Using enterprise architecture to analyse how organisational structure impact motivation and learning

NASA Astrophysics Data System (ADS)

Närman, Pia; Johnson, Pontus; Gingnell, Liv

2016-06-01

When technology, environment, or strategies change, organisations need to adjust their structures accordingly. These structural changes do not always enhance the organisational performance as intended partly because organisational developers do not understand the consequences of structural changes in performance. This article presents a model-based analysis framework for quantitative analysis of the effect of organisational structure on organisation performance in terms of employee motivation and learning. The model is based on Mintzberg's work on organisational structure. The quantitative analysis is formalised using the Object Constraint Language (OCL) and the Unified Modelling Language (UML) and implemented in an enterprise architecture tool.

Developing a Learning Object Metadata Application Profile Based on LOM Suitable for the Australian Higher Education Context

ERIC Educational Resources Information Center

Agostinho, Shirley; Bennett, Sue; Lockyer, Lori; Harper, Barry

2004-01-01

This paper reports recent work in developing of structures and processes that support university teachers and instructional designers incorporating learning objects into higher education focused learning designs. The aim of the project is to develop a framework to guide the design and implementation of high quality learning experiences. This…

The Role of Digital Technologies in Numeracy Teaching and Learning

ERIC Educational Resources Information Center

Geiger, Vince; Goos, Merrilyn; Dole, Shelley

2015-01-01

This paper presents a model of numeracy that integrates the use of digital technologies among other elements of teaching and learning mathematics. Drawing on data from a school-based project, which includes records of classroom observations, semi-structured teacher interviews and artefacts such as student work samples, a classroom-based vignette…

Work-based learning: a leadership development example from an action research study of shared governance implementation.

PubMed

Williamson, Tracey

2005-11-01

An empowering action research study was undertaken to evaluate and strengthen the implementation of shared governance. One aim was to identify factors that acted as aids or barriers to effective decision-making by clinical leaders. As a work-based learning approach, action research was expected to lead to integration of learning into practice by researcher and participants alike. Shared governance replaces traditional hierarchies and requires and develops clinical leaders. Strategies are needed to maximize learning from introduction of such initiatives at the individual, group and organizational level. Participant-observations and interviews were undertaken with shared governance council members from one model in north-west England. Leadership skills and knowledge and shared governance practices were significantly enhanced. Preparation for council roles was considered inadequate. Increased structured time for reflection and action planning was indicated. Implementation of shared governance has succeeded in developing leadership capacity. Evaluation findings have led to improvements in the overall shared governance model. Action research has been found to have great utility at optimizing work-based learning. Nurse Managers need to develop their coaching and facilitating skills and recognize there is no "quick fix" for developing clinical leaders. Implications include the need to support learners in identifying and implementing changes arising from work-based learning activities, the significant resource implications and the need to optimize the organizational climate if work-based learning approaches to leadership and management development are to succeed.

Developing an Objective Structured Clinical Examination to Assess Work-Integrated Learning in Exercise Physiology

ERIC Educational Resources Information Center

Naumann, Fiona; Moore, Keri; Mildon, Sally; Jones, Philip

2014-01-01

This paper aims to develop a valid method to assess the key competencies of the exercise physiology profession acquired through work-integrated learning (WIL). In order to develop a competency-based assessment, the key professional tasks needed to be identified and the test designed so students' competency in different tasks and settings could be…

Verbal Knowledge, Working Memory, and Processing Speed as Predictors of Verbal Learning in Older Adults

ERIC Educational Resources Information Center

Rast, Philippe

2011-01-01

The present study aimed at modeling individual differences in a verbal learning task by means of a latent structured growth curve approach based on an exponential function that yielded 3 parameters: initial recall, learning rate, and asymptotic performance. Three cognitive variables--speed of information processing, verbal knowledge, working…

On the Determinants of Employment-Related Organised Education and Informal Learning

ERIC Educational Resources Information Center

Nilsson, Staffan; Rubenson, Kjell

2014-01-01

This paper analyses the distribution of employment-related organised education and informal learning in the Canadian workforce. The paper draws on a large-scale survey, the Changing Nature of Work and Lifelong Learning (WALL), which was based on structured and standardised telephone interviews with a representative sample of 5783 Canadian members…

Example-Based Learning: Exploring the Use of Matrices and Problem Variability

ERIC Educational Resources Information Center

Hancock-Niemic, Mary A.; Lin, Lijia; Atkinson, Robert K.; Renkl, Alexander; Wittwer, Joerg

2016-01-01

The purpose of the study was to investigate the efficacy of using faded worked examples presented in matrices with problem structure variability to enhance learners' ability to recognize the underlying structure of the problems. Specifically, this study compared the effects of matrix-format versus linear-format faded worked examples combined with…

Students' Perception of Relationship Skills during an Adventure-Based Learning Unit within Physical Education

ERIC Educational Resources Information Center

Stuhr, Paul T.; Sutherland, Sue; Ressler, James; Ortiz-Stuhr, Esther M.

2015-01-01

Adventure-based learning (ABL) is a sequenced curriculum using structured physical and team building activities that create the space for participants to work on group communication, cooperation, trust, and problem solving. Reflection (i.e., debriefing) is an essential aspect of the ABL curriculum (Cosgriff, 2000). A debrief in ABL is the…

Gold-standard evaluation of a folksonomy-based ontology learning model

NASA Astrophysics Data System (ADS)

Djuana, E.

2018-03-01

Folksonomy, as one result of collaborative tagging process, has been acknowledged for its potential in improving categorization and searching of web resources. However, folksonomy contains ambiguities such as synonymy and polysemy as well as different abstractions or generality problem. To maximize its potential, some methods for associating tags of folksonomy with semantics and structural relationships have been proposed such as using ontology learning method. This paper evaluates our previous work in ontology learning according to gold-standard evaluation approach in comparison to a notable state-of-the-art work and several baselines. The results show that our method is comparable to the state-of the art work which further validate our approach as has been previously validated using task-based evaluation approach.

An inquiry-based biochemistry laboratory structure emphasizing competency in the scientific process: a guided approach with an electronic notebook format.

PubMed

L Hall, Mona; Vardar-Ulu, Didem

2014-01-01

The laboratory setting is an exciting and gratifying place to teach because you can actively engage the students in the learning process through hands-on activities; it is a dynamic environment amenable to collaborative work, critical thinking, problem-solving and discovery. The guided inquiry-based approach described here guides the students through their laboratory work at a steady pace that encourages them to focus on quality observations, careful data collection and thought processes surrounding the chemistry involved. It motivates students to work in a collaborative manner with frequent opportunities for feedback, reflection, and modification of their ideas. Each laboratory activity has four stages to keep the students' efforts on track: pre-lab work, an in-lab discussion, in-lab work, and a post-lab assignment. Students are guided at each stage by an instructor created template that directs their learning while giving them the opportunity and flexibility to explore new information, ideas, and questions. These templates are easily transferred into an electronic journal (termed the E-notebook) and form the basic structural framework of the final lab reports the students submit electronically, via a learning management system. The guided-inquiry based approach presented here uses a single laboratory activity for undergraduate Introductory Biochemistry as an example. After implementation of this guided learning approach student surveys reported a higher level of course satisfaction and there was a statistically significant improvement in the quality of the student work. Therefore we firmly believe the described format to be highly effective in promoting student learning and engagement. © 2013 by The International Union of Biochemistry and Molecular Biology.

Implementation of a team-based learning course: Work required and perceptions of the teaching team.

PubMed

Morris, Jenny

2016-11-01

Team-based learning was selected as a strategy to help engage pre-registration undergraduate nursing students in a second-year evidence-informed decision making course. To detail the preparatory work required to deliver a team-based learning course; and to explore the perceptions of the teaching team of their first experience using team-based learning. Descriptive evaluation. Information was extracted from a checklist and process document developed by the course leader to document the work required prior to and during implementation. Members of the teaching team were interviewed by a research assistant at the end of the course using a structured interview schedule to explore perceptions of first time implementation. There were nine months between the time the decision was made to use team-based learning and the first day of the course. Approximately 60days were needed to reconfigure the course for team-based learning delivery, develop the knowledge and expertise of the teaching team, and develop and review the resources required for the students and the teaching team. This reduced to around 12days for the subsequent delivery. Interview data indicated that the teaching team were positive about team-based learning, felt prepared for the course delivery and did not identify any major problems during this first implementation. Implementation of team-based learning required time and effort to prepare the course materials and the teaching team. The teaching team felt well prepared, were positive about using team-based learning and did not identify any major difficulties. Crown Copyright © 2016. Published by Elsevier Ltd. All rights reserved.

A Template-Based Protein Structure Reconstruction Method Using Deep Autoencoder Learning.

PubMed

Li, Haiou; Lyu, Qiang; Cheng, Jianlin

2016-12-01

Protein structure prediction is an important problem in computational biology, and is widely applied to various biomedical problems such as protein function study, protein design, and drug design. In this work, we developed a novel deep learning approach based on a deeply stacked denoising autoencoder for protein structure reconstruction. We applied our approach to a template-based protein structure prediction using only the 3D structural coordinates of homologous template proteins as input. The templates were identified for a target protein by a PSI-BLAST search. 3DRobot (a program that automatically generates diverse and well-packed protein structure decoys) was used to generate initial decoy models for the target from the templates. A stacked denoising autoencoder was trained on the decoys to obtain a deep learning model for the target protein. The trained deep model was then used to reconstruct the final structural model for the target sequence. With target proteins that have highly similar template proteins as benchmarks, the GDT-TS score of the predicted structures is greater than 0.7, suggesting that the deep autoencoder is a promising method for protein structure reconstruction.

A Study Module in the Logical Structure of Cognitive Process in the Context of Variable-Based Blended Learning

ERIC Educational Resources Information Center

Smirnova, Galina I.; Katashev, Valery G.

2017-01-01

Blended learning is increasingly gaining importance in all levels of educational system, particularly in tertiary education. In engineering profiles the core blended learning activity is students' independent work, the efficiency of which is defined by the degree of students' active involvement into the educational process, their ability to absorb…

Concept Mapping Assessment of Media Assisted Learning in Interdisciplinary Science Education

NASA Astrophysics Data System (ADS)

Schaal, Steffen; Bogner, Franz X.; Girwidz, Raimund

2010-05-01

Acquisition of conceptual knowledge is a central aim in science education. In this study we monitored an interdisciplinary hypermedia assisted learning unit on hibernation and thermodynamics based on cooperative learning. We used concept mapping for the assessment, applying a pre-test/post-test design. In our study, 106 9th graders cooperated by working in pairs ( n = 53) for six lessons. As an interdisciplinary learning activity in such complex knowledge domains has to combine many different aspects, we focused on long-term knowledge. Learners working cooperatively in dyads constructed computer-supported concept maps which were analysed by specific software. The data analysis encompassed structural aspects of the knowledge corresponding to a target reference map. After the learning unit, the results showed the acquisition of higher-order domain-specific knowledge structures which indicates successful interdisciplinary learning through the hypermedia learning environment. The benefit of using a computer-assisted concept mapping assessment for research in science education, and in science classrooms is considered.

Modified Use of Team-Based Learning in an Ophthalmology Course for Fifth-Year Medical Students

ERIC Educational Resources Information Center

Altintas, Levent; Altintas, Ozgul; Caglar, Yusuf

2014-01-01

Team-based learning (TBL) is an interactive and analytic teaching strategy. TBL is a learner-centered strategy that uses a very structured individual and group accountability process and requires small groups to work together to solve problems. This study served to investigate whether the TBL concept could be modified and adopted to the fifth-year…

The Effect of Agent-Based Lectures on Student Learning and Conceptual Change in an Online Inquiry-Based Learning Environment

ERIC Educational Resources Information Center

Chang, Ju-Yu

2013-01-01

Cognitive load theorists claim that problem-centered instruction is not an effective instruction because it is not compatible with human cognitive structure. They argue that the nature of problem-centered instruction tends to over-load learner working memory capacity. That is why many problem-centered practices fail. To better support students and…

Structure identification in fuzzy inference using reinforcement learning

NASA Technical Reports Server (NTRS)

Berenji, Hamid R.; Khedkar, Pratap

1993-01-01

In our previous work on the GARIC architecture, we have shown that the system can start with surface structure of the knowledge base (i.e., the linguistic expression of the rules) and learn the deep structure (i.e., the fuzzy membership functions of the labels used in the rules) by using reinforcement learning. Assuming the surface structure, GARIC refines the fuzzy membership functions used in the consequents of the rules using a gradient descent procedure. This hybrid fuzzy logic and reinforcement learning approach can learn to balance a cart-pole system and to backup a truck to its docking location after a few trials. In this paper, we discuss how to do structure identification using reinforcement learning in fuzzy inference systems. This involves identifying both surface as well as deep structure of the knowledge base. The term set of fuzzy linguistic labels used in describing the values of each control variable must be derived. In this process, splitting a label refers to creating new labels which are more granular than the original label and merging two labels creates a more general label. Splitting and merging of labels directly transform the structure of the action selection network used in GARIC by increasing or decreasing the number of hidden layer nodes.

The effect of problem-based learning with cooperative-learning strategies in surgery clerkships.

PubMed

Turan, Sevgi; Konan, Ali; Kılıç, Yusuf Alper; Özvarış, Şevkat Bahar; Sayek, Iskender

2012-01-01

Cooperative learning is used often as part of the problem-based learning (PBL) process. But PBL does not demand that students work together until all individuals master the material or share the rewards for their work together. A cooperative learning and assessment structure was introduced in a PBL course in 10-week surgery clerkship, and the difference was evaluated between this method and conventional PBL in an acute abdominal pain module. An experimental design was used. No significant differences in achievement were found between the study and control group. Both the study and control group students who scored low on the pretest made the greatest gains at the end of the education. Students in the cooperative learning group felt that cooperation helped them learn, it was fun to study and expressed satisfaction, but they complained about the amount of time the groups had to work together, difficulties of group work, and noise during the sessions. This study evaluated the impact of a cooperative learning technique (student team learning [STL]) in PBL and found no differences. The study confirms that a relationship exists between allocated study time and achievement, and student's satisfaction about using this technique. Copyright © 2012 Association of Program Directors in Surgery. Published by Elsevier Inc. All rights reserved.

Understanding the essential elements of work-based learning and its relevance to everyday clinical practice.

PubMed

Williams, Caroline

2010-09-01

To critically review the work-based learning literature and explore the implications of the findings for the development of work-based learning programmes. With NHS budgets under increasing pressure, and challenges to the impact of classroom-based learning on patient outcomes, work-based learning is likely to come under increased scrutiny as a potential solution. Evidence from higher education institutions suggests that work-based learning can improve practice, but in many cases it is perceived as little more than on-the-job training to perform tasks. The CINAHL database was searched using the keywords work-based learning, work-place learning and practice-based learning. Those articles that had a focus on post-registration nursing were selected and critically reviewed. Using the review of the literature, three key issues were explored. Work-based learning has the potential to change practice. Learning how to learn and critical reflection are key features. For effective work-based learning nurses need to take control of their own learning, receive support to critically reflect on their practice and be empowered to make changes to that practice. A critical review of the literature has identified essential considerations for the implementation of work-based learning. A change in culture from classroom to work-based learning requires careful planning and consideration of learning cultures. To enable effective work-based learning, nurse managers need to develop a learning culture in their workplace. They should ensure that skilled facilitation is provided to support staff with critical reflection and effecting changes in practice. CONTRIBUTION TO NEW KNOWLEDGE: This paper has identified three key issues that need to be considered in the development of work-based learning programmes. © 2010 The Authors. Journal compilation © 2010 Blackwell Publishing Ltd.

Using Peer Feedback to Promote Reflection on Open-Ended Problems

NASA Astrophysics Data System (ADS)

Reinholz, Daniel L.; Dounas-Frazer, Dimitri R.

2016-09-01

This paper describes a new approach for learning from homework called Peer-Assisted Reflection (PAR). PAR involves students using peer feedback to improve their work on open-ended homework problems. Collaborating with peers and revising one's work based on the feedback of others are important aspects of doing and learning physics. While notable exceptions exist, homework and exams are generally individual activities that do not support collaboration and refinement, which misses important opportunities to use assessment for learning. In contrast, PAR provides students with a structure to iteratively engage with challenging, open-ended problems and solicit the input of their peers to improve their work.

Learning Additional Languages as Hierarchical Probabilistic Inference: Insights From First Language Processing.

PubMed

Pajak, Bozena; Fine, Alex B; Kleinschmidt, Dave F; Jaeger, T Florian

2016-12-01

We present a framework of second and additional language (L2/L n ) acquisition motivated by recent work on socio-indexical knowledge in first language (L1) processing. The distribution of linguistic categories covaries with socio-indexical variables (e.g., talker identity, gender, dialects). We summarize evidence that implicit probabilistic knowledge of this covariance is critical to L1 processing, and propose that L2/L n learning uses the same type of socio-indexical information to probabilistically infer latent hierarchical structure over previously learned and new languages. This structure guides the acquisition of new languages based on their inferred place within that hierarchy, and is itself continuously revised based on new input from any language. This proposal unifies L1 processing and L2/L n acquisition as probabilistic inference under uncertainty over socio-indexical structure. It also offers a new perspective on crosslinguistic influences during L2/L n learning, accommodating gradient and continued transfer (both negative and positive) from previously learned to novel languages, and vice versa.

Learning Additional Languages as Hierarchical Probabilistic Inference: Insights From First Language Processing

PubMed Central

Pajak, Bozena; Fine, Alex B.; Kleinschmidt, Dave F.; Jaeger, T. Florian

2015-01-01

We present a framework of second and additional language (L2/Ln) acquisition motivated by recent work on socio-indexical knowledge in first language (L1) processing. The distribution of linguistic categories covaries with socio-indexical variables (e.g., talker identity, gender, dialects). We summarize evidence that implicit probabilistic knowledge of this covariance is critical to L1 processing, and propose that L2/Ln learning uses the same type of socio-indexical information to probabilistically infer latent hierarchical structure over previously learned and new languages. This structure guides the acquisition of new languages based on their inferred place within that hierarchy, and is itself continuously revised based on new input from any language. This proposal unifies L1 processing and L2/Ln acquisition as probabilistic inference under uncertainty over socio-indexical structure. It also offers a new perspective on crosslinguistic influences during L2/Ln learning, accommodating gradient and continued transfer (both negative and positive) from previously learned to novel languages, and vice versa. PMID:28348442

The use of team-based, guided inquiry learning to overcome educational disadvantages in learning human physiology: a structural equation model.

PubMed

Rathner, Joseph A; Byrne, Graeme

2014-09-01

The study of human bioscience is viewed as a crucial curriculum in allied health. Nevertheless, bioscience (and particularly physiology) is notoriously difficult for undergraduates, particularly academically disadvantaged students. So endemic are the high failure rates (particularly in nursing) that it has come to be known as "the human bioscience problem." In the present report, we describe the outcomes for individual success in studying first-year human physiology in a subject that emphasises team-based active learning as the major pedagogy for mastering subject learning outcomes. Structural equation modeling was used to develop a model of the impact team learning had on individual performance. Modeling was consistent with the idea that students with similar academic abilities (as determined by tertiary entrance rank) were advantaged (scored higher on individual assessment items) by working in strong teams (teams that scored higher in team-based assessments). Analysis of covariance revealed that students who studied the subject with active learning as the major mode of learning activities outperformed students who studied the subject using the traditional didactic teaching format (lectures and tutorials, P = 0.000). After adjustment for tertiary entrance rank (via analysis of covariance) on two individual tests (the final exam and a late-semester in-class test), individual student grades improved by 8% (95% confidence interval: 6-10%) and 12% (95% confidence interval: 10-14%) when students engaged in team-based active learning. These data quantitatively support the notion that weaker students working in strong teams can overcome their educational disadvantages. Copyright © 2014 The American Physiological Society.

The use of team-based, guided inquiry learning to overcome educational disadvantages in learning human physiology: a structural equation model

PubMed Central

Byrne, Graeme

2014-01-01

The study of human bioscience is viewed as a crucial curriculum in allied health. Nevertheless, bioscience (and particularly physiology) is notoriously difficult for undergraduates, particularly academically disadvantaged students. So endemic are the high failure rates (particularly in nursing) that it has come to be known as “the human bioscience problem.” In the present report, we describe the outcomes for individual success in studying first-year human physiology in a subject that emphasises team-based active learning as the major pedagogy for mastering subject learning outcomes. Structural equation modeling was used to develop a model of the impact team learning had on individual performance. Modeling was consistent with the idea that students with similar academic abilities (as determined by tertiary entrance rank) were advantaged (scored higher on individual assessment items) by working in strong teams (teams that scored higher in team-based assessments). Analysis of covariance revealed that students who studied the subject with active learning as the major mode of learning activities outperformed students who studied the subject using the traditional didactic teaching format (lectures and tutorials, P = 0.000). After adjustment for tertiary entrance rank (via analysis of covariance) on two individual tests (the final exam and a late-semester in-class test), individual student grades improved by 8% (95% confidence interval: 6–10%) and 12% (95% confidence interval: 10–14%) when students engaged in team-based active learning. These data quantitatively support the notion that weaker students working in strong teams can overcome their educational disadvantages. PMID:25179611

Work-Based Learning: Learning To Work; Working To Learn; Learning To Learn.

ERIC Educational Resources Information Center

Strumpf, Lori; Mains, Kristine

This document describes a work-based learning approach designed to integrate work and learning at the workplace and thereby help young people develop the skills required for changing workplaces. The following considerations in designing work-based programs are discussed: the trend toward high performance workplaces and changes in the way work is…

20 CFR 670.515 - What responsibilities do the center operators have in managing work-based learning?

Code of Federal Regulations, 2010 CFR

2010-04-01

... have in managing work-based learning? 670.515 Section 670.515 Employees' Benefits EMPLOYMENT AND... managing work-based learning? (a) The center operator must emphasize and implement work-based learning... arrangements with employers. Work-based learning must be under actual working conditions and must be designed...

20 CFR 670.515 - What responsibilities do the center operators have in managing work-based learning?

Code of Federal Regulations, 2011 CFR

2011-04-01

... have in managing work-based learning? 670.515 Section 670.515 Employees' Benefits EMPLOYMENT AND... managing work-based learning? (a) The center operator must emphasize and implement work-based learning... arrangements with employers. Work-based learning must be under actual working conditions and must be designed...

Prevention of falls, malnutrition and pressure ulcers among older persons - nursing staff's experiences of a structured preventive care process.

PubMed

Lannering, Christina; Ernsth Bravell, Marie; Johansson, Linda

2017-05-01

A structured and systematic care process for preventive work, aimed to reduce falls, pressure ulcers and malnutrition among older people, has been developed in Sweden. The process involves risk assessment, team-based interventions and evaluation of results. Since development, this structured work process has become web-based and has been implemented in a national quality registry called 'Senior Alert' and used countrywide. The aim of this study was to describe nursing staff's experience of preventive work by using the structured preventive care process as outlined by Senior Alert. Eight focus group interviews were conducted during 2015 including staff from nursing homes and home-based nursing care in three municipalities. The interview material was subjected to qualitative content analysis. In this study, both positive and negative opinions were expressed about the process. The systematic and structured work flow seemed to only partly facilitate care providers to improve care quality by making better clinical assessments, performing team-based planned interventions and learning from results. Participants described lack of reliability in the assessments and varying opinions about the structure. Furthermore, organisational structures limited the preventive work. © 2016 John Wiley & Sons Ltd.

Competence-Based Pharmacy Education in the University of Helsinki

PubMed Central

Katajavuori, Nina; Salminen, Outi; Vuorensola, Katariina; Huhtala, Helena; Vuorela, Pia; Hirvonen, Jouni

2017-01-01

In order to meet the expectations to act as an expert in the health care profession, it is of utmost importance that pharmacy education creates knowledge and skills needed in today’s working life. Thus, the planning of the curriculum should be based on relevant and up-to-date learning outcomes. In the University of Helsinki, a university wide curriculum reform called ‘the Big Wheel’ was launched in 2015. After the reform, the basic degrees of the university are two-cycle (Bachelor–Master) and competence-based, where the learning outcomes form a solid basis for the curriculum goals and implementation. In the Faculty of Pharmacy, this curriculum reform was conducted in two phases during 2012–2016. The construction of the curriculum was based on the most relevant learning outcomes concerning working life via high quality first (Bachelor of Science in Pharmacy) and second (Master of Science in Pharmacy) cycle degree programs. The reform was kicked off by interviewing all the relevant stakeholders: students, teachers, and pharmacists/experts in all the working life sectors of pharmacy. Based on these interviews, the intended learning outcomes of the Pharmacy degree programs were defined including both subject/contents-related and generic skills. The curriculum design was based on the principles of constructive alignment and new structures and methods were applied in order to foster the implementation of the learning outcomes. During the process, it became evident that a competence-based curriculum can be created only in close co-operation with the stakeholders, including teachers and students. Well-structured and facilitated co-operation amongst the teachers enabled the development of many new and innovative teaching practices. The European Union funded PHAR-QA project provided, at the same time, a highly relevant framework to compare the curriculum development in Helsinki against Europe-wide definitions of competences and learning outcomes in pharmacy education. PMID:28970441

The New School-Based Learning (SBL) to Work-Based Learning (WBL) Transition Module: A Practical Implementation in the Technical and Vocational Education (TVE) System in Bahrain

NASA Astrophysics Data System (ADS)

Alseddiqi, M.; Mishra, R.; Pislaru, C.

2012-05-01

This paper diagnoses the implementation of a new engineering course entitled 'school-based learning (SBL) to work-based learning (WBL) transition module' in the Bahrain Technical and Vocational Education (TVE) learning environment. The module was designed to incorporate an innovative education and training approach with a variety of learning activities that are included in various learning case studies. Each case study was based on with learning objectives coupled with desired learning outcomes. The TVE students should meet the desired outcomes after the completion of the learning activities and assessments. To help with the implementation phase of the new module, the authors developed guidelines for each case study. The guidelines incorporated learning activities to be delivered in an integrated learning environment. The skills to be transferred were related to cognitive, affective, and technical proficiencies. The guidelines included structured instructions to help students during the learning process. In addition, technology was introduced to improve learning effectiveness and flexibility. The guidelines include learning indicators for each learning activity and were based on their interrelation with competencies to be achieved with respect to modern industrial requirements. Each learning indicator was then correlated against the type of learning environment, teaching and learning styles, examples of mode of delivery, and assessment strategy. Also, the learning activities were supported by technological features such as discussion forums for social perception and engagement and immediate feedback exercises for self-motivation. Through the developed module, TVE teachers can effectively manage the teaching and learning process as well as the assessment strategy to satisfy students' individual requirements and enable them to meet workplace requirements.

Geometrical structure of Neural Networks: Geodesics, Jeffrey's Prior and Hyper-ribbons

NASA Astrophysics Data System (ADS)

Hayden, Lorien; Alemi, Alex; Sethna, James

2014-03-01

Neural networks are learning algorithms which are employed in a host of Machine Learning problems including speech recognition, object classification and data mining. In practice, neural networks learn a low dimensional representation of high dimensional data and define a model manifold which is an embedding of this low dimensional structure in the higher dimensional space. In this work, we explore the geometrical structure of a neural network model manifold. A Stacked Denoising Autoencoder and a Deep Belief Network are trained on handwritten digits from the MNIST database. Construction of geodesics along the surface and of slices taken from the high dimensional manifolds reveal a hierarchy of widths corresponding to a hyper-ribbon structure. This property indicates that neural networks fall into the class of sloppy models, in which certain parameter combinations dominate the behavior. Employing this information could prove valuable in designing both neural network architectures and training algorithms. This material is based upon work supported by the National Science Foundation Graduate Research Fellowship under Grant No . DGE-1144153.

Example-Based Learning in Heuristic Domains: A Cognitive Load Theory Account

ERIC Educational Resources Information Center

Renkl, Alexander; Hilbert, Tatjana; Schworm, Silke

2009-01-01

One classical instructional effect of cognitive load theory (CLT) is the worked-example effect. Although the vast majority of studies have focused on well-structured and algorithmic sub-domains of mathematics or physics, more recent studies have also analyzed learning with examples from complex domains in which only heuristic solution strategies…

Algorithm Visualization System for Teaching Spatial Data Algorithms

ERIC Educational Resources Information Center

Nikander, Jussi; Helminen, Juha; Korhonen, Ari

2010-01-01

TRAKLA2 is a web-based learning environment for data structures and algorithms. The system delivers automatically assessed algorithm simulation exercises that are solved using a graphical user interface. In this work, we introduce a novel learning environment for spatial data algorithms, SDA-TRAKLA2, which has been implemented on top of the…

Observational Learning on Industry Work Practices toward Job Readiness

ERIC Educational Resources Information Center

Rojuli, Subkhan; Rahayu, Agus; Disman

2017-01-01

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

Tying knots: an activity theory analysis of student learning goals in clinical education.

PubMed

Larsen, Douglas P; Wesevich, Austin; Lichtenfeld, Jana; Artino, Antony R; Brydges, Ryan; Varpio, Lara

2017-07-01

Learning goal programmes are often created to help students develop self-regulated learning skills; however, these programmes do not necessarily consider the social contexts surrounding learning goals or how they fit into daily educational practice. We investigated a high-frequency learning goal programme in which students generated and shared weekly learning goals with their clinical teams in core Year 3 clerkships. Our study explores: (i) how learning goals were incorporated into the clinical work, and (ii) the factors that influenced the use of students' learning goals in work-based learning. We conducted semi-structured interviews with 14 students and 14 supervisors (attending physicians and residents) sampled from all participating core clerkships. Interviews were coded for emerging themes. Using cultural historical activity theory and knotworking as theoretical lenses, we developed a model of the factors that influenced students' learning goal usage in a work-based learning context. Students and supervisors often faced the challenge of reconciling contradictions that arose when the desired outcomes of student skill development, grading and patient care were not aligned. Learning goals could function as tools for developing new ways of acting that overcame those contradictions by facilitating collaborative effort between students and their supervisors. However, for new collaborations to take place, both students and supervisors had to engage with the goals, and the necessary patients needed to be present. When any one part of the system did not converge around the learning goals, the impact of the learning goals programme was limited. Learning goals are potentially powerful tools to mediate interactions between students, supervisors and patients, and to reconcile contradictions in work-based learning environments. Learning goals provide a means to develop not only learners, but also learning systems. © 2017 John Wiley & Sons Ltd and The Association for the Study of Medical Education.

Covering the Bases: Exploring Alternative Systems

ERIC Educational Resources Information Center

Kurz, Terri L.; Garcia, Jorge

2015-01-01

Since the 1950s, the understanding of how the base 10 system works has been encouraged through alternative base systems (Price 1995; Woodward 2004). If high school students are given opportunities to learn other base systems and analyze what they denote, we believe that they will better understand the structure of base 10 and its operations…

Personalized E- learning System Based on Intelligent Agent

NASA Astrophysics Data System (ADS)

Duo, Sun; Ying, Zhou Cai

Lack of personalized learning is the key shortcoming of traditional e-Learning system. This paper analyzes the personal characters in e-Learning activity. In order to meet the personalized e-learning, a personalized e-learning system based on intelligent agent was proposed and realized in the paper. The structure of system, work process, the design of intelligent agent and the realization of intelligent agent were introduced in the paper. After the test use of the system by certain network school, we found that the system could improve the learner's initiative participation, which can provide learners with personalized knowledge service. Thus, we thought it might be a practical solution to realize self- learning and self-promotion in the lifelong education age.

Employers Talk about Building a School-to-Work System: Voices from the Field.

ERIC Educational Resources Information Center

Wills, Joan L., Ed.

This document contains background information on the school-to-work (STW) movement and 20 essays written by employers and intermediaries involved in STW program planning and implementation. Four points are highlighted: (1) it takes time to assemble an STW system; (2) the number of students participating in structured work-based learning remains…

A phenomenological research study: Perspectives of student learning through small group work between undergraduate nursing students and educators.

PubMed

Wong, Florence Mei Fung

2018-06-18

Small group work is an effective teaching-learning approach in nursing education to enhance students' learning in theoretical knowledge and skill development. Despite its potential advantageous effects on learning, little is known about its actual effects on students' learning from students' and educators' perspectives. To understand students' learning through small group work from the perspectives of students and educators. A qualitative study with focus group interviews was carried out. Semi-structured interviews with open-ended questions were performed with 13 undergraduate nursing students and 10 educators. Four main themes, "initiative learning", "empowerment of interactive group dynamics", "factors for creating effective learning environment", and "barriers influencing students' learning", were derived regarding students' learning in small group work based on the perspectives of the participants. The results showed the importance of learning attitudes of students in individual and group learning. Factors for creating an effective learning environment, including preference for forming groups, effective group size, and adequacy of discussion, facilitate students' learning with the enhancement of learning engagement in small group work. The identified barriers, such as "excessive group work", "conflicts", and "passive team members" can reduce students' motivation and enjoyment of learning. Small group work is recognized as an effective teaching method for knowledge enhancement and skill development in nursing education. All identified themes are important to understand the initiatives of students and group learning, factors influencing an effective learning environment, and barriers hindering students' learning. Nurse educators should pay more attention to the factors that influence an effective learning environment and reduce students' commitment and group dynamics. Moreover, students may need further support to reduce barriers that impede students' learning motivation and enjoyment. Copyright © 2018 Elsevier Ltd. All rights reserved.

Cooperative Learning: We Can also Do It without Task Structure

ERIC Educational Resources Information Center

Serrano, Jose Manuel; Pons, Rosa Maria

2007-01-01

The present study focuses on the use of a cooperative methodology with university students during the last year of their degree programme. The task structure could be freely chosen, and there were no restraints on group decisions to deal with the classroom work. All the elements of cooperation were based on a reward structure. The results show…

Research on Webbed Connectivity in a Web-Based Learning Environment: Online Social Work Education

ERIC Educational Resources Information Center

Noble, Dorinda; Russell, Amy Catherine

2013-01-01

This paper describes the preliminary data and analysis of how students in an online MSW program perceive their experiences, interactions, and responses to learning structure, material, and technology in the Web environment. The student perceptions, which have been used to refine the online program, highlight how important it is to students to feel…

Knowledge of Mental Capacity Issues in Community Teams for Adults with Learning Disabilities

ERIC Educational Resources Information Center

Willner, Paul; Jenkins, Rosemary; Rees, Paul; Griffiths, Vanessa J.; John, Elinor

2011-01-01

Background: The aim of this study was to evaluate the state of knowledge of mental capacity issues among health and social services professionals working in community teams supporting people with learning disabilities. Methods A structured interview was constructed around three scenarios, based on actual cases, concerning a financial/legal issue,…

Students' Involvement in Continuous Assessment Methodologies: A Case Study for a Distributed Information Systems Course

ERIC Educational Resources Information Center

Cano, M.-D.

2011-01-01

The creation of the new European Higher Education Area (EHEA), with the corresponding changes in the structure and content of university degrees, offers a great opportunity to review learning methodologies. This paper investigates the effect on students of moving from a traditional learning process, based on lectures and laboratory work, to an…

Evaluation of the Effectiveness of a Web-Based Learning Design for Adult Computer Science Courses

ERIC Educational Resources Information Center

Antonis, Konstantinos; Daradoumis, Thanasis; Papadakis, Spyros; Simos, Christos

2011-01-01

This paper reports on work undertaken within a pilot study concerned with the design, development, and evaluation of online computer science training courses. Drawing on recent developments in e-learning technology, these courses were structured around the principles of a learner-oriented approach for use with adult learners. The paper describes a…

Education of the modern surgical resident: novel approaches to learning in the era of the 80-hour workweek.

PubMed

Nguyen, Liz; Brunicardi, F Charles; Dibardino, Daniel J; Scott, Bradford G; Awad, Samir S; Bush, Ruth L; Brandt, Mary L

2006-06-01

Implementation of the 80-hour work week has resulted in limitations on the hours available for resident education, creating a need for innovative approaches to teach surgical residents successfully. Herein we report the methods and results of an innovative didactic learning program at a large academic surgical residency program. Between 2004 and 2005, based on known principles of adult education and innovative learning techniques, a didactic learning program was instituted in a major academic surgery program. The course work consisted of a structured reading program using Schwartz's Textbook of Surgery, with weekly testing and problem-based learning (PBL) groups led by surgical faculty. The residents' progress was assessed by American Board of Surgery In-Training Examination (ABSITE) training scores before and after program implementation. A resident survey was also conducted to assess residents' attitudes toward the new program. Results were reported as a mean, and categoric variables were compared using a paired Student's t-test. During the academic year of the structured reading program, the mean ABSITE score improved by 10% (P=0.02) from the previous year. The postgraduate year 4 class had the largest change, with a score increase of 17% over the previous year's performance (P=0.02). Survey results demonstrated that 64% of the responders agreed that the small-group PBL was preferable for achieving educational goals. Furthermore, 89% of residents responded that the PBL groups improved interaction between residents and faculty members. An innovative formal learning program based on a major surgical textbook with weekly testing and small group sessions can significantly improve surgical training in the modern era of work-hour restrictions. Furthermore, surgical trainees find this format to be innovative and useful for improving didactic teaching.

The quality and impact of computer supported collaborative learning (CSCL) in radiology case-based learning.

PubMed

Kourdioukova, Elena V; Verstraete, Koenraad L; Valcke, Martin

2011-06-01

The aim of this research was to explore (1) clinical years students' perceptions about radiology case-based learning within a computer supported collaborative learning (CSCL) setting, (2) an analysis of the collaborative learning process, and (3) the learning impact of collaborative work on the radiology cases. The first part of this study focuses on a more detailed analysis of a survey study about CSCL based case-based learning, set up in the context of a broader radiology curriculum innovation. The second part centers on a qualitative and quantitative analysis of 52 online collaborative learning discussions from 5th year and nearly graduating medical students. The collaborative work was based on 26 radiology cases regarding musculoskeletal radiology. The analysis of perceptions about collaborative learning on radiology cases reflects a rather neutral attitude that also does not differ significantly in students of different grade levels. Less advanced students are more positive about CSCL as compared to last year students. Outcome evaluation shows a significantly higher level of accuracy in identification of radiology key structures and in radiology diagnosis as well as in linking the radiological signs with available clinical information in nearly graduated students. No significant differences between different grade levels were found in accuracy of using medical terminology. Students appreciate computer supported collaborative learning settings when tackling radiology case-based learning. Scripted computer supported collaborative learning groups proved to be useful for both 5th and 7th year students in view of developing components of their radiology diagnostic approaches. Copyright © 2010 Elsevier Ireland Ltd. All rights reserved.

20 CFR 670.515 - What responsibilities do the center operators have in managing work-based learning?

Code of Federal Regulations, 2012 CFR

2012-04-01

... have in managing work-based learning? 670.515 Section 670.515 Employees' Benefits EMPLOYMENT AND... operators have in managing work-based learning? (a) The center operator must emphasize and implement work... training, and through arrangements with employers. Work-based learning must be under actual working...

20 CFR 670.515 - What responsibilities do the center operators have in managing work-based learning?

Code of Federal Regulations, 2013 CFR

2013-04-01

... have in managing work-based learning? 670.515 Section 670.515 Employees' Benefits EMPLOYMENT AND... operators have in managing work-based learning? (a) The center operator must emphasize and implement work... training, and through arrangements with employers. Work-based learning must be under actual working...

20 CFR 670.515 - What responsibilities do the center operators have in managing work-based learning?

Code of Federal Regulations, 2014 CFR

2014-04-01

... have in managing work-based learning? 670.515 Section 670.515 Employees' Benefits EMPLOYMENT AND... operators have in managing work-based learning? (a) The center operator must emphasize and implement work... training, and through arrangements with employers. Work-based learning must be under actual working...

Learning by Identification of Mistakes in Workings in Engineering Modules

ERIC Educational Resources Information Center

Chian, S. C.

2018-01-01

Conventional graded assignments are commonly structured in a format where students attempt a prescribed question and are graded based on the completeness of their workings rather than the understanding of concepts. An alternative assignment format was proposed which requires students to identify and explain mistakes in a given set of workings…

Leveraging Intermediaries to Expand Work-Based Learning. Connecting the Classroom to Careers: The State's Role in Work-Based Learning

ERIC Educational Resources Information Center

Advance CTE: State Leaders Connecting Learning to Work, 2016

2016-01-01

Work-based learning is an educational strategy that offers students an opportunity to reinforce and deepen their classroom learning, explore future career fields and demonstrate their skills in an authentic setting. Managing work-based learning requires layers of coordination, which is typically done by an individual or organizational…

Learning in the tutorial group: a balance between individual freedom and institutional control.

PubMed

McAllister, Anita; Aanstoot, Janna; Hammarström, Inger Lundeborg; Samuelsson, Christina; Johannesson, Eva; Sandström, Karin; Berglind, Ulrika

2014-01-01

The study investigates factors in problem-based learning tutorial groups which promote or inhibit learning. The informants were tutors and students from speech-language pathology and physiotherapy programmes. Semi-structured focus-group interviews and individual interviews were used. Results revealed three themes: Responsibility. Time and Support. Under responsibility, the delicate balance between individual and institutional responsibility and control was shown. Time included short and long-term perspectives on learning. Under support, supporting documents, activities and personnel resources were mentioned. In summary, an increased control by the program and tutors decreases student's motivation to assume responsibility for learning. Support in tutorial groups needs to adapt to student progression and to be well aligned to tutorial work to have the intended effect. A lifelong learning perspective may help students develop a meta-awareness regarding learning that could make tutorial work more meaningful.

Instituting systems-based practice and practice-based learning and improvement: a curriculum of inquiry.

PubMed

Wilper, Andrew P; Smith, Curtis Scott; Weppner, William

2013-09-16

The Accreditation Council for Graduate Medical Education (ACGME) requires that training programs integrate system-based practice (SBP) and practice-based learning and improvement (PBLI) into internal medicine residency curricula. CONTEXT AND SETTING: We instituted a seminar series and year-long-mentored curriculum designed to engage internal medicine residents in these competencies. Residents participate in a seminar series that includes assigned reading and structured discussion with faculty who assist in the development of quality improvement or research projects. Residents pursue projects over the remainder of the year. Monthly works in progress meetings, protected time for inquiry, and continued faculty mentorship guide the residents in their project development. Trainees present their work at hospital-wide grand rounds at the end of the academic year. We performed a survey of residents to assess their self-reported knowledge, attitudes and skills in SBP and PBLI. In addition, blinded faculty scored projects for appropriateness, impact, and feasibility. We measured resident self-reported knowledge, attitudes, and skills at the end of the academic year. We found evidence that participants improved their understanding of the context in which they were practicing, and that their ability to engage in quality improvement projects increased. Blinded faculty reviewers favorably ranked the projects' feasibility, impact, and appropriateness. The 'Curriculum of Inquiry' generated 11 quality improvement and research projects during the study period. Barriers to the ongoing work include a limited supply of mentors and delays due to Institutional Review Board approval. Hospital leadership recognizes the importance of the curriculum, and our accreditation manager now cites our ongoing work. A structured residency-based curriculum facilitates resident demonstration of SBP and practice-based learning and improvement. Residents gain knowledge and skills though this enterprise and hospitals gain access to trainees who help to solve ongoing problems and meet accreditation requirements.

The role of work-related learning in the identity transformation of Canadian workers with low literacy skills

NASA Astrophysics Data System (ADS)

Taylor, Maurice C.; Trumpower, David L.; Purse, Edward R.

2015-12-01

Workplaces are settings where power, knowledge and self are brought together in a complex social environment which includes various forms of struggle related to identity, agency, socio-cultural norms, political structures and functional practices. The purpose of this article is to uncover how formal and informal work-related learning processes influence the identity transformation of workers with low literacy and essential skills. Drawing on two recent Canadian data bases which serve as cases in this study, the position taken by the authors is that the organisational context can both facilitate and impede worker subjectivity. Various conditions, approaches to learning and training pathways are examined as they contribute to social cognitive and transformative learning theories.

Measuring Work-Based Learning for Continuous Improvement. Connecting the Classroom to Careers: The State's Role in Work-Based Learning

ERIC Educational Resources Information Center

Advance CTE: State Leaders Connecting Learning to Work, 2016

2016-01-01

Work-based learning provides a continuum of activities--from career exploration and job shadowing to internships and apprenticeships--that help students develop technical and professional skills in an authentic work environment. While many work-based learning programs are designed and operated at the local level, several states have begun building…

The virtual continuity in learning programme: results.

PubMed

Wood, Eleanor; Tso, Simon

2012-08-01

The implementation of the European Working Time Directive and specialty-driven care has resulted in the loss of continuity of patient care, and thus a loss of continuity in learning. We proposed a potential solution to this fragmentation of junior doctor workplace learning in the Virtual Continuity in Learning Programme (VCLP). The VCLP enables the doctor to follow the virtual patient journey (of an actual patient who is no longer under their care) using the Virtual Consulting Room (VcR), and to understand the rationale behind clinical decision making prior to completing their case-based discussion (CbD) work-based assessments. Fifty-seven out of 62 (92%) of foundation doctors (Homerton University Hospital, London, UK) consented to participate in the study. Web-tracking software was used. Fifty-three out of 57 (93%) doctors completed an initial questionnaire. Twenty-nine out of 57 (51%) doctors returned a follow-up questionnaire 6 months later. Eleven doctors were interviewed in three focus groups: the VcR user group; the VcR non-user group; and a mixed group. The data was analysed qualitatively. Tracking showed 33.3 per cent (19/57) of doctors used the VcR over a 6-month period. Interestingly doctors used the VcR in a range of situations, not solely as instructed. Results enabled us to understand how doctors learn and their perception of using the VCLP to support their learning and completion of work-based assessments. Foundation doctors use the educational resources available, including the VcR, to help structure their workplace learning. The majority of VcR users found it particularly useful for just-in-time learning. The VCLP offers support to junior doctors learning during their preparation for case-based discussion. © Blackwell Publishing Ltd 2012.

Work-Based Learning: A Resource Guide for Change. Test Draft.

ERIC Educational Resources Information Center

Hudson River Center for Program Development, Glenmont, NY.

This resource guide is intended to provide New York schools, business/industry, and others with resources to develop work-based learning strategies and components. Section 1 examines the scope, foundation, categories, and operation of work-based learning. Section 2 presents detailed information about the following forms of work-based learning:…

The development and validation of the On-the-job Learning Styles Questionnaire for the Nursing Profession.

PubMed

Berings, Marjolein G M C; Poell, Rob F; Simons, P Robert-Jan; van Veldhoven, Marc J P M

2007-06-01

This paper is a report of a study to develop and test the psychometric properties of the On-the-job Learning Style Questionnaire for the Nursing Profession. Although numerous questionnaires measuring learning styles have been developed, none are suitable for working environments. Existing instruments do not meet the requirements for use in workplace settings and tend to ignore the influence of different learning situations. The questionnaire was constructed using a situation-response design, measuring learning activities in different on-the-job learning situations. Content validity was ensured by basing the questionnaire on interview studies. The questionnaire was distributed to 912 Registered Nurses working in different departments of 13 general hospitals in the Netherlands at the end of 2005. The response rate was 41% (372 questionnaires). The internal factor structure of the questionnaire was partly based on the learning activities in which nurses participate and partly on the learning situation in which they are performed. The internal consistency was good. The situation-response design of the questionnaire demonstrated its added value. Construct validity was estimated using intercorrelations between the scales, and criterion validity was estimated based on the relationships of the scales with perceived professional competence. The On-the-job Learning Styles Questionnaire for the Nursing Profession is well suited to describing nurses' learning styles in on-the-job settings and has satisfactory psychometric properties.

Service Learning in Social Work Education: The State of Knowledge, Pedagogical Practicalities, and Practice Conundrums

ERIC Educational Resources Information Center

Lemieux, Catherine M.; Allen, Priscilla D.

