Kisworo, Marsudi Wahyu

2016-01-01

Information and Communication Technology (ICT)-supported learning using free and open source platform draws little attention as open source initiatives were focused in secondary or tertiary educations. This study investigates possibilities of ICT-supported learning using open source platform for primary educations. The data of this study is taken…

Radioactive source manipulator and stowage device

International Nuclear Information System (INIS)

Burton, C.

1980-01-01

A description is given of a radioactive source manipulator and stowage device comprising: a cylindrical body; a transversely disposed socket formed near one end of said cylindrical body for receiving a radioactive source; a cylindrical sleeve rotatably mounted on said cylindrical body; and an aperture formed in the wall of said sleeve whereby rotation of said sleeve to axially align said aperture with said socket will permit a radioactive source to be inserted into and removed from said socket and rotation of said sleeve to move said aperture out of alignment with said socket when the socket contains a radioactive source readies the device for manipulation and stowage

A view of the tip of the iceberg: revisiting conceptual continuities and their implications for science learning

Science.gov (United States)

Brown, Bryan A.; Kloser, Matt

2009-12-01

We respond to Hwang and Kim and Yeo's critiques of the conceptual continuity framework in science education. First, we address the criticism that their analysis fails to recognize the situated perspective of learning by denying the dichotomy of the formal and informal knowledge as a starting point in the learning process. Second, we address the critique that students' descriptions fail to meet the "gold standard" of science education—alignment with an authoritative source and generalizability—by highlighting some student-expert congruence that could serve as the foundation for future learning. Third, we address the critique that a conceptual continuity framework could lead to less rigorous science education goals by arguing that the ultimate goals do not change, but rather that if the pathways that lead to the goals' achievement could recognize existing lexical continuities' science teaching may become more efficient. In sum, we argue that a conceptual continuities framework provides an asset, not deficit lexical perspective from which science teacher educators and science educators can begin to address and build complete science understandings.

The Effect Of Islamic Education Learning Pai And Learning Results To Students Religious Behavior Of Stisip Widyapuri Mandiri Sukabumi Student

Directory of Open Access Journals (Sweden)

U. Abdullah Mumin

2017-06-01

Full Text Available The purpose of this study is to measure the level of the effect of Islamic Education learning and learning result on religious behaviour in STISIP Widyapuri Mandiri Sukabumi. The method used in this research is quantitative analysis based on inferential statistical model. The data collection is done by using observation techniques interviews and questionnaires. The researcher analize the data by using logic analysis for qualitative and statistical analysis for quantitative data by using descriptive statistics regression and correlation. Based on the hypothesis test simultaneously PAI learning and learning result have a positive and significant effect on students religious behaviour. Partially only PAI learning alone has a positive and significant impact on religious behavior.

Development of Learning Models Based on Problem Solving and Meaningful Learning Standards by Expert Validity for Animal Development Course

Science.gov (United States)

Lufri, L.; Fitri, R.; Yogica, R.

2018-04-01

The purpose of this study is to produce a learning model based on problem solving and meaningful learning standards by expert assessment or validation for the course of Animal Development. This research is a development research that produce the product in the form of learning model, which consist of sub product, namely: the syntax of learning model and student worksheets. All of these products are standardized through expert validation. The research data is the level of validity of all sub products obtained using questionnaire, filled by validators from various field of expertise (field of study, learning strategy, Bahasa). Data were analysed using descriptive statistics. The result of the research shows that the problem solving and meaningful learning model has been produced. Sub products declared appropriate by expert include the syntax of learning model and student worksheet.

Problem-Based Learning in the Physical Science Classroom, K-12

Science.gov (United States)

McConnell, Tom J.; Parker, Joyce; Eberhardt, Janet

2018-01-01

"Problem-Based Learning in the Physical Science Classroom, K-12" will help your students truly understand concepts such as motion, energy, and magnetism in true-to-life contexts. The book offers a comprehensive description of why, how, and when to implement problem-based learning (PBL) in your curriculum. Its 14 developmentally…

Horizons of description: Black holes and complementarity

Science.gov (United States)

Bokulich, Peter Joshua Martin

dissertation is that we have as much to learn from the limitations facing our scientific descriptions as we do from the successes they enjoy. Because all of our scientific theories offer at best limited, effective accounts of the world, an important part of our interpretive efforts will be assessing the borders of these domains of description.

40 CFR 406.10 - Applicability; description of the corn wet milling subcategory.

Science.gov (United States)

2010-07-01

... 40 Protection of Environment 28 2010-07-01 2010-07-01 true Applicability; description of the corn wet milling subcategory. 406.10 Section 406.10 Protection of Environment ENVIRONMENTAL PROTECTION AGENCY (CONTINUED) EFFLUENT GUIDELINES AND STANDARDS GRAIN MILLS POINT SOURCE CATEGORY Corn Wet Milling...

40 CFR 406.20 - Applicability; description of the corn dry milling subcategory.

Science.gov (United States)

2010-07-01

... 40 Protection of Environment 28 2010-07-01 2010-07-01 true Applicability; description of the corn dry milling subcategory. 406.20 Section 406.20 Protection of Environment ENVIRONMENTAL PROTECTION AGENCY (CONTINUED) EFFLUENT GUIDELINES AND STANDARDS GRAIN MILLS POINT SOURCE CATEGORY Corn Dry Milling...

