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…

Nurses' Internet self-efficacy and attitudes toward web-based continuing learning.

PubMed

Liang, Jyh-Chong; Wu, Szu-Hsien; Tsai, Chin-Chung

2011-11-01

There are increasing opportunities for nurses to engage in continuing learning via the Internet; hence, it is important to explore nurses' attitudes toward web-based continuing learning. This paper explores 267 Taiwanese clinical nurses' attitudes toward web-based continuing learning. In addition, the role of the nurses' Internet self-efficacy in their attitudes is investigated. This study utilizes two questionnaires to respectively survey the nurses' Internet self-efficacy and their attitudes toward web-based continuing learning. In particular, the Internet Self-efficacy Survey includes two scales: 'Basic self-efficacy' (the perceived confidence of using basic Internet functions, such as the confidence in using a web browser or searching for online information) and 'Advanced self-efficacy' (the perceived confidence of using advanced Internet functions, such as the confidence in online discussion or making online payments). Exploratory factor analyses indicated adequate reliability and validity of the two questionnaires. The regression analyses revealed that both nurses' basic and advanced Internet self-efficacy can positively explain the perceived usefulness, ease of use and friendly feeling when using web-based continuing learning environments, whereas nurses' advanced Internet self-efficacy was the only predictor to explain how they intend to use web-based continuing learning environments more. Copyright © 2010 Elsevier Ltd. All rights reserved.

Student beliefs and learning environments: Developing a survey of factors related to conceptual change

NASA Astrophysics Data System (ADS)

Hanrahan, Mary

1994-12-01

This paper presents a model for the type of classroom environment believed to facilitate scientific conceptual change. A survey based on this model contains items about students' motivational beliefs, their study approach and their perceptions of their teacher's actions and learning goal orientation. Results obtained from factor analyses, correlations and analyses of variance, based on responses from 113 students, suggest that an empowering interpersonal teacher-student relationship is related to a deep approach to learning, a positive attitude to science, and positive self-efficacy beliefs, and may be increased by a constructivist approach to teaching.

Is Peer Interaction Necessary for Optimal Active Learning?

ERIC Educational Resources Information Center

Linton, Debra L.; Farmer, Jan Keith; Peterson, Ernie

2014-01-01

Meta-analyses of active-learning research consistently show that active-learning techniques result in greater student performance than traditional lecture-based courses. However, some individual studies show no effect of active-learning interventions. This may be due to inexperienced implementation of active learning. To minimize the effect of…

Learning "in" or "with" Games? Quality Criteria for Digital Learning Games from the Perspectives of Learning, Emotion, and Motivation Theory

ERIC Educational Resources Information Center

Hense, Jan; Mandl, Heinz

2012-01-01

This conceptual paper aims to clarify the theoretical underpinnings of game based learning (GBL) and learning with digital learning games (DLGs). To do so, it analyses learning of game related skills and contents, which occurs constantly during playing conventional entertainment games, from three perspectives: learning theory, emotion theory, and…

The Effectiveness of Self-Regulated Learning Scaffolds on Academic Performance in Computer-Based Learning Environments: A Meta-Analysis

ERIC Educational Resources Information Center

Zheng, Lanqin

2016-01-01

This meta-analysis examined research on the effects of self-regulated learning scaffolds on academic performance in computer-based learning environments from 2004 to 2015. A total of 29 articles met inclusion criteria and were included in the final analysis with a total sample size of 2,648 students. Moderator analyses were performed using a…

Supporting Accomplished Facilitation: Examining the Use of Sppreciative Inquiry to Inform the Development of Learning Resources for Medical Educators

ERIC Educational Resources Information Center

McIntosh, Paul; Freeth, Della; Berridge, Emma Jane

2013-01-01

This paper examines the use of appreciative inquiry (AI) to guide development of web-based learning resources for medical educators who facilitate simulation-based learning experiences for doctors-in-training. AI can be viewed as a positive form of action research, which seeks to avoid deficit-based analyses and solutions, and commonly associated…

"They're Funny Bloody Cattle": Encouraging Rural Men to Learn

ERIC Educational Resources Information Center

Vallance, Soapy; Golding, Barry

2008-01-01

Our paper examines and analyses the contexts and organisations in rural and regional communities that informally and effectively encourage men to learn. It is based on a combination of local, rural adult education practice and a suite of studies in Australia and elsewhere of learning in community contexts, most recently into community-based men's…

Teachers' Attitudes to and Beliefs about Web-Based Collaborative Learning Environments in the Context of an International Implementation

ERIC Educational Resources Information Center

Kollias, V.; Mamalougos, N.; Vamvakoussi, X.; Lakkala, M.; Vosniadou, S.