2007-01-01

This article reviews research-based knowledge about service learning in social work education. Student learning outcomes common to both service learning and social work education are examined, and the research-based literature on service learning in social work is analyzed. Service-learning practice issues in social work education are described:…

Soil-pipe interaction modeling for pipe behavior prediction with super learning based methods

NASA Astrophysics Data System (ADS)

Shi, Fang; Peng, Xiang; Liu, Huan; Hu, Yafei; Liu, Zheng; Li, Eric

2018-03-01

Underground pipelines are subject to severe distress from the surrounding expansive soil. To investigate the structural response of water mains to varying soil movements, field data, including pipe wall strains in situ soil water content, soil pressure and temperature, was collected. The research on monitoring data analysis has been reported, but the relationship between soil properties and pipe deformation has not been well-interpreted. To characterize the relationship between soil property and pipe deformation, this paper presents a super learning based approach combining feature selection algorithms to predict the water mains structural behavior in different soil environments. Furthermore, automatic variable selection method, e.i. recursive feature elimination algorithm, were used to identify the critical predictors contributing to the pipe deformations. To investigate the adaptability of super learning to different predictive models, this research employed super learning based methods to three different datasets. The predictive performance was evaluated by R-squared, root-mean-square error and mean absolute error. Based on the prediction performance evaluation, the superiority of super learning was validated and demonstrated by predicting three types of pipe deformations accurately. In addition, a comprehensive understand of the water mains working environments becomes possible.

Teaching undergraduate biomechanics with Just-in-Time Teaching.

PubMed

Riskowski, Jody L

2015-06-01

Biomechanics education is a vital component of kinesiology, sports medicine, and physical education, as well as for many biomedical engineering and bioengineering undergraduate programmes. Little research exists regarding effective teaching strategies for biomechanics. However, prior work suggests that student learning in undergraduate physics courses has been aided by using the Just-in-Time Teaching (JiTT). As physics understanding plays a role in biomechanics understanding, the purpose of study was to evaluate the use of a JiTT framework in an undergraduate biomechanics course. This two-year action-based research study evaluated three JiTT frameworks: (1) no JiTT; (2) mathematics-based JiTT; and (3) concept-based JiTT. A pre- and post-course assessment of student learning used the biomechanics concept inventory and a biomechanics concept map. A general linear model assessed differences between the course assessments by JiTT framework in order to evaluate learning and teaching effectiveness. The results indicated significantly higher learning gains and better conceptual understanding in a concept-based JiTT course, relative to a mathematics-based JiTT or no JiTT course structure. These results suggest that a course structure involving concept-based questions using a JiTT strategy may be an effective method for engaging undergraduate students and promoting learning in biomechanics courses.

Group work: Facilitating the learning of international and domestic undergraduate nursing students.

PubMed

Shaw, Julie; Mitchell, Creina; Del Fabbro, Letitia

2015-01-01

Devising innovative strategies to address internationalization is a contemporary challenge for universities. A Participatory Action Research (PAR) project was undertaken to identify issues for international nursing students and their teachers. The findings identified group work as a teaching strategy potentially useful to facilitate international student learning. The educational intervention of structured group work was planned and implemented in one subject of a Nursing degree. Groups of four to five students were formed with one or two international students per group. Structural support was provided by the teacher until the student was learning independently, the traditional view of scaffolding. The group work also encouraged students to learn from one another, a contemporary understanding of scaffolding. Evaluation of the group work teaching strategy occurred via anonymous, self-completed student surveys. The student experience data were analysed using descriptive statistical techniques, and free text comments were analysed using content analysis. Over 85% of respondents positively rated the group work experience. Overwhelmingly, students reported that class discussions and sharing nursing experiences positively influenced their learning and facilitated exchange of knowledge about nursing issues from an international perspective. This evaluation of a structured group work process supports the use of group work in engaging students in learning, adding to our understanding of purposeful scaffolding as a pathway to enhance learning for both international and domestic students. By explicitly using group work within the curriculum, educators can promote student learning, a scholarly approach to teaching and internationalization of the curriculum.

Work-Based Learning: A Practical Approach for Learning to Work and Working to Learn. A Case Study on Decision-Makers' Professional Development in Iran

ERIC Educational Resources Information Center

Arani, Mohammad Reza Sarkar; Alagamandan, Jafar; Tourani, Heidar

2004-01-01

The work-based learning model of human resource development has captured a great deal of attention and has gained increasing importance in higher education in recent years. Work-based learning is a powerful phenomenon that attempts to help policy-makers, managers and curriculum developers improve the quality of the decision and organizational…

Nebraska Work Based Learning Manual. Planning and Implementation Guides for Educators, Employers, Policymakers, and Parents.

ERIC Educational Resources Information Center

Nebraska State Dept. of Education, Lincoln.

This manual contains a series of 10 detailed guides for school practitioners who are beginning to create work-based learning programs at their schools. Work-Based Learning Overview defines the different elements of work-based learning and describes the roles of program participants. Program Planning Guide offers suggestions about how to plan…

Integrating Mathematical Modeling for Undergraduate Pre-Service Science Education Learning and Instruction in Middle School Classrooms

ERIC Educational Resources Information Center

Carrejo, David; Robertson, William H.

2011-01-01

Computer-based mathematical modeling in physics is a process of constructing models of concepts and the relationships between them in the scientific characteristics of work. In this manner, computer-based modeling integrates the interactions of natural phenomenon through the use of models, which provide structure for theories and a base for…

Sequence-specific bias correction for RNA-seq data using recurrent neural networks.

PubMed

Zhang, Yao-Zhong; Yamaguchi, Rui; Imoto, Seiya; Miyano, Satoru

2017-01-25

The recent success of deep learning techniques in machine learning and artificial intelligence has stimulated a great deal of interest among bioinformaticians, who now wish to bring the power of deep learning to bare on a host of bioinformatical problems. Deep learning is ideally suited for biological problems that require automatic or hierarchical feature representation for biological data when prior knowledge is limited. In this work, we address the sequence-specific bias correction problem for RNA-seq data redusing Recurrent Neural Networks (RNNs) to model nucleotide sequences without pre-determining sequence structures. The sequence-specific bias of a read is then calculated based on the sequence probabilities estimated by RNNs, and used in the estimation of gene abundance. We explore the application of two popular RNN recurrent units for this task and demonstrate that RNN-based approaches provide a flexible way to model nucleotide sequences without knowledge of predetermined sequence structures. Our experiments show that training a RNN-based nucleotide sequence model is efficient and RNN-based bias correction methods compare well with the-state-of-the-art sequence-specific bias correction method on the commonly used MAQC-III data set. RNNs provides an alternative and flexible way to calculate sequence-specific bias without explicitly pre-determining sequence structures.

Utah Work-Based Learning Manual.

ERIC Educational Resources Information Center

Utah State Office of Education, Salt Lake City.

This document presents materials to assist Utah school personnel who are initiating, implementing, or improving work-based learning opportunities for students. The document presents detailed guidelines for creating and maintaining work-based learning systems in schools and resource materials for improving existing work-based opportunities. Formal…

Can Work-Based Learning Add to the Research Inventory of Higher Education? The Case of Collaborative Research

ERIC Educational Resources Information Center

Portwood, Derek

2007-01-01

Work-based learning's preoccupation with developing award-bearing programmes has affected the scope and style of work-based research. While offering development opportunities for work-based research, the emphasis of work-based learning programmes on the individual learner has curtailed the use of collaborative research. This article explores how…

The Effectiveness of Structured Co-Operative Teaching and Learning in Greek Primary School Classrooms

ERIC Educational Resources Information Center

Kaldi, Stavroula; Filippatou, Diamanto; Anthopoulou, Barbara

2014-01-01

This study focuses upon the effectiveness of structured co-operative group work on primary school students, aged between 8.5 and 9.5 years old, regarding their content knowledge, attitudes towards co-operative group work, experiential learning and open-ended curriculum as well as students' social and learning behaviour during co-operative group…

Forum for Organisational Learning: Combining Learning at Work, Organisational Learning and Training in New Ways.

ERIC Educational Resources Information Center

Simons, P. R. J.; Germans, J.; Ruijters, M.

2003-01-01

The Forum for Organisational Learning is designed to bridge gaps among individual, group/team, and organizational learning. Organizational representatives form communities of learning; their core content involves five paradoxes: top-down and bottom-up approaches, working and learning, individual and organizational goals, structure and empowerment…

Being Online Peer Supported: Experiences from a Work-Based Learning Programme

ERIC Educational Resources Information Center

Altinay Aksal, Fahriye; Altinay, Zehra; De Rossi, Gazivalerio; Isman, Aytekin

2012-01-01

Problem Statement: Work-based learning programmes have become an increasingly popular way of fulfilling the desire for life-long learning; multi-dimensional work-based learning modes have recently played a large role in both personal and institutional development. The peculiarity of this innovative way of learning derives from the fact that…

Designing a Problem-Based Learning Environment for ESL Students in Business Communication.

ERIC Educational Resources Information Center

Allen, Roberta; Rooney, Pam

1998-01-01

Describes a problem-based course structure (that focuses on problem solving, critical thinking, and team skills) for an upper-level business writing course that allows both English-as-a-Second-Language (ESL) and Native English-speaking students the opportunity to improve communication abilities in cross-cultural work groups. Discusses cooperative…

Organizational learning capability and organizational citizenship behaviour in the health sector: examining the role of happiness at work from a gender perspective.

PubMed

Salas-Vallina, Andrés; Alegre, Joaquin; Fernández, Rafael

2017-04-01

Both researchers and managers are interested in finding the factors that raise organizational citizenship behaviour (OCB), particularly in the health sector. In this complex context, characterized by a high workload, it becomes essential that physicians voluntarily contribute beyond their official job description. Our research aims to evidence the working conditions that promote OCB, considering the role of organizational learning capability through happiness at work. Our research was based on a sample of 167 allergists at Spanish public hospitals, and by means of structural equation models, interesting results were found. We offer to hospital managers both a tool and an explanation for the fostering of OCB. Physicians that progress through learning, under positive attitudes at work, may indeed behave more civically, going beyond their job description. Copyright © 2016 John Wiley & Sons, Ltd. Copyright © 2016 John Wiley & Sons, Ltd.

Jobs to Manufacturing Careers: Work-Based Courses. Work-Based Learning in Action

ERIC Educational Resources Information Center

Kobes, Deborah

2016-01-01

This case study, one of a series of publications exploring effective and inclusive models of work-based learning, finds that work-based courses bring college to the production line by using the job as a learning lab. Work-based courses are an innovative way to give incumbent workers access to community college credits and degrees. They are…

Mapping the work-based learning of novice teachers: charting some rich terrain.

PubMed

Cook, Vivien

2009-12-01

Work-based non-formal learning plays a key role in faculty development yet these processes are yet to be described in detail in medical education. This study sets out to illuminate these processes so that potential benefits for new and inexperienced medical educators and their mentors can be realised. The non-formal learning processes of 12 novice teachers were investigated across hospital, general practice and medical school settings. The research sought to describe 'what' and 'how' non-formal learning takes place, and whether these processes differ across teaching sites. Both clinical and non-clinical teachers of medical undergraduates from one inner city medical school were recruited for the study. Through semi-structured interviews and a 'concept map', participants were asked to identify the people and tasks which they considered central to helping them become more expert as educators. Results identified non-formal learning across a number of key dimensions, including personal development, task and role performance, and optimising clinical teaching. This learning takes place as an outcome of experience, observation, reflection and student feedback. Non-formal learning is a significant aspect of the development of novice teachers and as such it needs to be placed more firmly upon the agenda of faculty development.

An exploration of the relationship between academic and experiential learning approaches in vocational education.

PubMed

de Jong, Jan A Stavenga; Wierstra, Ronny F A; Hermanussen, José

2006-03-01

Research on individual learning approaches (or learning styles) is split in two traditions, one of which is biased towards academic learning, and the other towards learning from direct experience. In the reported study, the two traditions are linked by investigating the relationships between school-based (academic) and work-based (experiential) learning approaches of students in vocational education programs. Participants were 899 students of a Dutch school for secondary vocational education; 758 provided data on school-based learning, and 407 provided data on work-based learning, resulting in an overlap of 266 students from whom data were obtained on learning in both settings. Learning approaches in school and work settings were measured with questionnaires. Using factor analysis and cluster analysis, items and students were grouped, both with respect to school- and work-based learning. The study identified two academic learning dimensions (constructive learning and reproductive learning), and three experiential learning dimensions (analysis, initiative, and immersion). Construction and analysis were correlated positively, and reproduction and initiative negatively. Cluster analysis resulted in the identification of three school-based learning orientations and three work-based learning orientations. The relation between the two types of learning orientations, expressed in Cramér's V, appeared to be weak. It is concluded that learning approaches are relatively context specific, which implies that neither theoretical tradition can claim general applicability.

Guiding science expeditions: The design of a learning environment for project-based science

NASA Astrophysics Data System (ADS)

Polman, Joseph Louis

Project-based pedagogy has been revived recently as a teaching strategy for promoting students' active engagement in learning science by doing science. Numerous reform efforts have encouraged project-based teaching in high schools, along with a range of supports for its implementation, often including computers and the Internet. History has shown, however, that academic research and new technologies are not enough to effect real change in classrooms. Ultimately, teachers accomplish activity with their students daily in classrooms. Putting the idea of project-based teaching into practice depends on many particulars of teachers' situated work with students. To better understand the complexity of project-based science teaching in schools, I conducted an interpretive case study of one exceptional teacher's work. The teacher devotes all class time after the beginning of the year to open-ended, student-designed Earth Science research projects. Over four years of involvement with the Learning through Collaborative Visualization (CoVis) reform effort, this teacher has developed, implemented, and refined strategies for supporting and guiding students in conducting open-ended inquiry. Through a close examination of the teacher's work supporting student projects, I explore the design issues involved in such an endeavor, including affordances, constraints, and tradeoffs. In particular, I show how time constrains both student and teacher action, how the traditional school culture and grading create stumbling blocks for change, and how conflicting beliefs about teaching and learning undermine the accomplishment of guided inquiry. I also show how Internet tools including Usenet news, email, and the World Wide Web afford students an opportunity to gather and make use of distributed expertise and scientific data resources; how an activity structure, combined with a corresponding structure to the artifact of the final written product, supports student accomplishment of unfamiliar practices; and how the teacher guides students in real time through mutually transformative communication. I synthesize the important design elements into a framework for conducting project-based science, especially in settings where such pedagogy is relatively new. This study will inform teachers and reformers of the practical and complex work of implementing project-based teaching in schools.

Problem-based learning in regional anatomy education at Peking University.

PubMed

Wang, Jun; Zhang, Weiguang; Qin, Lihua; Zhao, Jing; Zhang, Shuyong; Gu, Jin; Zhou, Changman

2010-01-01

Problem-based learning (PBL) has been introduced to medical schools around the world and has increasingly become a popular pedagogical technique in Asian countries since 1990. Gross anatomy is a fundamental basic science course in virtually all medical training programs, and the methods used to teach it are under frequent scrutiny and revision. Students often struggle with the vast collection of new terms and complex relationships between structures that they must learn. To help students with this process, our department teaches separate systemic and regional anatomy courses, the latter in a PBL format. After three years of using PBL in our regional anatomy course, we have worked out a set of effective instructions that we would like to share with other medical schools. We report here evidence that our clinical PBL approach stimulates students' interest in learning and enhances anatomy education in a way that can foster better practices in our future medical work force. (c) 2010 American Association of Anatomists.

DOE Office of Scientific and Technical Information (OSTI.GOV)

Deka, Deepjyoti; Backhaus, Scott N.; Chertkov, Michael

Limited placement of real-time monitoring devices in the distribution grid, recent trends notwithstanding, has prevented the easy implementation of demand-response and other smart grid applications. Part I of this paper discusses the problem of learning the operational structure of the grid from nodal voltage measurements. In this work (Part II), the learning of the operational radial structure is coupled with the problem of estimating nodal consumption statistics and inferring the line parameters in the grid. Based on a Linear-Coupled(LC) approximation of AC power flows equations, polynomial time algorithms are designed to identify the structure and estimate nodal load characteristics and/ormore » line parameters in the grid using the available nodal voltage measurements. Then the structure learning algorithm is extended to cases with missing data, where available observations are limited to a fraction of the grid nodes. The efficacy of the presented algorithms are demonstrated through simulations on several distribution test cases.« less

Ethical learning on international medical electives: a case-based analysis of medical student learning experiences.

PubMed

Bowsher, Gemma; Parry-Billings, Laura; Georgeson, Anna; Baraitser, Paula

2018-04-11

Students on international medical electives face complex ethical issues when undertaking clinical work. The variety of elective destinations and the culturally specific nature of clinical ethical issues suggest that pre-elective preparation could be supplemented by in-elective support. An online, asynchronous, case-based discussion was piloted to support ethical learning on medical student electives. We developed six scenarios from elective diaries to stimulate peer-facilitated discussions during electives. We evaluated the transcripts to assess whether transformative, experiential learning took place, assessing specifically for indications that 1) critical reflection, 2) reflective action and 3) reflective learning were taking place. We also completed a qualitative thematic content analysis of the discussions. Of forty-one extended comments, nine responses showed evidence of transformative learning (Mezirow stage three). The thematic analysis identified five themes: adopting a position on ethical issues without overt analysis; presenting issues in terms of their effects on students' ability to complete tasks; describing local contexts and colleagues as "other"; difficulty navigating between individual and structural issues, and overestimation of the impact of individual action on structures and processes. Results suggest a need to: frame ethical learning on elective so that it builds on earlier ethical programmes in the curriculum, and encourages students to adopt structured approaches to complex ethical issues including cross-cultural negotiation and to enhance global health training within the curriculum.

A graph-based evolutionary algorithm: Genetic Network Programming (GNP) and its extension using reinforcement learning.

PubMed

Mabu, Shingo; Hirasawa, Kotaro; Hu, Jinglu

2007-01-01

This paper proposes a graph-based evolutionary algorithm called Genetic Network Programming (GNP). Our goal is to develop GNP, which can deal with dynamic environments efficiently and effectively, based on the distinguished expression ability of the graph (network) structure. The characteristics of GNP are as follows. 1) GNP programs are composed of a number of nodes which execute simple judgment/processing, and these nodes are connected by directed links to each other. 2) The graph structure enables GNP to re-use nodes, thus the structure can be very compact. 3) The node transition of GNP is executed according to its node connections without any terminal nodes, thus the past history of the node transition affects the current node to be used and this characteristic works as an implicit memory function. These structural characteristics are useful for dealing with dynamic environments. Furthermore, we propose an extended algorithm, "GNP with Reinforcement Learning (GNPRL)" which combines evolution and reinforcement learning in order to create effective graph structures and obtain better results in dynamic environments. In this paper, we applied GNP to the problem of determining agents' behavior to evaluate its effectiveness. Tileworld was used as the simulation environment. The results show some advantages for GNP over conventional methods.

Towards tailored teaching: using participatory action research to enhance the learning experience of Longitudinal Integrated Clerkship students in a South African rural district hospital.

PubMed

von Pressentin, Klaus B; Waggie, Firdouza; Conradie, Hoffie

2016-03-08

The introduction of Stellenbosch University's Longitudinal Integrated Clerkship (LIC) model as part of the undergraduate medical curriculum offers a unique and exciting training model to develop generalist doctors for the changing South African health landscape. At one of these LIC sites, the need for an improvement of the local learning experience became evident. This paper explores how to identify and implement a tailored teaching and learning intervention to improve workplace-based learning for LIC students. A participatory action research approach was used in a co-operative inquiry group (ten participants), consisting of the students, clinician educators and researchers, who met over a period of 5 months. Through a cyclical process of action and reflection this group identified a teaching intervention. The results demonstrate the gaps and challenges identified when implementing a LIC model of medical education. A structured learning programme for the final 6 weeks of the students' placement at the district hospital was designed by the co-operative inquiry group as an agreed intervention. The post-intervention group reflection highlighted a need to create a structured programme in the spirit of local collaboration and learning across disciplines. The results also enhance our understanding of both students and clinician educators' perceptions of this new model of workplace-based training. This paper provides practical strategies to enhance teaching and learning in a new educational context. These strategies illuminate three paradigm shifts: (1) from the traditional medical education approach towards a transformative learning approach advocated for the 21(st) century health professional; (2) from the teaching hospital context to the district hospital context; and (3) from block-based teaching towards a longitudinal integrated learning model. A programme based on balancing structured and tailored learning activities is recommended in order to address the local learning needs of students in the LIC model. We recommend that action learning sets should be developed at these LIC sites, where the relevant aspects of work-place based learning are negotiated.

Work-Based Learning and Work-Integrated Learning: Fostering Engagement with Employers

ERIC Educational Resources Information Center

Atkinson, Georgina

2016-01-01

Work-based learning and the inclusion of the world of work into tertiary students' learning lie at the heart of the Australian vocational education and training (VET) system. Traditionally this has been through apprenticeships and traineeships, which have a strong focus on "on-the-job" training, but also through "work-oriented"…

Towards a Pedagogy of Work-Based Learning: Perceptions of Work-Based Learning in Foundation Degrees

ERIC Educational Resources Information Center

Burke, Linda; Marks-Maran, Diane J.; Ooms, Ann; Webb, Marion; Cooper, Denise

2009-01-01

One of the features of foundation degrees (FDs) is the incorporation of work-based learning (WBL) into the curriculum. WBL is seen as an important part of vocational programmes and is described by Foundation Degrees Forward (FDF) as a potentially radical approach to connecting work with learning. The Quality Assurance Agency (QAA), in its…

Implementing the Next Generation Science Standards: How Instructional Coaches Mediate Standards-Based Educational Reform to Teacher Practice

NASA Astrophysics Data System (ADS)

Laxton, Katherine E.

This dissertation takes a close look at how district-level instructional coaches support teachers in learning to shifting their instructional practice, related to the Next Generation Science Standards. This dissertation aims to address how re-structuring professional development to a job-embedded coaching model supports individual teacher learning of new reform-related instructional practice. Implementing the NGSS is a problem of supporting professional learning in a way that will enable educators to make fundamental changes to their teaching practice. However, there are few examples in the literature that explain how coaches interact with teachers to improve teacher learning of reform-related instructional practice. There are also few examples in the literature that specifically address how supporting teachers with extended professional learning opportunities, aligned with high-leverage practices, tools and curriculum, impacts how teachers make sense of new standards-based educational reforms and what manifests in classroom instruction. This dissertation proposes four conceptual categories of sense-making that influence how instructional coaches interpret the nature of reform, their roles and in instructional improvement and how to work with teachers. It is important to understand how coaches interpret reform because their interpretations may have unintended consequences related to privileging certain views about instruction, or establishing priorities for how to work with teachers. In this dissertation, we found that re-structuring professional development to a job-embedded coaching model supported teachers in learning new reform-related instructional practice. However, individual teacher interpretations of reform emerged and seemed to be linked to how instructional coaches supported teacher learning.

Learning the Task Management Space of an Aircraft Approach Model

NASA Technical Reports Server (NTRS)

Krall, Joseph; Menzies, Tim; Davies, Misty

2014-01-01

Validating models of airspace operations is a particular challenge. These models are often aimed at finding and exploring safety violations, and aim to be accurate representations of real-world behavior. However, the rules governing the behavior are quite complex: nonlinear physics, operational modes, human behavior, and stochastic environmental concerns all determine the responses of the system. In this paper, we present a study on aircraft runway approaches as modeled in Georgia Tech's Work Models that Compute (WMC) simulation. We use a new learner, Genetic-Active Learning for Search-Based Software Engineering (GALE) to discover the Pareto frontiers defined by cognitive structures. These cognitive structures organize the prioritization and assignment of tasks of each pilot during approaches. We discuss the benefits of our approach, and also discuss future work necessary to enable uncertainty quantification.

Exploring deliberate practice in medicine: how do physicians learn in the workplace?

PubMed

van de Wiel, Margje W J; Van den Bossche, Piet; Janssen, Sandra; Jossberger, Helen

2011-03-01

Medical professionals need to keep on learning as part of their everyday work to deliver high-quality health care. Although the importance of physicians' learning is widely recognized, few studies have investigated how they learn in the workplace. Based on insights from deliberate practice research, this study examined the activities physicians engage in during their work that might further their professional development. As deliberate practice requires a focused effort to improve performance, the study also examined the goals underlying this behaviour. Semi-structured interviews were conducted with 50 internal medicine physicians: 19 residents, 18 internists working at a university hospital, and 13 working at a non-university hospital. The results showed that learning in medical practice was very much embedded in clinical work. Most relevant learning activities were directly related to patient care rather than motivated by competence improvement goals. Advice and feedback were sought when necessary to provide this care. Performance standards were tied to patients' conditions. The patients encountered and the discussions with colleagues about patients were valued most for professional development, while teaching and updating activities were also valued in this respect. In conclusion, physicians' learning is largely guided by practical experience rather than deliberately sought. When professionals interact in diagnosing and treating patients to achieve high-quality care, their experiences contribute to expertise development. However, much could be gained from managing learning opportunities more explicitly. We offer suggestions for increasing the focus on learning in medical practice and further research.

Pedagogical Strategies for Work-Based Learning. IEE Working Paper No. 12.

ERIC Educational Resources Information Center

Hughes, Katherine L.; Moore, David Thornton

Fourteen school-to-work programs characterized by strong work-based learning components and solid employer involvement were examined in a 3-year study to identify pedagogical factors associated with successful work-based learning programs. The main data collection activities were as follows: site visits to the 15 programs to interview faculty,…

Learning cell biology as a team: a project-based approach to upper-division cell biology.

PubMed

Wright, Robin; Boggs, James

2002-01-01

To help students develop successful strategies for learning how to learn and communicate complex information in cell biology, we developed a quarter-long cell biology class based on team projects. Each team researches a particular human disease and presents information about the cellular structure or process affected by the disease, the cellular and molecular biology of the disease, and recent research focused on understanding the cellular mechanisms of the disease process. To support effective teamwork and to help students develop collaboration skills useful for their future careers, we provide training in working in small groups. A final poster presentation, held in a public forum, summarizes what students have learned throughout the quarter. Although student satisfaction with the course is similar to that of standard lecture-based classes, a project-based class offers unique benefits to both the student and the instructor.

Intergenerational Education: Young and Old Learning Together.

ERIC Educational Resources Information Center

Ginnane, Patrick

A compilation of descriptions of 8 intergenerational educational programs, this report emphasizes the positive relationship between children and older people. These programs were selected to highlight differing program components, administrative structures, and funding bases. Two programs involve children visiting nursing homes. Elders work in…

Learning Grasp Context Distinctions that Generalize

NASA Technical Reports Server (NTRS)

Platt, Robert; Grupen, Roderic A.; Fagg, Andrew H.

2006-01-01

Control-based approaches to grasp synthesis create grasping behavior by sequencing and combining control primitives. In the absence of any other structure, these approaches must evaluate a large number of feasible control sequences as a function of object shape, object pose, and task. This work explores a new approach to grasp synthesis that limits consideration to variations on a generalized localize-reach-grasp control policy. A new learning algorithm, known as schema structured learning, is used to learn which instantiations of the generalized policy are most likely to lead to a successful grasp in different problem contexts. Two experiments are described where Dexter, a bimanual upper torso, learns to select an appropriate grasp strategy as a function of object eccentricity and orientation. In addition, it is shown that grasp skills learned in this way can generalize to new objects. Results are presented showing that after learning how to grasp a small, representative set of objects, the robot's performance quantitatively improves for similar objects that it has not experienced before.

Applying Learning Design to Work-Based Learning

ERIC Educational Resources Information Center

Miao, Yongwu; Hoppe, Heinz Ulrich

2011-01-01

Learning design is currently slanted to reflect a course-based approach to learning. This article explores whether the concept of learning design could be applied to support the informal aspects of work-based learning (WBL). It also discusses the characteristics of WBL and presents a WBL-specific learning design that highlights the key features…

Work-based learning in health and social care.

PubMed

Phillips, Sue

This article examines some of the issues encountered in helping to develop and facilitate work-based learning (WBL) in clinical areas from the author's perspective of APEL/WBL co-ordinator. The advantages of work-based learning to both organisations and practitioners are discussed, together with possible drawbacks. The article concludes by identifying the positive aspects, including that of practice development, but suggests caution in attempting to use work-based learning in all circumstances.

Virtual tutorials, Wikipedia books, and multimedia-based teaching for blended learning support in a course on algorithms and data structures

NASA Astrophysics Data System (ADS)

Knackmuß, Jenny; Creutzburg, Reiner

2014-02-01

The aim of this paper is to describe the benefit and support of virtual tutorials, Wikipedia books and multimedia-based teaching in a course on Algorithms and Data Structures. We describe our work and experiences gained from using virtual tutorials held in Netucate iLinc sessions and the use of various multimedia and animation elements for the support of deeper understanding of the ordinary lectures held in the standard classroom on Algorithms and Data Structures for undergraduate computer sciences students. We will describe the benefits, form, style and contents of those virtual tutorials. Furthermore, we mention the advantage of Wikipedia books to support the blended learning process using modern mobile devices. Finally, we give some first statistical measures of improved student's scores after introducing this new form of teaching support.

The operating theatre as classroom: a qualitative study of learning and teaching surgical competencies.

PubMed

Kieu, Violet; Stroud, Leanne; Huang, Paul; Smith, Mitchell; Spychal, Robert; Hunter-Smith, David; Nestel, Debra

2015-01-01

There has been a worldwide movement toward competency-based medical education and training. However, this is the first qualitative study to analyze the perceptions of surgical trainees and surgeons toward competency-based education in the operating theatre. We aim to examine views toward the specific learning and teaching of the nine competencies of the Royal Australasian College of Surgeons (RACS) and to explore perceived ideal conditions and challenges for learning and teaching these competencies in the operating theatre. Individual semi-structured interviews with surgical trainees and surgeons in the specialty of General Surgery. Ten surgical trainees and surgeons who worked together were purposively sampled, for maximum variation, from an outer metropolitan public hospital in Melbourne, Australia, to identify emergent themes relating to learning and teaching surgical competencies in the operating theatre. Five themes were identified as: (1) Learning and teaching specific surgical competencies is through relationship based mentoring and experiential learning; (2) Ideal conditions and challenges in the operating theatre are availability of time and personal attitude; (3) Level of pre-operative briefing was variable; (4) Intra-operative teaching is perceived as structured; and, (5) Post-operative debriefing is recognized as ideal but not consistently performed. Professional relationships are important to both surgical trainees and surgeons in the process of learning and teaching competencies. Ad hoc apprenticeship style learning is perceived to remain prominent in the operating theatre. Sufficient time for training is valued by both groups. The surgical competencies are inherently different to each other. Some appear more difficult to learn and teach in the operating theatre, with technical expertise most readily identified and health advocacy least so. Elements of guided discovery learning and other educational models are described. Further emphasis on structured competency-based teaching methods may be beneficial for surgical trainees, surgeons and other specialties, both in Australia and worldwide.

Neonatal nurses' perceptions of a work-based learning approach.

PubMed

Stanley, Helen; Simmons, Susanne

2011-09-01

To examine how senior neonatal nurses perceive their experience of a continuing professional development module on their practice. A qualitative approach was used. Focus group interviews were held with five senior neonatal nurses at band 6 and 7. Discussions were taped and transcribed verbatim and field notes captured non-verbal communication. Four themes emerged: work-based learning as a new way of learning; barriers to learning at work; professional role development; and complexities of evaluating such learning. Work-based learning emerged as an active form of learning that can develop personal and professional skills required in the neonatal workforce.

Messy Collaboration: Learning from a Learning Study

ERIC Educational Resources Information Center

Adamson, Bob; Walker, Elizabeth

2011-01-01

Messy collaboration refers to complexity, unpredictability and management dilemmas when educators work together. Such messiness was evident in a Hong Kong English Learning Study, a structured cyclical process in which teachers and researcher-participants from a teacher education institution work collaboratively on effective student learning. This…

[Innovative educational technology in the teaching of propaedeutic of internal diseases].

PubMed

Тusupbekova, К; Bakirova, R; Nursultanova, S

2015-03-01

This article presents analysis of the results of inculcation of innovative learning technologies in teaching on propaedeutic of internal diseases which is first clinical discipline faced by medical students of the University. Credit-modular training included integration of propaedeutic of internal diseases with basic disciplines of the third year (the normal anatomy, physiology, pathological anatomy, histology, pathophysiology, visual diagnostics and pharmacology). There are 8 models on following systems: respiratory, cardiovascular, musculoskeletal, endocrine, urogenital, hematopoietic, nervous, digestive. The innovative implementation of learning technologies (Problem-based learning, clinical cases, team-oriented teaching, lectures, symposium lectures, discussions, role plays, etc.) and knowledge control (mini-clinical examination, objective structured clinical exam, comprehensive testing) help students to acquire clinical skills, team working and skills of researching work.

Towards case-based medical learning in radiological decision making using content-based image retrieval

PubMed Central

2011-01-01

Background Radiologists' training is based on intensive practice and can be improved with the use of diagnostic training systems. However, existing systems typically require laboriously prepared training cases and lack integration into the clinical environment with a proper learning scenario. Consequently, diagnostic training systems advancing decision-making skills are not well established in radiological education. Methods We investigated didactic concepts and appraised methods appropriate to the radiology domain, as follows: (i) Adult learning theories stress the importance of work-related practice gained in a team of problem-solvers; (ii) Case-based reasoning (CBR) parallels the human problem-solving process; (iii) Content-based image retrieval (CBIR) can be useful for computer-aided diagnosis (CAD). To overcome the known drawbacks of existing learning systems, we developed the concept of image-based case retrieval for radiological education (IBCR-RE). The IBCR-RE diagnostic training is embedded into a didactic framework based on the Seven Jump approach, which is well established in problem-based learning (PBL). In order to provide a learning environment that is as similar as possible to radiological practice, we have analysed the radiological workflow and environment. Results We mapped the IBCR-RE diagnostic training approach into the Image Retrieval in Medical Applications (IRMA) framework, resulting in the proposed concept of the IRMAdiag training application. IRMAdiag makes use of the modular structure of IRMA and comprises (i) the IRMA core, i.e., the IRMA CBIR engine; and (ii) the IRMAcon viewer. We propose embedding IRMAdiag into hospital information technology (IT) infrastructure using the standard protocols Digital Imaging and Communications in Medicine (DICOM) and Health Level Seven (HL7). Furthermore, we present a case description and a scheme of planned evaluations to comprehensively assess the system. Conclusions The IBCR-RE paradigm incorporates a novel combination of essential aspects of diagnostic learning in radiology: (i) Provision of work-relevant experiences in a training environment integrated into the radiologist's working context; (ii) Up-to-date training cases that do not require cumbersome preparation because they are provided by routinely generated electronic medical records; (iii) Support of the way adults learn while remaining suitable for the patient- and problem-oriented nature of medicine. Future work will address unanswered questions to complete the implementation of the IRMAdiag trainer. PMID:22032775

Towards case-based medical learning in radiological decision making using content-based image retrieval.

PubMed

Welter, Petra; Deserno, Thomas M; Fischer, Benedikt; Günther, Rolf W; Spreckelsen, Cord

2011-10-27

Radiologists' training is based on intensive practice and can be improved with the use of diagnostic training systems. However, existing systems typically require laboriously prepared training cases and lack integration into the clinical environment with a proper learning scenario. Consequently, diagnostic training systems advancing decision-making skills are not well established in radiological education. We investigated didactic concepts and appraised methods appropriate to the radiology domain, as follows: (i) Adult learning theories stress the importance of work-related practice gained in a team of problem-solvers; (ii) Case-based reasoning (CBR) parallels the human problem-solving process; (iii) Content-based image retrieval (CBIR) can be useful for computer-aided diagnosis (CAD). To overcome the known drawbacks of existing learning systems, we developed the concept of image-based case retrieval for radiological education (IBCR-RE). The IBCR-RE diagnostic training is embedded into a didactic framework based on the Seven Jump approach, which is well established in problem-based learning (PBL). In order to provide a learning environment that is as similar as possible to radiological practice, we have analysed the radiological workflow and environment. We mapped the IBCR-RE diagnostic training approach into the Image Retrieval in Medical Applications (IRMA) framework, resulting in the proposed concept of the IRMAdiag training application. IRMAdiag makes use of the modular structure of IRMA and comprises (i) the IRMA core, i.e., the IRMA CBIR engine; and (ii) the IRMAcon viewer. We propose embedding IRMAdiag into hospital information technology (IT) infrastructure using the standard protocols Digital Imaging and Communications in Medicine (DICOM) and Health Level Seven (HL7). Furthermore, we present a case description and a scheme of planned evaluations to comprehensively assess the system. The IBCR-RE paradigm incorporates a novel combination of essential aspects of diagnostic learning in radiology: (i) Provision of work-relevant experiences in a training environment integrated into the radiologist's working context; (ii) Up-to-date training cases that do not require cumbersome preparation because they are provided by routinely generated electronic medical records; (iii) Support of the way adults learn while remaining suitable for the patient- and problem-oriented nature of medicine. Future work will address unanswered questions to complete the implementation of the IRMAdiag trainer.

Work-Based Learning: A New Higher Education?

ERIC Educational Resources Information Center

Boud, David, Ed.; Solomon, Nicky, Ed.

This three-part book contains 16 chapters exploring work-based learning from a theoretical and case-study perspective in the United Kingdom. Part 1, Framing Work-based Learning, contains the following four chapters: "New Practices for New Times" (David Boud, Nicky Solomon, and Colin Symes); "Repositioning Universities and Work"…

Washington State Guide to Planning, Implementing and Improving Work-based Learning. A Guide for Educators at All Levels.

ERIC Educational Resources Information Center

Highline Community Coll., Des Moines, WA.

This guide, which is intended primarily for school and college personnel interested in initiating or improving work-based learning, examines the development and implementation of work-based education programs in Washington. The following topics are discussed: the rationale for work-based learning (legislative and educational change information,…

Employer Involvement in Work-Based Learning Programs.

ERIC Educational Resources Information Center

Bailey, Thomas; Hughes, Katherine

A 3-year research project focused on whether sufficient numbers of employers could be recruited to create a national school-to-work system with a substantial work-based learning component as called for by the 1994 School-to-Work Opportunities Act. Research methods were as follows: case studies of 12 work-based learning programs at 9 sites located…

Nurses' perceptions of personal attributes required when working with people with a learning disability and an offending background: a qualitative study.

PubMed

Lovell, A; Bailey, J

2017-02-01

WHAT IS KNOWN ON THE SUBJECT?: Learning disability nursing in the area of people with a learning disability and an offending background has developed considerably over recent years, particularly since the publication of the Bradley (). There has been limited work into the competencies nurses require to work in this area, and even less about the personal attributes of learning disability nurses. WHAT THIS PAPER ADDS TO EXISTING KNOWLEDGE?: Learning disability nursing's specific contribution to the care of this population lies in their knowledge of the interaction between the learning disability, an individual's, sometimes abusive, personal history and an understanding of the subsequent offending behaviour. The knowledge base of nurses working with people with learning disabilities and an offending background needs to reflect the changing service user group. This is particularly in relation to substance misuse, borderline personality disorder, and mental health and the way such factors inter-relate with the learning disability. WHAT ARE THE IMPLICATIONS FOR PRACTICE?: Further research is required into the relationship among decision making, risk taking or reluctance to do this, and the personal attributes required by nurses to work in secure learning disability care. Learning disability secure services are likely to continue to undergo change as circumstances alter and the offending population demonstrate greater complexity; nursing competencies and personal attributes need similarly to adapt to such changes. Mental health nursing has a great deal to contribute to effective working with this population, specifically with regard to developing strong relationships when concerns around borderline personality disorder or substance misuse are particularly in evidence. Aim To identify and discuss the personal attributes required by learning disability nurses to work effectively with people with an offending background in secure and community settings. Background This study was part of a larger research investigation into the nursing competencies required to work with people with an offending background. There are few existing studies examining the personal attributes necessary for working with this group. Design A qualitative study addressing the perceptions of nurses around the personal attributes required to work with people with learning disabilities and an offending background. Methods A semi-structured interview schedule was devised and constructed, and 39 individual interviews were subsequently undertaken with learning disability nurses working in high, medium, low secure and community settings. Data were collected over 1 year in 2010/11 and analysed using a structured thematic analysis supported by the software package MAXqda. Findings The thematic analysis produced three categories of personal attributes, named as looking deeper, achieving balance and connecting, each of which contained a further three sub-categories. Conclusion Nursing of those with a learning disability and an offending background continues to develop. The interplay among personal history, additional background factors, nurses' personal attributes and learning disability is critical for effective relationship building. © 2016 John Wiley & Sons Ltd.

Experiences of nursing home staff using the targeted interdisciplinary model for evaluation and treatment of neuropsychiatric symptoms (TIME) - a qualitative study.

PubMed

Lichtwarck, Bjørn; Myhre, Janne; Goyal, Alka R; Rokstad, Anne Marie Mork; Selbaek, Geir; Kirkevold, Øyvind; Bergh, Sverre

2018-04-19

Neuropsychiatric symptoms (NPS) in dementia pose great challenges for residents and staff in nursing homes. The Targeted Interdisciplinary Model for Evaluation and Treatment of Neuropsychiatric Symptoms (TIME) has recently in a randomized controlled trial demonstrated reductions in NPS. We explored the participating staff's experiences with the model and how it meets the challenges when dealing with the complexity of NPS. Three to six months after the end of the intervention, we interviewed 32 of the caregivers, leaders, and physicians participating in the trial, in five focus groups. We used thematic content analysis. The analysis yielded two main themes: (1) a systematic reflection method enhanced learning at work; (2) the structure of the approach helped staff to cope with NPS in residents with dementia. TIME shifts the way of learning for the staff from a traditional to a more innovative and reflection-based learning through a process of learning how to learn at work. The staff's experienced increased coping in their approach to complex problems. Our results emphasise the importance of a structured and biopsychosocial approach to NPS in clinical practice. Future research should explore models for integrating situated learning in daily routines in nursing homes.

Describing content in middle school science curricula

NASA Astrophysics Data System (ADS)

Schwarz-Ballard, Jennifer A.

As researchers and designers, we intuitively recognize differences between curricula and describe them in terms of design strategy: project-based, laboratory-based, modular, traditional, and textbook, among others. We assume that practitioners recognize the differences in how each requires that students use knowledge, however these intuitive differences have not been captured or systematically described by the existing languages for describing learning goals. In this dissertation I argue that we need new ways of capturing relationships among elements of content, and propose a theory that describes some of the important differences in how students reason in differently designed curricula and activities. Educational researchers and curriculum designers have taken a variety of approaches to laying out learning goals for science. Through an analysis of existing descriptions of learning goals I argue that to describe differences in the understanding students come away with, they need to (1) be specific about the form of knowledge, (2) incorporate both the processes through which knowledge is used and its form, and (3) capture content development across a curriculum. To show the value of inquiry curricula, learning goals need to incorporate distinctions among the variety of ways we ask students to use knowledge. Here I propose the Epistemic Structures Framework as one way to describe differences in students reasoning that are not captured by existing descriptions of learning goals. The usefulness of the Epistemic Structures framework is demonstrated in the four curriculum case study examples in Part II of this work. The curricula in the case studies represent a range of content coverage, curriculum structure, and design rationale. They serve both to illustrate the Epistemic Structures analysis process and make the case that it does in fact describe learning goals in a way that captures important differences in students reasoning in differently designed curricula. Describing learning goals in terms of Epistemic Structures provides one way to define what we mean when we talk about "project-based" curricula and demonstrate its "value added" to educators, administrators and policy makers.

Instituting systems-based practice and practice-based learning and improvement: a curriculum of inquiry

PubMed Central

Wilper, Andrew P.; Smith, Curtis Scott; Weppner, William

2013-01-01

Background The Accreditation Council for Graduate Medical Education (ACGME) requires that training programs integrate system-based practice (SBP) and practice-based learning and improvement (PBLI) into internal medicine residency curricula. Context and setting We instituted a seminar series and year-long-mentored curriculum designed to engage internal medicine residents in these competencies. Methods Residents participate in a seminar series that includes assigned reading and structured discussion with faculty who assist in the development of quality improvement or research projects. Residents pursue projects over the remainder of the year. Monthly works in progress meetings, protected time for inquiry, and continued faculty mentorship guide the residents in their project development. Trainees present their work at hospital-wide grand rounds at the end of the academic year. We performed a survey of residents to assess their self-reported knowledge, attitudes and skills in SBP and PBLI. In addition, blinded faculty scored projects for appropriateness, impact, and feasibility. Outcomes We measured resident self-reported knowledge, attitudes, and skills at the end of the academic year. We found evidence that participants improved their understanding of the context in which they were practicing, and that their ability to engage in quality improvement projects increased. Blinded faculty reviewers favorably ranked the projects’ feasibility, impact, and appropriateness. The ‘Curriculum of Inquiry’ generated 11 quality improvement and research projects during the study period. Barriers to the ongoing work include a limited supply of mentors and delays due to Institutional Review Board approval. Hospital leadership recognizes the importance of the curriculum, and our accreditation manager now cites our ongoing work. Conclusions A structured residency-based curriculum facilitates resident demonstration of SBP and practice-based learning and improvement. Residents gain knowledge and skills though this enterprise and hospitals gain access to trainees who help to solve ongoing problems and meet accreditation requirements. PMID:24044686

Instituting systems-based practice and practice-based learning and improvement: a curriculum of inquiry.

PubMed

Wilper, Andrew P; Smith, Curtis Scott; Weppner, William

2013-01-01

Background The Accreditation Council for Graduate Medical Education (ACGME) requires that training programs integrate system-based practice (SBP) and practice-based learning and improvement (PBLI) into internal medicine residency curricula. Context and setting We instituted a seminar series and year-long-mentored curriculum designed to engage internal medicine residents in these competencies. Methods Residents participate in a seminar series that includes assigned reading and structured discussion with faculty who assist in the development of quality improvement or research projects. Residents pursue projects over the remainder of the year. Monthly works in progress meetings, protected time for inquiry, and continued faculty mentorship guide the residents in their project development. Trainees present their work at hospital-wide grand rounds at the end of the academic year. We performed a survey of residents to assess their self-reported knowledge, attitudes and skills in SBP and PBLI. In addition, blinded faculty scored projects for appropriateness, impact, and feasibility. Outcomes We measured resident self-reported knowledge, attitudes, and skills at the end of the academic year. We found evidence that participants improved their understanding of the context in which they were practicing, and that their ability to engage in quality improvement projects increased. Blinded faculty reviewers favorably ranked the projects' feasibility, impact, and appropriateness. The 'Curriculum of Inquiry' generated 11 quality improvement and research projects during the study period. Barriers to the ongoing work include a limited supply of mentors and delays due to Institutional Review Board approval. Hospital leadership recognizes the importance of the curriculum, and our accreditation manager now cites our ongoing work. Conclusions A structured residency-based curriculum facilitates resident demonstration of SBP and practice-based learning and improvement. Residents gain knowledge and skills though this enterprise and hospitals gain access to trainees who help to solve ongoing problems and meet accreditation requirements.

Pedagogy of Work-Based Learning: The Role of the Learning Group

ERIC Educational Resources Information Center

Siebert, Sabina; Mills, Vince; Tuff, Caroline

2009-01-01

Purpose: The aim of this paper is to evaluate the role of learning from participation in a group of work-based learners. Design/methodology/approach: This study relies on qualitative data obtained from a survey of perspectives of students on two work-based learning programmes. A group of 16 undergraduate and seven postgraduate students…

Illinois Work-Based Learning Programs: Worksite Mentor Knowledge and Training

ERIC Educational Resources Information Center

Chadd, Julie; Anderson, Marcia A.