40 CFR 415.140 - Applicability; description of the sodium bicarbonate production subcategory.

Science.gov (United States)

2010-07-01

... 40 Protection of Environment 28 2010-07-01 2010-07-01 true Applicability; description of the sodium bicarbonate production subcategory. 415.140 Section 415.140 Protection of Environment ENVIRONMENTAL PROTECTION AGENCY (CONTINUED) EFFLUENT GUIDELINES AND STANDARDS INORGANIC CHEMICALS MANUFACTURING POINT SOURCE CATEGORY Sodium Bicarbonate...

Deep Transfer Metric Learning.

Science.gov (United States)

Junlin Hu; Jiwen Lu; Yap-Peng Tan; Jie Zhou

2016-12-01

Conventional metric learning methods usually assume that the training and test samples are captured in similar scenarios so that their distributions are assumed to be the same. This assumption does not hold in many real visual recognition applications, especially when samples are captured across different data sets. In this paper, we propose a new deep transfer metric learning (DTML) method to learn a set of hierarchical nonlinear transformations for cross-domain visual recognition by transferring discriminative knowledge from the labeled source domain to the unlabeled target domain. Specifically, our DTML learns a deep metric network by maximizing the inter-class variations and minimizing the intra-class variations, and minimizing the distribution divergence between the source domain and the target domain at the top layer of the network. To better exploit the discriminative information from the source domain, we further develop a deeply supervised transfer metric learning (DSTML) method by including an additional objective on DTML, where the output of both the hidden layers and the top layer are optimized jointly. To preserve the local manifold of input data points in the metric space, we present two new methods, DTML with autoencoder regularization and DSTML with autoencoder regularization. Experimental results on face verification, person re-identification, and handwritten digit recognition validate the effectiveness of the proposed methods.

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

Directory of Open Access Journals (Sweden)

Dita Nur Faizah

2017-11-01

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

Source SDK development essentials

CERN Document Server

Bernier, Brett

2014-01-01

The Source Authoring Tools are the pieces of software used to create custom content for games made with Valve's Source engine. Creating mods and maps for your games without any programming knowledge can be time consuming. These tools allow you to create your own maps and levels without the need for any coding knowledge. All the tools that you need to start creating your own levels are built-in and ready to go! This book will teach you how to use the Authoring Tools provided with Source games and will guide you in creating your first maps and mods (modifications) using Source. You will learn ho

Open Source, Crowd Source: Harnessing the Power of the People behind Our Libraries

Science.gov (United States)

Trainor, Cindi

2009-01-01

Purpose: The purpose of this paper is to provide an insight into the use of Web 2.0 and Library 2.0 technologies so that librarians can combine open source software with user-generated content to create a richer discovery experience for their users. Design/methodology/approach: Following a description of the current state of integrated library…

Identifying Students learning Styles as a Way to Promote Learning Quality

Directory of Open Access Journals (Sweden)

Jafar Sadegh Tabrizi

2013-05-01

Full Text Available Introduction: The major part of peoples knowledge, skills and abilities are achieved during the complex process called learning. Learning is not simply the product of mere intelligence and capabilities of individual; it also depends on other factors such as personality traits, personal interests, and t ype of duty and di fferent methods and st yles. The understanding of each individual fits with his/her learning style. The aim of this study was to determine the learning st yles of Health Care Management students in Tabriz University of Medical Sciences. Methods: Learning styles of 55 Health Services Management students in Tabriz Health and Nutrition Faculty were evaluated in 2009 using a twelve-question Kolb questionnaire in a descriptive study. The data was anal yzed using SPSS. And the frequency of students learning styles was identified by their ages and averages. Results: In this study, 69% of the students were female and the dominant learning method was Assimilator (42%. Other styles with a regard to their frequency were Diverge (24%, Coverage (22%and Accommodator (12%. In the present study,no statistically significant relationship was found in learning styles between the gender (p= 0.644and average (p = 0.676of the students. Conclusion: Assimilator and Diverge methods were the most common ones among the management students. Hence, to improve the quality of learning in this group of students, it is proposed that the teachers use interactive and creative teaching methods such as small and la rge group discussion,brain storming, problem solving, debate-based learning, self-learning and lecturing.

To Act and Learn: A Bakhtinian Exploration of Action Learning

Science.gov (United States)

Gold, Jeff; Anderson, Lisa; Clarke, Jean; Thorpe, Richard

2009-01-01

This paper considers the work of the Russian social philosopher and cultural theorist, Mikhail Mikhailovich Bakhtin as a source of understanding for those involved in action learning. Drawing upon data gathered over two years during the evaluation of 20 action learning sets in the north of England, we will seek to work with the ideas of Bakhtin to…

Personality traits in learning and education

NARCIS (Netherlands)

De Raad, B.