2005-01-01

Fifty-six teachers, from four European countries, were interviewed to ascertain their attitudes to and beliefs about the Collaborative Learning Environments (CLEs) which were designed under the Innovative Technologies for Collaborative Learning Project. Their responses were analysed using categories based on a model from cultural-historical…

Does Discovery-Based Instruction Enhance Learning?

ERIC Educational Resources Information Center

Alfieri, Louis; Brooks, Patricia J.; Aldrich, Naomi J.; Tenenbaum, Harriet R.

2011-01-01

Discovery learning approaches to education have recently come under scrutiny (Tobias & Duffy, 2009), with many studies indicating limitations to discovery learning practices. Therefore, 2 meta-analyses were conducted using a sample of 164 studies: The 1st examined the effects of unassisted discovery learning versus explicit instruction, and the…

The Use of Web 2.0 Tools by Students in Learning and Leisure Contexts: A Study in a Portuguese Institution of Higher Education

ERIC Educational Resources Information Center

Costa, Carolina; Alvelos, Helena; Teixeira, Leonor

2016-01-01

This study analyses and compares the use of Web 2.0 tools by students in both learning and leisure contexts. Data were collected based on a questionnaire applied to 234 students from the University of Aveiro (Portugal) and the results were analysed by using descriptive analysis, paired samples t-tests, cluster analyses and Kruskal-Wallis tests.…

Classification of L2 Vocabulary Learning Strategies: Evidence from Exploratory and Confirmatory Factor Analyses

ERIC Educational Resources Information Center

Zhang, Bo; Li, Changyu

2011-01-01

This research presents a classification theory for the L2 vocabulary learning strategies. Based on the exploratory and confirmatory factor analyses of strategies that adult Chinese English learners used, this theory identifies six categories, four of which are related to the cognitive process in lexical acquisition and the other two are…

A Bullet Fired in Dry Water: An Investigative Activity to Learn Hydrodynamics Concepts

ERIC Educational Resources Information Center

Leitão, Ulisses Azevedo; dos Anjos Pinheiro da Silva, Antonio; Trindade do Nascimento, Natália Cristina; da Cruz Gervásio, Lilian Mara Benedita

2017-01-01

In this paper we report an investigative activity on hydrodynamics, in the context of an inquiry-based learning project. The aim is to analyse the experiment of a bullet shot underwater. Using "Tracker," a video analysing and modelling software, the displacement of the bullet was measured as function of time, processing a slow motion…

Experiencing Variation: Learning Opportunities in Doctoral Supervision

ERIC Educational Resources Information Center

Kobayashi, Sofie; Berge, Maria; Grout, Brian W. W.; Rump, Camilla Østerberg

2017-01-01

This study contributes towards a better understanding of learning dynamics in doctoral supervision by analysing how learning opportunities are created in the interaction between supervisors and PhD students, using the notion of experiencing variation as a key to learning. Empirically, we have based the study on four video-recorded sessions, with…

The ICCE Framework: Framing Learning Experiences Afforded by Games

ERIC Educational Resources Information Center

Foster, Aroutis; Shah, Mamta

2015-01-01

There is a need for game-based learning frameworks that provide a lens for understanding learning experiences afforded in digital games. These frameworks should aim to facilitate game analyses, identification of learning opportunities, and support for learner experiences. This article uses the inquiry, communication, construction, and expression…

Learning to Explain Astronomy Across Moving Frames of Reference: Exploring the role of classroom and planetarium-based instructional contexts

NASA Astrophysics Data System (ADS)