2005-01-01

Teacher-coordinators and worksite mentors of high school work-based learning programs throughout Illinois were the subjects of this study which described worksite mentors' knowledge of teaching work skills to students participating in work-based learning programs and the nature of the training provided to these worksite mentors. There were no…

Work-Based Learning, Identity and Organisational Culture

ERIC Educational Resources Information Center

Ahlgren, Linda; Tett, Lyn

2010-01-01

This paper discusses the ways in which employers view the contribution of work-based learning, how participating learners' experience the provision offered to them and how far work-based programmes can contribute to changing the discourse about learning from one of deficit to one of strengths. It draws on two complementary studies of work based…

Inequality and Opportunity in Work-Based Learning

ERIC Educational Resources Information Center

Reilly, Michael Chavez

2014-01-01

Work-based learning in college--in the form of internships, cooperative education programs, and apprenticeships--sit at the crossroads of education and employment. It can play a crucial role in shaping a student's transition from school to work. This study explores the extent to which college students participate in work-based learning and the…

Reducing Sweeping Frequencies in Microwave NDT Employing Machine Learning Feature Selection

PubMed Central

Moomen, Abdelniser; Ali, Abdulbaset; Ramahi, Omar M.

2016-01-01

Nondestructive Testing (NDT) assessment of materials’ health condition is useful for classifying healthy from unhealthy structures or detecting flaws in metallic or dielectric structures. Performing structural health testing for coated/uncoated metallic or dielectric materials with the same testing equipment requires a testing method that can work on metallics and dielectrics such as microwave testing. Reducing complexity and expenses associated with current diagnostic practices of microwave NDT of structural health requires an effective and intelligent approach based on feature selection and classification techniques of machine learning. Current microwave NDT methods in general based on measuring variation in the S-matrix over the entire operating frequency ranges of the sensors. For instance, assessing the health of metallic structures using a microwave sensor depends on the reflection or/and transmission coefficient measurements as a function of the sweeping frequencies of the operating band. The aim of this work is reducing sweeping frequencies using machine learning feature selection techniques. By treating sweeping frequencies as features, the number of top important features can be identified, then only the most influential features (frequencies) are considered when building the microwave NDT equipment. The proposed method of reducing sweeping frequencies was validated experimentally using a waveguide sensor and a metallic plate with different cracks. Among the investigated feature selection techniques are information gain, gain ratio, relief, chi-squared. The effectiveness of the selected features were validated through performance evaluations of various classification models; namely, Nearest Neighbor, Neural Networks, Random Forest, and Support Vector Machine. Results showed good crack classification accuracy rates after employing feature selection algorithms. PMID:27104533

Involvement of Working Memory in College Students' Sequential Pattern Learning and Performance

ERIC Educational Resources Information Center

Kundey, Shannon M. A.; De Los Reyes, Andres; Rowan, James D.; Lee, Bern; Delise, Justin; Molina, Sabrina; Cogdill, Lindsay

2013-01-01

When learning highly organized sequential patterns of information, humans and nonhuman animals learn rules regarding the hierarchical structures of these sequences. In three experiments, we explored the role of working memory in college students' sequential pattern learning and performance in a computerized task involving a sequential…

Experimental Learning Enhancing Improvisation Skills

ERIC Educational Resources Information Center

Pereira Christopoulos, Tania; Wilner, Adriana; Trindade Bestetti, Maria Luisa

2016-01-01

Purpose: This study aims to present improvisation training and experimentation as an alternative method to deal with unexpected events in which structured processes do not seem to work. Design/Methodology/Approach: Based on the literature of sensemaking and improvisation, the study designs a framework and process model of experimental learning…

Power Tools for Talking: Custom Protocols Enrich Coaching Conversations

ERIC Educational Resources Information Center

Pomerantz, Francesca; Ippolito, Jacy

2015-01-01

Discussion-based protocols--an "agreed upon set of discussion or observation rules that guide coach/teacher/student work, discussion, and interactions" (Ippolito & Lieberman, 2012, p. 79)--can help focus and structure productive professional learning discussions. However, while protocols are slowly growing into essential elements of…

Probability density function learning by unsupervised neurons.

PubMed

Fiori, S

2001-10-01

In a recent work, we introduced the concept of pseudo-polynomial adaptive activation function neuron (FAN) and presented an unsupervised information-theoretic learning theory for such structure. The learning model is based on entropy optimization and provides a way of learning probability distributions from incomplete data. The aim of the present paper is to illustrate some theoretical features of the FAN neuron, to extend its learning theory to asymmetrical density function approximation, and to provide an analytical and numerical comparison with other known density function estimation methods, with special emphasis to the universal approximation ability. The paper also provides a survey of PDF learning from incomplete data, as well as results of several experiments performed on real-world problems and signals.

Learning Organisations: A Literature Review and Critique

DTIC Science & Technology

2014-01-01

autocratic, laissez - faire and democratic work-group principles attributed to Lewin, provided evidence that people would learn and self-manage in an...each with their own particular emphasis on learning, leadership behaviours and organisational structure. A Learning Organisation’s salient...the organisational and structural factors that affect learning. These include the importance specific leadership actions or practices, the utility of

A Project Focusing on Superintendents' Knowledge of Evidence-Based Practices of Structuring Time for Student Learning

ERIC Educational Resources Information Center

Lewis, Jared R.

2016-01-01

This report describes a problem based learning project focusing on superintendents' knowledge of evidence-based practices of structuring time for student learning. Current research findings offer evidence that structuring time for student learning is an important factor in student achievement. School district superintendents are challenged with…

Linking College and Work: Exemplary Policies and Practices of Two-Year College Work-Based Learning Programs.

ERIC Educational Resources Information Center

Bragg, Debra D.; Hamm, Russell E.

Based on an initial phase of a study conducted in 1993 that surveyed 1,200 two-year colleges to describe the scope and character of work-based learning programs already in existence, phase 2 sought a more in-depth understanding of selected exemplary work-based learning programs. Ten programs in eight two-year colleges were identified for further…

Students' Perceptions of Terrascope, A Project-Based Freshman Learning Community

NASA Astrophysics Data System (ADS)

Lipson, Alberta; Epstein, Ari W.; Bras, Rafael; Hodges, Kip

2007-08-01

We present a descriptive case study of Terrascope, an innovative, year-long, project-based learning community at MIT. Each year, Terrascope students study a particular environmental or Earth-system problem from a multidisciplinary perspective. Terrascope includes both academic and non-academic components; this paper focuses on the academic components. The objectives of the academic subjects, and of the program as a whole, involve helping students develop their team-building, communication, problem-solving, and self-regulatory learning skills. This study focuses on cohorts of students from the first and second years of the program (2002-2003 and 2003-2004); it is based on end-of-semester surveys and focus groups, and on additional focus groups conducted when these students were upperclassmen. Students felt Terrascope helped them make significant improvements in their ability to work in teams and to take on complex, multidisciplinary problems. They felt that the program's two-semester structure gave them an opportunity to develop and nurture these skills, and that the program prepared them well for their later work at MIT. They also felt that being engaged, as freshmen, in a distinct learning community, significantly eased their transition into MIT. We describe lessons learned in the development of Terrascope and offer suggestions for other institutions planning to develop similar programs.

Design and Evaluation of a Microprocessor Course Combining Three Cooperative Methods: SDLA, PjBL and CnBL

ERIC Educational Resources Information Center

Alorda, B.; Suenaga, K.; Pons, P.

2011-01-01

This paper reports on the design, implementation and assessment of a new approach course structure based on the combination of three cooperative methodologies. The main goal is to reduce the percentage of non-passed students focusing the learning process on students by offering different alternatives and motivational activities based on working in…

An Inquiry-Based Biochemistry Laboratory Structure Emphasizing Competency in the Scientific Process: A Guided Approach with an Electronic Notebook Format

ERIC Educational Resources Information Center

Hall, Mona L.; Vardar-Ulu, Didem

2014-01-01

The laboratory setting is an exciting and gratifying place to teach because you can actively engage the students in the learning process through hands-on activities; it is a dynamic environment amenable to collaborative work, critical thinking, problem-solving and discovery. The guided inquiry-based approach described here guides the students…

Integrating Field-Centered, Project Based Activities with Academic Year Coursework: A Curriculum Wide Approach

NASA Astrophysics Data System (ADS)

Kelso, P. R.; Brown, L. M.

2015-12-01

Based upon constructivist principles and the recognition that many students are motivated by hands-on activities and field experiences, we designed a new undergraduate curriculum at Lake Superior State University. One of our major goals was to develop stand-alone field projects in most of the academic year courses. Examples of courses impacted include structural geology, geophysics, and geotectonics, Students learn geophysical concepts in the context of near surface field-based geophysical studies while students in structural geology learn about structural processes through outcrop study of fractures, folds and faults. In geotectonics students learn about collisional and rifting processes through on-site field studies of specific geologic provinces. Another goal was to integrate data and samples collected by students in our sophomore level introductory field course along with stand-alone field projects in our clastic systems and sequence stratigraphy courses. Our emphasis on active learning helps students develop a meaningful geoscience knowledge base and complex reasoning skills in authentic contexts. We simulate the activities of practicing geoscientists by engaging students in all aspects of a project, for example: field-oriented project planning and design; acquiring, analyzing, and interpreting data; incorporating supplemental material and background data; and preparing oral and written project reports. We find through anecdotal evidence including student comments and personal observation that the projects stimulate interest, provide motivation for learning new concepts, integrate skill and concept acquisition vertically through the curriculum, apply concepts from multiple geoscience subdisiplines, and develop soft skills such as team work, problem solving, critical thinking and communication skills. Through this projected-centered Lake Superior State University geology curriculum students practice our motto of "learn geology by doing geology."

Learning in Smaller Companies. Final Report.

ERIC Educational Resources Information Center

Seagraves, Liz; Osborne, Mike; Neal, Peter; Dockrell, Richard; Hartshorn, Christina; Boyd, Alison

The Learning in Smaller Companies (LISC) project was undertaken to develop links between academic institutions and work-based learning in Scotland. The University of Stirling worked with Falkirk College and Clackmannan College to create a number of work-based learning schemes for employers in small and medium-sized enterprises. The programs were…

Working and Providing Care: Increasing Student Engagement for Part-Time Community College Students

ERIC Educational Resources Information Center

Leingang, Daniel James

2017-01-01

The purpose of this study was to examine the relationship among external time obligations of work and care giving by part-time students, their participation within structured group learning experiences, and student engagement. The Structured Group Learning Experiences (SGLEs) explored within this study include community college programming…

Relationship between Professional Learning Community, Bureaucratic Structure and Organisational Trust in Primary Education Schools

ERIC Educational Resources Information Center

Kalkan, Fatma

2016-01-01

This research uses relational survey method to determine the relationship between professional learning community, bureaucratic structure and organisational trust according to the perceptions of teachers who work in primary education schools. Data were collected from 805 teachers who work in primary education schools in the districts (Altindag,…

Work-based learning: challenges and opportunities.

PubMed

Gallagher, Ann; Holland, Lesley

This article discusses some of the challenges and opportunities arising from the development and implementation of an innovative work-based open and distance learning programme available exclusively to healthcare assistants working in general health and mental health practice. The programme is based on a partnership between the sponsoring organisation and the Open University. The focus is on the development of standards of proficiency, service user involvement, partnership working, skills development and the pedagogic implications of a work-based learning format.

Why do I need to know this? Optics/photonics problem-based learning in the math classroom

NASA Astrophysics Data System (ADS)

Donnelly, Matthew J.; Donnelly, Judith F.; Donnelly, Stephanie

2017-08-01

A common complaint of engineering managers is that new employees at all levels, technician through engineer, tend to have rote calculation ability but are unable to think critically and use structured problem solving techniques to apply mathematical concepts. Further, they often have poor written and oral communication skills and difficulty working in teams. Ironically, a common question of high school mathematics students is "Why do I need to know this?" In this paper we describe a project using optics/photonics and Problem Based Learning (PBL) to address these issues in a high school calculus classroom.

Structural Synaptic Plasticity Has High Memory Capacity and Can Explain Graded Amnesia, Catastrophic Forgetting, and the Spacing Effect

PubMed Central

Knoblauch, Andreas; Körner, Edgar; Körner, Ursula; Sommer, Friedrich T.

2014-01-01

Although already William James and, more explicitly, Donald Hebb's theory of cell assemblies have suggested that activity-dependent rewiring of neuronal networks is the substrate of learning and memory, over the last six decades most theoretical work on memory has focused on plasticity of existing synapses in prewired networks. Research in the last decade has emphasized that structural modification of synaptic connectivity is common in the adult brain and tightly correlated with learning and memory. Here we present a parsimonious computational model for learning by structural plasticity. The basic modeling units are “potential synapses” defined as locations in the network where synapses can potentially grow to connect two neurons. This model generalizes well-known previous models for associative learning based on weight plasticity. Therefore, existing theory can be applied to analyze how many memories and how much information structural plasticity can store in a synapse. Surprisingly, we find that structural plasticity largely outperforms weight plasticity and can achieve a much higher storage capacity per synapse. The effect of structural plasticity on the structure of sparsely connected networks is quite intuitive: Structural plasticity increases the “effectual network connectivity”, that is, the network wiring that specifically supports storage and recall of the memories. Further, this model of structural plasticity produces gradients of effectual connectivity in the course of learning, thereby explaining various cognitive phenomena including graded amnesia, catastrophic forgetting, and the spacing effect. PMID:24858841

Active Learning Strategies for Introductory Light and Optics

NASA Astrophysics Data System (ADS)

Sokoloff, David R.

2016-01-01

There is considerable evidence that traditional approaches are ineffective in teaching physics concepts, including light and optics concepts. A major focus of the work of the Activity Based Physics Group has been on the development of active learning curricula like RealTime Physics (RTP) labs and Interactive Lecture Demonstrations (ILDs). Among the characteristics of these curricula are: (1) use of a learning cycle in which students are challenged to compare predictions—discussed with their peers in small groups—to observations of the physical world, (2) use of guided hands-on work to construct basic concepts from observations, and (3) use of computer-based tools. It has been possible to change the lecture and laboratory learning environments at a large number of universities, colleges, and high schools without changing the structure of the introductory course. For example, in the United States, nearly 200 physics departments have adopted RTP, and many others use pre-publication, open-source versions or have adopted the RTP approach to develop their own labs. Examples from RTP and ILDs (including optics magic tricks) are described in this paper.

Work, Train, Win: Work-Based Learning Design and Management for Productivity Gains. OECD Education Working Papers, No. 135

ERIC Educational Resources Information Center

Kis, Viktoria

2016-01-01

Realising the potential of work-based learning schemes as a driver of productivity requires careful design and support. The length of work-based learning schemes should be adapted to the profile of productivity gains. A scheme that is too long for a given skill set might be unattractive for learners and waste public resources, but a scheme that is…

Work-Based Learning and Social Justice: "Learning to Labour" and the New Vocationalism in England

ERIC Educational Resources Information Center

Avis, James

2004-01-01

The article explores work-based learning in the context of current changes taking place in vocational education and training in England. It seeks to locate these within an understanding of the economy and the way in which work-based knowledge is construed. The article analyses these issues, drawing upon a literature that examines the work-based…

Performance Evaluation of an Online Argumentation Learning Assistance Agent

ERIC Educational Resources Information Center

Huang, Chenn-Jung; Wang, Yu-Wu; Huang, Tz-Hau; Chen, Ying-Chen; Chen, Heng-Ming; Chang, Shun-Chih

2011-01-01

Recent research indicated that students' ability to construct evidence-based explanations in classrooms through scientific inquiry is critical to successful science education. Structured argumentation support environments have been built and used in scientific discourse in the literature. To the best of our knowledge, no research work in the…

Developing a Qualifications Structure for the Finance Services Industry in Malaysia and Beyond

ERIC Educational Resources Information Center

Manshor, Amat Taap; Chong, Siong Choy; Cameron, Roslyn

2014-01-01

The development of qualifications systems and frameworks assists in promoting lifelong learning and work-based recognition systems. Several nations in the Asian Pacific region have established national qualifications frameworks across their respective educational sectors (e.g., Australia, New Zealand, Hong Kong, Malaysia and the Philippines),…

Group Investigation: Structuring an Inquiry-Based Curriculum.

ERIC Educational Resources Information Center

Huhtala, Jack

Group investigation is an organizational approach that allows a class to work actively and collaboratively in small groups and enables students to take an active role in determining their own learning goals and processes. As part of reform and restructuring efforts, Beaverton High School (Oregon) implemented the Group Investigation model with…

Lewin's Impact on Education: Instilling Cooperation and Conflict Management Skills in School Children.

ERIC Educational Resources Information Center

Maruyama, Geoffrey

1992-01-01

A Lewinian orientation to educational problems fits current innovative thinking in education (e.g., models for making education multicultural), and provides the bases of important applied work on cooperative learning techniques and constructive ways of structuring conflict within educational settings. Lewinian field theory provides a broad…

High School Students' Epistemological Beliefs, Conceptions of Learning, and Self-Efficacy for Learning Biology: A Study of Their Structural Models

ERIC Educational Resources Information Center

Sadi, Özlem; Dagyar, Miray

2015-01-01

The current work reveals the data of the study which examines the relationships among epistemological beliefs, conceptions of learning, and self-efficacy for biology learning with the help of the Structural Equation Modeling. Three questionnaires, the Epistemological Beliefs, the Conceptions of Learning Biology and the Self-efficacy for Learning…

The Greek Challenge in Work-Based Learning

ERIC Educational Resources Information Center

Taousanidis, Nikolaos I.; Antoniadou, Myrofora A.

2008-01-01

Work-based learning is generated, controlled and used within a community of practice and brings new understanding to pedagogical principles as the role of worker becomes also that of learner. This paper presents a series of opportunities of this type of learning, which even enables students to work at a distance, using open-learning techniques, as…

Understanding the Convolutional Neural Networks with Gradient Descent and Backpropagation

NASA Astrophysics Data System (ADS)

Zhou, XueFei

2018-04-01

With the development of computer technology, the applications of machine learning are more and more extensive. And machine learning is providing endless opportunities to develop new applications. One of those applications is image recognition by using Convolutional Neural Networks (CNNs). CNN is one of the most common algorithms in image recognition. It is significant to understand its theory and structure for every scholar who is interested in this field. CNN is mainly used in computer identification, especially in voice, text recognition and other aspects of the application. It utilizes hierarchical structure with different layers to accelerate computing speed. In addition, the greatest features of CNNs are the weight sharing and dimension reduction. And all of these consolidate the high effectiveness and efficiency of CNNs with idea computing speed and error rate. With the help of other learning altruisms, CNNs could be used in several scenarios for machine learning, especially for deep learning. Based on the general introduction to the background and the core solution CNN, this paper is going to focus on summarizing how Gradient Descent and Backpropagation work, and how they contribute to the high performances of CNNs. Also, some practical applications will be discussed in the following parts. The last section exhibits the conclusion and some perspectives of future work.

A work-based learning approach for clinical support workers on mental health inpatient wards.

PubMed

Kemp, Philip; Gilding, Moorene; Seewooruttun, Khooseal; Walsh, Hannah

2016-09-14

Background With a rise in the number of unqualified staff providing health and social care, and reports raising concerns about the quality of care provided, there is a need to address the learning needs of clinical support workers. This article describes a qualitative evaluation of a service improvement project that involved a work-based learning approach for clinical support workers on mental health inpatient wards. Aim To investigate and identify insights in relation to the content and process of learning using a work-based learning approach for clinical support workers. Method This was a qualitative evaluation of a service improvement project involving 25 clinical support workers at the seven mental health inpatient units in South London and Maudsley NHS Foundation Trust. Three clinical skills tutors were appointed to develop, implement and evaluate the work-based learning approach. Four sources of data were used to evaluate this approach, including reflective journals, qualitative responses to questionnaires, three focus groups involving the clinical support workers and a group interview involving the clinical skills tutors. Data were analysed using thematic analysis. Findings The work-based learning approach was highly valued by the clinical support workers and enhanced learning in practice. Face-to-face learning in practice helped the clinical support workers to develop practice skills and reflective learning skills. Insights relating to the role of clinical support workers were also identified, including the benefits of face-to-face supervision in practice, particularly in relation to the interpersonal aspects of care. Conclusion A work-based learning approach has the potential to enhance care delivery by meeting the learning needs of clinical support workers and enabling them to apply learning to practice. Care providers should consider how the work-based learning approach can be used on a systematic, organisation-wide basis in the context of budgetary restrictions.

[Learning about social determinants of health through chronicles, using a virtual learning environment].

PubMed

Restrepo-Palacio, Sonia; Amaya-Guio, Jairo

2016-01-01

To describe the contributions of a pedagogical strategy based on the construction of chronicles, using a Virtual Learning Environment for training medical students from Universidad de La Sabana on social determinants of health. Descriptive study with a qualitative approach. Design and implementation of a Virtual Learning Environment based on the ADDIE instructional model. A Virtual Learning Environment was implemented with an instructional design based on the five phases of the ADDIE model, on the grounds of meaningful learning and social constructivism, and through the narration of chronicles or life stories as a pedagogical strategy. During the course, the structural determinants and intermediaries were addressed, and nine chronicles were produced by working groups made up of four or five students, who demonstrated meaningful learning from real life stories, presented a coherent sequence, and kept a thread; 82% of these students incorporated in their contents most of the social determinants of health, emphasizing on the concepts of equity or inequity, equality or inequality, justice or injustice and social cohesion. A Virtual Learning Environment, based on an appropriate instructional design, allows to facilitate learning of social determinants of health through a constructivist pedagogical approach by analyzing chronicles or life stories created by ninth-semester students of medicine from Universidad de La Sabana.

"The Eye of the Cyclone" - Teaching Natural Hazards in Schools by Using M-Learning and Augmented Reality Techniques

NASA Astrophysics Data System (ADS)

Ortwein, Annette; Schultz, Johannes; Rienow, Andreas

2017-04-01

Earth observation from space enables scientists and decision makers to forecast and react on the impacts of tropical storms. The project "Columbus Eye - Live-Imagery from the ISS in School Lessons" teaches pupils the implications of the coupled human-environment systems by applying remote sensing and digital image processing. Recently, Columbus Eye launched its first Android App featuring ISS videos. Generating a smartphone-based learning environment for working with ISS imagery introduces m-learning to the classrooms. The learning unit "The Eye of the Cyclone" addresses the formation and path of Philippine typhoon Maysak by using a multi-media approach. Based on a traditional work sheet, the diagrams of typhoon Maysak come alive when viewed through the smartphone's camera. A diagram of the typhoon's secret interior mechanics turns into a video of typhoon Maysak as seen from the ISS on 31st of March 2015, holding additional information on its unique specifications. The second diagram of air masses suddenly moves and shows the path of typhoon Maysak over time. But before those interactive parts are explored, the background information is presented in the work sheet by means of written scientific learning materials, including information on the occurrence, formation and inner structure of typhoons. Thus, fostering the reading competence, the pupils' understanding on the topic is assessed by several tasks on the work sheet's final page. The oral presentation explains how the haptic experience of writing the solutions on a sheet of paper makes the knowledge paperbound and "real", literally lifting pens & papers into space. In the light of the Copernicus services, it will be explained how Sentinel-based teaching units can be developed in order to communicating the knowledge and the handling of natural hazards in times of global change.

Reward-Guided Learning with and without Causal Attribution

PubMed Central

Jocham, Gerhard; Brodersen, Kay H.; Constantinescu, Alexandra O.; Kahn, Martin C.; Ianni, Angela M.; Walton, Mark E.; Rushworth, Matthew F.S.; Behrens, Timothy E.J.

2016-01-01

Summary When an organism receives a reward, it is crucial to know which of many candidate actions caused this reward. However, recent work suggests that learning is possible even when this most fundamental assumption is not met. We used novel reward-guided learning paradigms in two fMRI studies to show that humans deploy separable learning mechanisms that operate in parallel. While behavior was dominated by precise contingent learning, it also revealed hallmarks of noncontingent learning strategies. These learning mechanisms were separable behaviorally and neurally. Lateral orbitofrontal cortex supported contingent learning and reflected contingencies between outcomes and their causal choices. Amygdala responses around reward times related to statistical patterns of learning. Time-based heuristic mechanisms were related to activity in sensorimotor corticostriatal circuitry. Our data point to the existence of several learning mechanisms in the human brain, of which only one relies on applying known rules about the causal structure of the task. PMID:26971947

20 CFR 670.520 - Are students permitted to hold jobs other than work-based learning opportunities?

Code of Federal Regulations, 2012 CFR

2012-04-01

... 20 Employees' Benefits 4 2012-04-01 2012-04-01 false Are students permitted to hold jobs other than work-based learning opportunities? 670.520 Section 670.520 Employees' Benefits EMPLOYMENT AND... than work-based learning opportunities? Yes, a center operator may authorize a student to participate...

20 CFR 670.520 - Are students permitted to hold jobs other than work-based learning opportunities?

Code of Federal Regulations, 2013 CFR

2013-04-01

... 20 Employees' Benefits 4 2013-04-01 2013-04-01 false Are students permitted to hold jobs other than work-based learning opportunities? 670.520 Section 670.520 Employees' Benefits EMPLOYMENT AND... than work-based learning opportunities? Yes, a center operator may authorize a student to participate...

20 CFR 670.520 - Are students permitted to hold jobs other than work-based learning opportunities?

Code of Federal Regulations, 2014 CFR

2014-04-01

... 20 Employees' Benefits 4 2014-04-01 2014-04-01 false Are students permitted to hold jobs other than work-based learning opportunities? 670.520 Section 670.520 Employees' Benefits EMPLOYMENT AND... than work-based learning opportunities? Yes, a center operator may authorize a student to participate...

Statewide Work-Based Learning Intermediary Network: Fiscal Year 2014 Report

ERIC Educational Resources Information Center

Iowa Department of Education, 2014

2014-01-01

The Statewide Work-based Learning Intermediary Network Fiscal Year 2014 Report summarizes fiscal year 2014 (FY14) work-based learning activities of the 15 regional intermediary networks. This report includes activities which occurred between October 1, 2013, to June 30, 2014. It is notable that some intermediary regional networks have been in…

Florida's Work-Based Learning and Child Labor Law. Resource Guide.

ERIC Educational Resources Information Center

Florida State Univ., Tallahassee. School-to-Work Clearinghouse.

This guide was developed to address issues related to work-based learning experiences at an employer's worksite and to explain when and how federal and state (Florida) labor laws and minimum wage provisions apply. It includes the following documents: "Definitions of Terms--Work Based Learning" (Institute for Workforce Competitiveness);…

Structured and Unstructured Learning.

ERIC Educational Resources Information Center

1996

This document contains four papers presented at a sympoisum on structured and unstructured learning moderated by Catherine Sleezer at the 1996 conference of the Academy of Human Resource Development (AHRD). "Designing Experiential Learning into Organizational Work Life: Proposing a Framework for Theory and Research" (Cheri Maben-Crouch)…

From the Reality of Work to Grounded Work-Based Learning in German Vocational Education and Training: Background, Concept and Tools

ERIC Educational Resources Information Center

Gessler, Michael; Howe, Falk

2015-01-01

The "Riga Conclusions" of the European Ministries of Education of 22 June 2015 for the orientation of vocational education and training in Europe are promoting work-based learning as one of five "medium-term deliverables" for the next five years. But: How should and can work-based teaching and learning be designed? Our approach…

The relationship of work avoidance and learning goals to perceived competence, externality and meaning.

PubMed

Seifert, T L; O'Keefe, B A

2001-03-01

Motivational researchers have suggested that work avoidance may be an academic goal in which students seek to minimise the amount of work they do in school. Additionally, research has also suggested that emotions may be catalysts for goals. This study examined the relationship between emotions and learning or work avoidance goals. Do emotions explain goals? The participants were 512 senior high school students in Eastern Canada. Students completed a survey assessing motivation related constructs. A structural equation model was postulated in which students' affect predicted learning goals and work avoidant goals. A cluster analysis of affect scores was performed followed by between-group and within-group contrasts of goal scores. The structural equation model suggested that a sense of competence and control were predictive of a learning goal while lack of meaning was related to work avoidance. The cluster analysis showed that confidence and control were associated with a learning goal but that a sense of inadequacy, lack of control or lack of meaning could give rise to work avoidance. Emotions seem to be directly linked to goals. Teachers who foster feelings of self-assuredness will be helping students develop learning goals. Students who feel less competent, bored or have little control will adopt work avoidant goals.

Comparative analysis of machine learning methods in ligand-based virtual screening of large compound libraries.

PubMed

Ma, Xiao H; Jia, Jia; Zhu, Feng; Xue, Ying; Li, Ze R; Chen, Yu Z

2009-05-01

Machine learning methods have been explored as ligand-based virtual screening tools for facilitating drug lead discovery. These methods predict compounds of specific pharmacodynamic, pharmacokinetic or toxicological properties based on their structure-derived structural and physicochemical properties. Increasing attention has been directed at these methods because of their capability in predicting compounds of diverse structures and complex structure-activity relationships without requiring the knowledge of target 3D structure. This article reviews current progresses in using machine learning methods for virtual screening of pharmacodynamically active compounds from large compound libraries, and analyzes and compares the reported performances of machine learning tools with those of structure-based and other ligand-based (such as pharmacophore and clustering) virtual screening methods. The feasibility to improve the performance of machine learning methods in screening large libraries is discussed.

Applying Adaptive Swarm Intelligence Technology with Structuration in Web-Based Collaborative Learning

ERIC Educational Resources Information Center

Huang, Yueh-Min; Liu, Chien-Hung

2009-01-01

One of the key challenges in the promotion of web-based learning is the development of effective collaborative learning environments. We posit that the structuration process strongly influences the effectiveness of technology used in web-based collaborative learning activities. In this paper, we propose an ant swarm collaborative learning (ASCL)…

Neuromodulatory adaptive combination of correlation-based learning in cerebellum and reward-based learning in basal ganglia for goal-directed behavior control

PubMed Central

Dasgupta, Sakyasingha; Wörgötter, Florentin; Manoonpong, Poramate

2014-01-01

Goal-directed decision making in biological systems is broadly based on associations between conditional and unconditional stimuli. This can be further classified as classical conditioning (correlation-based learning) and operant conditioning (reward-based learning). A number of computational and experimental studies have well established the role of the basal ganglia in reward-based learning, where as the cerebellum plays an important role in developing specific conditioned responses. Although viewed as distinct learning systems, recent animal experiments point toward their complementary role in behavioral learning, and also show the existence of substantial two-way communication between these two brain structures. Based on this notion of co-operative learning, in this paper we hypothesize that the basal ganglia and cerebellar learning systems work in parallel and interact with each other. We envision that such an interaction is influenced by reward modulated heterosynaptic plasticity (RMHP) rule at the thalamus, guiding the overall goal directed behavior. Using a recurrent neural network actor-critic model of the basal ganglia and a feed-forward correlation-based learning model of the cerebellum, we demonstrate that the RMHP rule can effectively balance the outcomes of the two learning systems. This is tested using simulated environments of increasing complexity with a four-wheeled robot in a foraging task in both static and dynamic configurations. Although modeled with a simplified level of biological abstraction, we clearly demonstrate that such a RMHP induced combinatorial learning mechanism, leads to stabler and faster learning of goal-directed behaviors, in comparison to the individual systems. Thus, in this paper we provide a computational model for adaptive combination of the basal ganglia and cerebellum learning systems by way of neuromodulated plasticity for goal-directed decision making in biological and bio-mimetic organisms. PMID:25389391

Neuromodulatory adaptive combination of correlation-based learning in cerebellum and reward-based learning in basal ganglia for goal-directed behavior control.

PubMed

Dasgupta, Sakyasingha; Wörgötter, Florentin; Manoonpong, Poramate

2014-01-01

Goal-directed decision making in biological systems is broadly based on associations between conditional and unconditional stimuli. This can be further classified as classical conditioning (correlation-based learning) and operant conditioning (reward-based learning). A number of computational and experimental studies have well established the role of the basal ganglia in reward-based learning, where as the cerebellum plays an important role in developing specific conditioned responses. Although viewed as distinct learning systems, recent animal experiments point toward their complementary role in behavioral learning, and also show the existence of substantial two-way communication between these two brain structures. Based on this notion of co-operative learning, in this paper we hypothesize that the basal ganglia and cerebellar learning systems work in parallel and interact with each other. We envision that such an interaction is influenced by reward modulated heterosynaptic plasticity (RMHP) rule at the thalamus, guiding the overall goal directed behavior. Using a recurrent neural network actor-critic model of the basal ganglia and a feed-forward correlation-based learning model of the cerebellum, we demonstrate that the RMHP rule can effectively balance the outcomes of the two learning systems. This is tested using simulated environments of increasing complexity with a four-wheeled robot in a foraging task in both static and dynamic configurations. Although modeled with a simplified level of biological abstraction, we clearly demonstrate that such a RMHP induced combinatorial learning mechanism, leads to stabler and faster learning of goal-directed behaviors, in comparison to the individual systems. Thus, in this paper we provide a computational model for adaptive combination of the basal ganglia and cerebellum learning systems by way of neuromodulated plasticity for goal-directed decision making in biological and bio-mimetic organisms.

Human rights in occupational therapy education: A step towards a more occupationally just global society.

PubMed

Crawford, Emma; Aplin, Tammy; Rodger, Sylvia

2017-04-01

Education on human rights will place occupational therapists in a strong position to address societal inequities that limit occupational engagement for many client groups. The imminent changes to the Minimum Standard for the Education of Occupational Therapists engender efforts towards social change and will require university-level human rights education. This education might enhance the profession's influence on disadvantaging social structures in order to effect social change. To contribute to the evidence base for social change education in occupational therapy, this research aims to understand the knowledge, skills, confidence and learning experiences of occupational therapy students who completed a human rights course. Final year occupational therapy students responded to questionnaires which included listing human rights, a human rights scale measuring knowledge and confidence for working towards human rights, and open questions. Numbers of rights listed, knowledge scores and confidence scores were calculated. Responses to the open questions were thematically analysed. After completing a human rights course, students had good knowledge and moderate confidence to work with human rights. Three themes were identified including 'learning about human rights', 'learning about structural, societal and global perspectives on occupational engagement' and 'learning how occupational therapists can work with groups, communities and populations: becoming articulate and empowered'. Human rights education fosters the development of occupational therapists who are skilled, knowledgeable, confident and empowered to address occupational injustices, according to these research findings. To develop a more occupationally just global society, education that considers iniquitous social structures and human rights is necessary. © 2016 Occupational Therapy Australia.

Toward a 3-P Model of Workplace Learning: A Literature Review

ERIC Educational Resources Information Center

Tynjala, Paivi

2013-01-01

The interest in research focusing on learning taking place at work, through work and for work has considerably increased over the past two decades. The purpose of the paper is to review and structure this wide and diverse research field. A tentative holistic model--the 3-P model of workplace learning--is presented, in relation to which the…

Learning with the Arts: What Opportunities Are There for Work-Related Adult Learning?

ERIC Educational Resources Information Center

Manning, Claire; Verenikina, Irina; Brown, Ian

2010-01-01

What can arts-based learning offer to adult, work-related education? A study was undertaken that explored the benefits of learning with the arts for professional development of an adult learner in Australia. The individual experiences of nine adults who participated in arts-based workshops to build work-related skills were examined using the…

Work-Based Learning for Adolescents with Learning Disabilities: Creating a Context for Success

ERIC Educational Resources Information Center

Versnel, Joan; Hutchinson, Nancy L.; Munby, Hugh; Chin, Peter

2008-01-01

This paper describes cases of two adolescents with learning disabilities working in automotive repair businesses as part of a work-based education program. Neither adolescent was judged to have been successful by the workplace supervisors. The frameworks chosen for analyzing these cases draw upon recent work in self-determination, workplace…

Cortical and Hippocampal Correlates of Deliberation during Model-Based Decisions for Rewards in Humans

PubMed Central

Bornstein, Aaron M.; Daw, Nathaniel D.

2013-01-01

How do we use our memories of the past to guide decisions we've never had to make before? Although extensive work describes how the brain learns to repeat rewarded actions, decisions can also be influenced by associations between stimuli or events not directly involving reward — such as when planning routes using a cognitive map or chess moves using predicted countermoves — and these sorts of associations are critical when deciding among novel options. This process is known as model-based decision making. While the learning of environmental relations that might support model-based decisions is well studied, and separately this sort of information has been inferred to impact decisions, there is little evidence concerning the full cycle by which such associations are acquired and drive choices. Of particular interest is whether decisions are directly supported by the same mnemonic systems characterized for relational learning more generally, or instead rely on other, specialized representations. Here, building on our previous work, which isolated dual representations underlying sequential predictive learning, we directly demonstrate that one such representation, encoded by the hippocampal memory system and adjacent cortical structures, supports goal-directed decisions. Using interleaved learning and decision tasks, we monitor predictive learning directly and also trace its influence on decisions for reward. We quantitatively compare the learning processes underlying multiple behavioral and fMRI observables using computational model fits. Across both tasks, a quantitatively consistent learning process explains reaction times, choices, and both expectation- and surprise-related neural activity. The same hippocampal and ventral stream regions engaged in anticipating stimuli during learning are also engaged in proportion to the difficulty of decisions. These results support a role for predictive associations learned by the hippocampal memory system to be recalled during choice formation. PMID:24339770

Differential associations between types of verbal memory and prefrontal brain structure in healthy aging and late life depression.

PubMed

Lamar, Melissa; Charlton, Rebecca; Zhang, Aifeng; Kumar, Anand

2012-07-01

Verbal memory deficits attributed to late life depression (LLD) may result from executive dysfunction that is more detrimental to list-learning than story-based recall when compared to healthy aging. Despite these behavioral dissociations, little work has been done investigating related neuroanatomical dissociations across types of verbal memory performance in LLD. We compared list-learning to story-based memory performance in 24 non-demented individuals with LLD (age ~ 66.1 ± 7.8) and 41 non-demented/non-depressed healthy controls (HC; age ~ 67.6 ± 5.3). We correlated significant results of between-group analyses across memory performance variables with brain volumes of frontal, temporal and parietal regions known to be involved with verbal learning and memory. When compared to the HC group, the LLD group showed significantly lower verbal memory performance for spontaneous recall after repeated exposure and after a long-delay but only for the list-learning task; groups did not differ on story-based memory performance. Despite equivalent brain volumes across regions, only the LLD group showed brain associations with verbal memory performance and only for the list-learning task. Specifically, frontal volumes important for subjective organization and response monitoring correlated with list-learning performance in the LLD group. This study is the first to demonstrate neuroanatomical dissociations across types of verbal memory performance in individuals with LLD. Results provide structural evidence for the behavioral dissociations between list-learning and story-based recall in LLD when compared to healthy aging. More specifically, it points toward a network of predominantly anterior brain regions that may underlie the executive contribution to list-learning in older adults with depression. Copyright © 2012 Elsevier Ltd. All rights reserved.

The Challenges of Work-Based Learning in the Changing Context of the European Higher Education Area

ERIC Educational Resources Information Center

Schmidt, Reinhard; Gibbs, Paul

2009-01-01

This article discusses the key features of the common European framework for work-based learning (WBL) of the "Developing European Work Based Learning Approaches and Methods" (DEWBLAM) project (2003-2006). It examines the context of recent European initiatives and comments on the potential implications for policy, practice and theory,…

The Use of Work-Based Learning Pedagogical Perspectives to Inform Flexible Practice within Higher Education

ERIC Educational Resources Information Center

Nottingham, Paula

2016-01-01

The renewed emphasis on developing flexible learning practices in higher education (HE) underscores the importance of understanding pedagogies for students who are based in the workplace or undertake significant work-related elements of study. This paper draws on research that explores how work-based learning (WBL) pedagogy operates in UK HE using…

Exploring informal workplace learning in primary healthcare for continuous professional development.

PubMed

Joynes, Viktoria; Kerr, Micky; Treasure-Jones, Tamsin

2017-07-01

All health and social care professionals learn on the job through both formal and informal learning processes, which contributes to continuous professional development (CPD). This study explored workplace learning in General Practices, specifically looking at the role of informal learning and the workplace practices that appear to support or restrict that learning, as well as how technology was integrated into these learning processes. Three focus groups with general practitioners, practice nurses, managerial and administrative staff were conducted followed by twelve individual semi-structured interviews with participants drawn from the focus groups. Three observations of multi-disciplinary team meetings were used to establish potential team-based learning activities. Triggers for informal workplace learning included patients presenting challenging or unusual conditions; exposure to others' professional practice; and policy driven changes through revised guidance and protocols. By exploring how these triggers were acted upon, we identified mechanisms through which the primary care workplace supports or restricts informal learning through working practices, existing technologies and inter-professional structures. Informal workplace learning was identified as arising from both opportunistic encounters and more planned activities, which are both supported and restricted through a variety of mechanisms. Maximising informal learning opportunities and removing barriers to doing so should be a priority for primary care practitioners, managers and educators.

The Structure of Work, Patterns of Communication, and Organizational Learning: A Three-Nation Comparison.

ERIC Educational Resources Information Center

Hanson, David P.; Saban, Kenneth

2001-01-01

Examines the relationship between internal communications and organizational learning and considers the effects of national differences in work organization on differences in internal communications, learning, and new product development. Compares small group performance in American startups, smaller Italian companies, and Japanese management…

Understanding Learning Cultures

ERIC Educational Resources Information Center

Hodkinson, Phil; Biesta, Gert; James, David

2007-01-01

This paper sets out an explanation about the nature of learning cultures and how they work. In so doing, it directly addresses some key weaknesses in current situated learning theoretical writing, by working to overcome unhelpful dualisms, such as the individual and the social, and structure and agency. It does this through extensive use of some…

Preliminary Work for Examining the Scalability of Reinforcement Learning

NASA Technical Reports Server (NTRS)

Clouse, Jeff

1998-01-01

Researchers began studying automated agents that learn to perform multiple-step tasks early in the history of artificial intelligence (Samuel, 1963; Samuel, 1967; Waterman, 1970; Fikes, Hart & Nilsonn, 1972). Multiple-step tasks are tasks that can only be solved via a sequence of decisions, such as control problems, robotics problems, classic problem-solving, and game-playing. The objective of agents attempting to learn such tasks is to use the resources they have available in order to become more proficient at the tasks. In particular, each agent attempts to develop a good policy, a mapping from states to actions, that allows it to select actions that optimize a measure of its performance on the task; for example, reducing the number of steps necessary to complete the task successfully. Our study focuses on reinforcement learning, a set of learning techniques where the learner performs trial-and-error experiments in the task and adapts its policy based on the outcome of those experiments. Much of the work in reinforcement learning has focused on a particular, simple representation, where every problem state is represented explicitly in a table, and associated with each state are the actions that can be chosen in that state. A major advantage of this table lookup representation is that one can prove that certain reinforcement learning techniques will develop an optimal policy for the current task. The drawback is that the representation limits the application of reinforcement learning to multiple-step tasks with relatively small state-spaces. There has been a little theoretical work that proves that convergence to optimal solutions can be obtained when using generalization structures, but the structures are quite simple. The theory says little about complex structures, such as multi-layer, feedforward artificial neural networks (Rumelhart & McClelland, 1986), but empirical results indicate that the use of reinforcement learning with such structures is promising. These empirical results make no theoretical claims, nor compare the policies produced to optimal policies. A goal of our work is to be able to make the comparison between an optimal policy and one stored in an artificial neural network. A difficulty of performing such a study is finding a multiple-step task that is small enough that one can find an optimal policy using table lookup, yet large enough that, for practical purposes, an artificial neural network is really required. We have identified a limited form of the game OTHELLO as satisfying these requirements. The work we report here is in the very preliminary stages of research, but this paper provides background for the problem being studied and a description of our initial approach to examining the problem. In the remainder of this paper, we first describe reinforcement learning in more detail. Next, we present the game OTHELLO. Finally we argue that a restricted form of the game meets the requirements of our study, and describe our preliminary approach to finding an optimal solution to the problem.

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

PubMed

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 team-based scenario, they distributed the workload to achieve their goals. The findings suggest that student participants learned as they engaged in these scenario-based simulations when they worked to make sense of the patient's clinical presentation. The findings may provide insight into how student participants' meaning-making efforts are mediated by the cultural artifacts (e.g., physical clinical tools) they access, the social interactions they engage in, the structured interventions they perform, and the roles they are assigned. The findings also highlight the complex and emergent properties of scenario-based simulations as well as how activities are nested. Implications for learning, instructional design, and assessment are discussed.

[Perceptions of classroom goal structures, personal achievement goal orientations, and learning strategies].

PubMed

Miki, Kaori; Yamauchi, Hirotsugu

2005-08-01

We examined the relations among students' perceptions of classroom goal structures (mastery and performance goal structures), students' achievement goal orientations (mastery, performance, and work-avoidance goals), and learning strategies (deep processing, surface processing and self-handicapping strategies). Participants were 323 5th and 6th grade students in elementary schools. The results from structural equation modeling indicated that perceptions of classroom mastery goal structures were associated with students' mastery goal orientations, which were in turn related positively to the deep processing strategies and academic achievement. Perceptions of classroom performance goal stractures proved associated with work avoidance-goal orientations, which were positively related to the surface processing and self-handicapping strategies. Two types of goal structures had a positive relation with students' performance goal orientations, which had significant positive effects on academic achievement. The results of this study suggest that elementary school students' perceptions of mastery goal structures are related to adaptive patterns of learning more than perceptions of performance goal structures are. The role of perceptions of classroom goal structure in promoting students' goal orientations and learning strategies is discussed.

Artistic Production Processes as Venues for Positive Youth Development. WCER Working Paper No. 2010-2

ERIC Educational Resources Information Center

Halverson, Erica

2010-01-01

Educators must consider how learning environments can structure experiences to produce desired learning outcomes. In this paper, the author describes one type of learning environment where youth have the opportunity to construct adaptive, emergent identities--a "dramaturgical" process that structures the telling, adapting, and…

Supporting Student Learning

ERIC Educational Resources Information Center

Williamson, Ronald; Blackburn, Barbara R.

2010-01-01

The organization and structure of a school can affect one's ability to improve student learning. Structural elements--such as the way time is used, the arrangements for collaboration, and the opportunities for sustained discussion of student learning in one's school--can either be barriers to reform or ways to accelerate the work. This article…

Experiential Therapy with Troubled Youth: The Ropes Course for Adolescent Inpatients.

ERIC Educational Resources Information Center

Blanchard, Charles W.

This paper provides information about conducting adventure-based counseling using a ropes course with adolescent psychiatric inpatients. Active learning in the process of therapy is widely accepted, but it is not clear how the complex nature of that relationship works and how programs should be structured to facilitate change. Theoretical…

Determinants of Literacy Proficiency: A Lifelong-Lifewide Learning Perspective

ERIC Educational Resources Information Center

Desjardins, Richard

2003-01-01

The aim of this article is to investigate the predictive capacity of major determinants of literacy proficiency that are associated with a variety of contexts including school, home, work, community and leisure. An identical structural model based on previous research is fitted to data for 18 countries. The results show that even after accounting…

Out of the Comfort Zone: Enhancing Work-Based Learning about Employability through Student Reflection on Work Placements

ERIC Educational Resources Information Center

Eden, Sally

2014-01-01

This paper examines the work-based learning about employability reported by 26 undergraduate Geography and Environmental Management students on part-time, unpaid work placements. The students' "reflective essays" emphasized their learning more in terms of emotional challenges than in terms of skills, as being pushed out of their…

Building organizational supports for knowledge sharing in county human service organizations: a cross-case analysis of works-in-progress.