Personality traits judged relevant for the context of learning and education are identified as a subset of a comprehensive set of 1203 trait descriptive adjectives, constructed by Brokken (1979). The identification procedure is described and relevant statistics are provided. Self- and peer-ratings

40 CFR 413.20 - Applicability: Description of the electroplating of precious metals subcategory.

Science.gov (United States)

2010-07-01

... electroplating of precious metals subcategory. 413.20 Section 413.20 Protection of Environment ENVIRONMENTAL PROTECTION AGENCY (CONTINUED) EFFLUENT GUIDELINES AND STANDARDS ELECTROPLATING POINT SOURCE CATEGORY Electroplating of Precious Metals Subcategory § 413.20 Applicability: Description of the electroplating of...

Community of Learning: Music Learning and Performance Practices among the Native Peoples of North America

Science.gov (United States)

Burton, J. Bryan

2010-01-01

Through descriptions drawn from interviews of Native American musicians and observations of tribal musical events, this paper presents a challenge to the "conservative educational practices" in public schools of the United States. In conclusion, the paper suggests that by more closely examining different cultural learning, values and traditions,…

OSSMETER D3.4 – Language-Specific Source Code Quality Analysis

NARCIS (Netherlands)

J.J. Vinju (Jurgen); A. Shahi (Ashim); H.J.S. Basten (Bas)

2014-01-01

htmlabstractThis deliverable is part of WP3: Source Code Quality and Activity Analysis. It provides descriptions and prototypes of the tools that are needed for source code quality analysis in open source software projects. It builds upon the results of: • Deliverable 3.1 where infra-structure and

Complete description of photon trajectories in the Kerr-Newman space-time

Energy Technology Data Exchange (ETDEWEB)

Calvani, M [Padua Univ. (Italy). Ist. di Astronomia; Turolla, R [International School for Advanced Studies, Trieste (Italy)

1981-08-01

The complete description of null trajectories in the Kerr-Newman space-time is given in terms of the parameters of the source and of the constants of motion. The conditions for orbital and vortical motion are studied in detail and the locus of turning points is given for any choice of the parameters.

Sources of Information During the 2014 West Virginia Water Crisis: A Cross-Sectional Survey.

Science.gov (United States)

Savoia, Elena; Lin, Leesa; Viswanath, Kasisomayajula

2017-04-01

On January 9, 2014, a faulty storage tank leaked 10,000 gallons of an industrial coal-processing liquid into the Elk River in West Virginia, contaminating the drinking water of 9 counties collectively known as the Kanawha Valley. In the context of this event, we explored the relationship between social determinants and (1) the timeliness with which residents learned about the crisis, (2) the source of information, (3) opinions on the source of information, (4) information-seeking behaviors, and (5) knowledge acquired. Between February 7 and 26, 2014, we conducted a survey of 690 adult residents of West Virginia. Descriptive statistics and multivariable statistical models were performed. Information about water contamination spread quickly, with 88% of respondents from the affected counties hearing about the incident on the same day it occurred. Most people received the information from local television news (73%); social media users had 120% increased odds of knowing about the recommended behaviors. People who had a favorable opinion of the source of information demonstrated better knowledge of recommended behaviors. The use of local television news during a crisis is important for timely dissemination of information. Information exposure across segments of the population differed on the basis of the population's background characteristics. (Disaster Med Public Health Preparedness. 2017;11:196-206).

Implicit and Explicit Learning Mechanisms Meet in Monkey Prefrontal Cortex.

Science.gov (United States)

Chafee, Matthew V; Crowe, David A

2017-10-11

In this issue, Loonis et al. (2017) provide the first description of unique synchrony patterns differentiating implicit and explicit forms of learning in monkey prefrontal networks. Their results have broad implications for how prefrontal networks integrate the two learning mechanisms to control behavior. Copyright © 2017 Elsevier Inc. All rights reserved.

Multimodal sequence learning.

Science.gov (United States)

Kemény, Ferenc; Meier, Beat

2016-02-01

While sequence learning research models complex phenomena, previous studies have mostly focused on unimodal sequences. The goal of the current experiment is to put implicit sequence learning into a multimodal context: to test whether it can operate across different modalities. We used the Task Sequence Learning paradigm to test whether sequence learning varies across modalities, and whether participants are able to learn multimodal sequences. Our results show that implicit sequence learning is very similar regardless of the source modality. However, the presence of correlated task and response sequences was required for learning to take place. The experiment provides new evidence for implicit sequence learning of abstract conceptual representations. In general, the results suggest that correlated sequences are necessary for implicit sequence learning to occur. Moreover, they show that elements from different modalities can be automatically integrated into one unitary multimodal sequence. Copyright © 2015 Elsevier B.V. All rights reserved.

40 CFR 417.160 - Applicability; description of the manufacture of liquid detergents subcategory.

Science.gov (United States)

2010-07-01

... manufacture of liquid detergents subcategory. 417.160 Section 417.160 Protection of Environment ENVIRONMENTAL PROTECTION AGENCY (CONTINUED) EFFLUENT GUIDELINES AND STANDARDS SOAP AND DETERGENT MANUFACTURING POINT SOURCE CATEGORY Manufacture of Liquid Detergents Subcategory § 417.160 Applicability; description of the...