Plummer, Julia Diane; Kocareli, Alicia; Slagle, Cynthia

2014-05-01

Learning astronomy involves significant spatial reasoning, such as learning to describe Earth-based phenomena and understanding space-based explanations for those phenomena as well as using the relevant size and scale information to interpret these frames of reference. This study examines daily celestial motion (DCM) as one case of how children learn to move between frames of reference in astronomy wherein one explains Earth-based descriptions of the Sun's, Moon's, and stars' apparent motion using the Earth's daily rotation. We analysed interviews with 8-9-year-old students (N = 99) who participated in one of four instructional conditions emphasizing: the space-based perspective; the Earth-based perspective in the planetarium; constructing explanations for the Earth-based observations; and a combination of the planetarium plus constructing explanations in the classroom. We used an embodied cognition framework to analyse outcomes while also considering challenges learners face due to the high cognitive demands of spatial reasoning. Results support the hypothesis that instruction should engage students in learning both the Earth-based observations and space-based explanations, as focusing on a single frame of reference resulted in less sophisticated explanations; however, few students were able to construct a fully scientific explanation after instruction.

Co-Creation Learning Procedures: Comparing Interactive Language Lessons for Deaf and Hearing Students.

PubMed

Hosono, Naotsune; Inoue, Hiromitsu; Tomita, Yutaka

2017-01-01

This paper discusses co-creation learning procedures of second language lessons for deaf students, and sign language lessons by a deaf lecturer. The analyses focus on the learning procedure and resulting assessment, considering the disability. Through questionnaires ICT-based co-creative learning technologies are effective and efficient and promote spontaneous learning motivation goals.

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…

Learning to Be a Programmer in a Complex Organization: A Case Study on Practice-Based Learning during the Onboarding Process at Google

ERIC Educational Resources Information Center

Johnson, Maggie; Senges, Max

2010-01-01

Purpose: This paper seeks to analyse the effectiveness and impact of how Google currently trains its new software engineers ("Nooglers") to become productive in the software engineering community. The research focuses on the institutions and support for practice-based learning and cognitive apprenticeship in the Google environment.…

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,…

Strategies in probabilistic feedback learning in Parkinson patients OFF medication.

PubMed

Bellebaum, C; Kobza, S; Ferrea, S; Schnitzler, A; Pollok, B; Südmeyer, M

2016-04-21

Studies on classification learning suggested that altered dopamine function in Parkinson's Disease (PD) specifically affects learning from feedback. In patients OFF medication, enhanced learning from negative feedback has been described. This learning bias was not seen in observational learning from feedback, indicating different neural mechanisms for this type of learning. The present study aimed to compare the acquisition of stimulus-response-outcome associations in PD patients OFF medication and healthy control subjects in active and observational learning. 16 PD patients OFF medication and 16 controls were examined with three parallel learning tasks each, two feedback-based (active and observational) and one non-feedback-based paired associates task. No acquisition deficit was seen in the patients for any of the tasks. More detailed analyses on the learning strategies did, however, reveal that the patients showed more lose-shift responses during active feedback learning than controls, and that lose-shift and win-stay responses more strongly determined performance accuracy in patients than controls. For observational feedback learning, the performance of both groups correlated similarly with the performance in non-feedback-based paired associates learning and with the accuracy of observed performance. Also, patients and controls showed comparable evidence of feedback processing in observational learning. In active feedback learning, PD patients use alternative learning strategies than healthy controls. Analyses on observational learning did not yield differences between patients and controls, adding to recent evidence of a differential role of the human striatum in active and observational learning from feedback. Copyright © 2016 The Authors. Published by Elsevier Ltd.. All rights reserved.

Do "Global Citizens" Need the Parochial Cultural Other? Discourse of Immersion in Study Abroad and Learning-by-Doing

ERIC Educational Resources Information Center

Doerr, Neriko Musha

2013-01-01

The discourse of immersion is prevalent but little analysed in the field of study abroad. Linked generally to learning-by-doing, this discourse has significance for "intercultural education". Based on text analyses of three guidebooks on study abroad, this article suggests four effects of the discourse of immersion: It justifies study abroad as…

Professional Development across the Teaching Career: Teachers' Uptake of Formal and Informal Learning Opportunities

ERIC Educational Resources Information Center

Richter, Dirk; Kunter, Mareike; Klusmann, Uta; Ludtke, Oliver; Baumert, Jurgen

2011-01-01

This study examined teachers' uptake of formal and informal learning opportunities across the career cycle. Analyses were based on data from 1939 German secondary teachers in 198 schools. Results showed that formal learning opportunities (in-service training) were used most frequently by mid-career teachers, whereas informal learning opportunities…