PubMed

Lee, Chris; Austin, Michael J

2012-01-01

Building on the literature related to evidence-based practice, knowledge management, and learning organizations, this cross-case analysis presents twelve works-in-progress in ten local public human service organizations seeking to develop their own knowledge sharing systems. The data for this cross-case analysis can be found in the various contributions to this Special Issue. The findings feature the developmental aspects of building a learning organization that include knowledge sharing systems featuring transparency, self-assessment, and dissemination and utilization. Implications for practice focus on the structure and processes involved in building knowledge sharing teams inside public human service organizations. Copyright © Taylor & Francis Group, LLC

Evaluation of Morphological Plasticity in the Cerebella of Basketball Players with MRI

PubMed Central

Park, In Sung; Han, Jong Woo; Lee, Kea Joo; Lee, Nam Joon; Lee, Won Teak; Park, Kyung Ah

2006-01-01

Cerebellum is a key structure involved in motor learning and coordination. In animal models, motor skill learning increased the volume of molecular layer and the number of synapses on Purkinje cells in the cerebellar cortex. The aim of this study is to investigate whether the analogous change of cerebellar volume occurs in human population who learn specialized motor skills and practice them intensively for a long time. Magnetic resonance image (MRI)-based cerebellar volumetry was performed in basketball players and matched controls with V-works image software. Total brain volume, absolute and relative cerebellar volumes were compared between two groups. There was no significant group difference in the total brain volume, the absolute and the relative cerebellar volume. Thus we could not detect structural change in the cerebellum of this athlete group in the macroscopic level. PMID:16614526

Student Use of Academic Knowledge and Skills in Work-Based Learning

ERIC Educational Resources Information Center

Hawley, Joshua D.; Marks, Helen M.

2006-01-01

Using data from in a large Mid-western district, this study analyses the use of academic skills in work-based learning. The primary question asked in this study has to do with the impact of participating in work-based learning on the use of academic skills. Four sets of academic skills were measured using surveys (language arts, math, science, and…

Assessing the Value: Work-Based Learning Placements for Post-Graduate Human Resource Development Students?

ERIC Educational Resources Information Center

Morse, Shona M.

2006-01-01

Purpose: The objective of the pilot study reported on here was to identify some of the more elusive "costs and benefits" of work-based learning (WBL) placements. This was addressed by exploring the views and experience of a small number of human resource development (HRD) professionals who currently offer supervised work-based learning placements…

Applications of Support Vector Machines In Chemo And Bioinformatics

NASA Astrophysics Data System (ADS)

Jayaraman, V. K.; Sundararajan, V.

2010-10-01

Conventional linear & nonlinear tools for classification, regression & data driven modeling are being replaced on a rapid scale by newer techniques & tools based on artificial intelligence and machine learning. While the linear techniques are not applicable for inherently nonlinear problems, newer methods serve as attractive alternatives for solving real life problems. Support Vector Machine (SVM) classifiers are a set of universal feed-forward network based classification algorithms that have been formulated from statistical learning theory and structural risk minimization principle. SVM regression closely follows the classification methodology. In this work recent applications of SVM in Chemo & Bioinformatics will be described with suitable illustrative examples.

20 CFR 664.460 - What are work experiences for youth?

Code of Federal Regulations, 2010 CFR

2010-04-01

....460 What are work experiences for youth? (a) Work experiences are planned, structured learning... adjustment, and other transition activities; (7) Entrepreneurship; (8) Service learning; (9) Paid and unpaid... age 18. Local program operators may choose, however, to use this service strategy for eligible youth...

20 CFR 664.460 - What are work experiences for youth?

Code of Federal Regulations, 2011 CFR

2011-04-01

....460 What are work experiences for youth? (a) Work experiences are planned, structured learning... adjustment, and other transition activities; (7) Entrepreneurship; (8) Service learning; (9) Paid and unpaid... age 18. Local program operators may choose, however, to use this service strategy for eligible youth...

Use of knowledge-sharing web-based portal in gross and microscopic anatomy.

PubMed

Durosaro, Olayemi; Lachman, Nirusha; Pawlina, Wojciech

2008-12-01

Changes in worldwide healthcare delivery require review of current medical school curricula structure to develop learning outcomes that ensures mastery of knowledge and clinical competency. In the last 3 years, Mayo Medical School implemented outcomes-based curriculum to encompass new graduate outcomes. Standard courses were replaced by 6-week clinically-integrated didactic blocks separated by student-self selected academic enrichment activities. Gross and microscopic anatomy was integrated with radiology and genetics respectively. Laboratory components include virtual microscopy and anatomical dissection. Students assigned to teams utilise computer portals to share learning experiences. High-resolution computed tomographic (CT) scans of cadavers prior to dissection were made available for correlative learning between the cadaveric material and radiologic images. Students work in teams on assigned presentations that include histology, cell and molecular biology, genetics and genomic using the Nexus Portal, based on DrupalEd, to share their observations, reflections and dissection findings. New generation of medical students are clearly comfortable utilising web-based programmes that maximise their learning potential of conceptually difficult and labor intensive courses. Team-based learning approach emphasising the use of knowledge-sharing computer portals maximises opportunities for students to master their knowledge and improve cognitive skills to ensure clinical competency.

Learning to Work during Work Placement: Negotiating Access to Work and Participation through "Origination" and Establishing a "Legitimate Presence"

ERIC Educational Resources Information Center

Pang, Priscilla

2015-01-01

Research on work-based learning has produced much insight into how newcomers to work roles acquire the skills and knowledge required in their work. Overwhelmingly, studies have shown that learning takes place through participation in work activities which provides opportunities for learning. But participation can be problematic when workers and…

Preparation for Meaningful Work and Life: Urban High School Youth's Reflections on Work-Based Learning 1 Year Post-Graduation.

PubMed

Kenny, Maureen E; Catraio, Christine; Bempechat, Janine; Minor, Kelly; Olle, Chad; Blustein, David L; Seltzer, Joanne

2016-01-01

The challenges confronted by low-income high school students throughout school and across the transition to higher education and employment are well-documented in the US and many other nations. Adopting a positive youth development perspective (Lerner et al., 2005), this study reports findings from interviews with 18 low-income, racially and ethnically diverse graduates of an urban Catholic high school in the US. The interviews were designed to shed light on the post-high school experiences of urban high school graduates and to understand how students construct meaning about the value of school and work-based learning (WBL) in their preparation for meaningful work and life. The interviews highlight the perceived value of the academic and non-cognitive preparation students experienced through high school and WBL in relation to the challenges they encountered along the pathway to post-high school success and decent work. Overall, the findings suggest the potential of WBL for low-income youth in facilitating access to resources that build academic and psychological/non-cognitive assets, while also illustrating the role of structural and contextual factors in shaping post-high school transitions and access to meaningful work and life opportunities.

Using texts in science education: cognitive processes and knowledge representation.

PubMed

van den Broek, Paul

2010-04-23

Texts form a powerful tool in teaching concepts and principles in science. How do readers extract information from a text, and what are the limitations in this process? Central to comprehension of and learning from a text is the construction of a coherent mental representation that integrates the textual information and relevant background knowledge. This representation engenders learning if it expands the reader's existing knowledge base or if it corrects misconceptions in this knowledge base. The Landscape Model captures the reading process and the influences of reader characteristics (such as working-memory capacity, reading goal, prior knowledge, and inferential skills) and text characteristics (such as content/structure of presented information, processing demands, and textual cues). The model suggests factors that can optimize--or jeopardize--learning science from text.

[Computer-assisted multimedia interactive learning program "Primary Open-Angle Glaucoma"].

PubMed

Dick, V B; Zenz, H; Eisenmann, D; Tekaat, C J; Wagner, R; Jacobi, K W

1996-05-01

Advances in the area of information technology have opened up new possibilities for the use of interactive media in the training of medical students. Classical instructional technologies, such as video, slides, audio cassettes and computer programs with a textbook orientation, have been merged into one multimedia computer system. The medical profession has been increasingly integrating computer-based applications which can be used, for example, for record keeping within a medical practice. The goal of this development is to provide access to all modes of information storage and retrieval as well as documentation and training systems within a specific context. Since the beginning of the winter semester 1995, the Department of Ophthalmology in Giessen has used the learning program "Primary Open Angle Glaucoma" in student instruction. One factor that contributed to the implementation of this project was that actual training using patients within the clinic is difficult to conduct. Media-supported training that can provide a simulation of actual practice offers a suitable substitute. The learning program has been installed on Power PCs (Apple MacIntosh), which make up the technical foundation of our system. The program was developed using Hypercard software, which provides userfriendly graphical work environment. This controls the input and retrieval of data, direct editing of documents, immediate simulation, the creation of on-screen documents and the integration of slides that have been scanned in as well as QuickTime films. All of this can be accomplished without any special knowledge of programming language or operating systems on the part of the user. The glaucoma learning program is structured along the lines of anatomy, including an explanation of the circulation of the aqueous humor, pathology, clinical symptoms and findings, diagnosis and treatment. This structure along with the possibility for creating a list of personal files for the user with a collection of illustrations and text allows for quick access to learning content. The program is designed in such a way that working with and through it is done in a manner conducive to learning. Student response to the learning program as an accompaniment to instruction has been positive. Independent, supplemental student learning by means of an interactive learning program has raised the quality of study within the sciences. The use of a pedagogically sound multimedia program, that is oriented toward problem solving and based on actual cases offers students the opportunity to actively work ophthalmological material. An additional benefit is the development of competence in working with computer-support information systems, something that is playing an ever-increasing role within the medical profession.

Between Policy and Practice: Structuring Workplace Learning in Higher Vocational Education in Sweden and Finland

ERIC Educational Resources Information Center

Lindell, Mats; Stenstrom, Marja-Leena

2005-01-01

Purpose: This study considers the recently established higher vocational education reforms with Swedish advanced vocational education (AVE) and Finnish polytechnics in terms of organisational structure, the design of workplace learning, and furthermore, what kind of practical implications these new models of learning at work have resulted in.…

Cooperative/Collaborative Learning: Research and Practice (Primarily) at the Collegiate Level, Parts I and II.

ERIC Educational Resources Information Center

Cooper, James L.; And Others

1991-01-01

Cooperative learning may be defined as a structured, systematic instructional strategy in which small groups work together toward a common goal. It differs from collaborative learning in its emphasis on highly structured techniques for ensuring positive interdependence within groups and its insistence on individual accountability rather than…

Learning to "See" Less than Nothing: Putting Perceptual Skills to Work for Learning Numerical Structure

ERIC Educational Resources Information Center

Tsang, Jessica M.; Blair, Kristen P.; Bofferding, Laura; Schwartz, Daniel L.

2015-01-01

How can children's natural perceptuo-motor skills be harnessed for teaching and learning mathematical structure? We address this question in the case of the integers. Existing research suggests that adult mental representations of integers recruit perceptuo-motor functionalities involving symmetry. Building on these findings, we designed a…

Removing Legal Barriers around Work-Based Learning. Connecting the Classroom to Careers: The State's Role in Work-Based Learning

ERIC Educational Resources Information Center

Advance CTE: State Leaders Connecting Learning to Work, 2016

2016-01-01

This report, the second installment in Advance CTE's "Connecting the Classroom to Careers," series, explores an issue that is often a stumbling block for K-12 work-based learning--ensuring these experiences are safe and legal for students. This report features New Jersey, Kentucky and California and their approaches to dismantling…

Higher Education Institutions and Work-Based Learning in the UK: Employer Engagement within a Tripartite Relationship

ERIC Educational Resources Information Center

Basit, Tehmina N.; Eardley, Alan; Borup, Rosemary; Shah, Hanifa; Slack, Kim; Hughes, Amanda

2015-01-01

Higher education institutions (HEIs) in the UK are increasingly engaging in work-based learning. The tripartite relationship between the HEI, the employer and the employee is viewed to be of great significance in work-based learning, not only in the initial stages of procurement of a contract, but also in designing and delivering the programme to…

A new computational account of cognitive control over reinforcement-based decision-making: Modeling of a probabilistic learning task.

PubMed

Zendehrouh, Sareh

2015-11-01

Recent work on decision-making field offers an account of dual-system theory for decision-making process. This theory holds that this process is conducted by two main controllers: a goal-directed system and a habitual system. In the reinforcement learning (RL) domain, the habitual behaviors are connected with model-free methods, in which appropriate actions are learned through trial-and-error experiences. However, goal-directed behaviors are associated with model-based methods of RL, in which actions are selected using a model of the environment. Studies on cognitive control also suggest that during processes like decision-making, some cortical and subcortical structures work in concert to monitor the consequences of decisions and to adjust control according to current task demands. Here a computational model is presented based on dual system theory and cognitive control perspective of decision-making. The proposed model is used to simulate human performance on a variant of probabilistic learning task. The basic proposal is that the brain implements a dual controller, while an accompanying monitoring system detects some kinds of conflict including a hypothetical cost-conflict one. The simulation results address existing theories about two event-related potentials, namely error related negativity (ERN) and feedback related negativity (FRN), and explore the best account of them. Based on the results, some testable predictions are also presented. Copyright © 2015 Elsevier Ltd. All rights reserved.

The language faculty that wasn't: a usage-based account of natural language recursion

PubMed Central

Christiansen, Morten H.; Chater, Nick

2015-01-01

In the generative tradition, the language faculty has been shrinking—perhaps to include only the mechanism of recursion. This paper argues that even this view of the language faculty is too expansive. We first argue that a language faculty is difficult to reconcile with evolutionary considerations. We then focus on recursion as a detailed case study, arguing that our ability to process recursive structure does not rely on recursion as a property of the grammar, but instead emerges gradually by piggybacking on domain-general sequence learning abilities. Evidence from genetics, comparative work on non-human primates, and cognitive neuroscience suggests that humans have evolved complex sequence learning skills, which were subsequently pressed into service to accommodate language. Constraints on sequence learning therefore have played an important role in shaping the cultural evolution of linguistic structure, including our limited abilities for processing recursive structure. Finally, we re-evaluate some of the key considerations that have often been taken to require the postulation of a language faculty. PMID:26379567

The language faculty that wasn't: a usage-based account of natural language recursion.

PubMed

Christiansen, Morten H; Chater, Nick

2015-01-01

In the generative tradition, the language faculty has been shrinking-perhaps to include only the mechanism of recursion. This paper argues that even this view of the language faculty is too expansive. We first argue that a language faculty is difficult to reconcile with evolutionary considerations. We then focus on recursion as a detailed case study, arguing that our ability to process recursive structure does not rely on recursion as a property of the grammar, but instead emerges gradually by piggybacking on domain-general sequence learning abilities. Evidence from genetics, comparative work on non-human primates, and cognitive neuroscience suggests that humans have evolved complex sequence learning skills, which were subsequently pressed into service to accommodate language. Constraints on sequence learning therefore have played an important role in shaping the cultural evolution of linguistic structure, including our limited abilities for processing recursive structure. Finally, we re-evaluate some of the key considerations that have often been taken to require the postulation of a language faculty.

Work-based learning: supporting advanced perioperative practice.

PubMed

Quick, Julie

2010-07-01

The arrival of work-based learning awards in professional education offers an alternative route for healthcare professionals looking to undertake post-registration education. The unique way that work-based learning integrates individual learning needs with that of role requirements makes the award an ideal choice for the advanced perioperative practitioner (APP) who wishes to combine academic study with professional development. As an experienced and professionally qualified practitioner (Thatcher 2003) the APP will have an accumulation of knowledge, skills and experience that may go unrecognised in alternative awards. The term APP refers to a nurse, ODP or allied healthcare professional who undertakes a role that challenges the traditional boundaries of care within the perioperative environment (Radford 2004), such as that of a surgical care practitioner (SCP). Here Julie Quick, a SCP, examines the changes within post-registration education and in particular describes why work-based learning awards may be an appropriate choice for practitioners working at a higher level of practice.

Reflections on Distributive Leadership for Work-Based Mobile Learning of Canadian Registered Nurses

ERIC Educational Resources Information Center

Fahlman, Dorothy

2017-01-01

The ubiquity, flexibility, and accessibility of mobile devices can transform how registered nurses in Canada learn beyond the confines of traditional education/training boundaries in their work settings. Many Canadian registered nurses have actively embraced mobile technologies for their work-based learning to meet their competency requirements…

Work-Based Learning through Civic Engagement

ERIC Educational Resources Information Center

McKoy, Deborah L.; Stern, David; Bierbaum, Ariel H.

2011-01-01

Work-based learning (WBL), an important part of the 1990s "School to Work" movement, is a core component of the Linked Learning strategy which is now shaping efforts to improve secondary education in California and around the nation in cities such as Detroit, New York, and Philadelphia. WBL can include not only classic internships and…

Reflection in Work-Based Learning: Self-Regulation or Self-Liberation?

ERIC Educational Resources Information Center

Siebert, Sabina; Walsh, Anita

2013-01-01

This article considers the role of reflective practice in work-based learning in higher education. The benefits of using reflection for learning at work have been widely recognised and the pedagogy to support reflection is now established. However, the use of reflective practice has been subjected to considerable critique, and many of the…

Structural Identification and Comparison of Intelligent Mobile Learning Environment

ERIC Educational Resources Information Center

Upadhyay, Nitin; Agarwal, Vishnu Prakash

2007-01-01

This paper proposes a methodology using graph theory, matrix algebra and permanent function to compare different architecture (structure) design of intelligent mobile learning environment. The current work deals with the development/selection of optimum architecture (structural) model of iMLE. This can be done using the criterion as discussed in…

Deep learning for neuroimaging: a validation study.

PubMed

Plis, Sergey M; Hjelm, Devon R; Salakhutdinov, Ruslan; Allen, Elena A; Bockholt, Henry J; Long, Jeffrey D; Johnson, Hans J; Paulsen, Jane S; Turner, Jessica A; Calhoun, Vince D

2014-01-01

Deep learning methods have recently made notable advances in the tasks of classification and representation learning. These tasks are important for brain imaging and neuroscience discovery, making the methods attractive for porting to a neuroimager's toolbox. Success of these methods is, in part, explained by the flexibility of deep learning models. However, this flexibility makes the process of porting to new areas a difficult parameter optimization problem. In this work we demonstrate our results (and feasible parameter ranges) in application of deep learning methods to structural and functional brain imaging data. These methods include deep belief networks and their building block the restricted Boltzmann machine. We also describe a novel constraint-based approach to visualizing high dimensional data. We use it to analyze the effect of parameter choices on data transformations. Our results show that deep learning methods are able to learn physiologically important representations and detect latent relations in neuroimaging data.

The use of "vertical integration groups" to help define and update course/clerkship content.

PubMed

Nierenberg, D W

1998-10-01

Faculty at many medical schools are working hard to improve the quality of their curricula. While the world "curriculum" means different things to different people, curricular change often includes improving the structure of the teaching/learning environment (e.g., seminars or problem-based learning groups vs lectures), the content of courses and clerkships (the core set of knowledge, skills, and attitudes that should be learned), and the manner in which student learning of knowledge and skills is evaluated (the sense that evaluation can help "drive" the curriculum). The author describes how "vertical integration groups" have been used over four years at Dartmouth Medical School to improve and modernize the content of courses and clerkships. In this approach, students and faculty work together to address and improve content areas that normally are not associated with traditional, discipline-centered courses or clerkships. The author discusses the advantages of this approach, the challenges encountered during implementation, and examples of how the approach has been put into action.

Learning and Language: Supporting Group Work so Group Work Supports Learning

ERIC Educational Resources Information Center

Mylett, Terri; Gluck, Russell

2005-01-01

This paper reports on developments in teaching and learning for first year employment relations students at the University of Wollongong based on creating conditions of learning informed by Vygotsky's "zone of proximal development" theory. Essentially, this meant emphasising collaborative learning (group work) in the lecture theatre and…

Attention, Working Memory, and Long-Term Memory in Multimedia Learning: An Integrated Perspective Based on Process Models of Working Memory

ERIC Educational Resources Information Center

Schweppe, Judith; Rummer, Ralf

2014-01-01

Cognitive models of multimedia learning such as the Cognitive Theory of Multimedia Learning (Mayer 2009) or the Cognitive Load Theory (Sweller 1999) are based on different cognitive models of working memory (e.g., Baddeley 1986) and long-term memory. The current paper describes a working memory model that has recently gained popularity in basic…

Development and Implementation of a School-based Obesity Prevention Intervention: Lessons Learned from Community-Based Participatory Research

PubMed Central

Uyeda, Kimberly; Bogart, Laura M.; Hawes-Dawson, Jennifer; Schuster, Mark A.

2010-01-01

Background National, state, and local policies aim to change school environments to prevent child obesity. Community-based participatory research (CBPR) can be effective in translating public health policy into practice. Objectives We describe lessons learned from developing and pilot testing a middle school-based obesity prevention intervention using CBPR in Los Angeles, California. Methods We formed a community–academic partnership between the Los Angeles Unified School District (LAUSD) and the UCLA/RAND Center for Adolescent Health Promotion to identify community needs and priorities for addressing adolescent obesity and to develop and pilot test a school-based intervention. Lessons Learned Academic partners need to be well-versed in organizational structures and policies. Partnerships should be built on relationships of trust, shared vision, and mutual capacity building, with genuine community engagement at multiple levels. Conclusion These lessons are critical, not only for partnering with schools on obesity prevention, but also for working in other community settings and on other health issues. PMID:20208226

Aspirations of and Realities for Hong Kong Students: Is the "Formal" Transition System Effective?

ERIC Educational Resources Information Center

Pavlova, Margarita

2017-01-01

School to work transition is an important aspect of lifelong learning that has increased in significance as the knowledge-based economy takes off in developed countries. Rapid structural economic changes, the importance of innovation, and a shorter lifecycle of products require education systems to adjust to the needs of economies and individuals.…

Why School Teams Don't Analyze Data

ERIC Educational Resources Information Center

Thomas, Ronald

2011-01-01

Whether schools have productive data-analysis sessions leading to instructional improvements and increased student learning or meetings that are a waste of time and resources could well hinge on the structures that are put in place by and the expectations of school and district leadership. Based on his work as a data coach with more than 200…

An Ethnodrama on Work-Related Learning in Precarious Jobs: Racialization and Resistance

ERIC Educational Resources Information Center

Sangha, Jasjit K.; Slade, Bonnie; Mirchandani, Kiran; Maitra, Srabani; Shan, Hongxia

2012-01-01

This article is based on a research project on the lived experiences of precarious workers in Toronto, Canada. Using interviews with women in part-time, contract, and temporary jobs in three sectors (telemarketing, retail, and garment), the project explores the ways in which racial hierarchies structure jobs as well as forms of resistance that…

Using self-paced, `flipped' teaching to promote deep learning in an Earth Sciences programming course

NASA Astrophysics Data System (ADS)

Kalnins, L. M.

2015-12-01

Over the last year we implemented a complete restructuring of a second year Matlab-based course on numerical modelling of Earth processes, with changes aimed at 1) strengthening students' independence as programmers, 2) addressing student concerns about support in developing coding skills, and 3) improving key modelling skills such as choosing boundary conditions. To address this, we designed a mastery-based approach where students progress through a series of small programming projects at their own pace. As part of this, all lectures are `flipped' into short videos, allowing all contact hours to be spent on programming. The projects themselves are structured based on a `bottlenecks to learning' approach, explicitly separating out the steps of learning new commands and code structures, creating a conceptual and mathematical model of the problem, and development of more generic programmings skills such as debugging before asking the students to combine all of the above to build a numerical model of an Earth Sciences problem. Compared with the previous, traditionally taught cohort, student questionnaires show a strong improvement in overall satisfaction. Free text responses show a focus on learning for understanding, and that students particularly valued the encouragement to slow down and work towards understanding when they encountered a difficult topic, rather than being pressured by a set timetable to move on. Quantitatively, exam performance improved on key conceptual questions, such as boundary conditions and discretisation, and overall achievement also rose, with 25% of students achieving an `A+' standard of work. Many of the final projects also demonstrated programming and modelling skills that had not been directly taught, ranging from use of new commands to extension of techniques taught in 1D to the 2D case: strong confirmation of the independent skills we aimed to foster with this new approach.

National Advisory Commission on Work-Based Learning. Minutes of Full Commission Meeting (5th, Washington, District of Columbia, April 7, 1992).

ERIC Educational Resources Information Center

National Commission on Work-Based Learning (DOL), Washington, DC.

This document contains minutes of the fifth meeting of the National Advisory Commission on Work-Based Learning. The meeting's stated objective was to produce a set of specific action steps for the U.S. Department of Labor to promote work-based learning. A summary of introductory remarks (Jack MacAllister) is followed by a description of the…

Songs as an aid for language acquisition.

PubMed

Schön, Daniele; Boyer, Maud; Moreno, Sylvain; Besson, Mireille; Peretz, Isabelle; Kolinsky, Régine

2008-02-01

In previous research, Saffran and colleagues [Saffran, J. R., Aslin, R. N., & Newport, E. L. (1996). Statistical learning by 8-month-old infants. Science, 274, 1926-1928; Saffran, J. R., Newport, E. L., & Aslin, R. N. (1996). Word segmentation: The role of distributional cues. Journal of Memory and Language, 35, 606-621.] have shown that adults and infants can use the statistical properties of syllable sequences to extract words from continuous speech. They also showed that a similar learning mechanism operates with musical stimuli [Saffran, J. R., Johnson, R. E. K., Aslin, N., & Newport, E. L. (1999). Abstract Statistical learning of tone sequences by human infants and adults. Cognition, 70, 27-52.]. In this work we combined linguistic and musical information and we compared language learning based on speech sequences to language learning based on sung sequences. We hypothesized that, compared to speech sequences, a consistent mapping of linguistic and musical information would enhance learning. Results confirmed the hypothesis showing a strong learning facilitation of song compared to speech. Most importantly, the present results show that learning a new language, especially in the first learning phase wherein one needs to segment new words, may largely benefit of the motivational and structuring properties of music in song.

What Teacher Education Students Learn about Collaboration from Problem-Based Learning

ERIC Educational Resources Information Center

Murray-Harvey, Rosalind; Pourshafie, Tahereh; Reyes, Wilma Santos

2013-01-01

Group work, an essential component of learning and teaching in problem-based learning (PBL), is compromised if students' experiences of PBL are colored by dissatisfaction with the process or outcomes. For the potential benefits of PBL to be realized PBL group work must be genuinely collaborative to address students' personal and professional…

Assessment in Work-Based Learning: Investigating a Pedagogical Approach to Enhance Student Learning

ERIC Educational Resources Information Center

Brodie, Pandy; Irving, Kate

2007-01-01

Work-based learning (WBL) is undertaken in a wide variety of higher education contexts and is increasingly viewed as a valuable, and increasingly essential, component of both the undergraduate and postgraduate student learning experience. However, the development of rigorous pedagogies to underpin WBL and its assessment is still embryonic. This…

Assessing the Unassessable: Making Learning Visible in Undergraduates' Experiences of Scientific Research

ERIC Educational Resources Information Center

Wilson, Anna; Howitt, Susan; Higgins, Denise

2016-01-01

We suggest that academics involved in the provision of research experiences to undergraduate science students may benefit by reconceptualising these experiences as work-based learning. In particular, drawing on the widespread use of reflective practice in work-based learning allows for a more effective focus on process-related learning. We…

A Cognitive Neural Architecture Able to Learn and Communicate through Natural Language.

PubMed

Golosio, Bruno; Cangelosi, Angelo; Gamotina, Olesya; Masala, Giovanni Luca

2015-01-01

Communicative interactions involve a kind of procedural knowledge that is used by the human brain for processing verbal and nonverbal inputs and for language production. Although considerable work has been done on modeling human language abilities, it has been difficult to bring them together to a comprehensive tabula rasa system compatible with current knowledge of how verbal information is processed in the brain. This work presents a cognitive system, entirely based on a large-scale neural architecture, which was developed to shed light on the procedural knowledge involved in language elaboration. The main component of this system is the central executive, which is a supervising system that coordinates the other components of the working memory. In our model, the central executive is a neural network that takes as input the neural activation states of the short-term memory and yields as output mental actions, which control the flow of information among the working memory components through neural gating mechanisms. The proposed system is capable of learning to communicate through natural language starting from tabula rasa, without any a priori knowledge of the structure of phrases, meaning of words, role of the different classes of words, only by interacting with a human through a text-based interface, using an open-ended incremental learning process. It is able to learn nouns, verbs, adjectives, pronouns and other word classes, and to use them in expressive language. The model was validated on a corpus of 1587 input sentences, based on literature on early language assessment, at the level of about 4-years old child, and produced 521 output sentences, expressing a broad range of language processing functionalities.

Transcranial magnetic stimulation assisted by neuronavigation of magnetic resonance images

NASA Astrophysics Data System (ADS)

Viesca, N. Angeline; Alcauter, S. Sarael; Barrios, A. Fernando; González, O. Jorge J.; Márquez, F. Jorge A.

2012-10-01

Technological advance has improved the way scientists and doctors can learn about the brain and treat different disorders. A non-invasive method used for this is Transcranial Magnetic Stimulation (TMS) based on neuron excitation by electromagnetic induction. Combining this method with functional Magnetic Resonance Images (fMRI), it is intended to improve the localization technique of cortical brain structures by designing an extracranial localization system, based on Alcauter et al. work.

Workplace-based assessment and students' approaches to learning: a qualitative inquiry.

PubMed

Al-Kadri, Hanan M; Al-Kadi, Mohammed T; Van Der Vleuten, Cees P M

2013-01-01

We have performed this research to assess the effect of work-place based assessment (WBA) practice on medical students' learning approaches. The research was conducted at the King Saud bin Abdulaziz University for Health Sciences, College of Medicine from 1 March to 31 July 2012. We conducted a qualitative, phenomenological research utilizing semi-structured individual interviews with medical students exposed to WBA. The audio-taped interviews were transcribed verbatim, analyzed, and themes were identified. We preformed investigators' triangulation, member checking with clinical supervisors and we triangulated the data with a similar research performed prior to the implementation of WBA. WBA results in variable learning approaches. Based on several affecting factors; clinical supervisors, faculty-given feedback, and assessment function, students may swing between surface, deep and effort and achievement learning approaches. Students' and supervisors' orientations on the process of WBA, utilization of peer feedback and formative rather than summative assessment facilitate successful implementation of WBA and lead to students' deeper approaches to learning. Interestingly, students and their supervisors have contradicting perceptions to WBA. A change in culture to unify students' and supervisors' perceptions of WBA, more accommodation of formative assessment, and feedback may result in students' deeper approach to learning.

Learning in Structured Connectionist Networks

DTIC Science & Technology

1988-04-01

the structure is too rigid and learning too difficult for cognitive modeling. Two algorithms for learning simple, feature-based concept descriptions...and learning too difficult for cognitive model- ing. Two algorithms for learning simple, feature-based concept descriptions were also implemented. The...Term Goals Recent progress in connectionist research has been encouraging; networks have success- fully modeled human performance for various cognitive

Mobile Devices and Apps as Scaffolds to Science Learning in the Primary Classroom

NASA Astrophysics Data System (ADS)

Falloon, Garry

2017-12-01

Considerable work over many years has explored the contribution technology can make to science learning, at all levels of education. In the school sector, historically this has focused on the use of fixed, desktop-based or semi-mobile laptop systems for purposes such as experiment data collection or analysis, or as a means of engaging or motivating interest in science. However, the advent of mobile devices such as iPads supported by a huge array of low or no cost apps, means that new opportunities are becoming available for teachers to explore how these resources may be useful for supporting `hands on' science learning. This article reports outcomes from a study of primary (elementary) school students' use of a series of apps integrated with practical science activities, in a topic exploring Energy concepts. It used an innovative display capture tool to examine how the students used the apps and features of their iPads to scaffold their practical work at different stages during the experiments. Results identify device functions and app-based scaffolds that assisted these students to structure their experiments, understand procedures, think about the influence of variables and communicate and share outcomes. However, they also discovered limitations in the apps' ability to support conceptual knowledge development, identifying the critical role of teachers and the importance of task structure and design to ensuring conceptual knowledge objectives are met.

The Integrative Principle: Higher Education and Work-Based Learning in the UK.

ERIC Educational Resources Information Center

Saunders, Murray

1995-01-01

The United Kingdom's developing policy to integrate higher education curriculum and the demands of the workplace is explored, particularly in the context of undergraduate and graduate programs based on learning within the workplace. The policy itself, the relationship between work-based learning and conventional college instruction, and validation…

20 CFR 670.520 - Are students permitted to hold jobs other than work-based learning opportunities?

Code of Federal Regulations, 2010 CFR

2010-04-01

... 20 Employees' Benefits 3 2010-04-01 2010-04-01 false Are students permitted to hold jobs other than work-based learning opportunities? 670.520 Section 670.520 Employees' Benefits EMPLOYMENT AND...-based learning opportunities? Yes, a center operator may authorize a student to participate in gainful...

20 CFR 670.520 - Are students permitted to hold jobs other than work-based learning opportunities?

Code of Federal Regulations, 2011 CFR

2011-04-01

... 20 Employees' Benefits 3 2011-04-01 2011-04-01 false Are students permitted to hold jobs other than work-based learning opportunities? 670.520 Section 670.520 Employees' Benefits EMPLOYMENT AND...-based learning opportunities? Yes, a center operator may authorize a student to participate in gainful...

A real-time standard parts inspection based on deep learning

NASA Astrophysics Data System (ADS)

Xu, Kuan; Li, XuDong; Jiang, Hongzhi; Zhao, Huijie

2017-10-01

Since standard parts are necessary components in mechanical structure like bogie and connector. These mechanical structures will be shattered or loosen if standard parts are lost. So real-time standard parts inspection systems are essential to guarantee their safety. Researchers would like to take inspection systems based on deep learning because it works well in image with complex backgrounds which is common in standard parts inspection situation. A typical inspection detection system contains two basic components: feature extractors and object classifiers. For the object classifier, Region Proposal Network (RPN) is one of the most essential architectures in most state-of-art object detection systems. However, in the basic RPN architecture, the proposals of Region of Interest (ROI) have fixed sizes (9 anchors for each pixel), they are effective but they waste much computing resources and time. In standard parts detection situations, standard parts have given size, thus we can manually choose sizes of anchors based on the ground-truths through machine learning. The experiments prove that we could use 2 anchors to achieve almost the same accuracy and recall rate. Basically, our standard parts detection system could reach 15fps on NVIDIA GTX1080 (GPU), while achieving detection accuracy 90.01% mAP.

Correlation Filters for Detection of Cellular Nuclei in Histopathology Images.

PubMed

Ahmad, Asif; Asif, Amina; Rajpoot, Nasir; Arif, Muhammad; Minhas, Fayyaz Ul Amir Afsar

2017-11-21

Nuclei detection in histology images is an essential part of computer aided diagnosis of cancers and tumors. It is a challenging task due to diverse and complicated structures of cells. In this work, we present an automated technique for detection of cellular nuclei in hematoxylin and eosin stained histopathology images. Our proposed approach is based on kernelized correlation filters. Correlation filters have been widely used in object detection and tracking applications but their strength has not been explored in the medical imaging domain up till now. Our experimental results show that the proposed scheme gives state of the art accuracy and can learn complex nuclear morphologies. Like deep learning approaches, the proposed filters do not require engineering of image features as they can operate directly on histopathology images without significant preprocessing. However, unlike deep learning methods, the large-margin correlation filters developed in this work are interpretable, computationally efficient and do not require specialized or expensive computing hardware. A cloud based webserver of the proposed method and its python implementation can be accessed at the following URL: http://faculty.pieas.edu.pk/fayyaz/software.html#corehist .

Learning for sustainability among faith-based organizations in Kenya.

PubMed

Moyer, Joanne M; Sinclair, A John; Diduck, Alan P

2014-08-01

The complex and unpredictable contexts in which environmental and development work take place require an adaptable, learning approach. Faith-based organizations (FBOs) play a significant role in sustainability work around the world, and provide a unique setting in which to study learning. This paper explores individual learning for sustainability within two FBOs engaged in sustainability work in Kenya. Learning outcomes covered a broad range of areas, including the sustainability framework, environment/conservation, skills, community work, interpersonal engagement, and personal and faith development. These outcomes were acquired through embodied experience and activity, facilitation by the workplace, interpersonal interaction, personal reflection, and Bible study and worship. Grounded categories were compared to learning domains and processes described by Mezirow's transformative learning theory. The findings indicate that for learning in the sustainability field, instrumental learning and embodied learning processes are particularly important, and consequently they require greater attention in the theory when applied in this field.

Learning for Sustainability Among Faith-Based Organizations in Kenya

NASA Astrophysics Data System (ADS)

Moyer, Joanne M.; Sinclair, A. John; Diduck, Alan P.

2014-08-01

The complex and unpredictable contexts in which environmental and development work take place require an adaptable, learning approach. Faith-based organizations (FBOs) play a significant role in sustainability work around the world, and provide a unique setting in which to study learning. This paper explores individual learning for sustainability within two FBOs engaged in sustainability work in Kenya. Learning outcomes covered a broad range of areas, including the sustainability framework, environment/conservation, skills, community work, interpersonal engagement, and personal and faith development. These outcomes were acquired through embodied experience and activity, facilitation by the workplace, interpersonal interaction, personal reflection, and Bible study and worship. Grounded categories were compared to learning domains and processes described by Mezirow's transformative learning theory. The findings indicate that for learning in the sustainability field, instrumental learning and embodied learning processes are particularly important, and consequently they require greater attention in the theory when applied in this field.

The Development of Work-Based Learning as Part of Post-Qualifying Education: A Case Study from the School of Nursing, University of Salford, UK

ERIC Educational Resources Information Center

Owens, Denise; Rutherford, June

2007-01-01

This paper describes the conception and progress to date of the development of work-based learning as part of post-qualifying education in the School of Nursing at the University of Salford. There is a changing culture in the university in relation to the delivery of programmes via non-traditional routes. In this context, work-based learning is a…

But I Know that Already: Rhetoric or Reality the Accreditation of Prior Experiential Learning in the Context of Work-Based Learning

ERIC Educational Resources Information Center

Scott, Ian

2010-01-01

Within the context of work-based learning, this article reviews the available evidence that supports the assumptions behind, and the claims made for the practice of accrediting prior experiential learning. Many of the claims made for accreditation of prior experiential learning (APEL) were found not to have been substantiated and some of the…

Higher Education Quality and Work-Based Learning: Two Concepts Not yet Fully Integrated

ERIC Educational Resources Information Center

Gibbs, Paul; Armsby, Pauline

2010-01-01

This short paper recognises the growth in emphasis in work-based learning as Europe moves forward on economically driven life-long learning. We support such a move and point to issues which still need to be resolved.

A Comparison and Contrast in Alternative Learning versus Traditional Learning

ERIC Educational Resources Information Center

Simmons, Mia A.

2013-01-01

Preparation for today's influenced technology professional world starts with structure of primary and secondary educational learning environments. The student learning platforms should be aligned in some ways to professional working platforms. This quantitative correlational ex post facto study compared the effectiveness of learning modalities in…

How do we learn to "kill" in volleyball?: The role of working memory capacity and expertise in volleyball motor learning.

PubMed

Bisagno, Elisa; Morra, Sergio

2018-03-01

This study examines young volleyball players' learning of increasingly complex attack gestures. The main purpose of the study was to examine the predictive role of a cognitive variable, working memory capacity (or "M capacity"), in the acquisition and development of motor skills in a structured sport. Pascual-Leone's theory of constructive operators (TCO) was used as a framework; it defines working memory capacity as the maximum number of schemes that can be simultaneously activated by attentional resources. The role of expertise in motor learning was also considered. The expertise of each athlete was assessed in terms of years of practice and number of training sessions per week. The participants were 120 volleyball players, aged between 6 and 26 years, who performed both working memory tests and practical tests of volleyball involving the execution of the "third touch" by means of technical gestures of varying difficulty. We proposed a task analysis of these different gestures framed within the TCO. The results pointed to a very clear dissociation. On the one hand, M capacity was the best predictor of correct motor performance, and a specific capacity threshold was found for learning each attack gesture. On the other hand, experience was the key for the precision of the athletic gestures. This evidence could underline the existence of two different cognitive mechanisms in motor learning. The first one, relying on attentional resources, is required to learn a gesture. The second one, based on repeated experience, leads to its automatization. Copyright © 2017 Elsevier Inc. All rights reserved.

Neurocomputing

NASA Technical Reports Server (NTRS)

Hecht-Nielsen, Robert

1990-01-01

The present work is intended to give technologists, research scientists, and mathematicians a graduate-level overview of the field of neurocomputing. After exploring the relationship of this field to general neuroscience, attention is given to neural network building blocks, the self-adaptation equations of learning laws, the data-transformation structures of associative networks, and the multilayer data-transformation structures of mapping networks. Also treated are the neurocomputing frontiers of spatiotemporal, stochastic, and hierarchical networks, 'neurosoftware', the creation of neural network-based computers, and neurocomputing applications in sensor processing, control, and data analysis.

Linking School-Based and Work-Based Learning: The Implications of LaGuardia's Co-op Seminars for School-to-Work Programs.

ERIC Educational Resources Information Center

Grubb, W. Norton; Badway, Norena

The cooperative education program at LaGuardia Community College, New York, incorporates seminars that integrate school- and work-based learning. In the seminars, students examine issues related to work in general, the organizations in which they are placed, and the ways in which their academic preparation is applied at the work site. The…

New Blended Learning Strategy Based on Flipped-Learning for Vocational Work-Linked Training

ERIC Educational Resources Information Center

El Hajji, Mohamed; El Bouzaidi, Rachid Drissi; Douzi, Hassan; Khouya, El Hassane

2016-01-01

In a changing Moroccan educational landscape, Addressing teaching development needs is becoming a major issue in vocational work-linked Training. In this context, this paper present a new blended learning strategy based on the flipped classroom, using a social learning platform as support. Through this strategy, we increased the time dedicated to…

A Practice-Based Approach to Student Reflection in the Workplace during a Work-Integrated Learning Placement

ERIC Educational Resources Information Center

Sykes, Christopher; Dean, Bonnie Amelia

2013-01-01

In the Work-Integrated Learning (WIL) curriculum, reflection on workplace activities is widely used to support student learning. Recent critiques have demonstrated the limitations of current approaches to support students' reflective learning of workplace practices. By employing a practice-based approach, we seek to refocus WIL reflection on…

Raising Retention and Achievement in Work-Based Learning

ERIC Educational Resources Information Center

Smith, Vikki

2003-01-01

Work based learning has been subject to some negative press in recent times. Particular emphasis has been given to poor inspection reports within the sector. The Raising Quality and Achievement programme of the Learning and Skills Development Agency, funded by the Learning and Skills Council as part of a grant for a programme of research and…

Improving Initial Assessment in Work-Based Learning.

ERIC Educational Resources Information Center

Green, Muriel

This document, which is designed to assist managers, trainers, or assessors in work-based provision across the United Kingdom, shares the experiences of five work-based learning providers that sought to improve their initial assessment processes. Section 1 explains the purpose of initial assessment and presents guidelines for evaluating intake…

Using a multi-state Learning Community as an implementation strategy for immediate postpartum long-acting reversible contraception.

PubMed

DeSisto, Carla L; Estrich, Cameron; Kroelinger, Charlan D; Goodman, David A; Pliska, Ellen; Mackie, Christine N; Waddell, Lisa F; Rankin, Kristin M

2017-11-21

Implementation strategies are imperative for the successful adoption and sustainability of complex evidence-based public health practices. Creating a learning collaborative is one strategy that was part of a recently published compilation of implementation strategy terms and definitions. In partnership with the Centers for Disease Control and Prevention and other partner agencies, the Association of State and Territorial Health Officials recently convened a multi-state Learning Community to support cross-state collaboration and provide technical assistance for improving state capacity to increase access to long-acting reversible contraception (LARC) in the immediate postpartum period, an evidence-based practice with the potential for reducing unintended pregnancy and improving maternal and child health outcomes. During 2015-2016, the Learning Community included multi-disciplinary, multi-agency teams of state health officials, payers, clinicians, and health department staff from 13 states. This qualitative study was conducted to better understand the successes, challenges, and strategies that the 13 US states in the Learning Community used for increasing access to immediate postpartum LARC. We conducted telephone interviews with each team in the Learning Community. Interviews were semi-structured and organized by the eight domains of the Learning Community. We coded transcribed interviews for facilitators, barriers, and implementation strategies, using a recent compilation of expert-defined implementation strategies as a foundation for coding the latter. Data analysis showed three ways that the activities of the Learning Community helped in policy implementation work: structure and accountability, validity, and preparing for potential challenges and opportunities. Further, the qualitative data demonstrated that the Learning Community integrated six other implementation strategies from the literature: organize clinician implementation team meetings, conduct educational meetings, facilitation, promote network weaving, provide ongoing consultation, and distribute educational materials. Convening a multi-state learning collaborative is a promising approach for facilitating the implementation of new reimbursement policies for evidence-based practices complicated by systems challenges. By integrating several implementation strategies, the Learning Community serves as a meta-strategy for supporting implementation.

Making a Virtue out of a Necessity: Part Time Work as a Site for Undergraduate Work-Based Learning

ERIC Educational Resources Information Center

Shaw, Sue; Ogilvie, Chrissy

2010-01-01

Purpose: This paper seeks to challenge the view that student part time employment detracts from academic attainment and presents evidence that when linked to formal undergraduate study provides rich learning experiences. It also explores the extent to which formerly accepted pre-requisites for work based learning (WBL) apply in this model and how…

Understanding Work-Related Learning: The Case of ICT Workers

ERIC Educational Resources Information Center

Gijbels, David; Raemdonck, Isabel; Vervecken, Dries; Van Herck, Jonas

2012-01-01

Purpose: A central issue in the field of workplace learning is how work-related learning can be stimulated so that a powerful learning work environment is created. This paper seeks to further enlarge understanding on this issue. Based on the demand-control-support the aim is to investigate the influence of job-characteristics on the work-related…

Work-Based Learning: In Search of an Effective Model

ERIC Educational Resources Information Center

Sobiechowska, Paula; Maisch, Maire

2006-01-01

This article draws upon 10 years of pedagogic experience in developing and delivering work-based learning programmes within the United Kingdom national social work post-qualifying framework. The article is a retrospective, reflective and thematic account of our work. It briefly outlines the history of post-qualifying social work education and…

Work-based learning experiences help students with disabilities transition to careers: a case study of University of Washington projects.

PubMed

Bellman, Scott; Burgstahler, Sheryl; Ladner, Richard

2014-01-01

This case study describes evidence-based practices employed by a collection of University of Washington projects that engage high school and postsecondary students with disabilities in work-based learning experiences such as industry and research internships, career development activities, job shadows, field trips, and mock interviews. The purpose of the article is two-fold. First, authors share best practices with others who wish to increase the participation of students with disabilities in work-based learning and thereby contribute to their academic and career success. The article discusses methods used to recruit students, employers and mentors, match students with specific opportunities, and prepare students for success. Second, authors share outcomes from studies regarding participation in these work-based learning opportunities, which include increased employment success, motivation to work toward a career, knowledge about careers and the workplace, job-related skills, ability to work with supervisors and coworkers, skills in self-advocating for accommodations, and perceived career options.

Dopamine selectively remediates 'model-based' reward learning: a computational approach.