40 CFR 427.40 - Applicability; description of the asbestos paper (elastomeric binder) subcategory.

Science.gov (United States)

2010-07-01

... asbestos paper (elastomeric binder) subcategory. 427.40 Section 427.40 Protection of Environment... SOURCE CATEGORY Asbestos Paper (Elastomeric Binder) Subcategory § 427.40 Applicability; description of the asbestos paper (elastomeric binder) subcategory. The provisions of this subpart are applicable to...

40 CFR 407.70 - Applicability; description of the canned and preserved vegetables subcategory.

Science.gov (United States)

2010-07-01

... canned and preserved vegetables subcategory. 407.70 Section 407.70 Protection of Environment... VEGETABLES PROCESSING POINT SOURCE CATEGORY Canned and Preserved Vegetables Subcategory § 407.70 Applicability; description of the canned and preserved vegetables subcategory. The provisions of this subpart...

40 CFR 407.60 - Applicability; description of the canned and preserved fruits subcategory.

Science.gov (United States)

2010-07-01

... canned and preserved fruits subcategory. 407.60 Section 407.60 Protection of Environment ENVIRONMENTAL PROTECTION AGENCY (CONTINUED) EFFLUENT GUIDELINES AND STANDARDS CANNED AND PRESERVED FRUITS AND VEGETABLES PROCESSING POINT SOURCE CATEGORY Canned and Preserved Fruits Subcategory § 407.60 Applicability; description...

40 CFR 413.10 - Applicability: Description of the electroplating of common metals subcategory.

Science.gov (United States)

2010-07-01

... electroplating of common metals subcategory. 413.10 Section 413.10 Protection of Environment ENVIRONMENTAL PROTECTION AGENCY (CONTINUED) EFFLUENT GUIDELINES AND STANDARDS ELECTROPLATING POINT SOURCE CATEGORY Electroplating of Common Metals Subcategory § 413.10 Applicability: Description of the electroplating of common...

40 CFR 415.490 - Applicability; description of the oxygen and nitrogen production subcategory.

Science.gov (United States)

2010-07-01

... oxygen and nitrogen production subcategory. 415.490 Section 415.490 Protection of Environment... POINT SOURCE CATEGORY Oxygen and Nitrogen Production Subcategory § 415.490 Applicability; description of the oxygen and nitrogen production subcategory. The provisions of this subpart are applicable to...

Orphan sources: Consequences, regaining control and learning the lessons

International Nuclear Information System (INIS)

Croft, J.R.

2001-01-01

The safety and security record of technologies that use radiation sources is adequate in most cases, but on occasions there has been a lack of appropriate controls or circumvention of those that exist, leading to radiological accidents. Particular concern rise those radiation sources that have become orphans i.e. sources that were never subject to regulatory control, or were abandoned, lost or misplaced, stolen, or removed without authorisation. These sources are likely to be found in the public domain; examples include sources that used in radiotherapy units which have been unintentionally sold as scrap metal and melted thereafter, or which have been found by unsuspecting individuals or stolen, causing serious radiation exposure of people and contamination of the human habitat

Integrated inspection of services for people with learning disabilities in Scotland: the way forward?

Directory of Open Access Journals (Sweden)

Martin Campbell

2007-10-01

Full Text Available Purpose: The article summarises the process and the results of the first, integrated inspection of managed care services for people with learning disabilities in Scotland. The multi-agency model used was developed to be congruent with the existing performance inspection models, used by single agency inspection. The inspection activities and main outcomes are described, and suggestions are made for improvements. Context of case: In 2006 an inspection model was devised to assess the quality of health, social services and education services for people with learning disabilities in one geographical area of Scotland, as a precursor to a programme of inspections nationally. The first joint, integrated inspection of all services for people with learning disabilities in Scotland took place in June 2006, and the report was published in March 2007. This was the first multi-agency inspection of its kind in the UK, and the first to involve carers and people with learning disabilities on the inspection team. Data sources: A number of data sources were used to check existing practice against agreed Quality Outcome indicators. Primary sources of data were social work records, health records, education records, staff surveys, carer surveys, interviews with staff, family carers and people with learning disabilities, and self evaluations completed by the services being inspected. Eleven different domains, each with sub-indicators were investigated. Case description: This paper summarises the process of an integrated, multi-agency inspection, how the inspection activities were conducted and the main findings of this inspection. Practical improvements to the process are suggested, and these may be of use to other services and inspectorates. Conclusions and discussion: The integrated inspection was a qualified success. Most major objectives were achieved. The sharing of data amongst inspection agencies, establishing the level of commitment to integrated inspection

Relationship between the Learning Styles Preferences and Academic Achievement

Science.gov (United States)

Awang, H.; Samad, N. Abd; Faiz, N. S. Mohd; Roddin, R.; Kankia, J. D.