Knowledge Creation and Innovation in a Civil Engineering Course for the First-Year University Students

ERIC Educational Resources Information Center

Salmisto, Alpo; Nokelainen, Petri

2015-01-01

This article examines the application of knowledge creation learning and innovation to higher education in construction. The objectives are to demonstrate the application of the course based on knowledge creation learning to mass teaching and to analyse whether knowledge creation learning improves student motivation and learning. The empirical…

Expansive Learning in a Library: Actions, Cycles and Deviations from Instructional Intentions

ERIC Educational Resources Information Center

Engestrom, Yrjo; Rantavuori, Juhana; Kerosuo, Hannele

2013-01-01

The theory of expansive learning has been applied in a large number of studies on workplace learning and organizational change. However, detailed comprehensive analyses of entire developmental interventions based on the theory of expansive learning do not exist. Such a study is needed to examine the empirical usability and methodological rigor…

Development of Students' Personal Professional Theories in Senior Secondary Vocational Education

ERIC Educational Resources Information Center

Schaap, H.; Van der Schaaf, M. F.; de Bruijn, E.

2011-01-01

Students in competence-based senior secondary vocational education are expected to actively construct personal knowledge during school-based learning and workplace learning. This study introduces the construct "personal professional theory" (PPT) to monitor and analyse students' personal knowledge development. It aims to investigate the…

An Example of Competence-Based Learning: Use of Maxima in Linear Algebra for Engineers

ERIC Educational Resources Information Center

Diaz, Ana; Garcia, Alfonsa; de la Villa, Agustin

2011-01-01

This paper analyses the role of Computer Algebra Systems (CAS) in a model of learning based on competences. The proposal is an e-learning model Linear Algebra course for Engineering, which includes the use of a CAS (Maxima) and focuses on problem solving. A reference model has been taken from the Spanish Open University. The proper use of CAS is…

Analysis of adverse events as a contribution to safety culture in the context of practice development

PubMed

Hoffmann, Susanne; Frei, Irena Anna

2017-01-01

Background: Analysing adverse events is an effective patient safety measure. Aim: We show, how clinical nurse specialists have been enabled to analyse adverse events with the „Learning from Defects-Tool“ (LFD-Tool). Method: Our multi-component implementation strategy addressed both, the safety knowledge of clinical nurse specialists and their attitude towards patient safety. The culture of practice development was taken into account. Results: Clinical nurse specialists relate competency building on patient safety due to the application of the LFD-tool. Applying the tool, fosters the reflection of adverse events in care teams. Conclusion: Applying the „Learning from Defects-Tool“ promotes work-based learning. Analysing adverse events with the „Learning from Defects-Tool“ contributes to the safety culture in a hospital.

Some Psychometric and Design Implications of Game-Based Learning Analytics

ERIC Educational Resources Information Center

Gibson, David; Clarke-Midura, Jody

2013-01-01

The rise of digital game and simulation-based learning applications has led to new approaches in educational measurement that take account of patterns in time, high resolution paths of action, and clusters of virtual performance artifacts. The new approaches, which depart from traditional statistical analyses, include data mining, machine…

Computer-Based Interaction Analysis with DEGREE Revisited

ERIC Educational Resources Information Center

Barros, B.; Verdejo, M. F.

2016-01-01

We review our research with "DEGREE" and analyse how our work has impacted the collaborative learning community since 2000. Our research is framed within the context of computer-based interaction analysis and the development of computer-supported collaborative learning (CSCL) tools. We identify some aspects of our work which have been…

Saving Face: Managing Rapport in a Problem-Based Learning Group

ERIC Educational Resources Information Center

Robinson, Leslie; Harris, Ann; Burton, Rob

2015-01-01

This qualitative study investigated the complex social aspects of communication required for students to participate effectively in Problem-Based Learning and explored how these dynamics are managed. The longitudinal study of a group of first-year undergraduates examined interactions using Rapport Management as a framework to analyse communication…

Social Work Students' Perceptions of Team-Based Learning

ERIC Educational Resources Information Center

Macke, Caroline; Taylor, Jessica Averitt; Taylor, James E.; Tapp, Karen; Canfield, James