PubMed

Sharp, Madeleine E; Foerde, Karin; Daw, Nathaniel D; Shohamy, Daphna

2016-02-01

Patients with loss of dopamine due to Parkinson's disease are impaired at learning from reward. However, it remains unknown precisely which aspect of learning is impaired. In particular, learning from reward, or reinforcement learning, can be driven by two distinct computational processes. One involves habitual stamping-in of stimulus-response associations, hypothesized to arise computationally from 'model-free' learning. The other, 'model-based' learning, involves learning a model of the world that is believed to support goal-directed behaviour. Much work has pointed to a role for dopamine in model-free learning. But recent work suggests model-based learning may also involve dopamine modulation, raising the possibility that model-based learning may contribute to the learning impairment in Parkinson's disease. To directly test this, we used a two-step reward-learning task which dissociates model-free versus model-based learning. We evaluated learning in patients with Parkinson's disease tested ON versus OFF their dopamine replacement medication and in healthy controls. Surprisingly, we found no effect of disease or medication on model-free learning. Instead, we found that patients tested OFF medication showed a marked impairment in model-based learning, and that this impairment was remediated by dopaminergic medication. Moreover, model-based learning was positively correlated with a separate measure of working memory performance, raising the possibility of common neural substrates. Our results suggest that some learning deficits in Parkinson's disease may be related to an inability to pursue reward based on complete representations of the environment. © The Author (2015). Published by Oxford University Press on behalf of the Guarantors of Brain. All rights reserved. For Permissions, please email: journals.permissions@oup.com.

IntellEditS: intelligent learning-based editor of segmentations.

PubMed

Harrison, Adam P; Birkbeck, Neil; Sofka, Michal

2013-01-01

Automatic segmentation techniques, despite demonstrating excellent overall accuracy, can often produce inaccuracies in local regions. As a result, correcting segmentations remains an important task that is often laborious, especially when done manually for 3D datasets. This work presents a powerful tool called Intelligent Learning-Based Editor of Segmentations (IntellEditS) that minimizes user effort and further improves segmentation accuracy. The tool partners interactive learning with an energy-minimization approach to editing. Based on interactive user input, a discriminative classifier is trained and applied to the edited 3D region to produce soft voxel labeling. The labels are integrated into a novel energy functional along with the existing segmentation and image data. Unlike the state of the art, IntellEditS is designed to correct segmentation results represented not only as masks but also as meshes. In addition, IntellEditS accepts intuitive boundary-based user interactions. The versatility and performance of IntellEditS are demonstrated on both MRI and CT datasets consisting of varied anatomical structures and resolutions.

WWC Quick Review of the Article "Culture and the Interaction of Student Ethnicity with Reward Structure in Group Learning" Revised

ERIC Educational Resources Information Center

What Works Clearinghouse, 2010

2010-01-01

This paper presents an updated WWC (What Works Clearinghouse) Review of the Article "Culture and the Interaction of Student Ethnicity with Reward Structure in Group Learning". The study examined the effects of different reward systems used in group learning situations on the math skills of African-American and White students. The…

How Have Concepts of Informal Learning Developed over Time?

ERIC Educational Resources Information Center

Carliner, Saul

2013-01-01

Although the current interest in informal learning seems recent, performance improvement professionals have long had an interest in informal learning-the ways that people learn outside of formal structures. The earliest forms of learning for work were informal, including de facto and formal apprenticeship programs and the "school of…

Critical and Transformative Practices in Professional Learning Communities

ERIC Educational Resources Information Center

Servage, Laura

2008-01-01

Professional learning communities (PLCs) have been held up as powerful structures for teachers' continuing professional development. In this work, the author has applied transformative learning theory to highlight the psychic risks of collaborative teacher learning, as well as the need for practical efforts to improve student learning--the means…

The Effects of Cooperative Learning on Self-Esteem: A Literature Review.

ERIC Educational Resources Information Center

Tedesco, Lucyann M.

Cooperative learning involves students working in small groups or teams to help each other learn academic material. Cooperative learning strategies are organized, highly structured methods that usually involve formal presentation of information, student practice and coaching in learning teams, individual assessment of mastery, and public…

Managing the negatives of experience in physician teams.

PubMed

Hoff, Timothy

2010-01-01

Experience is a key shaper of thought and action in the health care workplace and a fundamental component of management and professional policies dealing with improving quality of care. Physicians rely on experience to structure social interaction, to determine authority relations, and to resist organizational encroachments on their work and autonomy. However, an overreliance on experience within physician teams may paradoxically undermine learning, participation, and entrepreneurship, affecting organizational performance. Approximately 100 hours of direct observation of normal workdays for physician teams (n = 17 physicians) in two different work settings in a single academic medical center located in the Northeastern part of the United States. Qualitative data were collected from physician teams in the medical intensive care unit and trauma/general surgery settings. Data were transcribed and computer analyzed through an interactive process of open coding, theoretical sampling, and pattern recognition that proceeded longitudinally. Three particular experience-based schemas were identified that physician teams used to structure social relations and perform work. These schemas involved using experience as a commodity, trump card, and liberator. Each of these schemas consisted of strongly held norms, beliefs, and values that produced team dynamics with the potential for undermining learning, participation, and entrepreneurship in the group. Organizations may move to mitigate the negative impact of an overreliance on experience among physicians by promoting bureaucratic forms of control that enable physicians to engage learning, participation, and entrepreneurship in their work while not usurping existing and difficult-to-change cultural drivers of team behavior.

Teaching Research to MSW Students: Effectiveness of the Team-Based Learning Pedagogy

ERIC Educational Resources Information Center

Macke, Caroline; Tapp, Karen

2012-01-01

Social work students often have been labeled as research-reluctant. Consequently, it is important to identify effective teaching strategies. One innovative strategy is team-based learning. The effectiveness of team-based learning has not yet been evaluated with a social work research class. As a result, the current study compared the effectiveness…

Mentor Social Capital, Individual Agency and Working-Class Student Learning Outcomes: Revisiting the Structure/Agency Dialectic

ERIC Educational Resources Information Center

Lovett, Trevor William

2014-01-01

This investigation explores factors that contributed to the disparate learning identities of two white baby-boomer brothers from the same working-class family. The research, part of a broader phenomenological study into the influences of working-class masculinities and schooling offers an insight into the individual family members' differential…

Creating and Sustaining Online Professional Learning Communities. Technology, Education--Connections

ERIC Educational Resources Information Center

Falk, Joni K., Ed.; Drayton, Brian, Ed.

2009-01-01

This volume presents the work of trailblazing researchers and developers of electronic communities for professional learning. It illuminates the essential work behind the scenes in building successful online communities and scaffolding site interactions, including content selection, creation and management, administrative structures, tools and…

Developmental Evaluation Framework for Innovation and Learning Networks: Integration of the Structure, Process and Outcomes

ERIC Educational Resources Information Center

Ramstad, Elise

2009-01-01

Purpose: During the past decade new types of broader networks that aim to achieve widespread effects in the working life have emerged. These are typically based on an interactive innovation approach, where knowledge is created jointly together with diverse players. At the moment, the challenge is how to evaluate these complex networks and learning…

Making Work-Based Learning Work

ERIC Educational Resources Information Center

Cahill, Charlotte

2016-01-01

Americans seeking employment often face a conundrum: relevant work experience is a prerequisite for many jobs, but it is difficult to gain the required experience without being in the workplace. Work-based learning--activities that occur in workplaces through which youth and adults gain the knowledge, skills, and experience needed for entry or…

Teaching evidence-based social work in foundation practice courses: learning from pedagogical choices of allied fields.

PubMed

Traube, Dorian E; Pohle, Cara E; Barley, Melissa

2012-01-01

The field of social work is attuned to the need to incorporate evidence-based practice education into masters-level curriculum. One question remaining is how to integrate evidence-based practice in the foundation practice courses. Integration of evidence-based practice across the foundation-level curriculum coincides with the Council on Social Work Education's mandate that student's engage in research-informed practice and practice-informed research. Through a discussion of definitions, criticisms, and pedagogy across the allied fields of medicine, nursing, and social work the authors address the current status of evidence-based practice curriculum in foundation-level education. The authors incorporate the lessons learned from allied fields and a Masters of Social Work student's analyses of their experience of evidence-based practice learning to propose an adult-learner model to improve evidence-based practice pedagogy in Social Work.

Leadership for Nursing Work-Based Mobile Learning

ERIC Educational Resources Information Center

Fahlman, Dorothy

2016-01-01

This paper reflects on work-based mobile learning in the Canadian healthcare system for registered nurses' ongoing skills development and continuing professional development. It calls on distributed leadership to address the organizational contextual factors for making this mode of learning sustainable. [For the full proceedings, see ED571335.

Dopamine selectively remediates ‘model-based’ reward learning: a computational approach

PubMed Central

Sharp, Madeleine E.; Foerde, Karin; Daw, Nathaniel D.

2016-01-01

Patients with loss of dopamine due to Parkinson’s disease are impaired at learning from reward. However, it remains unknown precisely which aspect of learning is impaired. In particular, learning from reward, or reinforcement learning, can be driven by two distinct computational processes. One involves habitual stamping-in of stimulus-response associations, hypothesized to arise computationally from ‘model-free’ learning. The other, ‘model-based’ learning, involves learning a model of the world that is believed to support goal-directed behaviour. Much work has pointed to a role for dopamine in model-free learning. But recent work suggests model-based learning may also involve dopamine modulation, raising the possibility that model-based learning may contribute to the learning impairment in Parkinson’s disease. To directly test this, we used a two-step reward-learning task which dissociates model-free versus model-based learning. We evaluated learning in patients with Parkinson’s disease tested ON versus OFF their dopamine replacement medication and in healthy controls. Surprisingly, we found no effect of disease or medication on model-free learning. Instead, we found that patients tested OFF medication showed a marked impairment in model-based learning, and that this impairment was remediated by dopaminergic medication. Moreover, model-based learning was positively correlated with a separate measure of working memory performance, raising the possibility of common neural substrates. Our results suggest that some learning deficits in Parkinson’s disease may be related to an inability to pursue reward based on complete representations of the environment. PMID:26685155

The development of a primary dental care outreach course.

PubMed

Waterhouse, P; Maguire, A; Tabari, D; Hind, V; Lloyd, J

2008-02-01

The aim of this work was to develop the first north-east based primary dental care outreach (PDCO) course for clinical dental undergraduate students at Newcastle University. The process of course design will be described and involved review of the existing Bachelor of Dental Surgery (BDS) degree course in relation to previously published learning outcomes. Areas were identified where the existing BDS course did not meet fully these outcomes. This was followed by setting the PDCO course aims and objectives, intended learning outcomes, curriculum and structure. The educational strategy and methods of teaching and learning were subsequently developed together with a strategy for overall quality control of the teaching and learning experience. The newly developed curriculum was aligned with appropriate student assessment methods, including summative, formative and ipsative elements.

Monitoring of Students' Interaction in Online Learning Settings by Structural Network Analysis and Indicators.

PubMed

Ammenwerth, Elske; Hackl, Werner O

2017-01-01

Learning as a constructive process works best in interaction with other learners. Support of social interaction processes is a particular challenge within online learning settings due to the spatial and temporal distribution of participants. It should thus be carefully monitored. We present structural network analysis and related indicators to analyse and visualize interaction patterns of participants in online learning settings. We validate this approach in two online courses and show how the visualization helps to monitor interaction and to identify activity profiles of learners. Structural network analysis is a feasible approach for an analysis of the intensity and direction of interaction in online learning settings.

Complexity, Training Paradigm Design, and the Contribution of Memory Subsystems to Grammar Learning

PubMed Central

Ettlinger, Marc; Wong, Patrick C. M.

2016-01-01

Although there is variability in nonnative grammar learning outcomes, the contributions of training paradigm design and memory subsystems are not well understood. To examine this, we presented learners with an artificial grammar that formed words via simple and complex morphophonological rules. Across three experiments, we manipulated training paradigm design and measured subjects' declarative, procedural, and working memory subsystems. Experiment 1 demonstrated that passive, exposure-based training boosted learning of both simple and complex grammatical rules, relative to no training. Additionally, procedural memory correlated with simple rule learning, whereas declarative memory correlated with complex rule learning. Experiment 2 showed that presenting corrective feedback during the test phase did not improve learning. Experiment 3 revealed that structuring the order of training so that subjects are first exposed to the simple rule and then the complex improved learning. The cumulative findings shed light on the contributions of grammatical complexity, training paradigm design, and domain-general memory subsystems in determining grammar learning success. PMID:27391085

Using variability to guide dimensional weighting: Associative mechanisms in early word learning

PubMed Central

Apfelbaum, Keith S.; McMurray, Bob

2013-01-01

At 14 months, children appear to struggle to apply their fairly well developed speech perception abilities to learning similar sounding words (e.g. bih/dih; Stager & Werker, 1997). However, variability in non-phonetic aspects of the training stimuli seems to aid word learning at this age. Extant theories of early word learning cannot account for this benefit of variability. We offer a simple explanation for this range of effects based on associative learning. Simulations suggest that if infants encode both non-contrastive information (e.g. cues to speaker voice) and meaningful linguistic cues (e.g. place of articulation or voicing), then associative learning mechanisms predict these variability effects in early word learning. Crucially, this means that despite the importance of task variables in predicting performance, this body of work shows that phonological categories are still developing in this age, and that the structure of non-informative cues has critical influences on word learning abilities. PMID:21609356

School to Work Fact Sheets: Making School to Work Opportunities Happen for Youth with Disabilities.

ERIC Educational Resources Information Center

Horne, Richard L.; Thuli, Kelli J.

These six fact sheets are designed to communicate strategies for serving all youth, especially youth with disabilities, in school to work programs: (1) "Overview of the School-to-Work Opportunities Act" briefly describes this 1994 federal law and the three components of school-to-work programs: school-based learning, work-based learning,…

Making It Work: Embedding a Supported Employment Approach in Vocational Education and Training for People with Learning Difficulties

ERIC Educational Resources Information Center

Jacobsen, Yola

2010-01-01

The "Making it Work" book is for practitioners and managers working with people with learning difficulties in FE colleges, adult and community learning services, work-based learning and voluntary sector organisations. This book was produced as a result of a two-year project funded by the Department of Health. It provides information…

Organizing Project-Based Learning in Work Contexts: A Cross-Cultural Cross Analysis of Data from Two Projects

ERIC Educational Resources Information Center

Poell, Rob F.; Yorks, Lyle; Marsick, Victoria J.

2009-01-01

The authors describe research aimed at developing a more comprehensive framework for project-based learning in work contexts. This grows out of a cross-cultural reanalysis of data from two previous studies using two different frameworks: actor-centered learning network theory and a critical pragmatist lens on action reflection learning. Findings…

The Effectiveness of Project-Based Learning on Pupils with Learning Difficulties Regarding Academic Performance, Group Work and Motivation

ERIC Educational Resources Information Center

Filippatou, Diamanto; Kaldi, Stavroula

2010-01-01

This study focuses upon the effectiveness of project-based learning on primary school pupils with learning difficulties regarding their academic performance and attitudes towards self efficacy, task value, group work and teaching methods applied. The present study is a part of a larger one that included six Greek fourth-grade primary school…

Connecting the Classroom to Careers: A Comprehensive Guide to the State's Role in Work-Based Learning

ERIC Educational Resources Information Center

Advance CTE: State Leaders Connecting Learning to Work, 2016

2016-01-01

As state education agencies turn their focus to preparing students for both college and careers, work-based learning is becoming an increasingly popular strategy for students to reinforce and deepen their classroom learning, explore future career fields and demonstrate their skills in an authentic setting. While much of the hard work to identify,…

Preparation for Meaningful Work and Life: Urban High School Youth’s Reflections on Work-Based Learning 1 Year Post-Graduation

PubMed Central

Kenny, Maureen E.; Catraio, Christine; Bempechat, Janine; Minor, Kelly; Olle, Chad; Blustein, David L.; Seltzer, Joanne

2016-01-01

The challenges confronted by low-income high school students throughout school and across the transition to higher education and employment are well-documented in the US and many other nations. Adopting a positive youth development perspective (Lerner et al., 2005), this study reports findings from interviews with 18 low-income, racially and ethnically diverse graduates of an urban Catholic high school in the US. The interviews were designed to shed light on the post-high school experiences of urban high school graduates and to understand how students construct meaning about the value of school and work-based learning (WBL) in their preparation for meaningful work and life. The interviews highlight the perceived value of the academic and non-cognitive preparation students experienced through high school and WBL in relation to the challenges they encountered along the pathway to post-high school success and decent work. Overall, the findings suggest the potential of WBL for low-income youth in facilitating access to resources that build academic and psychological/non-cognitive assets, while also illustrating the role of structural and contextual factors in shaping post-high school transitions and access to meaningful work and life opportunities. PMID:26955365

Project-Based Learning as a Contributing Factor to Graduates' Work Readiness

ERIC Educational Resources Information Center

Jollands, Margaret; Jolly, Lesley; Molyneaux, Tom

2012-01-01

This paper explores what work readiness means for two cohorts of graduate engineers, one from a traditional curriculum, the second from a largely project-based curriculum. Professional bodies and employers have defined a set of attributes for engineering graduates so that graduates will be "work ready". Problem-based learning (PBL) is…

Identification of Functionally Related Enzymes by Learning-to-Rank Methods.

PubMed

Stock, Michiel; Fober, Thomas; Hüllermeier, Eyke; Glinca, Serghei; Klebe, Gerhard; Pahikkala, Tapio; Airola, Antti; De Baets, Bernard; Waegeman, Willem

2014-01-01

Enzyme sequences and structures are routinely used in the biological sciences as queries to search for functionally related enzymes in online databases. To this end, one usually departs from some notion of similarity, comparing two enzymes by looking for correspondences in their sequences, structures or surfaces. For a given query, the search operation results in a ranking of the enzymes in the database, from very similar to dissimilar enzymes, while information about the biological function of annotated database enzymes is ignored. In this work, we show that rankings of that kind can be substantially improved by applying kernel-based learning algorithms. This approach enables the detection of statistical dependencies between similarities of the active cleft and the biological function of annotated enzymes. This is in contrast to search-based approaches, which do not take annotated training data into account. Similarity measures based on the active cleft are known to outperform sequence-based or structure-based measures under certain conditions. We consider the Enzyme Commission (EC) classification hierarchy for obtaining annotated enzymes during the training phase. The results of a set of sizeable experiments indicate a consistent and significant improvement for a set of similarity measures that exploit information about small cavities in the surface of enzymes.

Reliability Analysis of Sealing Structure of Electromechanical System Based on Kriging Model

NASA Astrophysics Data System (ADS)

Zhang, F.; Wang, Y. M.; Chen, R. W.; Deng, W. W.; Gao, Y.

2018-05-01

The sealing performance of aircraft electromechanical system has a great influence on flight safety, and the reliability of its typical seal structure is analyzed by researcher. In this paper, we regard reciprocating seal structure as a research object to study structural reliability. Having been based on the finite element numerical simulation method, the contact stress between the rubber sealing ring and the cylinder wall is calculated, and the relationship between the contact stress and the pressure of the hydraulic medium is built, and the friction force on different working conditions are compared. Through the co-simulation, the adaptive Kriging model obtained by EFF learning mechanism is used to describe the failure probability of the seal ring, so as to evaluate the reliability of the sealing structure. This article proposes a new idea of numerical evaluation for the reliability analysis of sealing structure, and also provides a theoretical basis for the optimal design of sealing structure.

A Note on DeCaro, Thomas, and Beilock (2008): Further Data Demonstrate Complexities in the Assessment of Information-Integration Category Learning

ERIC Educational Resources Information Center

Tharp, Ian J.; Pickering, Alan D.

2009-01-01

DeCaro et al. [DeCaro, M. S., Thomas, R. D., & Beilock, S. L. (2008). "Individual differences in category learning: Sometimes less working memory capacity is better than more." "Cognition, 107"(1), 284-294] explored how individual differences in working memory capacity differentially mediate the learning of distinct category structures.…

On the Implications of Neuroscience Research for Science Teaching and Learning: Are There Any?

ERIC Educational Resources Information Center

Lawson, Anton E.

2006-01-01

What, if anything, do teachers need to know about how the brain works to improve teaching and learning? After all, a plumber needs to know how to stop leaks--not the molecular structure of water. And one can learn how to use a computer without knowing how a computer chip works. Likewise, teachers need to know how to help students develop…

Transforming practice organizations to foster lifelong learning and commitment to medical professionalism.

PubMed

Frankford, D M; Patterson, M A; Konrad, T R

2000-07-01

Practice organizations will increasingly engage in activities that are the functional equivalents of continuing medical education. The authors maintain that if these activities are properly structured within practice organizations, they can become powerful engines of socialization to enhance physicians' lifelong learning and commitment to medical professionalism. They propose that this promise can be realized if new or reformed practice organizations combine education and service delivery and institutionalize processes of individual and collective reflection. The resulting "institutions of reflective practice" would be ones of collegial, experiential, reflective lifelong learning concerning the technical and normative aspects of medical work. They would extend recent methods of medical education such as problem-based learning into the practice setting and draw on extant methods used in complex organizations to maximize the advantages and minimize the disadvantages that practice organizations typically present for adult learning. As such, these institutions would balance the potentially conflicting organizational needs for, on the one hand, (1) self-direction, risk taking, and creativity; (2) specialization; and (3) collegiality; and, on the other hand, (4) organizational structure, (5) coordination of division of labor, and (6) hierarchy. Overall, this institutionalization of reflective practice would enrich practice with education and education with practice, and accomplish the ideals of what the authors call "responsive medical professionalism." The medical profession would both contribute and be responsive to social values, and medical work would be valued intrinsically and as central to practitioners' self-identity and as a contribution to the public good.

Characterising Work-Based Learning as a Triadic Learning Endeavour

ERIC Educational Resources Information Center

Dalrymple, Roger; Kemp, Chris; Smith, Patrick

2014-01-01

With work-based learning (WBL) forming an increasingly prevalent dimension of modern higher education practice, conceptual models of the pedagogies underpinning WBL are increasingly emerging. There is broadening recognition of the need to capture and represent the values and presuppositions underlying WBL in order to support facilitators and…

A Deep Learning Approach for Fault Diagnosis of Induction Motors in Manufacturing

NASA Astrophysics Data System (ADS)

Shao, Si-Yu; Sun, Wen-Jun; Yan, Ru-Qiang; Wang, Peng; Gao, Robert X.

2017-11-01

Extracting features from original signals is a key procedure for traditional fault diagnosis of induction motors, as it directly influences the performance of fault recognition. However, high quality features need expert knowledge and human intervention. In this paper, a deep learning approach based on deep belief networks (DBN) is developed to learn features from frequency distribution of vibration signals with the purpose of characterizing working status of induction motors. It combines feature extraction procedure with classification task together to achieve automated and intelligent fault diagnosis. The DBN model is built by stacking multiple-units of restricted Boltzmann machine (RBM), and is trained using layer-by-layer pre-training algorithm. Compared with traditional diagnostic approaches where feature extraction is needed, the presented approach has the ability of learning hierarchical representations, which are suitable for fault classification, directly from frequency distribution of the measurement data. The structure of the DBN model is investigated as the scale and depth of the DBN architecture directly affect its classification performance. Experimental study conducted on a machine fault simulator verifies the effectiveness of the deep learning approach for fault diagnosis of induction motors. This research proposes an intelligent diagnosis method for induction motor which utilizes deep learning model to automatically learn features from sensor data and realize working status recognition.

Investigating conditions for meaningful feedback in the context of an evidence-based feedback programme.

PubMed

Voyer, Stéphane; Cuncic, Cary; Butler, Deborah L; MacNeil, Kimberley; Watling, Christopher; Hatala, Rose

2016-09-01

We developed, implemented and evaluated an evidence-based programme of feedback designed to address limitations identified in the current literature. We sought to advance understanding about how and why feedback processes might be more effective in clinical education. Three faculty members and nine first-year internal medicine residents participated in the pilot programme. To counter challenges identified in the literature, feedback was based on direct observation, grounded in longitudinal faculty-resident relationships, and devoid of summative assessment. We used a qualitative case study design to address three research questions: (i) What benefits did the participants describe? (ii) What elements of the programme facilitated these benefits? (iii) What were the limitations and challenges of the programme? Collected data included audiotapes of interactions between faculty members and residents, field notes written during observations, and semi-structured interviews and focus groups with resident participants. Data analysis moved cyclically and iteratively through inductive and deductive analysis. Residents described benefits relating to their ways of working (clinical skills), ways of learning (accountability for learning) and ways of feeling (emotional well-being). According to participants, specific elements of the programme that achieved these benefits included the direct observation of authentic clinical work, the longitudinal relationship with a faculty member and the emergence of feedback as a conversation between the faculty member and learner. We conclude that the conditions established within our pilot feedback programme influenced the learning culture for first-year internal medicine residents by grounding direct observation in authentic clinical work and setting the observations in the context of a longitudinal, non-assessment-based relationship between a faculty member and resident. These conditions appeared to influence residents' participation in the feedback process, their ways of approaching their daily clinical work, their emotional well-being and their engagement in their own learning. © 2016 John Wiley & Sons Ltd and The Association for the Study of Medical Education.

Implementation of a project-based engineering school: increasing student motivation and relevant learning

NASA Astrophysics Data System (ADS)

Terrón-López, María-José; García-García, María-José; Velasco-Quintana, Paloma-Julia; Ocampo, Jared; Vigil Montaño, María-Reyes; Gaya-López, María-Cruz

2017-11-01

The School of Engineering at Universidad Europea de Madrid (UEM) implemented, starting in the 2012-2013 period, a unified academic model based on project-based learning as the methodology used throughout the entire School. This model expects that every year, in each grade, all the students should participate in a capstone project integrating the contents and competencies of several courses. This paper presents the academic context under which this experience has been implemented, and a summary of the work done to design and implement the Project-Based Engineering School at the UEM. The steps followed, the structure used, some sample projects, as well as the difficulties and benefits of implementing the programme are discussed in this paper. The results are encouraging as students are more motivated and the initial set objectives were accomplished.

Factors Promoting Vocational Students' Learning at Work: Study on Student Experiences

ERIC Educational Resources Information Center

Virtanen, Anne; Tynjälä, Päivi; Eteläpelto, Anneli

2014-01-01

In order to promote effective pedagogical practices for students' work-based learning, we need to understand better how students' learning at work can be supported. This paper examines the factors explaining students' workplace learning (WPL) outcomes, addressing three aspects: (1) student-related individual factors, (2) social and…

A 5E Learning Cycle Approach-Based, Multimedia-Supplemented Instructional Unit for Structured Query Language

ERIC Educational Resources Information Center

Piyayodilokchai, Hongsiri; Panjaburee, Patcharin; Laosinchai, Parames; Ketpichainarong, Watcharee; Ruenwongsa, Pintip

2013-01-01

With the benefit of multimedia and the learning cycle approach in promoting effective active learning, this paper proposed a learning cycle approach-based, multimedia-supplemented instructional unit for Structured Query Language (SQL) for second-year undergraduate students with the aim of enhancing their basic knowledge of SQL and ability to apply…

Accredited work-based learning: an approach for collaboration between higher education and practice.

PubMed

Chalmers, H; Swallow, V M; Miller, J

2001-11-01

This article discusses the experience of creating a programme of accredited work based learning (AWBL) for emergency nurse practitioners (ENPs) who work in an Accident and Emergency (A&E) Department in the North East of England. The initiative highlighted the challenges of collaboration with purchasers of education and with professional colleagues, other than nurses. Accredited work-based learning was seen to be an appropriate means of supporting ENP role development. Some of the drivers of the development were: the need for a rapid response to wide ranging changes in the health service; the need to ensure rigour in the quality of both education and health care; to enable participants to engage in role development with appropriate skills, confidence and competence; and to ensure that the learning programme had parity in its design with conventional university based learning. The aim was to collaborate in the creation of learning which was relevant to the Trust's drive to improve patient care which accommodated the nurses' common and individual learning needs and offered academically recognized learning opportunities in tune with the post-Dearing ethos in higher education. This aim was reached and included a great deal of learning on the part of the collaborating partners. Copyright 2001 Harcourt Publishers Ltd.

Learning To Compete.

ERIC Educational Resources Information Center

National Advisory Commission on Work-Based Learning (DOL), Washington, DC.

The National Advisory Commission on Work-Based Learning worked to identify practical steps that the Labor Department could take to help increase the skill levels of the U.S. work force and expand work-based training. The findings gained from a series of roundtables and further studies were synthesized into a set of recommendations in five major…

Exploring the opinions of registered nurses working in a clinical transfusion environment on the contribution of e-learning to personal learning and clinical practice: results of a small scale educational research study.

PubMed

Cottrell, Susan; Donaldson, Jayne H

2013-05-01

To explore the opinions of registered nurses on the Learnbloodtransfusion Module 1: Safe Transfusion Practice e-learning programme to meeting personal learning styles and learning needs. A qualitative research methodology was applied based on the principles of phenomenology. Adopting a convenience sampling plan supported the recruitment of participants who had successfully completed the e-learning course. Thematic analysis from the semi-structured interviews identified common emerging themes through application of Colaizzis framework. Seven participants of total sample population (89) volunteered to participate in the study. Five themes emerged which included learning preferences, interactive learning, course design, patient safety and future learning needs. Findings positively show the e-learning programme captures the learning styles and needs of learners. In particular, learning styles of a reflector, theorist and activist as well as a visual learner can actively engage in the online learning experience. In an attempt to bridge the knowledge practice gap, further opinions are offered on the course design and the application of knowledge to practice following completion of the course. The findings of the small scale research study have shown that the e-learning course does meet the diverse learning styles and needs of nurses working in a clinical transfusion environment. However, technology alone is not sufficient and a blended approach to learning must be adopted to meet bridging the theory practice gap supporting the integration of knowledge to clinical practice. Copyright © 2013 Elsevier Ltd. All rights reserved.

Teams as a Learning Forum for Accounting Professionals.

ERIC Educational Resources Information Center

Kleinman, Gary; Siegel, Philip; Eckstein, Claire

2002-01-01

Hierarchical regression and structural equation modeling of data from 440 accountants found that social interaction in work teams fosters individual, organizational, and team learning. Organizational and personal learning mediated the relationship between team social interaction processes and the attitudinal outcomes, but team learning did not.…

Creative teaching method as a learning strategy for student midwives: A qualitative study.

PubMed

Rankin, Jean; Brown, Val

2016-03-01

Traditional ways of teaching in Higher Education are enhanced with adult-based approaches to learning within the curriculum. Adult-based learning enables students to take ownership of their own learning, working in independence using a holistic approach. Introducing creative activities promotes students to think in alternative ways to the traditional learning models. The study aimed to explore student midwives perceptions of a creative teaching method as a learning strategy. A qualitative design was used adopting a phenomenological approach to gain the lived experience of students within this learning culture. Purposive sampling was used to recruit student midwives (n=30). Individual interviews were conducted using semi-structured interviews with open-ended questions to gain subjective information. Data were transcribed and analyzed into useful and meaningful themes and emerging themes using Colaizzi's framework for analyzing qualitative data in a logical and systematic way. Over 500 meaningful statements were identified from the transcripts. Three key themes strongly emerged from the transcriptions. These included'meaningful learning','inspired to learn and achieve', and 'being connected'. A deep meaningful learning experience was found to be authentic in the context of theory and practice. Students were inspired to learn and achieve and positively highlighted the safe learning environment. The abilities of the facilitators were viewed positively in supporting student learning. This approach strengthened the relationships and social engagement with others in the peer group and the facilitators. On a less positive note, tensions and conflict were noted in group work and indirect negative comments about the approach from the teaching team. Incorporating creative teaching activities is a positive addition to the healthcare curriculum. Creativity is clearly an asset to the range of contemporary learning strategies. In doing so, higher education will continue to keep abreast of the needs of graduating students in a complex and rapidly changing professional environment. Copyright © 2015 Elsevier Ltd. All rights reserved.

The Adolescent Mentalization-based Integrative Treatment (AMBIT) approach to outcome evaluation and manualization: adopting a learning organization approach.

PubMed

Fuggle, Peter; Bevington, Dickon; Cracknell, Liz; Hanley, James; Hare, Suzanne; Lincoln, John; Richardson, Garry; Stevens, Nina; Tovey, Heather; Zlotowitz, Sally

2015-07-01

AMBIT (Adolescent Mentalization-Based Integrative Treatment) is a developing team approach to working with hard-to-reach adolescents. The approach applies the principle of mentalization to relationships with clients, team relationships and working across agencies. It places a high priority on the need for locally developed evidence-based practice, and proposes that outcome evaluation needs to be explicitly linked with processes of team learning using a learning organization framework. A number of innovative methods of team learning are incorporated into the AMBIT approach, particularly a system of web-based wiki-formatted AMBIT manuals individualized for each participating team. The paper describes early development work of the model and illustrates ways of establishing explicit links between outcome evaluation, team learning and manualization by describing these methods as applied to two AMBIT-trained teams; one team working with young people on the edge of care (AMASS - the Adolescent Multi-Agency Support Service) and another working with substance use (CASUS - Child and Adolescent Substance Use Service in Cambridgeshire). Measurement of the primary outcomes for each team (which were generally very positive) facilitated team learning and adaptations of methods of practice that were consolidated through manualization. © The Author(s) 2014.

Practice-based learning and improvement.

PubMed

Moore, Donald E; Pennington, Floyd C

2003-01-01

Workplace learning is becoming increasingly important in all fields. While workplace learning in medicine, also called practice-based learning and improvement (PBLI) is not new, understanding how it works and how it fits with an individual physician's continuing professional development is new. In this article, we describe seven issues associated with PBLI and then pose questions for reflections, as continuing medical education (CME) planners consider working with PBLI.

Project-based learning as a contributing factor to graduates' work readiness

NASA Astrophysics Data System (ADS)

Jollands, Margaret; Jolly, Lesley; Molyneaux, Tom

2012-05-01

This paper explores what work readiness means for two cohorts of graduate engineers, one from a traditional curriculum, the second from a largely project-based curriculum. Professional bodies and employers have defined a set of attributes for engineering graduates so that graduates will be 'work ready'. Problem-based learning (PBL) is claimed to be a suitable approach to develop such skills. The graduates were interviewed some months after starting work, along with their managers. All the graduates recognised the benefits of taking PBL subjects as well as vacation work, with success in communication attributed more to PBL. Both cohorts had similar learning outcomes, high skill levels in project management, problem solving, communication skills, research and sustainability. A skills gap in ethics was identified for both cohorts of graduates and their managers. Further work is planned to link skill development with undergraduate learning experience.

Challenges Implementing Work-Integrated Learning in Human Resource Management University Courses

ERIC Educational Resources Information Center

Rook, Laura

2017-01-01

The examination of work-integrated learning (WIL) programs in the undergraduate Human Resource Management (HRM) curriculum is an area under-represented in the Australian literature. This paper identifies the challenges faced in implementing WIL into the HRM undergraduate curriculum. Qualitative semi-structured interviews were conducted with 38…

Exploring social structure effect on language evolution based on a computational model

NASA Astrophysics Data System (ADS)

Gong, Tao; Minett, James; Wang, William

2008-06-01

A compositionality-regularity coevolution model is adopted to explore the effect of social structure on language emergence and maintenance. Based on this model, we explore language evolution in three experiments, and discuss the role of a popular agent in language evolution, the relationship between mutual understanding and social hierarchy, and the effect of inter-community communications and that of simple linguistic features on convergence of communal languages in two communities. This work embodies several important interactions during social learning, and introduces a new approach that manipulates individuals' probabilities to participate in social interactions to study the effect of social structure. We hope it will stimulate further theoretical and empirical explorations on language evolution in a social environment.

Structured prediction models for RNN based sequence labeling in clinical text.

PubMed

Jagannatha, Abhyuday N; Yu, Hong

2016-11-01

Sequence labeling is a widely used method for named entity recognition and information extraction from unstructured natural language data. In clinical domain one major application of sequence labeling involves extraction of medical entities such as medication, indication, and side-effects from Electronic Health Record narratives. Sequence labeling in this domain, presents its own set of challenges and objectives. In this work we experimented with various CRF based structured learning models with Recurrent Neural Networks. We extend the previously studied LSTM-CRF models with explicit modeling of pairwise potentials. We also propose an approximate version of skip-chain CRF inference with RNN potentials. We use these methodologies for structured prediction in order to improve the exact phrase detection of various medical entities.

Structured prediction models for RNN based sequence labeling in clinical text

PubMed Central

Jagannatha, Abhyuday N; Yu, Hong

2016-01-01

Sequence labeling is a widely used method for named entity recognition and information extraction from unstructured natural language data. In clinical domain one major application of sequence labeling involves extraction of medical entities such as medication, indication, and side-effects from Electronic Health Record narratives. Sequence labeling in this domain, presents its own set of challenges and objectives. In this work we experimented with various CRF based structured learning models with Recurrent Neural Networks. We extend the previously studied LSTM-CRF models with explicit modeling of pairwise potentials. We also propose an approximate version of skip-chain CRF inference with RNN potentials. We use these methodologies1 for structured prediction in order to improve the exact phrase detection of various medical entities. PMID:28004040

Three Forms of the Knowledge Economy: Learning, Creativity and Openness

ERIC Educational Resources Information Center

Peters, Michael A.

2010-01-01

This paper outlines and reviews three forms and associated discourses of the "knowledge economy": the "learning economy", based on the work of Bengt-Ake Lundvall; the "creative economy" based on the work of Charles Landry, John Howkins and Richard Florida; and the "open knowledge economy" based on the work of Yochai Benkler and others. Arguably,…

Work-Based Learning Opportunities for High School Students

ERIC Educational Resources Information Center

Alfeld, Corinne; Charner, Ivan; Johnson, Lisa; Watts, Eric

2013-01-01

This report describes the Year 5 work of the National Research Center for Career and Technical Education's (NRCCTE) Technical Assistance (TA) Academy. In 2011-2012, the TA plan carried out by FHI 360 on behalf of the NRCCTE focused on developing a conceptual base for work-based learning (WBL), a strategy that helps students apply academic and…

Work-Based Learning: Finding a New Niche.

ERIC Educational Resources Information Center

Johnston, George H.

2001-01-01

Describes how a new manufacturing technology program at one college, seeking to use work-based learning extensively, has addressed success factors identified in a national study of exemplary programs. (Contains 10 references.) (AUTH/NB)

Mapping the Proxies of Memory and Learning Function in Senior Adults with High-performing, Normal Aging and Neurocognitive Disorders.

PubMed

Lu, Hanna; Xi, Ni; Fung, Ada W T; Lam, Linda C W

2018-06-09

Memory and learning, as the core brain function, shows controversial results across studies focusing on aging and dementia. One of the reasons is because of the multi-faceted nature of memory and learning. However, there is still a dearth of comparable proxies with psychometric and morphometric portrait in clinical and non-clinical populations. We aim to investigate the proxies of memory and learning function with direct and derived measures and examine their associations with morphometric features in senior adults with different cognitive status. Based on two modality-driven tests, we assessed the component-specific memory and learning in the individuals with high performing (HP), normal aging, and neurocognitive disorders (NCD) (n = 488). Structural magnetic resonance imaging was used to measure the regional cortical thickness with surface-based morphometry analysis in a subsample (n = 52). Compared with HP elderly, the ones with normal aging and minor NCD showed declined recognition memory and working memory, whereas had better learning performance (derived scores). Meanwhile, major NCD patients showed more breakdowns of memory and learning function. The correlation between proxies of memory and learning and cortical thickness exhibited the overlapped and unique neural underpinnings. The proxies of memory and learning could be characterized by component-specific constructs with psychometric and morphometric bases. Overall, the constructs of memory are more likely related to the pathological changes, and the constructs of learning tend to reflect the cognitive abilities of compensation.

Better Categorizing Misconceptions Using a Contemporary Cognitive Science Lens

NASA Astrophysics Data System (ADS)

Slater, S. J.; Slater, T. F.

2013-12-01

Much of the last three decades of discipline-based education research in the geosciences has focused on the important work of identifying the range and domain of misconceptions students bring into undergraduate science survey courses. Pinpointing students' prior knowledge is a cornerstone for developing constructivist approaches and learning environments for effective teaching. At the same time, the development of a robust a priori formula for professors to use in mitigating students' misconceptions remains elusive. An analysis of the literature and our own research has persuaded researchers at the CAPER Center for Astronomy & Physics Education Research to put forth a model that will allow professors to operate on students' various learning difficulties in a more productive manner. Previously, much of the field's work binned erroneous student thinking into a single construct, and from that basis, curriculum developers and instructors addressed student misconceptions with a single instructional strategy. In contrast, we propose a model based on the notion that 'misconceptions' are a mixture of at least four learning barriers: incorrect factual information, inappropriately applied mental algorithms (phenomenological primitives), insufficient cognitive structures (e.g. spatial reasoning), and affective/emotional difficulties (e.g. students' spiritual commitments). In this sense, each of these different types of learning barriers would be more effectively addressed with an instructional strategy purposefully targeting these different attributes. Initial applications of this model to learning problems in geosciences have been fruitful, suggesting that an effort towards categorizing persistent learning difficulties in the geosciences beyond the single generalized category of 'misconceptions' might allow our community to more effectively design learning experiences for our students and the general public

General cognitive principles for learning structure in time and space.

PubMed

Goldstein, Michael H; Waterfall, Heidi R; Lotem, Arnon; Halpern, Joseph Y; Schwade, Jennifer A; Onnis, Luca; Edelman, Shimon

2010-06-01

How are hierarchically structured sequences of objects, events or actions learned from experience and represented in the brain? When several streams of regularities present themselves, which will be learned and which ignored? Can statistical regularities take effect on their own, or are additional factors such as behavioral outcomes expected to influence statistical learning? Answers to these questions are starting to emerge through a convergence of findings from naturalistic observations, behavioral experiments, neurobiological studies, and computational analyses and simulations. We propose that a small set of principles are at work in every situation that involves learning of structure from patterns of experience and outline a general framework that accounts for such learning. (c) 2010 Elsevier Ltd. All rights reserved.

Evaluating Experiential Learning in the Business Context: Contributions to Group-Based and Cross-Functional Working

ERIC Educational Resources Information Center

Piercy, Niall

2013-01-01

The use of experiential learning techniques has become popular in business education. Experiential learning approaches offer major benefits for teaching contemporary management practices such as cross-functional and team-based working. However, there remains relatively little empirical data on the success of experiential pedagogies in supporting…

Undergraduate Social Work Students' Perceptions of a Team-Based Learning Approach to Exploring Adult Development

ERIC Educational Resources Information Center

Watkins, Karen; Forge, Nicholas; Lewinson, Terri; Garner, Brittany; Carter, Larance D.; Greenwald, Lindsay

2018-01-01

Social work educators are challenged to adopt innovative instructional methods and pedagogies to prepare students to meet the contemporary needs of diverse client populations. A team-based learning (TBL) approach is a pedagogical strategy that utilizes cooperative and collaborative learning principles to inspire academic, professional, and…

Utilizing Technology for Professional Learning in the Dissemination of Evidence-Based Practices to Paraprofessionals Working in Public Education

ERIC Educational Resources Information Center

Wright, Patricia I.; Prescott, Rosalind

2018-01-01

Although paraprofessionals are pivotal for the educational success of learners with autism, limited professional learning opportunities are provided resulting in inadequate application of evidence-based practices in their work. In this participatory action research study, thirty-six paraprofessionals participated in professional learning utilizing…

Life History Methodologies: An Investigation into Work-Based Learning Experiences of Community Education Workers

ERIC Educational Resources Information Center

Issler, Sally; Nixon, David

2007-01-01

This article focuses on an investigation into the learning journeys undertaken by managers of a community education project in an area of urban deprivation. A constructivist interpretation of life history narrative revealed the positive effects of community workers' heavy dependence on experiential work-based learning, which resulted in the…

Using MBTI for the Success Assessment of Engineering Teams in Project-Based Learning

ERIC Educational Resources Information Center

Rodríguez Montequín, V.; Mesa Fernández, J. M.; Balsera, J. Villanueva; García Nieto, A.

2013-01-01

Project-Based Learning (PBL) is a teaching and learning methodology that emphasizes student centered instruction by assigning projects. The students have to conduct significant projects and cope with realistic working conditions and scenarios. PBL is generally done by groups of students working together towards a common goal. Several factors play…

Knowledge Acquisition at Work. IEE Brief Number 2.

ERIC Educational Resources Information Center

Scribner, Sylvia; Sachs, Patricia

An exploratory investigation attempted to determine how learning at work actually takes place and in what ways learning on the job differs from classroom learning. The study was based on extensive observations and interviews over a 5-year period at two manufacturing plants that implemented a computer-based system known as Manufacturing Resource…

Investigating Learning through Work: What the Literature Says. Support Document

ERIC Educational Resources Information Center

Chappell, Clive; Hawke, Geof

2008-01-01

This Support Document was produced by the authors based on their research for the report, "Investigating Learning through Work: The Development of the 'Provider Learning Environment Scale'" (ED503392). While couched in very different terms, the analysis presented in this report points to a substantial overlap in the conceptual bases that…

Guided Work-Based Learning: Sharing Practical Teaching Knowledge with Student Teachers

ERIC Educational Resources Information Center

van Velzen, Corinne; Volman, Monique; Brekelmans, Mieke; White, Simone

2012-01-01

Building quality work-based learning opportunities for student teachers is a challenge for schools in school-university partnerships. This study focused on the guidance of student teachers by means of a mentoring approach aimed at sharing practical knowledge, with student teachers' learning needs as an emphasis. The approach was built on…

Co-op students' access to shared knowledge in science-rich workplaces

NASA Astrophysics Data System (ADS)

Munby, Hugh; Taylor, Jennifer; Chin, Peter; Hutchinson, Nancy L.

2007-01-01

Wenger's (1998) concepts community of practice, brokering, and transfer explain the challenges co-operative (co-op) education students face in relating the knowledge learned in school with what they learn while participating as members of a workplace. The research for this paper is set within the contexts of the knowledge economy and increased collaboration in the workplace. The paper draws on several qualitative studies of work-based education to examine the similarities and differences between learning in the workplace and learning in school, with a focus on science education and science-rich workplaces. Barriers to connecting school knowledge and workplace knowledge include the nature of science (its purpose, accountability, and substance), the structure of knowledge in each setting, the form content knowledge takes, the sequence that the curriculum is presented in, and the gatekeeping that occurs when knowledge is accessed. The paper addresses implications for interventions in school and the workplace, with attention to the transition from school to work, and concludes by pointing to profound obstacles to connecting school knowledge with workplace knowledge.

The Experimental Research on E-Learning Instructional Design Model Based on Cognitive Flexibility Theory

NASA Astrophysics Data System (ADS)

Cao, Xianzhong; Wang, Feng; Zheng, Zhongmei

The paper reports an educational experiment on the e-Learning instructional design model based on Cognitive Flexibility Theory, the experiment were made to explore the feasibility and effectiveness of the model in promoting the learning quality in ill-structured domain. The study performed the experiment on two groups of students: one group learned through the system designed by the model and the other learned by the traditional method. The results of the experiment indicate that the e-Learning designed through the model is helpful to promote the intrinsic motivation, learning quality in ill-structured domains, ability to resolve ill-structured problem and creative thinking ability of the students.

Infant Statistical-Learning Ability Is Related to Real-Time Language Processing

ERIC Educational Resources Information Center

Lany, Jill; Shoaib, Amber; Thompson, Abbie; Estes, Katharine Graf

2018-01-01

Infants are adept at learning statistical regularities in artificial language materials, suggesting that the ability to learn statistical structure may support language development. Indeed, infants who perform better on statistical learning tasks tend to be more advanced in parental reports of infants' language skills. Work with adults suggests…

Representations for Semantic Learning Webs: Semantic Web Technology in Learning Support

ERIC Educational Resources Information Center

Dzbor, M.; Stutt, A.; Motta, E.; Collins, T.