2017-08-01

The individual learning differences that have been much explored relate to differences in personality, learning styles, strategies and conceptual of learning. This article studies the learning style profile exhibited by students towards the academic achievement in Malaysian Polytechnic. The relationship between learning styles of Polytechnic students and their academic achievement based on VARK learning styles model. The target population was international business students of Malaysian Polytechnic. By means of randomly sampling method, 103 students were selected as sample of research. By descriptive - survey research method and a questionnaire adapted from VARK Learning Style Index, required data were collected. According to the results, no significantly difference between learning style and academic achievement of students. Students academic achievement was quite similar to their individual learning styles. These facts reveal that each learning style has its own strengths and weaknesses.

Analisis Intensi Berprestasi Mahasiswa Binus Online Learning

Directory of Open Access Journals (Sweden)

Agus Putranto

2013-12-01

Full Text Available The utilization of e-learning can improve learning effectiveness and flexibility. Universitas Bina Nusantara (BINUS provides an online learning program called BINUS Online learning. It offers the student to do a study through online activities, where the students are couraged to learn individually. This research was conducted to obtain a perspective of student intention from BINUS Online learning to mark good achievement. Non experimental method with quatitative approached is implemented where the respondents are students of Information System department and Marketing Management Department. The sampling techniques used is non probability purposive sampling. All variables are measured using questionnaire based on Fishbein and Ajzen model. The data of the research are analyzed using descriptive statistics and multiple linier regression analysis. The results show that the intention to mark an achievement of students of BINUS Online learning is very high. It means that BINUS Online learning Program students have strong intention to get good marks and study achievements.

'Steps in the learning Process'

International Nuclear Information System (INIS)

Cheung, Kyung Mo; Cheung, Hwan

1984-01-01

The process by which a student learns is extremely complicated. Whether he is simply learning facts, laws or formulae, changing his values or mastering a skill the way in which his brain functions is impossible to describe. The idea of learning domains is put forward not to explain in biological terms what happens in the brain but simply to attempt to break the system down into simpler units so that the learning process can be organized in an easier, more systematic way. In the most commonly used description of this process, the one described by BLOOM, this is BLOOM's Taxonomy. In addition to, I'd like to compare with the work of Lewis (Levels of Knowledge and Understanding). As a result, let us discuss about the most effective method in teaching in order to supply high-quality education

Neural networks and statistical learning

CERN Document Server

Du, Ke-Lin

2014-01-01

Providing a broad but in-depth introduction to neural network and machine learning in a statistical framework, this book provides a single, comprehensive resource for study and further research. All the major popular neural network models and statistical learning approaches are covered with examples and exercises in every chapter to develop a practical working understanding of the content. Each of the twenty-five chapters includes state-of-the-art descriptions and important research results on the respective topics. The broad coverage includes the multilayer perceptron, the Hopfield network, associative memory models, clustering models and algorithms, the radial basis function network, recurrent neural networks, principal component analysis, nonnegative matrix factorization, independent component analysis, discriminant analysis, support vector machines, kernel methods, reinforcement learning, probabilistic and Bayesian networks, data fusion and ensemble learning, fuzzy sets and logic, neurofuzzy models, hardw...

The windmill of learning processes

DEFF Research Database (Denmark)

Kragelund, Linda

2011-01-01

that part of the nursing education has been reduced in some countries as e.g. Denmark.  The approach is presented through a model termed the 'Windmill of Learning Processes', which draws on empirical data from a qualitative investigation with an explorative and descriptive design, and on the theoretical......This article presents a new approach to student nurses' learning from their interaction with psychiatric patients. Using the approach can enable students and mentors to exploit students' learning opportunities, and help students to get the most out of their clinical placement in a time, where...... concepts of 'disjuncture', and 'everyday life activities'. 'Disjuncture' is defined as a situation in which there is disharmony between a person's experiences and the current situation. In such a situation there is potential for learning. My analysis of the empirical data led to the identification of a new...

How Patterns of Learning About Sexual Information Among Adolescents Are Related to Sexual Behaviors.

Science.gov (United States)

Bleakley, Amy; Khurana, Atika; Hennessy, Michael; Ellithorpe, Morgan

2018-03-01

Parents, peers and media are informal sources of sexual information for adolescents. Although the content of sexual information communicated by these sources is known to vary, little is known about what adolescents report actually learning from each source. Data from 1,990 U.S.14-17-year-olds who participated in an online survey in 2015 were used to assess learning about four topics (sex, condoms, hormonal birth control and romantic relationships) from three informal sources (parents, peers, and television and movies). Gender and race differences in learning by source and topic were assessed using t tests. Following a factor analysis, learning about all topics was grouped by source, and regression analyses were conducted to examine associations between learning from each source and three outcomes: sexual activity, condom use and hormonal birth control use. Models included interactions between information sources and race and gender. White adolescents reported learning more from parents and less from media than black adolescents. Compared with males, females learned more about hormonal birth control and less about condoms from their parents, and more about relationships from peers and media. Learning from parents and from peers were positively associated with adolescents' sexual activity (unstandardized coefficients, 0.26 and 0.52, respectively). Learning from parents was positively associated with condom use (odds ratio, 1.5). Adolescents' learning about sex from informal sources varies by race and gender. Future research should examine whether sexual health interventions and message development can capitalize on these differences. Copyright © 2018 by the Guttmacher Institute.