2015-01-01

This study sought to examine social work students' perceptions of Team-Based Learning (N = 154). Aside from looking at overall student perceptions, comparative analyses examined differences in perceptions between BSW and MSW students, and between Caucasian students and students of color. Findings for the overall sample revealed favorable…

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

An E-Learning Collaborative Environment: Learning within a Masters in Education Programme

ERIC Educational Resources Information Center

Hendricks, Natheem

2012-01-01

This article contributes to the debate about e-learning as a form of adult education. It is based on the experiences of South African students, describes and analyses group interaction in an intercontinental Masters in Adult Education Programme which uses a computer electronic platform as the primary medium for learning and teaching. The article…

New Perspectives for the Evaluation of Training Sessions in Self-Regulated Learning: Time-Series Analyses of Diary Data

ERIC Educational Resources Information Center

Schmitz, Bernhard; Wiese, Bettina S.

2006-01-01

The present study combines a standardized diary approach with time-series analysis methods to investigate the process of self-regulated learning. Based on a process-focused adaptation of Zimmerman's (2000) learning model, an intervention (consisting of four weekly training sessions) to increase self-regulated learning was developed. The diaries…

An Evaluation of Learning Objects in Singapore Primary Education: A Case Study Approach

ERIC Educational Resources Information Center

Grace, Tay Pei Lyn; Suan, Ng Peck; Wanzhen, Liaw

2008-01-01

Purpose: The purpose of this paper is to evaluate the usability and interface design of e-learning portal developed for primary schools in Singapore. Design/methodology/approach: Using Singapore-based learning EDvantage (LEAD) portal as a case study, this paper reviews and analyses the usability and usefulness of embedded learning objects (LOs)…

Effects of conformism on the cultural evolution of social behaviour.

PubMed

Molleman, Lucas; Pen, Ido; Weissing, Franz J

2013-01-01

Models of cultural evolution study how the distribution of cultural traits changes over time. The dynamics of cultural evolution strongly depends on the way these traits are transmitted between individuals by social learning. Two prominent forms of social learning are payoff-based learning (imitating others that have higher payoffs) and conformist learning (imitating locally common behaviours). How payoff-based and conformist learning affect the cultural evolution of cooperation is currently a matter of lively debate, but few studies systematically analyse the interplay of these forms of social learning. Here we perform such a study by investigating how the interaction of payoff-based and conformist learning affects the outcome of cultural evolution in three social contexts. First, we develop a simple argument that provides insights into how the outcome of cultural evolution will change when more and more conformist learning is added to payoff-based learning. In a social dilemma (e.g. a Prisoner's Dilemma), conformism can turn cooperation into a stable equilibrium; in an evasion game (e.g. a Hawk-Dove game or a Snowdrift game) conformism tends to destabilize the polymorphic equilibrium; and in a coordination game (e.g. a Stag Hunt game), conformism changes the basin of attraction of the two equilibria. Second, we analyse a stochastic event-based model, revealing that conformism increases the speed of cultural evolution towards pure equilibria. Individual-based simulations as well as the analysis of the diffusion approximation of the stochastic model by and large confirm our findings. Third, we investigate the effect of an increasing degree of conformism on cultural group selection in a group-structured population. We conclude that, in contrast to statements in the literature, conformism hinders rather than promotes the evolution of cooperation.

"There's a Lot of Learning Going on but NOT Much Teaching!": Student Perceptions of Problem-Based Learning in Science

ERIC Educational Resources Information Center

Pepper, Coral

2010-01-01

In this paper I report on 625 student responses and analyse student perceptions of Problem-Based Learning during their first semester at university. The data I present outlines the scope of the implementation at six entry-level units for the years 2007 to 2009 and is followed by a qualitative analysis of student responses. Eight themes are…

Assessing the Value of Action Learning for Social Enterprises and Charities

ERIC Educational Resources Information Center

Smith, Sue; Smith, Laurie

2017-01-01

In this paper we evaluate action learning for leaders of social enterprises and charities. Based on ethnographic research including participant observation, facilitator reflective diary notes and in-depth, qualitative interviews with participants of two action learning sets undertaken over eight months, analysed using Wenger, Trayner, and de Laat…

Talking, Listening, Learning

ERIC Educational Resources Information Center

Myhill, Debra; Jones, Susan; Hopper, Rosemary

2005-01-01

This book looks at an issue which is at the heart of every classroom, the role that talk plays in children's learning. Drawing on a substantial research base, the book provides useful suggestions to facilitate successful talk between teachers and children to improve learning and raise standards. Through analysing the talk that goes on in primary…

Nursing students' perceptions of effective problem-based learning tutors.