2007-01-01

Recent work on applying semantic technologies to learning has concentrated on providing novel means of accessing and making use of learning objects. However, this is unnecessarily limiting: semantic technologies will make it possible to develop a range of educational Semantic Web services, such as interpretation, structure-visualization, support…

Learning New Grammatical Structures in Task-Based Language Learning: The Effects of Recasts and Prompts

ERIC Educational Resources Information Center

Van de Guchte, Marrit; Braaksma, Martine; Rijlaarsdam, Gert; Bimmel, Peter

2015-01-01

In the present study, we examine the effects of prompts and recasts on the acquisition of two new and different grammar structures in a task-based learning environment. Sixty-four 14-year-old 9th grade students (low intermediate) learning German as a foreign language were randomly assigned to three conditions: two experimental groups (one…

Automatic detection of anatomical regions in frontal x-ray images: comparing convolutional neural networks to random forest

NASA Astrophysics Data System (ADS)

Olory Agomma, R.; Vázquez, C.; Cresson, T.; De Guise, J.

2018-02-01

Most algorithms to detect and identify anatomical structures in medical images require either to be initialized close to the target structure, or to know that the structure is present in the image, or to be trained on a homogeneous database (e.g. all full body or all lower limbs). Detecting these structures when there is no guarantee that the structure is present in the image, or when the image database is heterogeneous (mixed configurations), is a challenge for automatic algorithms. In this work we compared two state-of-the-art machine learning techniques in order to determine which one is the most appropriate for predicting targets locations based on image patches. By knowing the position of thirteen landmarks points, labelled by an expert in EOS frontal radiography, we learn the displacement between salient points detected in the image and these thirteen landmarks. The learning step is carried out with a machine learning approach by exploring two methods: Convolutional Neural Network (CNN) and Random Forest (RF). The automatic detection of the thirteen landmarks points in a new image is then obtained by averaging the positions of each one of these thirteen landmarks estimated from all the salient points in the new image. We respectively obtain for CNN and RF, an average prediction error (both mean and standard deviation in mm) of 29 +/-18 and 30 +/- 21 for the thirteen landmarks points, indicating the approximate location of anatomical regions. On the other hand, the learning time is 9 days for CNN versus 80 minutes for RF. We provide a comparison of the results between the two machine learning approaches.

Computer-Based Learning of Geometry from Integrated and Split-Attention Worked Examples: The Power of Self-Management

ERIC Educational Resources Information Center

Tindall-Ford, Sharon; Agostinho, Shirley; Bokosmaty, Sahar; Paas, Fred; Chandler, Paul

2015-01-01

This research investigated the viability of learning by self-managing split-attention worked examples as an alternative to learning by studying instructor-managed integrated worked examples. Secondary school students learning properties of angles on parallel lines were taught to integrate spatially separated text and diagrammatic information by…

Problem Based Learning in Science

ERIC Educational Resources Information Center

Pepper, Coral

2009-01-01

Problem based learning (PBL) is a recognised teaching and learning strategy used to engage students in deep rather than surface learning. It is also viewed as a successful strategy to align university courses with the real life professional work students are expected to undertake on graduation (Biggs, 2003). Problem based learning is practised…

Commitment-Based Learning of Hidden Linguistic Structures

ERIC Educational Resources Information Center

Akers, Crystal Gayle

2012-01-01

Learners must simultaneously learn a grammar and a lexicon from observed forms, yet some structures that the grammar and lexicon reference are unobservable in the acoustic signal. Moreover, these "hidden" structures interact: the grammar maps an underlying form to a particular interpretation. Learning one structure depends on learning…

Computer-based learning of spelling skills in children with and without dyslexia.

PubMed

Kast, Monika; Baschera, Gian-Marco; Gross, Markus; Jäncke, Lutz; Meyer, Martin

2011-12-01

Our spelling training software recodes words into multisensory representations comprising visual and auditory codes. These codes represent information about letters and syllables of a word. An enhanced version, developed for this study, contains an additional phonological code and an improved word selection controller relying on a phoneme-based student model. We investigated the spelling behavior of children by means of learning curves based on log-file data of the previous and the enhanced software version. First, we compared the learning progress of children with dyslexia working either with the previous software (n = 28) or the adapted version (n = 37). Second, we investigated the spelling behavior of children with dyslexia (n = 37) and matched children without dyslexia (n = 25). To gain deeper insight into which factors are relevant for acquiring spelling skills, we analyzed the influence of cognitive abilities, such as attention functions and verbal memory skills, on the learning behavior. All investigations of the learning process are based on learning curve analyses of the collected log-file data. The results evidenced that those children with dyslexia benefit significantly from the additional phonological cue and the corresponding phoneme-based student model. Actually, children with dyslexia improve their spelling skills to the same extent as children without dyslexia and were able to memorize phoneme to grapheme correspondence when given the correct support and adequate training. In addition, children with low attention functions benefit from the structured learning environment. Generally, our data showed that memory sources are supportive cognitive functions for acquiring spelling skills and for using the information cues of a multi-modal learning environment.

Problem-Based Learning in Social Work Education: Students' Experiences in Denmark

ERIC Educational Resources Information Center

Monrad, Merete; Mølholt, Anne-Kirstine

2017-01-01

Problem-based learning (PBL) constitutes a promising way of integrating academia and social work practice because PBL fosters engagement with real-life problems and enhances important skills needed in social work practice. However, little attention has been given to social work students' experiences of PBL. In this article we address this gap by…

A Qualitative Inquiry of the Roles, Responsibilities, and Relationships within Work-Based Learning Supervision

ERIC Educational Resources Information Center

Kenny, Maureen E.; Medvide, Mary Beth; Minor, Kelly A.; Walsh-Blair, Lynn Y.; Bempechat, Janine; Seltzer, Joanne M. Ruane; Blustein, David L.

2015-01-01

Although meaningful work experience and the support of caring adults are recognized as factors that promote positive youth development, research has given minimal attention to the role of the work-based learning (WBL) supervisor. Interviews with 12 supervisors, from work sites that were identified as successful by leaders from a Catholic high…

What works in genomics education: outcomes of an evidenced-based instructional model for community-based physicians.

PubMed

Reed, E Kate; Johansen Taber, Katherine A; Ingram Nissen, Therese; Schott, Suzanna; Dowling, Lynn O; O'Leary, James C; Scott, Joan A

2016-07-01

Education of practicing health professionals is likely to be one factor that will speed appropriate integration of genomics into routine clinical practice. Yet many health professionals, including physicians, find it difficult to keep up with the rapid pace of clinical genomic advances and are often uncomfortable using genomic information in practice. Having identified the genomics educational needs of physicians in a Silicon Valley-area community hospital, we developed, implemented, and evaluated an educational course entitled Medicine's Future: Genomics for Practicing Doctors. The course structure and approach were based on best practices in adult learning, including interactivity, case-based learning, skill-focused objectives, and sequential monthly modules. Approximately 20-30 physicians attended each module. They demonstrated significant gains in genomics knowledge and confidence in practice skills that were sustained throughout and following the course. Six months following the course, the majority of participants reported that they had changed their practice to incorporate skills learned during the course. We believe the adult-learning principles underlying the development and delivery of Medicine's Future were responsible for participants' outcomes. These principles form a model for the development and delivery of other genomics educational programs for health professionals.Genet Med 18 7, 737-745.

Cognitive structure and the affective domain: on knowing and feeling in biology

NASA Astrophysics Data System (ADS)

Thompson, Tressa L.; Mintzes, Joel J.

2002-06-01

This cross-age study explored the structural complexity and propositional validity of knowledge about and attitudes toward sharks, and the relationships among knowledge and attitudes. Responses were elicited from a convenience sample of students (5th, 8th and 11th grade, and college level) and senior citizens (n = 238). All subjects constructed a concept map on sharks and responded to a Likert-type attitude inventory. Based on the work of Novak and Gowin (Leaning How to Learn, Cambridge University Press, 1984), concept maps were scored for frequencies of non-redundant concepts and scientifically valid relationships, levels of hierarchy, incidence of branching and number of crosslinks. The attitude inventory, emerging from Kellert's (The Value of Life: Biological Diversity and Human Society, Island Press, 1996) work, generated subscale scores on four affective dimensions: scientific, naturalistic, moralistic and utilitarian/negative. Significant differences were found among subject groups on all knowledge structure variables and attitudinal dimensions. Gender differences were documented on three of four attitude subscales. A series of simple, mulitiple and canonical correlations revealed moderately strong relationships between knowledge structure variables and attitudinal dimensions. The pattern of these relationships supports conservation education efforts and instructional practices that encourage meaningful learning, knowledge restructuring and conceptual change (Mintzes et al., Assessing Science Understanding: A Human Constructivist View, Academic Press, 2000).

Problem-Based Learning and Structural Redesign in a Choral Methods Course

ERIC Educational Resources Information Center

Freer, Patrick

2017-01-01

This article describes the process of structural redesign of an undergraduate music education choral methods course. A framework incorporating Problem-based Learning was developed to promote individualized student learning. Ten students participated in the accompanying research study, contributing an array of written and spoken comments as well as…

A randomized trial of two e-learning strategies for teaching substance abuse management skills to physicians.

PubMed

Harris, John M; Sun, Huaping

2013-09-01

To compare the educational effectiveness of two virtual patient (VP)-based e-learning strategies, versus no training, in improving physicians' substance abuse management knowledge, attitudes, self-reported behaviors, and decision making. The 2011-2012 study was a posttest-only, three-arm, randomized controlled trial in 90 resident and 30 faculty physicians from five adult medicine primary care training programs. The intervention was one of two 2-hour VP-based e-learning programs, designed by national experts to teach structured screening, brief interventions, referral, and treatment skills. One used traditional problem solving with feedback (unworked example), and the other incorporated an expert demonstration first, followed by problem solving with feedback (worked example). The main outcome measure was performance on the Physicians' Competence in Substance Abuse Test (P-CSAT, maximum score = 315), a self-administered, previously validated measure of physicians' competence in managing substance abuse. The survey was completed at the outset of the study and two months later. Overall P-CSAT scores were virtually identical (202-211, P > .05) between both intervention groups and the no-training control group at both times. Average faculty P-CSAT scores (221.9, 224.6) were significantly higher (P < .01) than resident scores (203.7, 202.5) at both times. This study did not provide evidence that a brief, worked example, VP-based e-learning program or a traditional, unworked, VP-based e-learning program was superior to no training in improving physicians' substance abuse management skills. The study did provide additional evidence that the P-CSAT distinguishes between physicians who should possess different levels of substance abuse management skills.

Making Learning and Web 2.0 Technologies Work for Higher Learning Institutions in Africa

ERIC Educational Resources Information Center

Lwoga, Edda

2012-01-01

Purpose: This paper seeks to assess the extent to which learning and Web 2.0 technologies are utilised to support learning and teaching in Africa's higher learning institutions, with a specific focus on Tanzania's public universities. Design/methodology/approach: A combination of content analysis and semi-structured interviews was used to collect…

Study and reflections on the functional and organizational role of neuromessenger nitric oxide in learning: An artificial and biological approach

NASA Astrophysics Data System (ADS)

Suárez Araujo, C. P.

2000-05-01

We present in this work a theoretical and conceptual study and some reflections on a fundamental aspect concerning with the structure and brain function: the Cellular Communication. The main interests of our study are the signal transmission mechanisms and the neuronal mechanisms responsible to learning. We propose the consideration of a new kind of communication mechanisms, different to the synaptic transmission, "Diffusion or Volume Transmission." This new alternative is based on a diffusing messenger as nitric oxide (NO). Our study aims towards the design of a conceptual framework, which covers implications of NO in the artificial neural networks (ANNs), both in neural architecture and learning processing. This conceptual frame might be able to provide possible biological support for many aspects of ANNs and to generate new concepts to improve the structure and operation of them. Some of these new concepts are The Fast Diffusion Neural Propagation (FDNP), the Diffuse Neighborhood (DNB), (1), the Diffusive Hybrid Neuromodulation (DHN), the Virtual Weights. Finally we will propose a new mathematical formulation for the Hebb learning law, taking into account the NO effect. Along the same lines, we will reflect on the possibility of a new formal framework for learning processes in ANNs, which consist of slow and fast learning concerning with co-operation between the classical neurotransmission and FDNP. We will develop this work from a computational neuroscience point of view, proposing a global study framework of diffusion messenger NO (GSFNO), using a hybrid natural/artificial approach. Finally it is important to note that we can consider this paper the first paper of a set of scientific work on nitric oxide (NO) and artificial neural networks (ANNs): NO and ANNs Series. We can say that this paper has a character of search and query on both subjects their implications and co-existence.

eLearning in education and advanced training in neuroradiology: introduction of a web-based teaching and learning application.

PubMed

Zajaczek, J E W; Götz, F; Kupka, T; Behrends, M; Haubitz, B; Donnerstag, F; Rodt, T; Walter, G F; Matthies, H K; Becker, H

2006-09-01

New information technologies offer the possibility of major improvements in the professional education and advanced training of physicians. The web-based, multimedia teaching and learning application Schoolbook has been created and utilized for neuroradiology. Schoolbook is technically based as a content management system and is realized in a LAMP environment. The content is generated with the help of the developed system and stored in a database. The layout is defined by a PHP application, and the webpages are generated from the system. Schoolbook is realized as an authoring tool so that it can be integrated into daily practice. This enables the teacher to autonomously process the content into the web-based application which is used for lectures, seminars and self-study. A multimedia case library is the central building block of Schoolbook for neuroradiology, whereby the learner is provided with original diagnostic and therapeutic data from numerous individual cases. The user can put individual emphasis on key learning points as there are various ways to work with the case histories. Besides the case-based way of teaching and learning, a systematically structured way of dealing with the content is available. eLearning offers various opportunities for teaching and learning in academic and scientific as well as in economic contexts. Web-based applications such as Schoolbook may be beneficial not only for basic university education but also for the realization of international educational programmes such as the European Master of Medical Science with a major in neuroradiology.

Development of Learning Resources to Promote Knowledge Sharing in Problem Based Learning

ERIC Educational Resources Information Center

Uden, Lorna; Page, Tom

2008-01-01

Problem Based Learning offers many benefits to students' learning, however, the design and implementation of effective problem based learning (PBL) is not trivial. Central to effective implementation of PBL are the problem design and group working of the students. Design of good problems requires that the learning outcomes of the subject are…

Teaching mathematical word problem solving: the quality of evidence for strategy instruction priming the problem structure.

PubMed

Jitendra, Asha K; Petersen-Brown, Shawna; Lein, Amy E; Zaslofsky, Anne F; Kunkel, Amy K; Jung, Pyung-Gang; Egan, Andrea M

2015-01-01

This study examined the quality of the research base related to strategy instruction priming the underlying mathematical problem structure for students with learning disabilities and those at risk for mathematics difficulties. We evaluated the quality of methodological rigor of 18 group research studies using the criteria proposed by Gersten et al. and 10 single case design (SCD) research studies using criteria suggested by Horner et al. and the What Works Clearinghouse. Results indicated that 14 group design studies met the criteria for high-quality or acceptable research, whereas SCD studies did not meet the standards for an evidence-based practice. Based on these findings, strategy instruction priming the mathematics problem structure is considered an evidence-based practice using only group design methodological criteria. Implications for future research and for practice are discussed. © Hammill Institute on Disabilities 2013.

Evaluating Work-Based Learning: Insights from an Illuminative Evaluation Study of Work-Based Learning in a Vocational Qualification

ERIC Educational Resources Information Center

van Rensburg, Estelle

2008-01-01

This article outlines an illuminative evaluation study of the work-based module in a vocational qualification in Animal Health offered for the paraveterinary industry by a distance education institution in South Africa. In illuminative evaluation, a programme is studied by qualitative methods to gain an in-depth understanding of its…

In Search of Social Movement Learning: The Growing Jobs for Living Project. NALL Working Paper.

ERIC Educational Resources Information Center

Clover, Darlene E.; Hall, Budd L.

The New Approaches to Lifelong Learning (NALL) project is a Canada-wide 5-year research initiative during which more than 70 academic and community members are working collaboratively within a framework of informal learning to address the following issues: informal computer-based learning, recognition of prior learning, informal learning in a…

Students Learn How Nonprofits Utilize Volunteers through Inquiry-Based Learning

ERIC Educational Resources Information Center

Bolton, Elizabeth B.; Brennan, M. A.; Terry, Bryan D.

2009-01-01

This article highlights how undergraduate students implemented inquiry-based learning strategies to learn how nonprofit organizations utilize volunteers. In inquiry-based learning, students begin with a problem or question with some degree of focus or structure provided by the professor. The student inquiry showcased in this article was based on a…

Student reflections on learning with challenging tasks: `I think the worksheets were just for practice, and the challenges were for maths'

NASA Astrophysics Data System (ADS)

Russo, James; Hopkins, Sarah

2017-09-01

The current study considered young students' (7 and 8 years old) experiences and perceptions of mathematics lessons involving challenging (i.e. cognitively demanding) tasks. We used the Constant Comparative Method to analyse the interview responses ( n = 73) regarding what work artefacts students were most proud of creating and why. Five themes emerged that characterised student reflections: enjoyment, effort, learning, productivity and meaningful mathematics. Overall, there was evidence that students embraced struggle and persisted when engaged in mathematics lessons involving challenging tasks and, moreover, that many students enjoyed the process of being challenged. In the second section of the paper, the lesson structure preferences of a subset of participants ( n = 23) when learning with challenging tasks are considered. Overall, more students preferred the teach-first lesson structure to the task-first lesson structure, primarily because it activated their cognition to prepare them for work on the challenging task. However, a substantial minority of students (42 %) instead endorsed the task-first lesson structure, with several students explaining they preferred this structure precisely because it was so cognitively demanding. Other reasons for preferring the task-first structure included that it allowed the focus of the lesson to be on the challenging task and the subsequent discussion of student work. A key implication of these combined findings is that, for many students, work on challenging tasks appeared to remain cognitively demanding irrespective of the structure of the lesson.

Protein asparagine deamidation prediction based on structures with machine learning methods.

PubMed

Jia, Lei; Sun, Yaxiong

2017-01-01

Chemical stability is a major concern in the development of protein therapeutics due to its impact on both efficacy and safety. Protein "hotspots" are amino acid residues that are subject to various chemical modifications, including deamidation, isomerization, glycosylation, oxidation etc. A more accurate prediction method for potential hotspot residues would allow their elimination or reduction as early as possible in the drug discovery process. In this work, we focus on prediction models for asparagine (Asn) deamidation. Sequence-based prediction method simply identifies the NG motif (amino acid asparagine followed by a glycine) to be liable to deamidation. It still dominates deamidation evaluation process in most pharmaceutical setup due to its convenience. However, the simple sequence-based method is less accurate and often causes over-engineering a protein. We introduce structure-based prediction models by mining available experimental and structural data of deamidated proteins. Our training set contains 194 Asn residues from 25 proteins that all have available high-resolution crystal structures. Experimentally measured deamidation half-life of Asn in penta-peptides as well as 3D structure-based properties, such as solvent exposure, crystallographic B-factors, local secondary structure and dihedral angles etc., were used to train prediction models with several machine learning algorithms. The prediction tools were cross-validated as well as tested with an external test data set. The random forest model had high enrichment in ranking deamidated residues higher than non-deamidated residues while effectively eliminated false positive predictions. It is possible that such quantitative protein structure-function relationship tools can also be applied to other protein hotspot predictions. In addition, we extensively discussed metrics being used to evaluate the performance of predicting unbalanced data sets such as the deamidation case.

Machine-learning approach for local classification of crystalline structures in multiphase systems

NASA Astrophysics Data System (ADS)

Dietz, C.; Kretz, T.; Thoma, M. H.

2017-07-01

Machine learning is one of the most popular fields in computer science and has a vast number of applications. In this work we will propose a method that will use a neural network to locally identify crystal structures in a mixed phase Yukawa system consisting of fcc, hcp, and bcc clusters and disordered particles similar to plasma crystals. We compare our approach to already used methods and show that the quality of identification increases significantly. The technique works very well for highly disturbed lattices and shows a flexible and robust way to classify crystalline structures that can be used by only providing particle positions. This leads to insights into highly disturbed crystalline structures.

Comparison of student learning in the out-patient clinic and ward round.

PubMed

Davis, M H; Dent, J A

1994-05-01

In undergraduate medical education there is a trend away from ward-based teaching towards out-patient and community-based teaching. To study the potential effects of this altered emphasis on student learning, a pilot group of final-year medical students at the University of Dundee was asked to keep individual structured log-books. These contained details of patients seen during their 3-week orthopaedic attachment in both a ward and out-patient setting. A comparison of perceived learning in the two settings showed that students learned more from attending an out-patient clinic than a ward round, but did not make full use of the learning potential of either. The setting did not particularly influence the balance of learning as categorized here but only the ward round supplied experience of surgical complications. The amount of learning taking place in an out-patient clinic was influenced by student ability, measured by examination performance, but not by clinic work-load. The implications of increased use of out-patient clinics and the advantages and disadvantages of the approach employed are discussed. It is concluded that in the situation studied student learning in the outpatient setting is as good as or superior to the ward setting but should not totally replace it.

Using immersive healthcare simulation for physiology education: initial experience in high school, college, and graduate school curricula.

PubMed

Oriol, Nancy E; Hayden, Emily M; Joyal-Mowschenson, Julie; Muret-Wagstaff, Sharon; Faux, Russell; Gordon, James A

2011-09-01

In the natural world, learning emerges from the joy of play, experimentation, and inquiry as part of everyday life. However, this kind of informal learning is often difficult to integrate within structured educational curricula. This report describes an educational program that embeds naturalistic learning into formal high school, college, and graduate school science class work. Our experience is based on work with hundreds of high school, college, and graduate students enrolled in traditional science classes in which mannequin simulators were used to teach physiological principles. Specific case scenarios were integrated into the curriculum as problem-solving exercises chosen to accentuate the basic science objectives of the course. This report also highlights the historic and theoretical basis for the use of mannequin simulators as an important physiology education tool and outlines how the authors' experience in healthcare education has been effectively translated to nonclinical student populations. Particular areas of focus include critical-thinking and problem-solving behaviors and student reflections on the impact of the teaching approach.

Interprofessional learning at work: what spatial theory can tell us about workplace learning in an acute care ward.

PubMed

Gregory, Linda Rosemary; Hopwood, Nick; Boud, David

2014-05-01

It is widely recognized that every workplace potentially provides a rich source of learning. Studies focusing on health care contexts have shown that social interaction within and between professions is crucial in enabling professionals to learn through work, address problems and cope with challenges of clinical practice. While hospital environments are beginning to be understood in spatial terms, the links between space and interprofessional learning at work have not been explored. This paper draws on Lefebvre's tri-partite theoretical framework of perceived, conceived and lived space to enrich understandings of interprofessional learning on an acute care ward in an Australian teaching hospital. Qualitative analysis was undertaken using data from observations of Registered Nurses at work and semi-structured interviews linked to observed events. The paper focuses on a ward round, the medical workroom and the Registrar's room, comparing and contrasting the intended (conceived), practiced (perceived) and pedagogically experienced (lived) spatial dimensions. The paper concludes that spatial theory has much to offer understandings of interprofessional learning in work, and the features of work environments and daily practices that produce spaces that enable or constrain learning.

Perspective Making: Constructivism as a Meaning-Making Structure for Simulation Gaming

ERIC Educational Resources Information Center

Lainema, Timo

2009-01-01

Constructivism has recently gained popularity, although it is not a completely new learning paradigm. Much of the work within e-learning, for example, uses constructivism as a reference "discipline" (explicitly or implicitly). However, some of the work done within the simulation gaming (SG) community discusses what the basic assumptions and…

Learning Organization and Innovative Behavior: The Mediating Effect of Work Engagement

ERIC Educational Resources Information Center

Park, Yu Kyoung; Song, Ji Hoon; Yoon, Seung Won; Kim, Jungwoo

2014-01-01

Purpose: The purpose of this study is to investigate the mediating effect of work engagement on the relationship between learning organization and innovative behavior. Design/methodology/approach: This study used surveys as a data collection tool and implemented structural equation modeling for empirically testing the proposed research model.…

Leveraging Work-Integrated Learning through On-Campus Employment: A University-Wide Approach

ERIC Educational Resources Information Center

Mitchell, Gaon; Kay, Judie

2013-01-01

At Victoria University, Melbourne, Australia, the majority of students engage in paid employment alongside their studies; and, every student has the opportunity to engage with work-integrated learning as a key component of their academic course. This paper explores an innovative structured approach the university has initiated to align these two…

Issues and Strategies for Establishing Work-Integrated Learning for Multidisciplinary Teams: A Focus on Degrees in Sustainability

ERIC Educational Resources Information Center

Wilson, Robyn Fay

2015-01-01

This study was conducted to identify challenges and potential strategies to streamline work-integrated learning placements for multidisciplinary teams of students undertaking degrees in sustainability. Face-to-face interviews using a semi-structured questionnaire were conducted with 15 academics and senior university staff, from four universities…

Making the Grade: A Report on Standards in Work-Based Learning for Young People.

ERIC Educational Resources Information Center

Hughes, Maria

The reasons for the deterioration of the inspection grades awarded for work-based learning (WBL) provision in England were examined. The main data collection activities were as follows: (1) a statistical analysis of the Training Standards Council (TSC) and Adult Learning Inspectorate (ALI) inspection grades in 1998-2001; (2) a qualitative review…

Teaching with Game-Based Learning Management Systems: Exploring a Pedagogical Dungeon

ERIC Educational Resources Information Center

Carron, Thibault; Marty, Jean-Charles; Heraud, Jean-Mathias

2008-01-01

The work reported here takes place in the educational domain. The authors propose a learning environment based on a graphical representation of a course. The emergence of online multiplayer games led the authors to apply the following metaphor to the digital work environments: The method of acquiring knowledge during a learning session is similar…

Contributions of Early Work-Based Learning: A Case Study of First Year Pharmacy Students

ERIC Educational Resources Information Center

Ting, Kang Nee; Wong, Kok Thong; Thang, Siew Ming

2009-01-01

Generally work-based learning opportunities are only offered to students in their penultimate year of undergraduate study. Little is known about the benefits and shortcomings of such experiential learning for students in the early stages of their undergraduate education. This is a mixed method study investigating first year undergraduate pharmacy…

The Value of Writing-to-Learn when Using Question Prompts to Support Web-Based Learning in Ill-Structured Domains

ERIC Educational Resources Information Center

Papadopoulos, Pantelis M.; Demetriadis, Stavros N.; Stamelos, Ioannis G.; Tsoukalas, Ioannis A.

2011-01-01

This study investigates the effectiveness of two variants of a prompting strategy that guides students to focus on important issues when learning in an ill-structured domain. Students in three groups studied individually Software Project Management (SPM) cases for a week, using a web-based learning environment designed especially for this purpose.…

Impact of an inquiry unit on grade 4 students' science learning

NASA Astrophysics Data System (ADS)

Di Mauro, María Florencia; Furman, Melina

2016-09-01

This paper concerns the identification of teaching strategies that enhance the development of 4th grade students' experimental design skills at a public primary school in Argentina. Students' performance in the design of relevant experiments was evaluated before and after an eight-week intervention compared to a control group, as well as the persistence of this learning after eight months. The study involved a quasi-experimental longitudinal study with pre-test/post-test/delayed post-test measures, complemented with semi-structured interviews with randomly selected students. Our findings showed improvement in the experimental design skills as well as its sustainability among students working with the inquiry-based sequence. After the intervention, students were able to establish valid comparisons, propose pertinent designs and identify variables that should remain constant. Contrarily, students in the control group showed no improvement and continued to solve the posed problems based on prior beliefs. In summary, this paper shows evidence that implementing inquiry-based units involving problems set in cross-domain everyday situations that combine independent student work with teacher guidance significantly improves the development of scientific skills in real classroom contexts.

Investigating Learning through Work: Learning Environment Scale & User Guide to the Provider. Support Document

ERIC Educational Resources Information Center

Hawke, Geof; Chappell, Clive

2008-01-01

This Support Document was produced by the authors based on their research for the report, "Investigating Learning through Work: The Development of the 'Provider Learning Environment Scale'" (ED503392). It provides readers with a complete copy of the "Provider Learning Environment Scale" (version 2.0); and an accompanying user…

The Role of Interactional Quality in Learning from Touch Screens during Infancy: Context Matters.

PubMed

Zack, Elizabeth; Barr, Rachel

2016-01-01

Interactional quality has been shown to enhance learning during book reading and play, but has not been examined during touch screen use. Learning to apply knowledge from a touch screen is complex for infants because it involves transfer of learning between a two-dimensional (2D) screen and three-dimensional (3D) object in the physical world. This study uses a touch screen procedure to examine interactional quality measured via maternal structuring, diversity of maternal language, and dyadic emotional responsiveness and infant outcomes during a transfer of learning task. Fifty 15-month-old infants and their mothers participated in this semi-naturalistic teaching task. Mothers were given a 3D object, and a static image of the object presented on a touch screen. Mothers had 5 min to teach their infant that a button on the real toy works in the same way as a virtual button on the touch screen (or vice versa). Overall, 64% of infants learned how to make the button work, transferring learning from the touch screen to the 3D object or vice versa. Infants were just as successful in the 3D to 2D transfer direction as they were in the 2D to 3D transfer direction. A cluster analysis based on emotional responsiveness, the proportion of diverse maternal verbal input, and amount of maternal structuring resulted in two levels of interactional quality: high quality and moderate quality. A logistic regression revealed the level of interactional quality predicted infant transfer. Infants were 19 times more likely to succeed and transfer learning between the touch screen and real object if they were in a high interactional quality dyad, even after controlling for infant activity levels. The present findings suggest that interactional quality between mother and infant plays an important role in making touch screens effective teaching tools for infants' learning.

The Role of Interactional Quality in Learning from Touch Screens during Infancy: Context Matters

PubMed Central

Zack, Elizabeth; Barr, Rachel

2016-01-01

Interactional quality has been shown to enhance learning during book reading and play, but has not been examined during touch screen use. Learning to apply knowledge from a touch screen is complex for infants because it involves transfer of learning between a two-dimensional (2D) screen and three-dimensional (3D) object in the physical world. This study uses a touch screen procedure to examine interactional quality measured via maternal structuring, diversity of maternal language, and dyadic emotional responsiveness and infant outcomes during a transfer of learning task. Fifty 15-month-old infants and their mothers participated in this semi-naturalistic teaching task. Mothers were given a 3D object, and a static image of the object presented on a touch screen. Mothers had 5 min to teach their infant that a button on the real toy works in the same way as a virtual button on the touch screen (or vice versa). Overall, 64% of infants learned how to make the button work, transferring learning from the touch screen to the 3D object or vice versa. Infants were just as successful in the 3D to 2D transfer direction as they were in the 2D to 3D transfer direction. A cluster analysis based on emotional responsiveness, the proportion of diverse maternal verbal input, and amount of maternal structuring resulted in two levels of interactional quality: high quality and moderate quality. A logistic regression revealed the level of interactional quality predicted infant transfer. Infants were 19 times more likely to succeed and transfer learning between the touch screen and real object if they were in a high interactional quality dyad, even after controlling for infant activity levels. The present findings suggest that interactional quality between mother and infant plays an important role in making touch screens effective teaching tools for infants’ learning. PMID:27625613

Energy matters: An investigation of drama pedagogy in the science classroom

NASA Astrophysics Data System (ADS)

Alrutz, Megan

The purpose of this study is to explore and document how informal and improvisational drama techniques affect student learning in the science classroom. While implementing a drama-based science unit, I examined multiple notions of learning, including, but not limited to, traditional notions of achievement, student understanding, student participation in the science classroom, and student engagement with, and knowledge of, science content. Employing an interpretivist research methodology, as outlined by Fredrick Erickson for qualitative analysis in the classroom, I collected data through personal observations; student and teacher interviews; written, artistic and performed class work; video-recorded class work; written tests; and questionnaires. In analyzing the data, I found strong support for student engagement during drama-based science instruction. The drama-based lessons provided structures that drew students into lessons, created enthusiasm for the science curriculum, and encouraged meaningful engagement with, and connections to, the science content, including the application and synthesis of science concepts and skills. By making student contributions essential to each of the lessons, and by challenging students to justify, explain, and clarify their understandings within a dramatic scenario, the classroom facilitators created a conducive learning environment that included both support for student ideas and intellectual rigor. The integration of drama-based pedagogy most affected student access to science learning and content. Students' participation levels, as well as their interest in both science and drama, increased during this drama-based science unit. In addition, the drama-based lessons accommodated multiple learning styles and interests, improving students' access to science content and perceptions of their learning experience and abilities. Finally, while the drama-based science lessons provided multiple opportunities for solidifying understanding of the science content, the data also revealed missed opportunities for sense-making within the delivery of several drama-based science lessons. In conclusion, this study demonstrates how the integration of drama and science prepares students for seeking, accessing, and organizing information in different ways, providing multiple means for students to build knowledge and understanding for actively participating in the changing world around us.

Acquiring and processing verb argument structure: distributional learning in a miniature language.

PubMed

Wonnacott, Elizabeth; Newport, Elissa L; Tanenhaus, Michael K

2008-05-01

Adult knowledge of a language involves correctly balancing lexically-based and more language-general patterns. For example, verb argument structures may sometimes readily generalize to new verbs, yet with particular verbs may resist generalization. From the perspective of acquisition, this creates significant learnability problems, with some researchers claiming a crucial role for verb semantics in the determination of when generalization may and may not occur. Similarly, there has been debate regarding how verb-specific and more generalized constraints interact in sentence processing and on the role of semantics in this process. The current work explores these issues using artificial language learning. In three experiments using languages without semantic cues to verb distribution, we demonstrate that learners can acquire both verb-specific and verb-general patterns, based on distributional information in the linguistic input regarding each of the verbs as well as across the language as a whole. As with natural languages, these factors are shown to affect production, judgments and real-time processing. We demonstrate that learners apply a rational procedure in determining their usage of these different input statistics and conclude by suggesting that a Bayesian perspective on statistical learning may be an appropriate framework for capturing our findings.

Working Community-Related Interaction Factors Building Occupational Well-Being--Learning Based Intervention in Finnish and Estonian Schools (2010-2013)

ERIC Educational Resources Information Center

Pertel, Tiia; Laine, Sari; Saaranen, Terhi; Hansen, Siivi; Lepp, Kädi; Liiv, Krystiine; Tossavainen, Kerttu

2018-01-01

This article examines whether a three-year learning-based work community intervention resulted in changes in working community-related interaction factors and occupational well-being among Finnish and Estonian school staff. It reports the types of changes in working community-related interaction factors and their associations to the subjective…

Cooperative Learning in Inderdisciplinary Education for the Allied Health Professions.

ERIC Educational Resources Information Center

Lynch, Bonnie L.

The concept of cooperative goal structuring was examined, along with the effect of one cooperative learning technique (group consensus examinations) on the perceptions and achievement of college students. Cooperative goal structure exists when students perceive that they can obtain their goal only if the other students with whom they work also…

The influence of learning environment on trainee pharmacy technicians' education and training experiences.

PubMed

Schafheutle, Ellen I; Jee, Samuel D; Willis, Sarah C

2017-12-16

In Great Britain (GB), pharmacy technicians (PTs) are registered professionals, with their education and training regulated; little is known about this or the learning environment in which it takes place. This study aimed to profile recently registered pre-registration trainee pharmacy technicians (PTPTs) in GB and capture views on PTPTs' training experiences, focussing on differences in community and hospital settings. A mixed methods study was conducted in 2013-14, following university ethics approval. One-to-one, semi-structured telephone interviews with face-to-face and distance education providers, and hospital and community pharmacy employers of PTPTs explored views on education delivery, work-based learning, and assessment. Interviews were transcribed verbatim, analysed thematically and findings informed design of a census survey of all 1457 recently registered PTs, investigating satisfaction with various aspects of their training. Quantitative data were analysed using SPSS v20, employing comparative statistics (Mann-Whitney U, Chi-Square). Six-hundred and forty-six questionnaires were returned (response rate 44.3%), 632 were usable. Three-quarters (75.9%) of respondents had trained in community; the majority (88.0%) were female, the average age was 35.26 ± 10.22. Those based in hospitals were more satisfied with their training: hospital trainees worked in larger teams and tended to be better supported, they had more study time, and were more likely to complete their training in the intended two-year period. Interviews with staff in 17 Further Education colleges, 6 distance providers, 16 community pharmacies and 15 NHS organisations confirmed survey findings and offered explanations into why differences in training experiences may exist. This study has identified differences between PTPTs' work-based experiences in hospital and community pharmacy. Perceiving PTPTs as 'apprentices' vs. 'employees' may define how their training is managed by employers. Clarity in PTs' roles, responsibilities, and expected competencies upon registration can ensure training is structured and delivered in a suitable and equitable manner across sectors. Copyright © 2017 Elsevier Inc. All rights reserved.

Experimental search for high-temperature ferroelectric perovskites guided by two-step machine learning.

PubMed

Balachandran, Prasanna V; Kowalski, Benjamin; Sehirlioglu, Alp; Lookman, Turab

2018-04-26

Experimental search for high-temperature ferroelectric perovskites is a challenging task due to the vast chemical space and lack of predictive guidelines. Here, we demonstrate a two-step machine learning approach to guide experiments in search of xBi[Formula: see text]O 3 -(1 - x)PbTiO 3 -based perovskites with high ferroelectric Curie temperature. These involve classification learning to screen for compositions in the perovskite structures, and regression coupled to active learning to identify promising perovskites for synthesis and feedback. The problem is challenging because the search space is vast, spanning ~61,500 compositions and only 167 are experimentally studied. Furthermore, not every composition can be synthesized in the perovskite phase. In this work, we predict x, y, Me', and Me″ such that the resulting compositions have both high Curie temperature and form in the perovskite structure. Outcomes from both successful and failed experiments then iteratively refine the machine learning models via an active learning loop. Our approach finds six perovskites out of ten compositions synthesized, including three previously unexplored {Me'Me″} pairs, with 0.2Bi(Fe 0.12 Co 0.88 )O 3 -0.8PbTiO 3 showing the highest measured Curie temperature of 898 K among them.

The Effect of Outdoor Learning Activities on the Development of Preschool Children

ERIC Educational Resources Information Center

Yildirim, Günseli; Özyilmaz Akamca, Güzin

2017-01-01

Learning ought to be supported by both in class activities and outdoor activities contributing to structuring knowledge. Outdoor activities allow children to actively participate and to learn by doing. Learning requires a lot of work and activities. These activities, which provide primary experiences, help children to change theoretical knowledge…

Professional Learning Communities: Creating a Foundation for Collaboration Skills in Pre-Service Teachers

ERIC Educational Resources Information Center

Hoaglund, Amy E.; Birkenfeld, Karen; Box, Jean Ann

2014-01-01

According to Richard DuFour (2004), "To create a professional learning community, focus on learning rather than teaching, work collaboratively and hold yourself accountable for results." Professional learning communities provide the structure that must exist within a school in order to become effective. However, to truly prepare…

What Are Drivers for Informal Learning?

ERIC Educational Resources Information Center

Schürmann, Eva; Beausaert, Simon

2016-01-01

Purpose: The topic of informal learning at work has received increasing attention in the past years. The purpose of this study is to explore in which informal learning activities employees engage and what are the drivers for informal learning. Design/Methodology/Approach: Semi-structured interviews were taken from ten human resources (HR) and ten…

Causal Learning with Local Computations

ERIC Educational Resources Information Center

Fernbach, Philip M.; Sloman, Steven A.

2009-01-01

The authors proposed and tested a psychological theory of causal structure learning based on local computations. Local computations simplify complex learning problems via cues available on individual trials to update a single causal structure hypothesis. Structural inferences from local computations make minimal demands on memory, require…

Learning-based stochastic object models for use in optimizing imaging systems

NASA Astrophysics Data System (ADS)

Dolly, Steven R.; Anastasio, Mark A.; Yu, Lifeng; Li, Hua

2017-03-01

It is widely known that the optimization of imaging systems based on objective, or task-based, measures of image quality via computer-simulation requires use of a stochastic object model (SOM). However, the development of computationally tractable SOMs that can accurately model the statistical variations in anatomy within a specified ensemble of patients remains a challenging task. Because they are established by use of image data corresponding a single patient, previously reported numerical anatomical models lack of the ability to accurately model inter- patient variations in anatomy. In certain applications, however, databases of high-quality volumetric images are available that can facilitate this task. In this work, a novel and tractable methodology for learning a SOM from a set of volumetric training images is developed. The proposed method is based upon geometric attribute distribution (GAD) models, which characterize the inter-structural centroid variations and the intra-structural shape variations of each individual anatomical structure. The GAD models are scalable and deformable, and constrained by their respective principal attribute variations learned from training data. By use of the GAD models, random organ shapes and positions can be generated and integrated to form an anatomical phantom. The randomness in organ shape and position will reflect the variability of anatomy present in the training data. To demonstrate the methodology, a SOM corresponding to the pelvis of an adult male was computed and a corresponding ensemble of phantoms was created. Additionally, computer-simulated X-ray projection images corresponding to the phantoms were computed, from which tomographic images were reconstructed.

Brain drain? An examination of stereotype threat effects during training on knowledge acquisition and organizational effectiveness.

PubMed

Grand, James A

2017-02-01

Stereotype threat describes a situation in which individuals are faced with the risk of upholding a negative stereotype about their subgroup based on their actions. Empirical work in this area has primarily examined the impact of negative stereotypes on performance for threatened individuals. However, this body of research seldom acknowledges that performance is a function of learning-which may also be impaired by pervasive group stereotypes. This study presents evidence from a 3-day self-guided training program demonstrating that stereotype threat impairs acquisition of cognitive learning outcomes for females facing a negative group stereotype. Using hierarchical Bayesian modeling, results revealed that stereotyped females demonstrated poorer declarative knowledge acquisition, spent less time reflecting on learning activities, and developed less efficiently organized knowledge structures compared with females in a control condition. Findings from a Bayesian mediation model also suggested that despite stereotyped individuals "working harder" to perform well, their underachievement was largely attributable to failures in learning to "work smarter." Building upon these empirical results, a computational model and computer simulation is also presented to demonstrate the practical significance of stereotype-induced impairments to learning on the development of an organization's human capital resources and capabilities. The simulation results show that even the presence of small effects of stereotype threat during learning/training have the potential to exert a significant negative impact on an organization's performance potential. Implications for future research and practice examining stereotype threat during learning are discussed. (PsycINFO Database Record (c) 2017 APA, all rights reserved).

The nature and structure of supervision in health visiting with victims of child sexual abuse.

PubMed

Scott, L

1999-03-01

Part of a higher research degree to explore professional practice. To explore how health visitors work with victims of child sexual abuse and the supervision systems to support them. To seek the views and experiences of practising health visitors relating to complex care in order to consider the nature and structure of supervision. The research reported in this paper used a qualitative method of research and semi-structured interviews with practising health visitors of varying levels of experience in venues around England. Qualitative research enabled the exploration of experiences. Identification of the need for regular, structured, accountable opportunities in a 'private setting' to discuss whole caseload work and current practice issues. Supervision requires a structured, formalized process, in both regularity and content, as a means to explore and acknowledge work with increasingly complex care, to enable full discussion of whole caseloads. Supervision is demonstrated as a vehicle to enable the sharing of good practices and for weak practices to be identified and managed appropriately. Supervision seeks to fulfil the above whilst promoting a stimulating, learning experience, accommodating the notion that individuals learn at their own pace and bring a wealth of human experience to the service. The size of the study was dictated by the amount of time available within which to complete a research master's degree course primarily in the author's own time, over a 2-year period. The majority of participants volunteered their accounts in their own time. For others I obtained permission from their employers for them to participate once they approached me with an interest in being interviewed. This research provides a model of supervision based on practitioner views and experiences. The article highlights the value of research and evidence-based information to enhance practice accountability and the quality of care. Proactive risk management can safeguard the health and safety of the public, the practitioner and the organization.

7 Principles for Effective Work-Based Learning

ERIC Educational Resources Information Center

Cahill, Charlotte

2016-01-01

Americans seeking employment often face a conundrum: relevant work experience is a prerequisite for many jobs, but it is difficult to gain the required experience without being in the workplace. Work-based learning--activities that occur in workplaces through which youth and adults gain the knowledge, skills, and experience needed for entry or…

Working To Learn: A Holistic Approach to Young People's Education and Training.

ERIC Educational Resources Information Center

Senker, Peter; Rainbird, Helen; Evans, Karen; Hodkinson, Phil; Keep, Ewart; Maguire, Malcolm; Raffe, David; Unwin, Lorna

2000-01-01

Highlights deficiencies in current British policies on work-based learning for 16-19 year-olds. Discusses problems arising from employers' voluntary participation. Outlines a holistic approach based on the community of practice model. (SK)

Education on electrical phenomena involved in electroporation-based therapies and treatments: a blended learning approach.

PubMed

Čorović, Selma; Mahnič-Kalamiza, Samo; Miklavčič, Damijan

2016-04-07

Electroporation-based applications require multidisciplinary expertise and collaboration of experts with different professional backgrounds in engineering and science. Beginning in 2003, an international scientific workshop and postgraduate course electroporation based technologies and treatments (EBTT) has been organized at the University of Ljubljana to facilitate transfer of knowledge from leading experts to researches, students and newcomers in the field of electroporation. In this paper we present one of the integral parts of EBTT: an e-learning practical work we developed to complement delivery of knowledge via lectures and laboratory work, thus providing a blended learning approach on electrical phenomena involved in electroporation-based therapies and treatments. The learning effect was assessed via a pre- and post e-learning examination test composed of 10 multiple choice questions (i.e. items). The e-learning practical work session and both of the e-learning examination tests were carried out after the live EBTT lectures and other laboratory work. Statistical analysis was performed to compare and evaluate the learning effect measured in two groups of students: (1) electrical engineers and (2) natural scientists (i.e. medical doctors, biologists and chemists) undergoing the e-learning practical work in 2011-2014 academic years. Item analysis was performed to assess the difficulty of each item of the examination test. The results of our study show that the total score on the post examination test significantly improved and the item difficulty in both experimental groups decreased. The natural scientists reached the same level of knowledge (no statistical difference in total post-examination test score) on the post-course test take, as do electrical engineers, although the engineers started with statistically higher total pre-test examination score, as expected. The main objective of this study was to investigate whether the educational content the e-learning practical work presented to the students with different professional backgrounds enhanced their knowledge acquired via lectures during EBTT. We compared the learning effect assessed in two experimental groups undergoing the e-learning practical work: electrical engineers and natural scientists. The same level of knowledge on the post-course examination was reached in both groups. The results indicate that our e-learning platform supported by blended learning approach provides an effective learning tool for populations with mixed professional backgrounds and thus plays an important role in bridging the gap between scientific domains involved in electroporation-based technologies and treatments.

University of Wolverhampton Case Study: Embedding Practical Work-Based Modules into a Traditionally, Theoretical Programme

ERIC Educational Resources Information Center

Nicholls, Emma; Walsh, Margaret

2007-01-01

Purpose: This case study aims to provide a critical evaluation of the decision by the University of Wolverhampton's School of Legal Studies to develop a number of work-based learning modules, offered as part of the undergraduate programme. It seeks to examine why the School has taken the approach of embedding work-based learning into what has…

Combating Learning

ERIC Educational Resources Information Center

Jarvensivu, Anu; Koski, Pasi

2012-01-01

Purpose: The purpose of this paper is to look at workplace learning through research into sociology of work. It explores the "learning discourse" at work place level looking for possibilities to oppose learning. Design/methodology/approach: This paper is based on case studies conducted at six workplaces. The data on the cases include…

Renewing Professional Organizations and Action Learning

ERIC Educational Resources Information Center

Mullen, Carol A.

2011-01-01

This account concerns the renewal of established professional organizations though action learning. In order to revitalize one national organization, an executive group of leaders committed to co-leading and co-learning through a friendly, computer-supported governance structure. Manifestations of our work together were an accelerated…

Significance of the Feuerstein approach in neurocognitive rehabilitation.