Application of random-point processes to the detection of radiation sources

International Nuclear Information System (INIS)

Woods, J.W.

1978-01-01

In this report the mathematical theory of random-point processes is reviewed and it is shown how use of the theory can obtain optimal solutions to the problem of detecting radiation sources. As noted, the theory also applies to image processing in low-light-level or low-count-rate situations. Paralleling Snyder's work, the theory is extended to the multichannel case of a continuous, two-dimensional (2-D), energy-time space. This extension essentially involves showing that the data are doubly stochastic Poisson (DSP) point processes in energy as well as time. Further, a new 2-D recursive formulation is presented for the radiation-detection problem with large computational savings over nonrecursive techniques when the number of channels is large (greater than or equal to 30). Finally, some adaptive strategies for on-line ''learning'' of unknown, time-varying signal and background-intensity parameters and statistics are present and discussed. These adaptive procedures apply when a complete statistical description is not available a priori

Willingness and preferences of nurses related to learning with technology.

Science.gov (United States)

Pilcher, Jobeth W; Bedford, Laurie

2011-01-01

To what extent are nurses willing to learn with technology-enhanced tools, such as online education, podcasts, webcasts, mobile learning, and realistic simulations? What factors influence their willingness? This article includes a description of a mixed methodology study that addressed these questions. Nurses of all ages indicated a willingness to learn with a variety of technological tools. Primary determinants of willingness were associated with ease of use, familiarity, convenience, and perceived benefit.

The Among System in the Senior High School History Learning

Directory of Open Access Journals (Sweden)

Nugraha Nugraha

2018-05-01

Full Text Available This study describes the theoretical and practical aspect of the Among - system in the modern historical learning. As a preliminary research, this article formulates a conceptual framework of the Among- system in the contemporary learning, especially modern history learning. This research used library research method that conducted in Dewantara Kirti Griya Library Yogyakarta. Data analysis was done by the descriptive method of collecting data, compiling or classifying, and interpreting.

Generating description with multi-feature fusion and saliency maps of image

Science.gov (United States)

Liu, Lisha; Ding, Yuxuan; Tian, Chunna; Yuan, Bo

2018-04-01

Generating description for an image can be regard as visual understanding. It is across artificial intelligence, machine learning, natural language processing and many other areas. In this paper, we present a model that generates description for images based on RNN (recurrent neural network) with object attention and multi-feature of images. The deep recurrent neural networks have excellent performance in machine translation, so we use it to generate natural sentence description for images. The proposed method uses single CNN (convolution neural network) that is trained on ImageNet to extract image features. But we think it can not adequately contain the content in images, it may only focus on the object area of image. So we add scene information to image feature using CNN which is trained on Places205. Experiments show that model with multi-feature extracted by two CNNs perform better than which with a single feature. In addition, we make saliency weights on images to emphasize the salient objects in images. We evaluate our model on MSCOCO based on public metrics, and the results show that our model performs better than several state-of-the-art methods.

Stingless bees (Melipona scutellaris) learn to associate footprint cues at food sources with a specific reward context.

Science.gov (United States)

Roselino, Ana Carolina; Rodrigues, André Vieira; Hrncir, Michael

2016-10-01

Foraging insects leave chemical footprints on flowers that subsequent foragers may use as indicators for recent flower visits and, thus, potential resource depletion. Accordingly, foragers should reject food sources presenting these chemical cues. Contrasting this assumption, experimental studies in stingless bees (Apidae, Meliponini), so far, demonstrated an attractive effect of footprints. These findings lead to doubts about the meaning of these chemical cues in natural foraging contexts. Here, we asked whether foragers of stingless bees (Melipona scutellaris) use footprints according to the previously experienced reward level of visited food sources. Bees were trained to artificial flower patches, at which the reward of a flower either decreased or, alternatively, increased after a visit by a forager. Individuals were allowed a total of nine foraging bouts to the patch, after which their preference for visited or unvisited flowers was tested. In the choice tests, bees trained under the decreasing reward context preferred unvisited flowers, whereas individuals trained under the increasing reward context preferred visited flowers. Foragers without experience chose randomly between visited and unvisited flowers. These results demonstrate that M. scutellaris learns to associate unspecific footprint cues at food sources with differential, specific reward contexts, and uses these chemical cues accordingly for their foraging decisions.

Deep learning in bioinformatics.

Science.gov (United States)

Min, Seonwoo; Lee, Byunghan; Yoon, Sungroh

2017-09-01

In the era of big data, transformation of biomedical big data into valuable knowledge has been one of the most important challenges in bioinformatics. Deep learning has advanced rapidly since the early 2000s and now demonstrates state-of-the-art performance in various fields. Accordingly, application of deep learning in bioinformatics to gain insight from data has been emphasized in both academia and industry. Here, we review deep learning in bioinformatics, presenting examples of current research. To provide a useful and comprehensive perspective, we categorize research both by the bioinformatics domain (i.e. omics, biomedical imaging, biomedical signal processing) and deep learning architecture (i.e. deep neural networks, convolutional neural networks, recurrent neural networks, emergent architectures) and present brief descriptions of each study. Additionally, we discuss theoretical and practical issues of deep learning in bioinformatics and suggest future research directions. We believe that this review will provide valuable insights and serve as a starting point for researchers to apply deep learning approaches in their bioinformatics studies. © The Author 2016. Published by Oxford University Press. All rights reserved. For Permissions, please email: journals.permissions@oup.com.