PubMed

Matthew-Maich, Nancy; Martin, Lynn; Hammond, Cynthia; Palma, Amy; Pavkovic, Maria; Sheremet, Darlene; Roche, Carmen

2016-11-16

Aim To explore baccalaureate nursing students' perceptions of what makes an effective tutor in problem-based learning courses, and the influence of effective teaching on students' learning and experience. Method Students enrolled in all four years of a baccalaureate nursing programme completed online surveys (n=511) and participated in focus groups (n=19). Data were analysed and combined using content analysis. Findings The data were summarised using five themes, the '5 Ps' of effective teaching in problem-based learning. Nursing students perceived effective problem-based learning tutors to be prepared with knowledge and facilitation skills, person-centred, passionate, professional and able to prepare students for success in the nursing programme. Effective tutors adjusted their approaches to students throughout the four years of the nursing programme. Conclusion Effective teaching in problem-based learning is essential and has significant effects on nursing students' learning, motivation and experience. Important attributes, skills and strategies of effective problem-based learning tutors were identified and may be used to enhance teaching and plan professional development initiatives.

Assessing Student Openness to Inquiry-Based Learning in Precalculus

ERIC Educational Resources Information Center

Cooper, Thomas; Bailey, Brad; Briggs, Karen; Holliday, John

2017-01-01

The authors have completed a 2-year quasi-experimental study on the use of inquiry-based learning (IBL) in precalculus. This study included six traditional lecture-style courses and seven modified Moore method courses taught by three instructors. Both quantitative and qualitative analyses were used to investigate the attitudes and beliefs of the…

The Efficacy of Problem-Based Learning in an Instrumental Analyse Laboratory

ERIC Educational Resources Information Center

Seyhan, Hatice Güngör

2016-01-01

In the context of the study, an instrumental analysis laboratory course offering Problem-Based Learning (PBL) was designed as an alternative to traditional laboratory practices. The study was conducted with a total of 36 volunteer, prospective chemistry teachers consisting of fourth year undergraduates and graduates. While PBL activities were…

Effects of Experiential-Based Videos in Multi-Disciplinary Learning

ERIC Educational Resources Information Center

Jabbar, Khalid Bin Abdul; Ong, Alex; Choy, Jeanette; Lim, Lisa

2013-01-01

This study examined the use of authentic experiential-based videos in self-explanation activities on 32 polytechnic students' learning and motivation, using a mixed method quasi-experimental design. The control group analysed a set of six pre-recorded videos of a subject performing the standing broad jump (SBJ). The experimental group captured…

Enquiry-Based Learning and Formative Assessment Environments: Student Perspectives

ERIC Educational Resources Information Center

Sambell, Kay

2010-01-01

This paper outlines case study research into first-year students' experiences of enquiry-based learning (EBL) on a year-long introductory theory module. Students were supported to carry out a series of authentic small-scale enquiries involving: (1) working in research teams; (2) gathering, disseminating and analysing data from the field; (3)…

Science Teaching Based on Cognitive Load Theory: Engaged Students, but Cognitive Deficiencies

ERIC Educational Resources Information Center

Meissner, Barbara; Bogner, Franz X.

2012-01-01

To improve science learning under demanding conditions, we designed an out-of-school lesson in compliance with cognitive load theory (CLT). We extracted student clusters based on individual effectiveness, and compared instructional efficiency, mental effort, and persistence of learning. The present study analyses students' engagement. 50.0% of our…

An Approach Based on Social Network Analysis Applied to a Collaborative Learning Experience

ERIC Educational Resources Information Center

Claros, Iván; Cobos, Ruth; Collazos, César A.