PubMed

Lebeer, Jo

2016-06-18

The theory of Structural Cognitive Modifiability and Mediated Learning Experience of Reuven Feuerstein states that individuals with brain impairment, because of congenital or acquired origin, may substantially and structurally improve their cognitive functioning, by a systematic intervention based on a specific, criteria-based type of interaction ("mediated learning"). Three application systems are based on it: a dynamic-interactive assessment of learning capacity and processes of learning, the LPAD (Learning Propensity Assessment Device); a cognitive intervention program called "Instrumental Enrichment Program", which trains cognitive, metacognitive and executive functions; and a program, which is oriented at working in context, Shaping Modifying Environments. These programs have been applied in widely different target groups: from children and young adults with learning and developmental disabilities, at risk of school failure, or having failed at school, because of socio-economic disadvantage or congenital neurological impairment; disadvantaged youngsters and adults in vocational training, to elderly people at the beginning of a dementia process. Experience with cognitive rehabilitation of children and adults with acquired brain damage, has been relatively recent, first in the Feuerstein Institute's Brain Injury Unit in Jerusalem, later in other centers in different parts of the world; therefore scientific data are scarce. The purpose of this paper is to examine how the Feuerstein-approach fits into the goals and proposed approaches of cognitive rehabilitation, and to explore its relevance for assessment and intervention in individuals with congenital or acquired brain damage. The methodology of the Feuerstein approach consists of four pillars: dynamic assessment, cognitive activation, mediated learning and shaping a modifying environment. The criteria of mediated learning experience are explained with specific reference to people with acquired brain injury. The procedure of learning propensity assessment device uses visuo-spatial and verbal tasks known from neuropsychological assessment (such as Rey's complex figure drawing), as well as a in a pre-test - brief intervention - post-test format. Cognitive activation is done in various ways: a paper-and-pencil relatively content-free program called "instrumental enrichment", with transfer of learned principles into daily life situations, followed by metacognitive feedback. Four case histories of acquired brain damage are analyzed: a 19 year old man with extensive post-astrocytoma frontotemporal brain lesions; a 19 year old man with bilateral frontal and right temporal and parieto-occipital parenchymatous destruction after a traumatic brain injury; a 24 year old man with hemispherectomy for intractable epilepsy because of Sturge-Weber syndrome; and a 30-year old man with left porencephalic cyst after cerebral hemorrhage. Structural cognitive improvement could be demonstrated in positive change scores in visuo-spatial memory, associative and verbal memory, abstract thinking, and organizing tasks, even more than 10 years post-TBI. In some cases a rise in IQ has been documented. Improvement in daily life functioning and academic skills (re)learning has also been seen. Though impossible to claim scientific evidence, the case histories nevertheless suggest the importance of interactive assessment in designing intervention programs which have sufficient intensity, frequency, duration and consistency of mediation; furthermore, an essential ingredient is the ecological approach which requires working with the patient and the whole network around; a firm "belief system" or that modifiability is possible even with severe brain damage and many years after the injury; a cognitive, metacognitive and executive approach, and a quality of interaction according to criteria of mediated learning. They suggest that Feuerstein approach may offer interesting perspectives to cognitive rehabilitation. More extensive research is needed to provide a broader scientific evidence base.

An international, multidisciplinary, service-learning program: an option in the dental school curriculum.

PubMed

Martinez-Mier, Esperanza A; Soto-Rojas, Armando E; Stelzner, Sarah M; Lorant, Diane E; Riner, Mary E; Yoder, Karen M

2011-04-01

Many health professions students who treat Spanish-speaking patients in the United States have little concept of their culture and health related traditions. The lack of understanding of these concepts may constitute major barriers to healthcare for these patients. International service-learning experiences allow students to work directly in communities from which patients immigrate and, as a result, students gain a better understanding of these barriers. This article describes the implementation of an international, multidisciplinary, service-learning program in a dental school in the United States. The Indiana University International Service-Learning program in Hidalgo, Mexico began in 1999 as an alternative spring break travel and clinical experience for medical students, focusing on the treatment of acute health problems. Travel-related preparatory sessions were offered, and no learning or service objectives had been developed. The program has evolved to include a multidisciplinary team of dental, medical, nursing, public health and social work students and faculty. The experience is now integrated into a curriculum based on the service-learning model that allows students to use their clinical skills in real-life situations and provides structured time for reflection. The program aims to enhance teaching and foster civic responsibility in explicit partnership with the community. Preparatory sessions have evolved into a multidisciplinary graduate level course with defined learning and service objectives. PROGRAM EVALUATION METHODS: In order to assess the program's operation as perceived by students and faculty and to evaluate student's perceptions of learning outcomes, evaluation tools were developed. These tools included student and faculty evaluation questionnaires, experiential learning journals, and a strengths, weaknesses, opportunities and threats analysis. Evaluation data show that after program participation, students perceived an increase in their cultural awareness, cross-cultural communication skills and understanding of barriers and disparities faced by Latinos in the United States. Faculty evaluations offer insights into the lessons learned through the implementation process. The development of a service-learning based curriculum has posed challenges but has enriched international service experiences.

Auto-Associative Recurrent Neural Networks and Long Term Dependencies in Novelty Detection for Audio Surveillance Applications

NASA Astrophysics Data System (ADS)

Rossi, A.; Montefoschi, F.; Rizzo, A.; Diligenti, M.; Festucci, C.

2017-10-01

Machine Learning applied to Automatic Audio Surveillance has been attracting increasing attention in recent years. In spite of several investigations based on a large number of different approaches, little attention had been paid to the environmental temporal evolution of the input signal. In this work, we propose an exploration in this direction comparing the temporal correlations extracted at the feature level with the one learned by a representational structure. To this aim we analysed the prediction performances of a Recurrent Neural Network architecture varying the length of the processed input sequence and the size of the time window used in the feature extraction. Results corroborated the hypothesis that sequential models work better when dealing with data characterized by temporal order. However, so far the optimization of the temporal dimension remains an open issue.

Influencing Work-Related Learning: The Role of Job Characteristics and Self-Directed Learning Orientation in Part-Time Vocational Education

ERIC Educational Resources Information Center

Gijbels, David; Raemdonck, Isabel; Vervecken, Dries

2010-01-01

Based on the Demand-Control-Support (DCS) model, the present paper aims to investigate the influence of job characteristics such as job demands, job control, social support at work and self-directed learning orientation on the work-related learning behaviour of workers. The present study was conducted in a centre for part-time vocational education…

Video to Text (V2T) in Wide Area Motion Imagery

DTIC Science & Technology

2015-09-01

microtext) or a document (e.g., using Sphinx or Apache NLP ) as an automated approach [102]. Previous work in natural language full-text searching...language processing ( NLP ) based module. The heart of the structured text processing module includes the following seven key word banks...Features Tracker MHT Multiple Hypothesis Tracking MIL Multiple Instance Learning NLP Natural Language Processing OAB Online AdaBoost OF Optic Flow

The Role of Working Memory in Multimedia Instruction: Is Working Memory Working during Learning from Text and Pictures?

ERIC Educational Resources Information Center

Schuler, Anne; Scheiter, Katharina; van Genuchten, Erlijn

2011-01-01

A lot of research has focused on the beneficial effects of using multimedia, that is, text and pictures, for learning. Theories of multimedia learning are based on Baddeley's working memory model (Baddeley 1999). Despite this theoretical foundation, there is only little research that aims at empirically testing whether and more importantly how…

ATR architecture for multisensor fusion

NASA Astrophysics Data System (ADS)

Hamilton, Mark K.; Kipp, Teresa A.

1996-06-01

The work of the U.S. Army Research Laboratory (ARL) in the area of algorithms for the identification of static military targets in single-frame electro-optical (EO) imagery has demonstrated great potential in platform-based automatic target identification (ATI). In this case, the term identification is used to mean being able to tell the difference between two military vehicles -- e.g., the M60 from the T72. ARL's work includes not only single-sensor forward-looking infrared (FLIR) ATI algorithms, but also multi-sensor ATI algorithms. We briefly discuss ARL's hybrid model-based/data-learning strategy for ATI, which represents a significant step forward in ATI algorithm design. For example, in the case of single sensor FLIR it allows the human algorithm designer to build directly into the algorithm knowledge that can be adequately modeled at this time, such as the target geometry which directly translates into the target silhouette in the FLIR realm. In addition, it allows structure that is not currently well understood (i.e., adequately modeled) to be incorporated through automated data-learning algorithms, which in a FLIR directly translates into an internal thermal target structure signature. This paper shows the direct applicability of this strategy to both the single-sensor FLIR as well as the multi-sensor FLIR and laser radar.

Motor learning and working memory in children born preterm: a systematic review.

PubMed

Jongbloed-Pereboom, Marjolein; Janssen, Anjo J W M; Steenbergen, Bert; Nijhuis-van der Sanden, Maria W G

2012-04-01

Children born preterm have a higher risk for developing motor, cognitive, and behavioral problems. Motor problems can occur in combination with working memory problems, and working memory is important for explicit learning of motor skills. The relation between motor learning and working memory has never been reviewed. The goal of this review was to provide an overview of motor learning, visual working memory and the role of working memory on motor learning in preterm children. A systematic review conducted in four databases identified 38 relevant articles, which were evaluated for methodological quality. Only 4 of 38 articles discussed motor learning in preterm children. Thirty-four studies reported on visual working memory; preterm birth affected performance on visual working memory tests. Information regarding motor learning and the role of working memory on the different components of motor learning was not available. Future research should address this issue. Insight in the relation between motor learning and visual working memory may contribute to the development of evidence based intervention programs for children born preterm. Copyright © 2012 Elsevier Ltd. All rights reserved.

Reclaiming the Disengaged? A Bourdieuian Analysis of Work-Based Learning for Young People in England

ERIC Educational Resources Information Center

Thompson, Ron

2011-01-01

This paper uses Bourdieu's concept of field to analyse findings from an ethnographic study of Entry to Employment (E2E) programmes in England. Entry to Employment is a work-based learning programme which aims to re-engage young people with "barriers to learning" inhibiting access to further education, training or employment. The paper…

The Workplace as Learning Environment in Early Childhood Teacher Education: An Investigation of Work-Based Education

ERIC Educational Resources Information Center

Kaarby, Karen Marie Eid; Lindboe, Inger Marie

2016-01-01

The article focuses on the workplace as a learning environment in work-based early childhood teacher education in Norway. The main question is: Which understandings of the workplace as a learning environment are to be found in regulations and policy documents, among students and among staff managers? Taking as the point of departure, a theoretical…

Stories from the Front Line: Unlocking the Voices of Students and Employers Engaged in Innovative Postgraduate Work-Based Learning Programmes in English Universities

ERIC Educational Resources Information Center

Smith, Paul J.; Scott, Jonathan M.

2011-01-01

This paper explores the views that students and employers have on innovative work-based learning (WBL) programmes in English higher education. The experiences of both students and employers were analysed methodologically, using the organizational story-telling framework (Gabriel, 1999). The themes that have emerged are learning support,…

Undergraduate engineering students' experiences of interdisciplinary learning: a phenomenographic perspective

NASA Astrophysics Data System (ADS)

Hsu, Ming-Chien

Engineers are expected to work with people with different disciplinary knowledge to solve real-world problems that are inherently complex, which is one of the reasons that interdisciplinary learning has become a common pedagogical practice in engineering education. However, empirical evidence on the impact of interdisciplinary learning on undergraduates is lacking. Regardless of the differences in the scope of methods used to assess interdisciplinary learning, frameworks of interdisciplinary learning are imperative for developing attainable outcomes as well as interpreting assessment data. Existing models of interdisciplinary learning have been either conceptual or based on research faculty members' experiences rather than empirical data. The study addressed the gap by exploring the different ways that undergraduate engineering students experience interdisciplinary learning. A phenomenographic methodological framework was used to guide the design, data collection, and data analysis of the study. Twenty-two undergraduate engineering students with various interdisciplinary learning experiences were interviewed using semi-structured protocols. They concretely described their experiences and reflected meaning associated with those experiences. Analysis of the data revealed eight qualitatively different ways that students experience interdisciplinary learning, which include: interdisciplinary learning as (A) no awareness of differences, (B) control and assertion, (C) coping with differences, (D) navigating creative differences, (E) learning from differences, (F) bridging differences, (G) expanding intellectual boundaries, and (H) commitment to holistic perspectives. Categories D through H represent a hierarchical structure of increasingly comprehensive way of experiencing interdisciplinary learning. Further analysis uncovered two themes that varied throughout the categories: (i) engagement with differences and (ii) purpose and integration. Students whose experiences lie outside of the hierarchical structure need to engage difference in a positive manner and also have a purpose in engaging differences in order to experience interdisciplinary learning in a more comprehensive way. The results offer insights into the design of curriculum and classroom interdisciplinary experiences in engineering education.

Developing nursing practice through work-based learning.

PubMed

Clarke, David J; Copeland, Lisa

2003-12-01

Developing nursing practice in any area demands skills, knowledge, support and a long term commitment to the achievement of best practice. It is easy to become overwhelmed by the competing demands for client care and service delivery. It is not always easy to see how good ideas, clinical concerns and professionally led objectives, can be realised in practice. Ongoing professional development activities, including formal educational programmes can contribute to individual staff members' ability to take on practice development projects. Too often however, educational programmes are seen as making little real difference to clinical practice. Work-based learning, a relatively new approach in higher education in the United Kingdom, presents opportunities for Universities and healthcare providers to work in partnership to realise the shared aims of developing nursing practice. Specific examples, drawn from the personal experiences of one of the authors, will examine the contribution of a work-based learning approach to integrating learning and developing practice in the field of cancer care. The work-based learning approach can bring about tangible benefits for patients, practitioners and organisations, but only if the organisational and contextual factors which impact on practice and its development are properly considered and managed through effective partnerships.

[Contract learning: effects of professionalization on the student nurse].

PubMed

Jubin, Patricia

2013-03-01

The reengineering of nurse training implies the implementation of self-development, empowering tools and a reshaping of the function of accompaniment during training which becomes a shared function. This work is part of a psycho-socio-educational approach of the accompaniment to self-directed learning and also in the field of practices of health and social work. This study contributes to the identification of the conditions of efficiency of contracting between student nurses, tutors and instructors. It aims to explore the interest of a triangular steering of the learning contract centered on the student's individual project and also the interest of meetings during training as triggers to a process of self-construction of competences. Moreover, the study aims to identify the effects of contract on professionalization. Our study reverts to the basic question of learning by contract as a pillar for the self-directed learning in an alternating training context. The empirical approach takes into account a qualitative study carried out with 15 people (tutors, managers, student nurses and instructors) in 3 health care structures and a quantitative study based on 78 first year students, 106 second year students, and 47 third year students at the same nursing education institute. The study shows that learning by contract is empowering and professionalizing, if the student is placed in favorable conditions of learning and contractual relationship.

Argumentation as a Lens to Examine Student Discourse in Peer-Led Guided Inquiry for College General Chemistry

NASA Astrophysics Data System (ADS)

Kulatunga, Ushiri Kumarihamy

This dissertation work entails three related studies on the investigation of Peer-Led Guided Inquiry student discourse in a General Chemistry I course through argumentation. The first study, Argumentation and participation patterns in general chemistry peer-led sessions, is focused on examining arguments and participation patterns in small student groups without peer leader intervention. The findings of this study revealed that students were mostly engaged in co-constructed arguments, that a discrepancy in the participation of the group members existed, and students were able to correct most of the incorrect claims on their own via argumentation. The second study, Exploration of peer leader verbal behaviors as they intervene with small groups in college general chemistry, examines the interactive discourse of the peer leaders and the students during peer leader intervention. The relationship between the verbal behaviors of the peer leaders and the student argumentation is explored in this study. The findings of this study demonstrated that peer leaders used an array of verbal behaviors to guide students to construct chemistry concepts, and that a relationship existed between student argument components and peer leader verbal behaviors. The third study, Use of Tolumin's Argumentation Scheme for student discourse to gain insight about guided inquiry activities in college chemistry , is focused on investigating the relationship between student arguments without peer leader intervention and the structure of published guided inquiry ChemActivities. The relationship between argumentation and the structure of the activities is explored with respect to prompts, questions, and the segmented Learning Cycle structure of the ChemActivities. Findings of this study revealed that prompts were effective in eliciting arguments, that convergent questions produced more arguments than directed questions, and that the structure of the Learning Cycle successfully scaffolded arguments. A semester of video data from two different small student groups facilitated by two different peer leaders was used for these three related studies. An analytic framework based on Toulmin's argumentation scheme was used for the argumentation analysis of the studies. This dissertation work focused on the three central elements of the peer-led classroom, students, peer leader, and the ChemActivities, illuminates effective discourse important for group learning. Overall, this dissertation work contributes to science education by providing both an analytic framework useful for investigating group processes and crucial strategies for conducting effective cooperative learning and promoting student argumentation. The findings of this dissertation work have valuable implications in the professional development of teachers specifically for group interventions in the implementation of cooperative learning reforms.

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

PubMed

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.

Men Learning through Life (and Men's Sheds)

ERIC Educational Resources Information Center

Golding, Barry

2015-01-01

This "Futures" column shares insights about men's learning beyond work, based on several decades of research in men's learning in international community contexts. The article focuses' particularly on men who want and need to learn to re-create and broaden their identities beyond their working lives. This practice, well established in…

Mobile Adaptive Communication Support for Vocabulary Acquisition

ERIC Educational Resources Information Center

Epp, Carrie Demmans

2014-01-01

This work explores the use of an adaptive mobile tool for language learning. A school-based deployment study showed that the tool supported learning. A second study is being conducted in informal learning environments. Current work focuses on building models that increase our understanding of the relationship between application usage and learning.

How Dutch employees experience freedom of learning for work

NASA Astrophysics Data System (ADS)

van Dellen, Theo; Heidekamp, Ina

2015-12-01

This article focuses on the perceived freedom of Dutch employees to embark on workplace learning in terms of whether they feel it is "voluntary" or "compulsory". The paper is based on the findings of a large international explorative survey carried out by the Workplace Learning (WPL) Research Network (RN2) of the Asia-Europe Meeting (ASEM) Lifelong Learning (LLL) Research Hub. The comparative study focused on employees' quest for "freedom of learning for work". This paper reports on the Dutch part of the research, the quantitative results of which seem to indicate that the freedom of learning for work is not as important to Dutch employees as might be expected. In a second phase, to investigate employees' experiences of work-related learning in more depth, the Dutch researchers added a follow-up qualitative study, involving one-on-one interviews. In order to triangulate the results of the quantitative and qualitative research phases, the authors then added a mixed-methods sequential explanatory analysis. They assessed the quality of the collected data in both distinct phases by identifying converging results, which are useful for refining our understanding of learning for work. The paper draws both on rich insights into workplace learning based on this research as well as on theoretical literature which refers to concepts like motivation, subjectivity, work identity and agency in connection with the quest for freedom of learning.

Learning in Physics by Doing Laboratory Work: Towards a New Conceptual Framework

ERIC Educational Resources Information Center

Danielsson, Anna Teresia; Linder, Cedric

2009-01-01

Drawing on a study that explores university students' experiences of doing laboratory work in physics, this article outlines a proposed conceptual framework for extending the exploration of the gendered experience of learning. In this framework situated cognition and post-structural gender theory are merged together. By drawing on data that aim at…

The Role of Work-Related Learning in the Identity Transformation of Canadian Workers with Low Literacy Skills

ERIC Educational Resources Information Center

Taylor, Maurice C.; Trumpower, David L.; Purse, Edward R.

2015-01-01

Workplaces are settings where power, knowledge and self are brought together in a complex social environment which includes various forms of struggle related to identity, agency, socio-cultural norms, political structures and functional practices. The purpose of this article is to uncover how formal and informal work-related learning processes…

Women, Violence and Informal Learning. NALL Working Paper.

ERIC Educational Resources Information Center

Mojab, Shahrzad; McDonald, Susan

A comparative study of the impact of violence on immigrant women's learning was conducted among immigrant women of two communities in the Toronto area: the Spanish-speaking community and the Kurds. The two authors of the study each worked with one of the communities in which they had knowledge of the language. An in-depth, non-structured,…

Agentic Perspective on Fostering Work-Related Learning

ERIC Educational Resources Information Center

Vähäsantanen, Katja; Paloniemi, Susanna; Hökkä, Päivi; Eteläpelto, Anneli

2017-01-01

Despite the increased recognition of the role that professional agency plays in work-related learning, little is known about what supports it. Based on current theoretical notions, the first purpose of this paper is to show that professional agency is closely intertwined with work-related learning. The second purpose is to introduce some main…

Designing To Learn about Complex Systems.

ERIC Educational Resources Information Center

Hmelo, Cindy E.; Holton, Douglas L.; Kolodner, Janet L.

2000-01-01

Indicates the presence of complex structural, behavioral, and functional relations to understanding. Reports on a design experiment in which 6th grade children learned about the human respiratory system by designing artificial lungs and building partial working models. Makes suggestions for successful learning from design activities. (Contains 44…

Language learners privilege structured meaning over surface frequency

PubMed Central

Culbertson, Jennifer; Adger, David

2014-01-01

Although it is widely agreed that learning the syntax of natural languages involves acquiring structure-dependent rules, recent work on acquisition has nevertheless attempted to characterize the outcome of learning primarily in terms of statistical generalizations about surface distributional information. In this paper we investigate whether surface statistical knowledge or structural knowledge of English is used to infer properties of a novel language under conditions of impoverished input. We expose learners to artificial-language patterns that are equally consistent with two possible underlying grammars—one more similar to English in terms of the linear ordering of words, the other more similar on abstract structural grounds. We show that learners’ grammatical inferences overwhelmingly favor structural similarity over preservation of superficial order. Importantly, the relevant shared structure can be characterized in terms of a universal preference for isomorphism in the mapping from meanings to utterances. Whereas previous empirical support for this universal has been based entirely on data from cross-linguistic language samples, our results suggest it may reflect a deep property of the human cognitive system—a property that, together with other structure-sensitive principles, constrains the acquisition of linguistic knowledge. PMID:24706789

Machine Learning Based Malware Detection

DTIC Science & Technology

2015-05-18

A TRIDENT SCHOLAR PROJECT REPORT NO. 440 Machine Learning Based Malware Detection by Midshipman 1/C Zane A. Markel, USN...COVERED (From - To) 4. TITLE AND SUBTITLE Machine Learning Based Malware Detection 5a. CONTRACT NUMBER 5b. GRANT NUMBER 5c. PROGRAM...suitably be projected into realistic performance. This work explores several aspects of machine learning based malware detection . First, we

Student Development of Information Literacy Skills during Problem-Based Organic Chemistry Laboratory Experiments

ERIC Educational Resources Information Center

Shultz, Ginger V.; Li, Ye

2016-01-01

Problem-based learning methods support student learning of content as well as scientific skills. In the course of problem-based learning, students seek outside information related to the problem, and therefore, information literacy skills are practiced when problem-based learning is used. This work describes a mixed-methods approach to investigate…

The Structural Connectivity Underpinning Language Aptitude, Working Memory, and IQ in the Perisylvian Language Network

ERIC Educational Resources Information Center

Xiang, Huadong; Dediu, Dan; Roberts, Leah; van Oort, Erik; Norris, David G.; Hagoort, Peter

2012-01-01

In this article, we report the results of a study on the relationship between individual differences in language learning aptitude and the structural connectivity of language pathways in the adult brain, the first of its kind. We measured four components of language aptitude ("vocabulary learning"; "sound recognition"; "sound-symbol…

The New Generation of Auditors Meeting Praxis: Dual Learning's Role in Audit Students' Professional Development

ERIC Educational Resources Information Center

Agevall, Lena; Broberg, Pernilla; Umans, Timurs

2018-01-01

This paper explores whether and in what way "dual learning" can develop understanding of the relationship between structure/judgement and explores audit student's perceptions of the audit profession. The Work Integrated Learning (WIL) module, serving as a tool of enabling dual learning, represents the context for this exploration. The…

Building Bridges: Seeking Structure and Direction for Higher Education Motivated Learning Strategy Models

ERIC Educational Resources Information Center

Fryer, Luke K.

2017-01-01

Many of our current higher education (HE) learning strategy models intersect at important points. At the same time, these theories also often demonstrate important unique perspectives on student learning within HE. Currently, research with one learning strategy model rarely leads to developments in others, as each group of researchers works in…

Working in a Hose Building Factory. Youth Training Scheme. Core Exemplar Work Based Project.

ERIC Educational Resources Information Center

Further Education Staff Coll., Blagdon (England).

This trainer's guide is intended to assist supervisors of work-based career training projects in helping students learn about the operations of a marine hose factory, requisition supplies, rewarp nylon binders, determine the cost of material depreciation, communicate with coworkers, and learn about health and safety procedures. Though specific to…

Work-Based Learning at Higher Education Level: Value, Practice and Critique

ERIC Educational Resources Information Center

Lester, Stan; Costley, Carol

2010-01-01

Since the 1980s there has been significant growth in the engagement of higher education with workforce development, with among other things the emergence of a distinct if varied area of provision commonly referred to as work-based learning. Recent examination of practice and literature indicates a growing sophistication in the way that work-based…

Strengthening Attainment of Student Learning Outcomes during Work-Integrated Learning: A Collaborative Governance Framework across Academia, Industry and Students

ERIC Educational Resources Information Center

Henderson, Amanda; Trede, Franziska

2017-01-01

Graduate capability and employability are regarded as critical success factors for degree programs by universities, industry, and the students. Furthering work-based experiences for academic credit within degree programs is being increasingly explored to assist employability. Effective work-based experiences are reliant on good partnerships…

Project-Based Learning: A Literature Review. Working Paper

ERIC Educational Resources Information Center

Condliffe, Barbara

2017-01-01

The concept of project-based learning (PBL) has garnered wide support among a number of K-12 education policy advocates and funders. This working paper builds on and updates a seminal literature review of PBL published in 2000. Focused primarily on articles and studies that have emerged in the 17 years since then, the working paper discusses the…

Nursing Student Perceptions of Structural Empowerment.

PubMed

Moore, Shelley C; Ward, Karen S

To meet role expectations for nurses, nurses must feel empowered. Faculty contributions to the learning environment for nursing students are critical. A descriptive analysis of student perceptions of empowerment within the learning environment was conducted using a form of Kanter's Conditions of Work Effectiveness Questionnaire; 203 participants from schools in 17 different states completed surveys. Subjects demonstrated moderate degrees of structural empowerment in their learning environment. This positive finding can be further investigated and used to fully prepare future nurses.

Spike Train Auto-Structure Impacts Post-Synaptic Firing and Timing-Based Plasticity

PubMed Central

Scheller, Bertram; Castellano, Marta; Vicente, Raul; Pipa, Gordon

2011-01-01

Cortical neurons are typically driven by several thousand synapses. The precise spatiotemporal pattern formed by these inputs can modulate the response of a post-synaptic cell. In this work, we explore how the temporal structure of pre-synaptic inhibitory and excitatory inputs impact the post-synaptic firing of a conductance-based integrate and fire neuron. Both the excitatory and inhibitory input was modeled by renewal gamma processes with varying shape factors for modeling regular and temporally random Poisson activity. We demonstrate that the temporal structure of mutually independent inputs affects the post-synaptic firing, while the strength of the effect depends on the firing rates of both the excitatory and inhibitory inputs. In a second step, we explore the effect of temporal structure of mutually independent inputs on a simple version of Hebbian learning, i.e., hard bound spike-timing-dependent plasticity. We explore both the equilibrium weight distribution and the speed of the transient weight dynamics for different mutually independent gamma processes. We find that both the equilibrium distribution of the synaptic weights and the speed of synaptic changes are modulated by the temporal structure of the input. Finally, we highlight that the sensitivity of both the post-synaptic firing as well as the spike-timing-dependent plasticity on the auto-structure of the input of a neuron could be used to modulate the learning rate of synaptic modification. PMID:22203800

A proposal of an architecture for the coordination level of intelligent machines

NASA Technical Reports Server (NTRS)

Beard, Randall; Farah, Jeff; Lima, Pedro

1993-01-01

The issue of obtaining a practical, structured, and detailed description of an architecture for the Coordination Level of Center for Intelligent Robotic Systems for Sapce Exploration (CIRSSE) Testbed Intelligent Controller is addressed. Previous theoretical and implementation works were the departure point for the discussion. The document is organized as follows: after this introductory section, section 2 summarizes the overall view of the Intelligent Machine (IM) as a control system, proposing a performance measure on which to base its design. Section 3 addresses with some detail implementation issues. An hierarchic petri-net with feedback-based learning capabilities is proposed. Finally, section 4 is an attempt to address the feedback problem. Feedback is used for two functions: error recovery and reinforcement learning of the correct translations for the petri-net transitions.

Cognitive components underpinning the development of model-based learning.

PubMed

Potter, Tracey C S; Bryce, Nessa V; Hartley, Catherine A

2017-06-01

Reinforcement learning theory distinguishes "model-free" learning, which fosters reflexive repetition of previously rewarded actions, from "model-based" learning, which recruits a mental model of the environment to flexibly select goal-directed actions. Whereas model-free learning is evident across development, recruitment of model-based learning appears to increase with age. However, the cognitive processes underlying the development of model-based learning remain poorly characterized. Here, we examined whether age-related differences in cognitive processes underlying the construction and flexible recruitment of mental models predict developmental increases in model-based choice. In a cohort of participants aged 9-25, we examined whether the abilities to infer sequential regularities in the environment ("statistical learning"), maintain information in an active state ("working memory") and integrate distant concepts to solve problems ("fluid reasoning") predicted age-related improvements in model-based choice. We found that age-related improvements in statistical learning performance did not mediate the relationship between age and model-based choice. Ceiling performance on our working memory assay prevented examination of its contribution to model-based learning. However, age-related improvements in fluid reasoning statistically mediated the developmental increase in the recruitment of a model-based strategy. These findings suggest that gradual development of fluid reasoning may be a critical component process underlying the emergence of model-based learning. Copyright © 2016 The Authors. Published by Elsevier Ltd.. All rights reserved.

Design and Implementation of C-iLearning: A Cloud-Based Intelligent Learning System

ERIC Educational Resources Information Center

Xiao, Jun; Wang, Minjuan; Wang, Lamei; Zhu, Xiaoxiao

2013-01-01

The gradual development of intelligent learning (iLearning) systems has prompted the changes of teaching and learning. This paper presents the architecture of an intelligent learning (iLearning) system built upon the recursive iLearning model and the key technologies associated with this model. Based on this model and the technical structure of a…

Organising the Chemistry of Question-Based Learning: A Case Study

ERIC Educational Resources Information Center

de Jesus, Helena Pedrosa; de Souza, Francisle Neri; Teixeira-Dias, Jose J. C.; Watts, Mike

2005-01-01

Designing inquiry-based-learning with and for university students develops problem-solving skills and logical reasoning, as well as reflective thinking. It involves working as a member of a team, questioning, being creative, shaping the skills for continued intellectual development. It is argued that inquiry-based group work is one of the most…

Introducing students to patient safety through an online interprofessional course.

PubMed

Blue, Amy V; Charles, Laurine; Howell, David; Koutalos, Yiannis; Mitcham, Maralynne; Nappi, Jean; Zoller, James

2010-01-01

Interprofessional education (IPE) is increasingly called upon to improve health care systems and patient safety. Our institution is engaged in a campus-wide IPE initiative. As a component of this initiative, a required online interprofessional patient-safety-focused course for a large group (300) of first-year medical, dental, and nursing students was developed and implemented. We describe our efforts with developing the course, including the use of constructivist and adult learning theories and IPE competencies to structure students' learning in a meaningful fashion. The course was conducted online to address obstacles of academic calendars and provide flexibility for faculty participation. Students worked in small groups online with a faculty facilitator. Thematic modules were created with associated objectives, online learning materials, and assignments. Students posted completed assignments online and responded to group members' assignments for purposes of group discussion. Students worked in interprofessional groups on a project requiring them to complete a root cause analysis and develop recommendations based on a fictional sentinel event case. Through project work, students applied concepts learned in the course related to improving patient safety and demonstrated interprofessional collaboration skills. Projects were presented during a final in-class session. Student course evaluation results suggest that learning objectives and content goals were achieved. Faculty course evaluation results indicate that the course was perceived to be a worthwhile learning experience for students. We offer the following recommendations to others interested in developing an in-depth interprofessional learning experience for a large group of learners: 1) consider a hybrid format (inclusion of some face-to-face sessions), 2) address IPE and broader curricular needs, 3) create interactive opportunities for shared learning and working together, 4) provide support to faculty facilitators, and 5) recognize your learners' educational level. The course has expanded to include students from additional programs for the current academic year.

Introducing students to patient safety through an online interprofessional course

PubMed Central

Blue, Amy V; Charles, Laurine; Howell, David; Koutalos, Yiannis; Mitcham, Maralynne; Nappi, Jean; Zoller, James

2010-01-01

Interprofessional education (IPE) is increasingly called upon to improve health care systems and patient safety. Our institution is engaged in a campus-wide IPE initiative. As a component of this initiative, a required online interprofessional patient-safety-focused course for a large group (300) of first-year medical, dental, and nursing students was developed and implemented. We describe our efforts with developing the course, including the use of constructivist and adult learning theories and IPE competencies to structure students’ learning in a meaningful fashion. The course was conducted online to address obstacles of academic calendars and provide flexibility for faculty participation. Students worked in small groups online with a faculty facilitator. Thematic modules were created with associated objectives, online learning materials, and assignments. Students posted completed assignments online and responded to group members’ assignments for purposes of group discussion. Students worked in interprofessional groups on a project requiring them to complete a root cause analysis and develop recommendations based on a fictional sentinel event case. Through project work, students applied concepts learned in the course related to improving patient safety and demonstrated interprofessional collaboration skills. Projects were presented during a final in-class session. Student course evaluation results suggest that learning objectives and content goals were achieved. Faculty course evaluation results indicate that the course was perceived to be a worthwhile learning experience for students. We offer the following recommendations to others interested in developing an in-depth interprofessional learning experience for a large group of learners: 1) consider a hybrid format (inclusion of some face-to-face sessions), 2) address IPE and broader curricular needs, 3) create interactive opportunities for shared learning and working together, 4) provide support to faculty facilitators, and 5) recognize your learners’ educational level. The course has expanded to include students from additional programs for the current academic year. PMID:23745069

Focalised stimulation using high definition transcranial direct current stimulation (HD-tDCS) to investigate declarative verbal learning and memory functioning.

PubMed

Nikolin, Stevan; Loo, Colleen K; Bai, Siwei; Dokos, Socrates; Martin, Donel M

2015-08-15

Declarative verbal learning and memory are known to be lateralised to the dominant hemisphere and to be subserved by a network of structures, including those located in frontal and temporal regions. These structures support critical components of verbal memory, including working memory, encoding, and retrieval. Their relative functional importance in facilitating declarative verbal learning and memory, however, remains unclear. To investigate the different functional roles of these structures in subserving declarative verbal learning and memory performance by applying a more focal form of transcranial direct current stimulation, "High Definition tDCS" (HD-tDCS). Additionally, we sought to examine HD-tDCS effects and electrical field intensity distributions using computer modelling. HD-tDCS was administered to the left dorsolateral prefrontal cortex (LDLPFC), planum temporale (PT), and left medial temporal lobe (LMTL) to stimulate the hippocampus, during learning on a declarative verbal memory task. Sixteen healthy participants completed a single blind, intra-individual cross-over, sham-controlled study which used a Latin Square experimental design. Cognitive effects on working memory and sustained attention were additionally examined. HD-tDCS to the LDLPFC significantly improved the rate of verbal learning (p=0.03, η(2)=0.29) and speed of responding during working memory performance (p=0.02, η(2)=0.35), but not accuracy (p=0.12, η(2)=0.16). No effect of tDCS on verbal learning, retention, or retrieval was found for stimulation targeted to the LMTL or the PT. Secondary analyses revealed that LMTL stimulation resulted in increased recency (p=0.02, η(2)=0.31) and reduced mid-list learning effects (p=0.01, η(2)=0.39), suggesting an inhibitory effect on learning. HD-tDCS to the LDLPFC facilitates the rate of verbal learning and improved efficiency of working memory may underlie performance effects. This focal method of administrating tDCS has potential for probing and enhancing cognitive functioning. Copyright © 2015 Elsevier Inc. All rights reserved.

Developing Metacognition: A Basis for Active Learning

ERIC Educational Resources Information Center

Vos, Henk; de Graaff, E.

2004-01-01

The reasons to introduce formats of active learning in engineering (ALE) such as project work, problem-based learning, use of cases, etc. are mostly based on practical experience, and sometimes from applied research on teaching and learning. Such research shows that students learn more and different abilities than in traditional formats of…

Work-based learning and the role of managers.

PubMed

Moore, Lesley

2010-09-01

Healthcare policy makers have advocated the introduction of work-based learning (WBL) methods to help improve care. Some healthcare professionals and academics do not support WBL, however, possibly because they experienced, and value, traditional learning methods. This article reports on one of the findings of a longitudinal evaluation of WBL among registered nurses and highlights the pivotal role that managers play in supporting WBL.

Learning structure-property relationship in crystalline materials: A study of lanthanide-transition metal alloys

NASA Astrophysics Data System (ADS)

Pham, Tien-Lam; Nguyen, Nguyen-Duong; Nguyen, Van-Doan; Kino, Hiori; Miyake, Takashi; Dam, Hieu-Chi

2018-05-01

We have developed a descriptor named Orbital Field Matrix (OFM) for representing material structures in datasets of multi-element materials. The descriptor is based on the information regarding atomic valence shell electrons and their coordination. In this work, we develop an extension of OFM called OFM1. We have shown that these descriptors are highly applicable in predicting the physical properties of materials and in providing insights on the materials space by mapping into a low embedded dimensional space. Our experiments with transition metal/lanthanide metal alloys show that the local magnetic moments and formation energies can be accurately reproduced using simple nearest-neighbor regression, thus confirming the relevance of our descriptors. Using kernel ridge regressions, we could accurately reproduce formation energies and local magnetic moments calculated based on first-principles, with mean absolute errors of 0.03 μB and 0.10 eV/atom, respectively. We show that meaningful low-dimensional representations can be extracted from the original descriptor using descriptive learning algorithms. Intuitive prehension on the materials space, qualitative evaluation on the similarities in local structures or crystalline materials, and inference in the designing of new materials by element substitution can be performed effectively based on these low-dimensional representations.

Kolb's Experiential Learning Theory: A Meta-Model for Career Exploration.

ERIC Educational Resources Information Center

Atkinson, George, Jr.; Murrell, Patricia H.

1988-01-01

Kolb's experiential learning theory offers the career counselor a meta-model with which to structure career exploration exercises and ensure a thorough investigation of self and the world of work in a manner that provides the client with an optimal amount of learning and personal development. (Author)

FILMIC COMMUNICATION AND COMPLEX LEARNING. WORKING PAPER NO. 4.

ERIC Educational Resources Information Center

PRYLUCK, CALVIN

RESEARCH AND EXPERIENCE SHOW THAT FILM IS MORE EFFECTIVE IN FACTUAL LEARNING AND IN PERCEPTUAL MOTOR LEARNING THAN IN TEACHING RATIONAL ACTIVITIES. LANGUAGE AND FILM HAVE DIFFERENT STRUCTURES WHICH DETERMINE THEIR FUNCTIONS IN INSTRUCTIONAL SETTINGS. ESSENTIALLY, PICTURES ARE INDUCTIVE WHILE LANGUAGE IS DEDUCTIVE. LANGUAGE IS CAPABLE OF NUMBERLESS…

Supervisors Need Support, Too

ERIC Educational Resources Information Center

Martin, James G.

2017-01-01

In recent years, there has been an increasing focus on professional learning structures for teaching and finding ways to embed this learning into the daily work of teachers. This is premised on the understanding that one-shot professional development yields little transfer or change of practice to ultimately impact student learning. But how has…

Crossing Boundaries between School and Work during Apprenticeships

ERIC Educational Resources Information Center

Akkerman, Sanne F.; Bakker, Arthur

2012-01-01

In vocational education, there is an ongoing discussion about problems occurring in school-work transitions and in relating school and work-based learning processes. Apprenticeships have been identified as valuable learning and working trajectories for making successful transitions and relations between school and work. However, they have been…

Reflection for Learning, Learning for Reflection: Developing Indigenous Competencies in Higher Education

ERIC Educational Resources Information Center

Bennett, Dawn; Power, Anne; Thomson, Chris; Mason, Bonita; Bartleet, Brydie-Leigh

2016-01-01

Reflection is an essential part of students' critically reflective development within experiential-learning contexts; it is arguably even more important when working cross-culturally. This paper reports from a national, arts-based service-learning project in which students in creative arts, media and journalism, and preservice teachers worked with…

Learning for Renewal; Learning in a Trade Union Practice

ERIC Educational Resources Information Center

Kopsen, Susanne

2011-01-01

Purpose: The purpose of this paper is to analyze learning in a Swedish trade union board in a workplace, according to contemporary challenges in working life and conditions, of decentralization and local independency of trade union work and learning. Design/methodology/approach: The paper is based on ethnographic studies of two Swedish local trade…

Structural conceptualization of learning experiences in nursing master's degree programs utilized in occupational health nursing activities.

PubMed

Aoyama, Wakako; Tatsumi, Asami

2017-01-31

In this study, concepts were constructed that express learning experiences in nursing master's degree programs utilized in occupational health nursing activities with the aim of clarifying those characteristics. This was based on the idea that elucidation of the characteristics of learning experiences in nursing master's degree programs used in occupational health nursing activities would be meaningful in providing high-quality occupational health services that respond to the needs of society. Semi-structured interviews were conducted with 10 people who fulfilled the three conditions of having completed a master's degree programs, working as an occupational health nurse after completion of the program, and not continuing on to a doctoral program. The nursing conceptualization method of Naomi Funashima was used. From the obtained data, 512 code items expressing learning experiences in master's degree programs utilized in occupational health nursing activities were identified. These items included five core categories (concepts), 34 categories, and 69 subcategories. The five concepts constructed were "Pursuit of expertise and self-evaluation," "Mutual understanding of various people that leads to human resources utilization," "Theoretical and academic learning that influences changes in activities," "Research learning that lead to activities based on scientific evidence," and "Learning that leads to high-quality activities making use of expertise." It was found that various learning experiences in the master's program to pursue the specialty of occupational health nurses in order to recognize their roles as well as the experiences to take the initiative in learning had been integrated in their activities after completion of the course and had contributed to their high-quality occupational health nursing activities. It was suggested that the learning experiences in the master's program, which had been revealed in this study, were the experiences necessary for providing high-quality occupational health nursing activities to satisfy the social needs.

Problem based learning in midwifery - the teachers perspective.

PubMed

Rowan, Catherine J; McCourt, Christine; Bick, Debra; Beake, Sarah

2007-02-01

Problem- or evidence-based learning (PBL or EBL) has become more widely used in the education of health professionals. Although there has been research exploring its effectiveness and the student's perspective, there has been little research exploring the perceptions of the teacher. The objective of this study was to investigate the experiences of teachers facilitating a problem based learning curriculum in midwifery. The study took place at Thames Valley University, which has implemented this approach across the entire curriculum. Semi-structured interviews were undertaken following random selection from two groups of teachers; those more experienced as teachers and those who had entered teaching more recently. Aspects of the teacher's role identified included questioning students to draw out their knowledge and understanding and to help students challenge each other, discuss and evaluate their learning. Strategies used varied depending on the stage of the programme. Difficulties encountered were mostly in relation to facilitating groups of differing backgrounds and ability and seeking to enable the students to work well together. Key challenges for teachers were in relation to developing facilitation skills, balancing input or guidance with facilitating independent learning. Problem based learning was perceived to be beneficial in helping students relate theory to practice and in encouraging an active and enquiring approach to evidence, but teachers raised important questions about its practice. Tensions were identified between the constructivist theories on which the model of PBL rests and the formal requirements of an externally regulated professional curriculum.

Developing cultural competence through self-reflection in interprofessional education: Findings from an Australian university.

PubMed

Olson, Rebecca; Bidewell, John; Dune, Tinashe; Lessey, Nkosi

2016-05-01

Interprofessional education and cultural competence are both necessary for health professionals working in interprofessional teams serving diverse populations. Using a pre-post-survey case series design, this study evaluates a novel learning activity designed to encourage self-reflection and cultural competence in an Australian interprofessional education context. Undergraduate health professional students in a large subject viewed three 7-15 minute videos featuring interviews with persons of a minority cultural, linguistic, or sexual group who were living with a disability or managing a health condition. Immediately afterwards, students in interprofessional groups completed a structured activity designed to promote interprofessional and cultural reflection. A localised version of a validated scale measured cultural competence before and after the learning activity. Results suggest the value of video-based learning activities based on real-life examples for improving cultural competence. Despite initially rating themselves highly, 64% of students (n = 273) improved their overall cultural competence, though only by M = 0.13, SD = 0.08, of a 5-point rating-scale interval. A nuanced approach to interpreting results is warranted; even slight increases may indicate improved cultural competence. Suggestions for improving the effectiveness of video-based cultural competence learning activities, based on qualitative findings, are provided. Overall the findings attest to the merit of group discussion in cultural competence learning activities in interprofessional education settings. However, the inclusion of group discussions within such learning activities should hinge on group dynamics.

Team Based Work. Symposium.

ERIC Educational Resources Information Center

2002

This document contains three papers from a symposium on team-based work in human resource development (HRD). "Toward Transformational Learning in Organizations: Effects of Model-II Governing Variables on Perceived Learning in Teams" (Blair K. Carruth) summarizes a study that indicated that, regardless of which Model-II variable (valid…

Managing Home and Work Responsibilities. Secondary Learning Guide 9. Project Connect. Linking Self-Family-Work.

ERIC Educational Resources Information Center

Emily Hall Tremaine Foundation, Inc., Hartford, CT.

This competency-based secondary learning guide on managing home and work responsibilities is part of a series that are adaptations of guides developed for adult consumer and homemaking education programs. The guides provide students with experiences that help them learn to do the following: make decisions; use creative approaches to solve…

Interface: Establishing Knowledge Networks between Higher Vocational Education and Businesses

ERIC Educational Resources Information Center

Kessels, Joseph; Kwakman, Kitty

2007-01-01

The emerging knowledge society is one of the main reasons that underlie the appearance of the interactive combination of learning and working in higher education. It is argued that the coop education system and work-based learning can become important instruments in integrating learning and working only if coop education is organized as a…

Balancing Work and Family. Secondary Learning Guide 5. Project Connect. Linking Self-Family-Work.

ERIC Educational Resources Information Center

Emily Hall Tremaine Foundation, Inc., Hartford, CT.

This competency-based secondary learning guide on balancing work and family is part of a series that are adaptations of guides developed for adult consumer and homemaking education programs. The guides provide students with experiences that help them learn to do the following: make decisions; use creative approaches to solve problems; establish…

A Study of the Effects of Competitive Team-Based Learning and Structured Academic Controversy on the Language Proficiency of Iranian EFL College Seniors

ERIC Educational Resources Information Center

Hosseini, Seyed Mohammad Hassan

2012-01-01

This paper presents reports on an experimental study which intended to look into and compare the possible effects of this researcher's instructional innovation, Competitive Team-Based Learning (CTBL), with Structured Academic Controversy (SAC) -- the most popular method of Cooperative Learning (CL) -- on language proficiency of Iranian EFL college…

An Energy-Efficient and Scalable Deep Learning/Inference Processor With Tetra-Parallel MIMD Architecture for Big Data Applications.