A century's challenges. Historical overview of radiation sources in the USA

International Nuclear Information System (INIS)

Lubenau, J.O.

1999-01-01

A historical overview of radiation sources in the USA, including lost or abandoned ones is given in this paper. The important lesson to be learned from operational experience with radiation sources is that periodic contacts by regulators with the users serve as reminders to them of the need to maintain control and countability of the sources, to properly dispose the sources when not needed, and to provide for their safe application. The historical perspective induces another lesson, when dealing with radiological protection issues, the knowledge learned from the past experience should not be ignored

The ICAP Active Learning Framework Predicts the Learning Gains Observed in Intensely Active Classroom Experiences

Directory of Open Access Journals (Sweden)

Benjamin L. Wiggins

2017-05-01

Full Text Available STEM classrooms (science, technology, engineering, and mathematics in postsecondary education are rapidly improved by the proper use of active learning techniques. These techniques occupy a descriptive spectrum that transcends passive teaching toward active, constructive, and, finally, interactive methods. While aspects of this framework have been examined, no large-scale or actual classroom-based data exist to inform postsecondary education STEM instructors about possible learning gains. We describe the results of a quasi-experimental study to test the apex of the ICAP framework (interactive, constructive, active, and passive in this ecological classroom environment. Students in interactive classrooms demonstrate significantly improved learning outcomes relative to students in constructive classrooms. This improvement in learning is relatively subtle; similar experimental designs without repeated measures would be unlikely to have the power to observe this significance. We discuss the importance of seemingly small learning gains that might propagate throughout a course or departmental curriculum, as well as improvements with the necessity for faculty to develop and implement similar activities.

PARR-2: reactor description and experiments

International Nuclear Information System (INIS)

Wyne, M.F.; Meghji, J.H.

1990-12-01

PARR-2 is a miniature neutron source reactor (MNSR) research reactor has been designed at the rate of 27 kW. Reactor assembly comprises of peaking characteristics with a self limiting flux. In this report reactor description with its assembly and instrumentation control system has been explained. The reactor engineering and physics experiments which can be performed on this reactor are explained in this report. PARR-2 is fueled with HEU fuel pins which are about 90% enriched in U-235. Specific requirements for the safety of the reactor, its building and the personnel, normal instrumentation as required in an industrial environment is sufficient. (A.B.)

Restaurants as Learning Organizations: A Multiple-Site Case Study of U.S. Non-Chain Restaurants

Science.gov (United States)

Boccia, Mark

2016-01-01

This study investigated the construct of the learning organization in the restaurant industry. Descriptive accounts of learning were gleaned from face-to-face interviews, focus groups, observations, document analysis, and data from the Dimensions of the Learning Organization Questionnaire (DLOQ) from 52 participants employed in three US…

40 CFR 440.140 - Applicability; description of the gold placer mine subcategory.

Science.gov (United States)

2010-07-01

... separation methods for recovering gold from placer deposits. (b) The provisions of this subpart M are not... 40 Protection of Environment 29 2010-07-01 2010-07-01 false Applicability; description of the gold... AGENCY (CONTINUED) EFFLUENT GUIDELINES AND STANDARDS ORE MINING AND DRESSING POINT SOURCE CATEGORY Gold...

Preinjector for Linac 1, ion source

CERN Multimedia

1974-01-01

For a description of the Linac 1 preinjector, please see first 7403070X. Inside the drum-shaped container shown in 7403081X, is the ion source with its associated electronics. It sits at the HV end of the accelerating column seen also in 7403081.

40 CFR 406.40 - Applicability; description of the bulgur wheat flour milling subcategory.

Science.gov (United States)

2010-07-01

... 40 Protection of Environment 28 2010-07-01 2010-07-01 true Applicability; description of the bulgur wheat flour milling subcategory. 406.40 Section 406.40 Protection of Environment ENVIRONMENTAL PROTECTION AGENCY (CONTINUED) EFFLUENT GUIDELINES AND STANDARDS GRAIN MILLS POINT SOURCE CATEGORY Bulgur...

40 CFR 406.30 - Applicability; description of the normal wheat flour milling subcategory.

Science.gov (United States)

2010-07-01

... 40 Protection of Environment 28 2010-07-01 2010-07-01 true Applicability; description of the normal wheat flour milling subcategory. 406.30 Section 406.30 Protection of Environment ENVIRONMENTAL PROTECTION AGENCY (CONTINUED) EFFLUENT GUIDELINES AND STANDARDS GRAIN MILLS POINT SOURCE CATEGORY Normal...