PubMed

Park, Seong-Wook; Park, Junyoung; Bong, Kyeongryeol; Shin, Dongjoo; Lee, Jinmook; Choi, Sungpill; Yoo, Hoi-Jun

2015-12-01

Deep Learning algorithm is widely used for various pattern recognition applications such as text recognition, object recognition and action recognition because of its best-in-class recognition accuracy compared to hand-crafted algorithm and shallow learning based algorithms. Long learning time caused by its complex structure, however, limits its usage only in high-cost servers or many-core GPU platforms so far. On the other hand, the demand on customized pattern recognition within personal devices will grow gradually as more deep learning applications will be developed. This paper presents a SoC implementation to enable deep learning applications to run with low cost platforms such as mobile or portable devices. Different from conventional works which have adopted massively-parallel architecture, this work adopts task-flexible architecture and exploits multiple parallelism to cover complex functions of convolutional deep belief network which is one of popular deep learning/inference algorithms. In this paper, we implement the most energy-efficient deep learning and inference processor for wearable system. The implemented 2.5 mm × 4.0 mm deep learning/inference processor is fabricated using 65 nm 8-metal CMOS technology for a battery-powered platform with real-time deep inference and deep learning operation. It consumes 185 mW average power, and 213.1 mW peak power at 200 MHz operating frequency and 1.2 V supply voltage. It achieves 411.3 GOPS peak performance and 1.93 TOPS/W energy efficiency, which is 2.07× higher than the state-of-the-art.

Rule-Based Category Learning in Children: The Role of Age and Executive Functioning

PubMed Central

Rabi, Rahel; Minda, John Paul

2014-01-01

Rule-based category learning was examined in 4–11 year-olds and adults. Participants were asked to learn a set of novel perceptual categories in a classification learning task. Categorization performance improved with age, with younger children showing the strongest rule-based deficit relative to older children and adults. Model-based analyses provided insight regarding the type of strategy being used to solve the categorization task, demonstrating that the use of the task appropriate strategy increased with age. When children and adults who identified the correct categorization rule were compared, the performance deficit was no longer evident. Executive functions were also measured. While both working memory and inhibitory control were related to rule-based categorization and improved with age, working memory specifically was found to marginally mediate the age-related improvements in categorization. When analyses focused only on the sample of children, results showed that working memory ability and inhibitory control were associated with categorization performance and strategy use. The current findings track changes in categorization performance across childhood, demonstrating at which points performance begins to mature and resemble that of adults. Additionally, findings highlight the potential role that working memory and inhibitory control may play in rule-based category learning. PMID:24489658

Developing midwifery practice through work-based learning: an exploratory study.

PubMed

Marshall, Jayne E

2012-09-01

To explore what effect the introduction of a Work-Based Learning Module undertaken by midwives in a range of maternity settings has had on their personal professional development, as well as the impact on developing local maternity and neonatal care provision. A case study approach was used consisting of mixed methods. Quantitative data were collected through questionnaires from midwives and their Clinical Supervisors at the end of the module, with a survey questionnaire to each midwifery manager, six months following the implementation of the midwives' project in practice. Qualitative data were collected by focus groups at six different work place locations, with health professionals who had experienced the midwives' projects within the workplace. Quantitative data were manually analysed whereas content analysis was used to identify recurrent themes from the qualitative data, with the support of Computer Assisted Qualitative Data Analysis Software. The University of Nottingham granted ethical approval for the study. Twelve midwives who undertook the work-based module, their respective Clinical Supervisors (n = 12), their employers/managers (n = 12) and health professionals (n = 28) within six individual National Health Service Trusts in the East Midlands of the United Kingdom took part in the study. The work-based learning module not only led to the personal and professional development of the midwife, but also to improving multi-professional collaboration and the consequential development of maternity services within the local Trusts. The value of leading change by completing an innovative and tangible work-based project through a flexible mode of study strengthened the midwives' clinical credibility among colleagues and employers and supports the philosophy of inter-professional learning and working. This novel Work Based approach to learning has the potential to further develop the provision of post-registration education for midwives and other health professionals, as it helps to bridge the theory-practice gap. Learning in the workplace is efficient and cost effective to employee and employer and serves in increasing the link between higher education and the workplace. Furthermore, as the principles of work-based learning could be transferred to other contexts outside of the United Kingdom, such an approach has the potential to directly influence the development of global midwifery education and maternity services and ultimately benefit mothers, their babies and families throughout the world. Copyright © 2012 Elsevier Ltd. All rights reserved.

Automatic processing of spoken dialogue in the home hemodialysis domain.

PubMed

Lacson, Ronilda; Barzilay, Regina

2005-01-01

Spoken medical dialogue is a valuable source of information, and it forms a foundation for diagnosis, prevention and therapeutic management. However, understanding even a perfect transcript of spoken dialogue is challenging for humans because of the lack of structure and the verbosity of dialogues. This work presents a first step towards automatic analysis of spoken medical dialogue. The backbone of our approach is an abstraction of a dialogue into a sequence of semantic categories. This abstraction uncovers structure in informal, verbose conversation between a caregiver and a patient, thereby facilitating automatic processing of dialogue content. Our method induces this structure based on a range of linguistic and contextual features that are integrated in a supervised machine-learning framework. Our model has a classification accuracy of 73%, compared to 33% achieved by a majority baseline (p<0.01). This work demonstrates the feasibility of automatically processing spoken medical dialogue.

Super-resolution reconstruction of MR image with a novel residual learning network algorithm

NASA Astrophysics Data System (ADS)

Shi, Jun; Liu, Qingping; Wang, Chaofeng; Zhang, Qi; Ying, Shihui; Xu, Haoyu

2018-04-01

Spatial resolution is one of the key parameters of magnetic resonance imaging (MRI). The image super-resolution (SR) technique offers an alternative approach to improve the spatial resolution of MRI due to its simplicity. Convolutional neural networks (CNN)-based SR algorithms have achieved state-of-the-art performance, in which the global residual learning (GRL) strategy is now commonly used due to its effectiveness for learning image details for SR. However, the partial loss of image details usually happens in a very deep network due to the degradation problem. In this work, we propose a novel residual learning-based SR algorithm for MRI, which combines both multi-scale GRL and shallow network block-based local residual learning (LRL). The proposed LRL module works effectively in capturing high-frequency details by learning local residuals. One simulated MRI dataset and two real MRI datasets have been used to evaluate our algorithm. The experimental results show that the proposed SR algorithm achieves superior performance to all of the other compared CNN-based SR algorithms in this work.

Integrating Problem-Based Learning with Community-Engaged Learning in Teaching Program Development and Implementation

ERIC Educational Resources Information Center

Hou, Su-I

2014-01-01

Purpose: Problem-based learning (PBL) challenges students to learn and work in groups to seek solutions to real world problems. Connecting academic study with community-engaged learning (CEL) experience can deeper learning and thinking. This paper highlights the integration of PBL with CEL in the Implementation Course to engage graduate students…

An Intelligent E-Learning System Based on Learner Profiling and Learning Resources Adaptation

ERIC Educational Resources Information Center

Tzouveli, Paraskevi; Mylonas, Phivos; Kollias, Stefanos

2008-01-01

Taking advantage of the continuously improving, web-based learning systems plays an important role for self-learning, especially in the case of working people. Nevertheless, learning systems do not generally adapt to learners' profiles. Learners have to spend a lot of time before reaching the learning goal that is compatible with their knowledge…

Interprofessional education as part of becoming a doctor or physiotherapist in a competency-based curriculum

PubMed Central

Sander, Oliver; Schmidt, Regine; Rehkämper, Gerd; Lögters, Tim; Zilkens, Christoph; Schneider, Matthias

2016-01-01

Introduction: Interprofessional learning is a critical pre-requisite for future interprofessional work. Structural adaptations in education offer possibilities to introduce new concepts. Rheumatic and musculoskeletal diseases (RMD) are both prevented and treated by physicians and physiotherapists but the development of interprofessional roles is seldom part of curricula. Project description: A complex, longitudinal interprofessional educational approach for future doctors and physiotherapists was designed and implanted at various stages (anatomy, physical examination, pathology, therapy). Most segments of the RMD curriculum are now based on interprofessional classes. Student satisfaction with learning is continually and comparatively evaluated. Learning success is assessed with practical and written exams. Results: Interprofessional teaching was first introduced in 2013 for 420 first-year and 360 fourth-year medical students, along with 40 first- and third-year physiotherapy majors. The satisfaction with teaching and learning is high and distinctly above average for all teaching areas (satisfaction RMD rated as 2.4; average for all is 3.3). The percentage of those who pass the final exam is 94%. 100% of the students surveyed support the continuation of this interprofessional unit. Conclusion: Interprofessional teaching of RMD can be successfully implemented for future physicians and physiotherapists at different learning levels. PMID:27280126

Interprofessional education as part of becoming a doctor or physiotherapist in a competency-based curriculum.

PubMed

Sander, Oliver; Schmidt, Regine; Rehkämper, Gerd; Lögters, Tim; Zilkens, Christoph; Schneider, Matthias

2016-01-01

Interprofessional learning is a critical pre-requisite for future interprofessional work. Structural adaptations in education offer possibilities to introduce new concepts. Rheumatic and musculoskeletal diseases (RMD) are both prevented and treated by physicians and physiotherapists but the development of interprofessional roles is seldom part of curricula. A complex, longitudinal interprofessional educational approach for future doctors and physiotherapists was designed and implanted at various stages (anatomy, physical examination, pathology, therapy). Most segments of the RMD curriculum are now based on interprofessional classes. Student satisfaction with learning is continually and comparatively evaluated. Learning success is assessed with practical and written exams. Interprofessional teaching was first introduced in 2013 for 420 first-year and 360 fourth-year medical students, along with 40 first- and third-year physiotherapy majors. The satisfaction with teaching and learning is high and distinctly above average for all teaching areas (satisfaction RMD rated as 2.4; average for all is 3.3). The percentage of those who pass the final exam is 94%. 100% of the students surveyed support the continuation of this interprofessional unit. Interprofessional teaching of RMD can be successfully implemented for future physicians and physiotherapists at different learning levels.

Atypical birdsong and artificial languages provide insights into how communication systems are shaped by learning, use, and transmission.

PubMed

Fehér, Olga

2017-02-01

In this article, I argue that a comparative approach focusing on the cognitive capacities and behavioral mechanisms that underlie vocal learning in songbirds and humans can provide valuable insights into the evolutionary origins of language. The experimental approaches I discuss use abnormal song and atypical linguistic input to study the processes of individual learning, social interaction, and cultural transmission. Atypical input places increased learning and communicative pressure on learners, so exploring how they respond to this type of input provides a particularly clear picture of the biases and constraints at work during learning and use. Furthermore, simulating the cultural transmission of these unnatural communication systems in the laboratory informs us about how learning and social biases influence the structure of communication systems in the long run. Findings based on these methods suggest fundamental similarities in the basic social-cognitive mechanisms underlying vocal learning in birds and humans, and continuing research promises insights into the uniquely human mechanisms and into how human cognition and social behavior interact, and ultimately impact on the evolution of language.

A machine learning approach to the potential-field method for implicit modeling of geological structures

NASA Astrophysics Data System (ADS)

Gonçalves, Ítalo Gomes; Kumaira, Sissa; Guadagnin, Felipe

2017-06-01

Implicit modeling has experienced a rise in popularity over the last decade due to its advantages in terms of speed and reproducibility in comparison with manual digitization of geological structures. The potential-field method consists in interpolating a scalar function that indicates to which side of a geological boundary a given point belongs to, based on cokriging of point data and structural orientations. This work proposes a vector potential-field solution from a machine learning perspective, recasting the problem as multi-class classification, which alleviates some of the original method's assumptions. The potentials related to each geological class are interpreted in a compositional data framework. Variogram modeling is avoided through the use of maximum likelihood to train the model, and an uncertainty measure is introduced. The methodology was applied to the modeling of a sample dataset provided with the software Move™. The calculations were implemented in the R language and 3D visualizations were prepared with the rgl package.

Dynamic functional connectivity using state-based dynamic community structure: method and application to opioid analgesia.

PubMed

Robinson, Lucy F; Atlas, Lauren Y; Wager, Tor D

2015-03-01

We present a new method, State-based Dynamic Community Structure, that detects time-dependent community structure in networks of brain regions. Most analyses of functional connectivity assume that network behavior is static in time, or differs between task conditions with known timing. Our goal is to determine whether brain network topology remains stationary over time, or if changes in network organization occur at unknown time points. Changes in network organization may be related to shifts in neurological state, such as those associated with learning, drug uptake or experimental conditions. Using a hidden Markov stochastic blockmodel, we define a time-dependent community structure. We apply this approach to data from a functional magnetic resonance imaging experiment examining how contextual factors influence drug-induced analgesia. Results reveal that networks involved in pain, working memory, and emotion show distinct profiles of time-varying connectivity. Copyright © 2014 Elsevier Inc. All rights reserved.

With Little Research out There It's a Matter of Learning What Works in Teaching Students with Deafness and Autism

ERIC Educational Resources Information Center

Bradley, Lee Ann; Krakowski, Brandi; Thiessen, Ann

2008-01-01

The development of language and literacy is the foundation for all other learning. This statement is the guiding philosophy at the Iowa School for the Deaf (ISD). Teachers at ISD believe that intensive, highly structured early intervention and education work best to support cognitive and communication development in their students. However, little…

The Development, Validation and Use of the Rural and Remote Teaching, Working, Living and Learning Environment Survey (RRTWLLES)

ERIC Educational Resources Information Center

Dorman, Jeffrey; Kennedy, Joy; Young, Janelle

2015-01-01

Research in rural and remote schools and communities of Queensland resulted in the development and validation of the Rural and Remote Teaching, Working, Living and Learning Environment Survey (RRTWLLES). Samples of 252 teachers and 191 community members were used to validate the structure of this questionnaire. It was developed within the standard…

Learning from Experience. A Handbook for Adult Women Students.

ERIC Educational Resources Information Center

Branch, Audrey; And Others

This handbook is a guide to making the most of a work experience educational program for adult women. It is appropriate for independent study or use in a structured program. Part 1 on preparing oneself for a work experience educational program is designed to guide a woman in learning more about herself. Each of the seven sections contains some…

Moving from the Classroom to the Workplace: A Service-Learning Case Study of a Media Production Capstone Course

ERIC Educational Resources Information Center

Giese, Mark

2013-01-01

This is a case study of how a capstone course, Producing and Directing, evolved into a service-learning course designed to provide graduating students with real-world workplace experience. It will examine issues including course structure, grading issues, course and client logistics, unaddressed skill sets, group work, and work-product quality…

The Use of Personal Digital Assistants as Tools for Work-Based Learning in Clinical Internships

ERIC Educational Resources Information Center

Akkerman, Sanne; Filius, Renee

2011-01-01

Though mobile technologies have been studied, their specific value in supporting work-based learning has not yet been investigated. This paper describes a small exploratory study in health care education in which medical students work in clinical practice. The study investigates both the perceived potential as well as the actual role of PDAs in…

Writing the Book…Literally: The Convergence of Authentic Intellectual Work (AIW) and Project-Based Learning (PBL)

ERIC Educational Resources Information Center

Buckmiller, Tom M.; Kruse, Jerrid W.

2015-01-01

Using the Project-Based Learning (PBL) and Authentic Intellectual Work (AIW) models, we sought to create coursework that had value beyond the classroom. Refinements in the self-publishing book industry provide the opportunity to present student work to a larger audience and in a different, more engaging format. With the help of free software, our…

Ensemble based adaptive over-sampling method for imbalanced data learning in computer aided detection of microaneurysm.

PubMed

Ren, Fulong; Cao, Peng; Li, Wei; Zhao, Dazhe; Zaiane, Osmar

2017-01-01

Diabetic retinopathy (DR) is a progressive disease, and its detection at an early stage is crucial for saving a patient's vision. An automated screening system for DR can help in reduce the chances of complete blindness due to DR along with lowering the work load on ophthalmologists. Among the earliest signs of DR are microaneurysms (MAs). However, current schemes for MA detection appear to report many false positives because detection algorithms have high sensitivity. Inevitably some non-MAs structures are labeled as MAs in the initial MAs identification step. This is a typical "class imbalance problem". Class imbalanced data has detrimental effects on the performance of conventional classifiers. In this work, we propose an ensemble based adaptive over-sampling algorithm for overcoming the class imbalance problem in the false positive reduction, and we use Boosting, Bagging, Random subspace as the ensemble framework to improve microaneurysm detection. The ensemble based over-sampling methods we proposed combine the strength of adaptive over-sampling and ensemble. The objective of the amalgamation of ensemble and adaptive over-sampling is to reduce the induction biases introduced from imbalanced data and to enhance the generalization classification performance of extreme learning machines (ELM). Experimental results show that our ASOBoost method has higher area under the ROC curve (AUC) and G-mean values than many existing class imbalance learning methods. Copyright © 2016 Elsevier Ltd. All rights reserved.

Automatic detection of voice impairments by means of short-term cepstral parameters and neural network based detectors.

PubMed

Godino-Llorente, J I; Gómez-Vilda, P

2004-02-01

It is well known that vocal and voice diseases do not necessarily cause perceptible changes in the acoustic voice signal. Acoustic analysis is a useful tool to diagnose voice diseases being a complementary technique to other methods based on direct observation of the vocal folds by laryngoscopy. Through the present paper two neural-network based classification approaches applied to the automatic detection of voice disorders will be studied. Structures studied are multilayer perceptron and learning vector quantization fed using short-term vectors calculated accordingly to the well-known Mel Frequency Coefficient cepstral parameterization. The paper shows that these architectures allow the detection of voice disorders--including glottic cancer--under highly reliable conditions. Within this context, the Learning Vector quantization methodology demonstrated to be more reliable than the multilayer perceptron architecture yielding 96% frame accuracy under similar working conditions.

Accurate force field for molybdenum by machine learning large materials data

NASA Astrophysics Data System (ADS)

Chen, Chi; Deng, Zhi; Tran, Richard; Tang, Hanmei; Chu, Iek-Heng; Ong, Shyue Ping

2017-09-01

In this work, we present a highly accurate spectral neighbor analysis potential (SNAP) model for molybdenum (Mo) developed through the rigorous application of machine learning techniques on large materials data sets. Despite Mo's importance as a structural metal, existing force fields for Mo based on the embedded atom and modified embedded atom methods do not provide satisfactory accuracy on many properties. We will show that by fitting to the energies, forces, and stress tensors of a large density functional theory (DFT)-computed dataset on a diverse set of Mo structures, a Mo SNAP model can be developed that achieves close to DFT accuracy in the prediction of a broad range of properties, including elastic constants, melting point, phonon spectra, surface energies, grain boundary energies, etc. We will outline a systematic model development process, which includes a rigorous approach to structural selection based on principal component analysis, as well as a differential evolution algorithm for optimizing the hyperparameters in the model fitting so that both the model error and the property prediction error can be simultaneously lowered. We expect that this newly developed Mo SNAP model will find broad applications in large and long-time scale simulations.

Managing the Complexity of Design Problems through Studio-Based Learning

ERIC Educational Resources Information Center

Cennamo, Katherine; Brandt, Carol; Scott, Brigitte; Douglas, Sarah; McGrath, Margarita; Reimer, Yolanda; Vernon, Mitzi

2011-01-01

The ill-structured nature of design problems makes them particularly challenging for problem-based learning. Studio-based learning (SBL), however, has much in common with problem-based learning and indeed has a long history of use in teaching students to solve design problems. The purpose of this ethnographic study of an industrial design class,…

OpenCL based machine learning labeling of biomedical datasets

NASA Astrophysics Data System (ADS)

Amoros, Oscar; Escalera, Sergio; Puig, Anna

2011-03-01

In this paper, we propose a two-stage labeling method of large biomedical datasets through a parallel approach in a single GPU. Diagnostic methods, structures volume measurements, and visualization systems are of major importance for surgery planning, intra-operative imaging and image-guided surgery. In all cases, to provide an automatic and interactive method to label or to tag different structures contained into input data becomes imperative. Several approaches to label or segment biomedical datasets has been proposed to discriminate different anatomical structures in an output tagged dataset. Among existing methods, supervised learning methods for segmentation have been devised to easily analyze biomedical datasets by a non-expert user. However, they still have some problems concerning practical application, such as slow learning and testing speeds. In addition, recent technological developments have led to widespread availability of multi-core CPUs and GPUs, as well as new software languages, such as NVIDIA's CUDA and OpenCL, allowing to apply parallel programming paradigms in conventional personal computers. Adaboost classifier is one of the most widely applied methods for labeling in the Machine Learning community. In a first stage, Adaboost trains a binary classifier from a set of pre-labeled samples described by a set of features. This binary classifier is defined as a weighted combination of weak classifiers. Each weak classifier is a simple decision function estimated on a single feature value. Then, at the testing stage, each weak classifier is independently applied on the features of a set of unlabeled samples. In this work, we propose an alternative representation of the Adaboost binary classifier. We use this proposed representation to define a new GPU-based parallelized Adaboost testing stage using OpenCL. We provide numerical experiments based on large available data sets and we compare our results to CPU-based strategies in terms of time and labeling speeds.

The use of information and communication technologies to support working carers of older people - a qualitative secondary analysis.

PubMed

Andersson, Stefan; Magnusson, Lennart; Hanson, Elizabeth

2016-03-01

Family care support services have mainly focused on older spousal carers of older people and have largely overlooked working carers, whom combine paid work with informal/family care responsibilities. Recently, however, information and communication technology (ICT) systems have been identified as a potentially flexible way of supporting working carers. The aim of this study was to describe nursing and support staff's experiences of using ICT for information, e-learning and support of working carers of older people. The study employed a descriptive, qualitative approach conducting a qualitative secondary analysis of two original data sets. In total, seventeen professional staff members from two municipal family carer support units in Sweden that had implemented ICTs were interviewed using a semi-structured interview guide consisting of open-ended questions. Two data sets were merged using latent qualitative content analysis. Secondary analysis produced three subthemes and an overall theme, a virtual road as a carriageway for the support of working carers, consisting of both enabling and hindering aspects in family support. This theme provides access points in both directions and is based on caring instruments that enable nursing staff's support role. The staff's sustainability and ability to support is influenced by caring opportunities and barriers. The findings suggest the ICTs to be flexible structures that provided nursing staff with a means and method to support working carers of older people. To overcome barriers to its use, measures to optimise support for working carers and the older person are needed. The use of ICTs provides nurses with a means to offer support to working carers of older people and enables carers to be informed, to learn and to share their burdens with others when caring for an older family member. © 2015 John Wiley & Sons Ltd.

Challenges of CPD for physiotherapists working as lone practitioners in amputee rehabilitation.

PubMed

Cole, Mary Jane; Morris, Jane; Scammell, Amy

2008-09-01

The aim of this study was to explore the issues around continuing professional development (CPD) for physiotherapists working as lone practitioners in amputee rehabilitation in the United Kingdom (UK). Qualitative method using a phenomenological approach via one to one semi-structured interviews and thematic data analysis. Ten physiotherapists with responsibility for amputee rehabilitation working as lone practitioners in hospitals or specialist centres in the UK. CPD is valued and there is commitment towards the process. Current solutions are identified but there are frustrations around more structured CPD and organizational issues. These include inadequate access to learning opportunities, lack of professional feedback, insufficient time and limited learning skills. There are opportunities for improving CPD through organizational structures but specialist input is recommended to support lone practitioners and managers with the process, e.g., consultant or peripatetic therapists.

Social Inclusion and Learning Networks: A "Wider Notion of Learning" or Taking Things in a Different Direction?

ERIC Educational Resources Information Center

O'Brien, Mark; Atkinson, Amanda; Burton, Diana; Campbell, Anne; Qualter, Anne; Varga-Atkins, Tunde

2009-01-01

This article has been produced from the work of a research project conducted in the context of a city-wide education service in the United Kingdom. This was the Liverpool Learning Networks Research Project, which began in July 2005. The researchers carried out semi-structured interviews with education practitioners--learning network…

The Impact of Organisational Structure and Practices on Learning in the Workplace

ERIC Educational Resources Information Center

Ashton, David N.

2004-01-01

The main thrust of the research effort into workplace learning has been to identify the characteristics of workplace learning as experienced by the learner. The impact of the wider organisational process in which that learning is embedded have been played down. This paper, building on the work of Koike and Darrah, uses research conducted in a…

The Moderating Effects of Group Work on the Relationship Between Motivation and Cognitive Load

ERIC Educational Resources Information Center

Costley, Jamie; Lange, Christopher

2018-01-01

Semi-formal learning is used to describe learning that is directed towards the goals of a formal learning institution but outside of the learning structure of a specific class. Students studying online may form semi-formal groups to increase their knowledge of the content by interacting with other learners taking the same class. This study of…

Cross-Cultural Comparisons of University Students' Science Learning Self-Efficacy: Structural Relationships among Factors within Science Learning Self-Efficacy

ERIC Educational Resources Information Center

Wang, Ya-Ling; Liang, Jyh-Chong; Tsai, Chin-Chung

2018-01-01

Science learning self-efficacy could be regarded as a multi-factor belief which comprises different aspects such as cognitive skills, practical work, and everyday application. However, few studies have investigated the relationships among these factors that compose science learning self-efficacy. Also, culture may play an important role in…

Pedagogical Beliefs in Work-Based Learning: An Analysis and Implications of Teachers' Belief Orientations

ERIC Educational Resources Information Center

Abukari, Abdulai

2014-01-01

This paper presents findings of a research project that aimed to critically examine the pedagogical beliefs of work-based learning teachers, and their potential implication on practice and expectations of learners and employers. Based on an online tool, qualitative and quantitative (descriptive) data were generated from a purposive sample of some…

Effect of an Experiential and Work-Based Learning Program on Vocational Identity, Career Decision Self-Efficacy, and Career Maturity

ERIC Educational Resources Information Center

Esters, Levon T.; Retallick, Michael S.

2013-01-01

This exploratory study examined the effect of an agriculturally-based experiential and work-based learning program, Science With Practice (SWP), on the vocational identity, career decision self-efficacy, and career maturity of undergraduate agriculture and life sciences students. The SWP experience helped clarify students' career interests and…

WE-G-18A-04: 3D Dictionary Learning Based Statistical Iterative Reconstruction for Low-Dose Cone Beam CT Imaging

DOE Office of Scientific and Technical Information (OSTI.GOV)

Bai, T; UT Southwestern Medical Center, Dallas, TX; Yan, H

2014-06-15

Purpose: To develop a 3D dictionary learning based statistical reconstruction algorithm on graphic processing units (GPU), to improve the quality of low-dose cone beam CT (CBCT) imaging with high efficiency. Methods: A 3D dictionary containing 256 small volumes (atoms) of 3x3x3 voxels was trained from a high quality volume image. During reconstruction, we utilized a Cholesky decomposition based orthogonal matching pursuit algorithm to find a sparse representation on this dictionary basis of each patch in the reconstructed image, in order to regularize the image quality. To accelerate the time-consuming sparse coding in the 3D case, we implemented our algorithm inmore » a parallel fashion by taking advantage of the tremendous computational power of GPU. Evaluations are performed based on a head-neck patient case. FDK reconstruction with full dataset of 364 projections is used as the reference. We compared the proposed 3D dictionary learning based method with a tight frame (TF) based one using a subset data of 121 projections. The image qualities under different resolutions in z-direction, with or without statistical weighting are also studied. Results: Compared to the TF-based CBCT reconstruction, our experiments indicated that 3D dictionary learning based CBCT reconstruction is able to recover finer structures, to remove more streaking artifacts, and is less susceptible to blocky artifacts. It is also observed that statistical reconstruction approach is sensitive to inconsistency between the forward and backward projection operations in parallel computing. Using high a spatial resolution along z direction helps improving the algorithm robustness. Conclusion: 3D dictionary learning based CBCT reconstruction algorithm is able to sense the structural information while suppressing noise, and hence to achieve high quality reconstruction. The GPU realization of the whole algorithm offers a significant efficiency enhancement, making this algorithm more feasible for potential clinical application. A high zresolution is preferred to stabilize statistical iterative reconstruction. This work was supported in part by NIH(1R01CA154747-01), NSFC((No. 61172163), Research Fund for the Doctoral Program of Higher Education of China (No. 20110201110011), China Scholarship Council.« less

Web-based faculty development: e-learning for clinical teachers in the London Deanery.

PubMed

McKimm, Judy; Swanwick, Tim

2010-03-01

the London Deanery has provided a web-based resource for supporting the educational development needs of clinical teachers since 2002. This forms part of a range of resources supporting the professional development of clinical teachers and postgraduate supervisors. Following a review in 2007, the deanery commissioned a series of new e-learning modules designed as an introduction to clinical teaching. the deanery's faculty development initiatives are one response to requirements of the Postgraduate Medical Education and Training Board (PMETB), other policy drivers, workforce demands and service changes. Increasingly, doctors are required to provide an educational portfolio of evidence, and satisfy the teaching and training component of Good Medical Practice in revalidation or recertification. 'E-learning for clinical teachers' comprises 16 short, open-access, free-standing modules. The modules are built around a unifying structure, and cover core topics in clinical teaching: feedback; supervision; workplace-based learning; assessment; diversity and equal opportunities; career development; appraisal; lecturing; small group teaching; interprofessional education; and setting learning objectives. The modules can be used as a complementary resource to award-bearing programmes. On completion of a module, a certificate can be printed out for the teacher's portfolio. reflective practice and engagement with an individual's teaching practice is encouraged through self-assessment and a reflective log. The open-access, web-based format enables engagement with the material to suit a doctor's working and learning patterns, and is a valuable adjunct to other forms of learning. The site has been accessed by over 64000 health professionals (including students, trainees, qualified professionals, supervisors and staff developers) from 155 countries. Blackwell Publishing Ltd 2010.

INDIVIDUAL DIFFERENCES IN TASK-SPECIFIC PAIRED ASSOCIATES LEARNING IN OLDER ADULTS: THE ROLE OF PROCESSING SPEED AND WORKING MEMORY

PubMed Central

Kurtz, Tanja; Mogle, Jacqueline; Sliwinski, Martin J.; Hofer, Scott M.

2013-01-01

Background The role of processing speed and working memory was investigated in terms of individual differences in task-specific paired associates learning in a sample of older adults. Task-specific learning, as distinct from content-oriented item-specific learning, refers to gains in performance due to repeated practice on a learning task in which the to-be-learned material changes over trials. Methods Learning trajectories were modeled within an intensive repeated-measures design based on participants obtained from an opt-in internet-based sampling service (Mage = 65.3, SD = 4.81). Participants completed an eight-item paired associates task daily over a seven-day period. Results Results indicated that a three-parameter hyperbolic model (i.e., initial level, learning rate, and asymptotic performance) best described learning trajectory. After controlling for age-related effects, both higher working memory and higher processing speed had a positive effect on all three learning parameters. Conclusion These results emphasize the role of cognitive abilities for individual differences in task-specific learning of older adults. PMID:24151913

Collaborative Communication in Work Based Learning Programs

ERIC Educational Resources Information Center

Wagner, Stephen Allen

2017-01-01

This basic qualitative study, using interviews and document analysis, examined reflections from a Work Based Learning (WBL) program to understand how utilizing digital collaborative communication tools influence the educational experience. The Community of Inquiry (CoI) framework was used as a theoretical frame promoting the examination of the…

Predicting protein complexes using a supervised learning method combined with local structural information.

PubMed

Dong, Yadong; Sun, Yongqi; Qin, Chao

2018-01-01

The existing protein complex detection methods can be broadly divided into two categories: unsupervised and supervised learning methods. Most of the unsupervised learning methods assume that protein complexes are in dense regions of protein-protein interaction (PPI) networks even though many true complexes are not dense subgraphs. Supervised learning methods utilize the informative properties of known complexes; they often extract features from existing complexes and then use the features to train a classification model. The trained model is used to guide the search process for new complexes. However, insufficient extracted features, noise in the PPI data and the incompleteness of complex data make the classification model imprecise. Consequently, the classification model is not sufficient for guiding the detection of complexes. Therefore, we propose a new robust score function that combines the classification model with local structural information. Based on the score function, we provide a search method that works both forwards and backwards. The results from experiments on six benchmark PPI datasets and three protein complex datasets show that our approach can achieve better performance compared with the state-of-the-art supervised, semi-supervised and unsupervised methods for protein complex detection, occasionally significantly outperforming such methods.

Leadership collaboration during health reform: an action learning approach with an interagency group of executives in Tasmania.

PubMed

Harpur, Siobhan

2012-05-01

To use an action learning approach to encourage a group of executive leaders, responsible for the implementation of a state health reform agenda, to consider the leadership required to drive improvement in healthcare services. Based on an assertion that knowledge is co-produced and that deliberative and structured conversation can be a mechanism to drive change, an action learning approach was used to facilitate an interagency group of executive leaders, responsible for the implementation of a state health reform agenda, who were encouraged to consider the leadership required to drive improvement in healthcare services. It was difficult to assert how the group contributed specifically to the implementation of the health reform agenda but individuals gained insights and there was informal resolution of institutional tensions and differences. The method may provide new knowledge to the reform process over time. Getting the participants together was challenging, which may reflect the reality of time-poor executives, or a low commitment to giving time to structured and deliberative informal dialogue. Further work is required to test this thesis and the action learning approach with other parts of healthcare workforce.

Using a Game Environment to Foster Collaborative Learning: A Design-Based Study

ERIC Educational Resources Information Center

Hamalainen, Raija

2011-01-01

Designing collaborative three-dimensional learning games for vocational learning may be one way to respond to the needs of working life. The theoretical vantage points of collaborative learning for game development and the "design-based research" methodology are described; these have been used to support collaborative learning in the…

Practice-Based Learning and Improvement: A Dream that Can Become a Reality

ERIC Educational Resources Information Center

Manning, Phil R.

2003-01-01

Systematically enhancing learning from experience (practice-based learning) dominates the teachings of Sir Willian Osler and adult learning theorists such as Eduard Lindeman, Malcolm Knowles, and Cyril Houle. Because of time constraints, most physicians have not implemented methods that systematically facilitate learning from day-to-day work, but…

Embedding learning from adverse incidents: a UK case study.

PubMed

Eshareturi, Cyril; Serrant, Laura

2017-04-18

Purpose This paper reports on a regionally based UK study uncovering what has worked well in learning from adverse incidents in hospitals. The purpose of this paper is to review the incident investigation methodology used in identifying strengths or weaknesses and explore the use of a database as a tool to embed learning. Design/methodology/approach Documentary examination was conducted of all adverse incidents reported between 1 June 2011 and 30 June 2012 by three UK National Health Service hospitals. One root cause analysis report per adverse incident for each individual hospital was sent to an advisory group for a review. Using terms of reference supplied, the advisory group feedback was analysed using an inductive thematic approach. The emergent themes led to the generation of questions which informed seven in-depth semi-structured interviews. Findings "Time" and "work pressures" were identified as barriers to using adverse incident investigations as tools for quality enhancement. Methodologically, a weakness in approach was that no criteria influenced the techniques which were used in investigating adverse incidents. Regarding the sharing of learning, the use of a database as a tool to embed learning across the region was not supported. Practical implications Softer intelligence from adverse incident investigations could be usefully shared between hospitals through a regional forum. Originality/value The use of a database as a tool to facilitate the sharing of learning from adverse incidents across the health economy is not supported.

A sequence-based hybrid predictor for identifying conformationally ambivalent regions in proteins.

PubMed

Liu, Yu-Cheng; Yang, Meng-Han; Lin, Win-Li; Huang, Chien-Kang; Oyang, Yen-Jen

2009-12-03

Proteins are dynamic macromolecules which may undergo conformational transitions upon changes in environment. As it has been observed in laboratories that protein flexibility is correlated to essential biological functions, scientists have been designing various types of predictors for identifying structurally flexible regions in proteins. In this respect, there are two major categories of predictors. One category of predictors attempts to identify conformationally flexible regions through analysis of protein tertiary structures. Another category of predictors works completely based on analysis of the polypeptide sequences. As the availability of protein tertiary structures is generally limited, the design of predictors that work completely based on sequence information is crucial for advances of molecular biology research. In this article, we propose a novel approach to design a sequence-based predictor for identifying conformationally ambivalent regions in proteins. The novelty in the design stems from incorporating two classifiers based on two distinctive supervised learning algorithms that provide complementary prediction powers. Experimental results show that the overall performance delivered by the hybrid predictor proposed in this article is superior to the performance delivered by the existing predictors. Furthermore, the case study presented in this article demonstrates that the proposed hybrid predictor is capable of providing the biologists with valuable clues about the functional sites in a protein chain. The proposed hybrid predictor provides the users with two optional modes, namely, the high-sensitivity mode and the high-specificity mode. The experimental results with an independent testing data set show that the proposed hybrid predictor is capable of delivering sensitivity of 0.710 and specificity of 0.608 under the high-sensitivity mode, while delivering sensitivity of 0.451 and specificity of 0.787 under the high-specificity mode. Though experimental results show that the hybrid approach designed to exploit the complementary prediction powers of distinctive supervised learning algorithms works more effectively than conventional approaches, there exists a large room for further improvement with respect to the achieved performance. In this respect, it is of interest to investigate the effects of exploiting additional physiochemical properties that are related to conformational ambivalence. Furthermore, it is of interest to investigate the effects of incorporating lately-developed machine learning approaches, e.g. the random forest design and the multi-stage design. As conformational transition plays a key role in carrying out several essential types of biological functions, the design of more advanced predictors for identifying conformationally ambivalent regions in proteins deserves our continuous attention.

Cognitive Components Underpinning the Development of Model-Based Learning

PubMed Central

Potter, Tracey C.S.; Bryce, Nessa V.; Hartley, Catherine A.

2016-01-01

Reinforcement learning theory distinguishes “model-free” learning, which fosters reflexive repetition of previously rewarded actions, from “model-based” learning, which recruits a mental model of the environment to flexibly select goal-directed actions. Whereas model-free learning is evident across development, recruitment of model-based learning appears to increase with age. However, the cognitive processes underlying the development of model-based learning remain poorly characterized. Here, we examined whether age-related differences in cognitive processes underlying the construction and flexible recruitment of mental models predict developmental increases in model-based choice. In a cohort of participants aged 9–25, we examined whether the abilities to infer sequential regularities in the environment (“statistical learning”), maintain information in an active state (“working memory”) and integrate distant concepts to solve problems (“fluid reasoning”) predicted age-related improvements in model-based choice. We found that age-related improvements in statistical learning performance did not mediate the relationship between age and model-based choice. Ceiling performance on our working memory assay prevented examination of its contribution to model-based learning. However, age-related improvements in fluid reasoning statistically mediated the developmental increase in the recruitment of a model-based strategy. These findings suggest that gradual development of fluid reasoning may be a critical component process underlying the emergence of model-based learning. PMID:27825732

Student Responses Toward Student Worksheets Based on Discovery Learning for Students with Intrapersonal and Interpersonal Intelligence

NASA Astrophysics Data System (ADS)

Yerizon, Y.; Putra, A. A.; Subhan, M.

2018-04-01

Students have a low mathematical ability because they are used to learning to hear the teacher's explanation. For that students are given activities to sharpen his ability in math. One way to do that is to create discovery learning based work sheet. The development of this worksheet took into account specific student learning styles including in schools that have classified students based on multiple intelligences. The dominant learning styles in the classroom were intrapersonal and interpersonal. The purpose of this study was to discover students’ responses to the mathematics work sheets of the junior high school with a discovery learning approach suitable for students with Intrapersonal and Interpersonal Intelligence. This tool was developed using a development model adapted from the Plomp model. The development process of this tools consists of 3 phases: front-end analysis/preliminary research, development/prototype phase and assessment phase. From the results of the research, it is found that students have good response to the resulting work sheet. The worksheet was understood well by students and its helps student in understanding the concept learned.

Problem Solving and Game-Based Learning: Effects of Middle Grade Students' Hypothesis Testing Strategies on Learning Outcomes

ERIC Educational Resources Information Center

Spires, Hiller A.; Rowe, Jonathan P.; Mott, Bradford W.; Lester, James C.

2011-01-01

Targeted as a highly desired skill for contemporary work and life, problem solving is central to game-based learning research. In this study, middle grade students achieved significant learning gains from gameplay interactions that required solving a science mystery based on microbiology content. Student trace data results indicated that effective…

Quality of Learning Outcomes in an Online Video-Based Learning Community: Potential and Challenges for Student Teachers

ERIC Educational Resources Information Center

So, Winnie Wing-mui

2012-01-01

This study investigates the learning outcomes of 25 student teachers in an online video-based learning community (VBLC). Data were drawn from the student teachers' written comments and feedback recorded in the VBLC and the post-course interviews. Based on Biggs and Collis's Structure of Observed Learning Outcomes (SOLO) taxonomy, the majority of…

One-on-one tutorials in private practices and clinics: four years of experience in Basel, Switzerland.

PubMed

Tschudi, Peter; Bally, Klaus; Isler, Ruedi

2003-09-01

The one-on-one tutorial is a new form of learning that is practice oriented. It is based on a teacher-student relationship continuing over two years. Since 1997, third- and fourth-year students have worked for one half day per week under the supervision of their tutor, be it in a private practice or in a hospital. This programme facilitates direct patient contact at an early stage of medical school. In addition, it allows students to apply their knowledge in everyday life. The interactive form of learning is of paramount importance in this module. The ARIVA learning model was developed specially for third-year students and the logbook for fourth-year students. After each tutorial third-year students completed the ARI VA worksheet and fourth-year students completed the logbook. They were handed in together with the structured learning report. Between 85 and 109 students per year participated in these tutorials, totalling 733 students. Each student was taught an average of 3.1 patients in the presence of the tutor. In addition students examined an average of 2.4 patients independently and fulfilled an average of 1.2 practical tasks. For the fourth-year students the number of contacts with patients and the spectrum of diseases examined are impressive. All learning goals were fulfilled The one-on-one tutorial is a practice-oriented, interactive learning method. It uses a variety of didactic methods based on the principals of problem-oriented learning. In a relatively early stage of their medical education one-on-one tutorials give students the opportunity to learn independently how to interview and examine patients. They also give students the possibility to acquaint themselves with a multitude of diseases with the aid of instructions and demonstrations. They are conducive to work with patients above all because students learn how to perform certain techniques.

CW-SSIM kernel based random forest for image classification

NASA Astrophysics Data System (ADS)

Fan, Guangzhe; Wang, Zhou; Wang, Jiheng

2010-07-01

Complex wavelet structural similarity (CW-SSIM) index has been proposed as a powerful image similarity metric that is robust to translation, scaling and rotation of images, but how to employ it in image classification applications has not been deeply investigated. In this paper, we incorporate CW-SSIM as a kernel function into a random forest learning algorithm. This leads to a novel image classification approach that does not require a feature extraction or dimension reduction stage at the front end. We use hand-written digit recognition as an example to demonstrate our algorithm. We compare the performance of the proposed approach with random forest learning based on other kernels, including the widely adopted Gaussian and the inner product kernels. Empirical evidences show that the proposed method is superior in its classification power. We also compared our proposed approach with the direct random forest method without kernel and the popular kernel-learning method support vector machine. Our test results based on both simulated and realworld data suggest that the proposed approach works superior to traditional methods without the feature selection procedure.

Building blocks for automated elucidation of metabolites: machine learning methods for NMR prediction.

PubMed

Kuhn, Stefan; Egert, Björn; Neumann, Steffen; Steinbeck, Christoph

2008-09-25

Current efforts in Metabolomics, such as the Human Metabolome Project, collect structures of biological metabolites as well as data for their characterisation, such as spectra for identification of substances and measurements of their concentration. Still, only a fraction of existing metabolites and their spectral fingerprints are known. Computer-Assisted Structure Elucidation (CASE) of biological metabolites will be an important tool to leverage this lack of knowledge. Indispensable for CASE are modules to predict spectra for hypothetical structures. This paper evaluates different statistical and machine learning methods to perform predictions of proton NMR spectra based on data from our open database NMRShiftDB. A mean absolute error of 0.18 ppm was achieved for the prediction of proton NMR shifts ranging from 0 to 11 ppm. Random forest, J48 decision tree and support vector machines achieved similar overall errors. HOSE codes being a notably simple method achieved a comparatively good result of 0.17 ppm mean absolute error. NMR prediction methods applied in the course of this work delivered precise predictions which can serve as a building block for Computer-Assisted Structure Elucidation for biological metabolites.

Lost Soul or New Dawn? Lifelong Learning Lessons and Prospects from East Asia

ERIC Educational Resources Information Center

Duke, Chris

2015-01-01

Most learning takes place in communities, neighbourhoods and workplaces. Here practical solutions to big problems work or fall down. We may call this the iron law of social learning, recognised in "community development", "community capacity-building", "workplace", "work-based" and…

Structural and Sequence Similarity Makes a Significant Impact on Machine-Learning-Based Scoring Functions for Protein-Ligand Interactions.

PubMed

Li, Yang; Yang, Jianyi

2017-04-24

The prediction of protein-ligand binding affinity has recently been improved remarkably by machine-learning-based scoring functions. For example, using a set of simple descriptors representing the atomic distance counts, the RF-Score improves the Pearson correlation coefficient to about 0.8 on the core set of the PDBbind 2007 database, which is significantly higher than the performance of any conventional scoring function on the same benchmark. A few studies have been made to discuss the performance of machine-learning-based methods, but the reason for this improvement remains unclear. In this study, by systemically controlling the structural and sequence similarity between the training and test proteins of the PDBbind benchmark, we demonstrate that protein structural and sequence similarity makes a significant impact on machine-learning-based methods. After removal of training proteins that are highly similar to the test proteins identified by structure alignment and sequence alignment, machine-learning-based methods trained on the new training sets do not outperform the conventional scoring functions any more. On the contrary, the performance of conventional functions like X-Score is relatively stable no matter what training data are used to fit the weights of its energy terms.

Pre-Service Teachers' Learning Styles and Preferences towards Instructional Technology Activities and Collaborative Works

ERIC Educational Resources Information Center

Yusop, Farrah Dina; Sumari, Melati

2015-01-01

The main purpose of this exploratory study was to investigate pre-service teachers' learning styles and their preferences with respect to 15 technology-based instructional activities and collaborative work tasks. Felder and Silverman's online Index of Learning Style (ILS) and a questionnaire were used to measure students' learning styles and…

Influence of Structure and Interaction on Student Achievement and Satisfaction in Web-Based Distance Learning

ERIC Educational Resources Information Center

Lee, Hye-Jung; Rha, Ilju

2009-01-01

This study examines the influence of instructional design and management style on student achievement and satisfaction in a web-based distance learning environment. From the literature review, two major instructional design and management styles in web-based distance education were conceptualized as structure and interpersonal interaction. To…

Inter-professional work based learning within an MSc in Advanced Practice: lessons from one UK higher education programme.

PubMed

Gaskell, Lynne; Beaton, Susan

2010-09-01

This paper will describe the implementation of inter-professional work based education (IPE) in one postgraduate Advanced Practitioner programme in the UK. The concept of Advanced Practice has developed as a response of a number of drivers including change in junior doctor training; government policy and increasing demands on the central government funded UK health service (the NHS). The programme was commissioned by the then greater Manchester Strategic Health Authority (now NHS North West) to meet service needs. The educational philosophy underpinning the MSc Advanced Practice (health and social care) provided by the University of Salford is IPE linked to work based learning. The process of work based learning (WBL) and inter-professional learning underpinning the programme will be discussed in relation to feedback from university staff, Advanced Practitioner (AP) students and employer feedback taken from programme and module evaluations. We argue that IPE at this level facilitates a greater understanding of the connectivity between professionals working in the health care system in the UK; a better understanding of the skills and knowledge base of colleagues; more inter-professional working and appropriate referrals in the work place. This has raised the profile of Advanced Practice (AP) in the region and ultimately resulted in better patient care with more effective and efficient use of resources (Acton Shapiro, 2006, 2008). (c) 2009 Elsevier Ltd. All rights reserved.