Industrial application of electron sources with plasma emitters

CERN Document Server

Belyuk, S I; Rempe, N G

2001-01-01

Paper contains a description, operation, design and parameters of electron sources with plasma emitters. One presents examples of application of these sources as part of automated electron-beam welding lines. Paper describes application of such sources for electron-beam deposition of composite powders. Electron-beam deposition is used to rebuild worn out part and to increase strength of new parts of machines and tools. Paper presents some examples of rebuilding part and the advantages gained in this case

The Use Of Social Networking Sites For Learning In Institutions Of Higher Learning

Directory of Open Access Journals (Sweden)

Mange Gladys Nkatha

2015-08-01

Full Text Available Abstract Institutions of higher learning are facing greater challenges to change and subjected to various transformations in the surrounding environment including technology. These challenge and motivate them to explore new ways to improve their teaching approaches. This study sought to investigate the use of social networking site in institutions of higher learning. To this end two objectives were formulated 1 to investigate the current state of the use of social networking sites by the students 2 investigate how social networking sites can be used to promote authentic learning in institutions of higher learning. The study adopted exploratory approach using descriptive survey design where a sample of 10 67 students were picked from Jomo Kenyatta University of Agriculture and Technology JKUAT main campus. The findings indicate the use of social networking sites is a viable option as the students are not only members of social networking sites but also that majority have access to the requisite technological devices. Additionally recommendations for ensuring authentic learning were presented. The researcher recommends the exploration of the leveraging of the existing social networking sites for learning in conjunction with key stakeholders.

Education and training column: the learning collaborative.

Science.gov (United States)

MacDonald-Wilson, Kim L; Nemec, Patricia B

2015-03-01

This column describes the key components of a learning collaborative, with examples from the experience of 1 organization. A learning collaborative is a method for management, learning, and improvement of products or processes, and is a useful approach to implementation of a new service design or approach. This description draws from published material on learning collaboratives and the authors' experiences. The learning collaborative approach offers an effective method to improve service provider skills, provide support, and structure environments to result in lasting change for people using behavioral health services. This approach is consistent with psychiatric rehabilitation principles and practices, and serves to increase the overall capacity of the mental health system by structuring a process for discovering and sharing knowledge and expertise across provider agencies. (PsycINFO Database Record (c) 2015 APA, all rights reserved).

Computer Augmented Learning; A Survey.

Science.gov (United States)

Kindred, J.

The report contains a description and summary of computer augmented learning devices and systems. The devices are of two general types programed instruction systems based on the teaching machines pioneered by Pressey and developed by Skinner, and the so-called "docile" systems that permit greater user-direction with the computer under student…

The Effectiveness of Project-based E-learning to Improve Ict Literacy

OpenAIRE

Eliana, E. D. S; Senam, Senam; Wilujeng, I; Jumadi, Jumadi

2016-01-01

This study aims to reveal the effectiveness of science teaching based on project-based learning to improve ICT literacy learners in the junior high school with the category of high, medium and low. This research uses descriptive method to describe the students’ equipness of ICT literacy in the science learning based on the project-based learning that is integrated with e-learning. All of the population in this study are junior high school of curriculum pilot project in 2013 in Singkawang. The...

The effect of integrating cooperative learning into 5E inquiry learning model on interpersonal skills of high school students

Science.gov (United States)

Pholphuet, Preedaporn; Kanyaprasith, Kamonwan; Khumwong, Pinit; Praphairaksit, Nalena

2018-01-01

The purpose of this research was to investigate the effect of integrating cooperative learning into 5E inquiry learning model on interpersonal skills of high school students. Two 10th grade classrooms consisting of 63 students were obtained by purposive sampling then one was assigned as an experimental and the other as a control group. The cooperative learning was integrated into 5E inquiry model for the experimental group in addition to the normal 5E inquiry model in the control group. A 5-level rating scale questionnaire was used for data collection both before and after the experiment. Furthermore, a descriptive journal from each student was added to the study after the researchers realized a significant difference in the teamwork skill of each group. Data from questionnaires were analyzed using descriptive statistics and inferential statistics. The results showed that the experimental group had a significantly higher score of interpersonal skills when compared to the control group (ptime management, the outcome of the work, the process of the work and the attitude of the students. The students in the experimental group demonstrated more creative ideas and were more likely to listen to other student ideas. The students in experimental group were less competitive and were more open in sharing and helping others. In conclusion, the addition of cooperative learning in to the usual 5E inquiry learning, not only help the students to achieve the knowledge but also help develop good interpersonal skills.

"Debate" Learning Method and Its Implications for the Formal Education System

Science.gov (United States)

Najafi, Mohammad; Motaghi, Zohre; Nasrabadi, Hassanali Bakhtiyar; Heshi, Kamal Nosrati

2016-01-01

Regarding the importance of enhancement in learner's social skills, especially in learning process, this study tries to introduce one of the group learning programs entitled "debate" as a teaching method in Iran religious universities. It also considers the concept and the history of this method by qualitative and descriptive-analytical…

Mobile learning research: caught between two paradigms

NARCIS (Netherlands)

Sandberg, J.; Maris, M.; Arnedillo Sánchez, I.; Isaías, P.

2011-01-01

A review of mobile learning research shows that studies take various research approaches and apply a varied number of research methods, ranging from primarily quantitative and experimental to purely qualitative and descriptive. This paper presents a classification framework to position mobile