2016-01-01

The Social Network Analysis (SNA) techniques allow modelling and analysing the interaction among individuals based on their attributes and relationships. This approach has been used by several researchers in order to measure the social processes in collaborative learning experiences. But oftentimes such measures were calculated at the final state…

Measuring the Impact of Inquiry-Based Learning on Outcomes and Student Satisfaction

ERIC Educational Resources Information Center

Zafra-Gómez, José Luis; Román-Martínez, Isabel; Gómez-Miranda, María Elena

2015-01-01

The aim of this study is to determine the impact of inquiry-based learning (IBL) on students' academic performance and to assess their satisfaction with the process. Linear and logistic regression analyses show that examination grades are positively related to attendance at classes and tutorials; moreover, there is a positive significant…

Inquiry-Based Learning Case Studies for Computing and Computing Forensic Students

ERIC Educational Resources Information Center

Campbell, Jackie

2012-01-01

Purpose: The purpose of this paper is to describe and discuss the use of specifically-developed, inquiry-based learning materials for Computing and Forensic Computing students. Small applications have been developed which require investigation in order to de-bug code, analyse data issues and discover "illegal" behaviour. The applications…

Let's Be PALS: An Evidence-Based Approach to Professional Development

ERIC Educational Resources Information Center

Dunst, Carl J.; Trivette, Carol M.

2009-01-01

An evidence-based approach to professional development is described on the basis of the findings from a series of research syntheses and meta-analyses of adult learning methods and strategies. The approach, called PALS (Participatory Adult Learning Strategy), places major emphasis on both active learner involvement in all aspects of training…

Evaluating the Effectiveness of Physlet-Based Materials in Supporting Conceptual Learning About Electricity

NASA Astrophysics Data System (ADS)

Ülen, Simon; Gerlič, Ivan; Slavinec, Mitja; Repnik, Robert

2017-04-01

To provide a good understanding of many abstract concepts in the field of electricity above that of their students is often a major challenge for secondary school teachers. Many educational researchers promote conceptual learning as a teaching approach that can help teachers to achieve this goal. In this paper, we present Physlet-based materials for supporting conceptual learning about electricity. To conduct research into the effectiveness of these materials, we designed two different physics courses: one group of students, the experimental group, was taught using Physlet-based materials and the second group of students, the control group, was taught using expository instruction without using Physlets. After completion of the teaching, we assessed students' thinking skills and analysed the materials with an independent t test, multiple regression analyses and one-way analysis of covariance. The test scores were significantly higher in the experimental group than in the control group ( p < 0.05). The results of this study confirmed the effectiveness of conceptual learning about electricity with the help of Physlet-based materials.

Physics Group Work in a Phenomenographic Perspective--Learning Dynamics as the Experience of Variation and Relevance

ERIC Educational Resources Information Center

Ingerman, Ake; Berge, Maria; Booth, Shirley

2009-01-01

In this paper, we analyse learning dynamics in the context of physics group work of the kind increasingly found in engineering education. We apply a phenomenographic perspective on learning, seeing the notion of variation as the basic mechanism of learning. Empirically, we base our analysis on data from first year engineering students discussing…

New Ways of Learning to Fight Fires? Learning Processes and Contradictions in Distance and On-Campus Firefighter Training in Sweden

ERIC Educational Resources Information Center

Holmgren, Robert

2015-01-01

This article reports on findings from a comparative study on firefighter students' learning processes in a technology-supported distance training course and a traditional campus training course in Sweden. Based on student interviews and observations of exercises, the article aims to describe and analyse the impact on learning processes when…

A Learning Outcome-Oriented Approach towards Classifying Pervasive Games for Learning Using Game Design Patterns and Contextual Information

ERIC Educational Resources Information Center

Schmitz, Birgit; Klemke, Roland; Specht, Marcus

2013-01-01

Mobile and in particular pervasive games are a strong component of future scenarios for teaching and learning. Based on results from a previous review of practical papers, this work explores the educational potential of pervasive games for learning by analysing underlying game mechanisms. In order to determine and classify cognitive and affective…

Abnormal brain structure as a potential biomarker for venous erectile dysfunction: evidence from multimodal MRI and machine learning.

PubMed

Li, Lingli; Fan, Wenliang; Li, Jun; Li, Quanlin; Wang, Jin; Fan, Yang; Ye, Tianhe; Guo, Jialun; Li, Sen; Zhang, Youpeng; Cheng, Yongbiao; Tang, Yong; Zeng, Hanqing; Yang, Lian; Zhu, Zhaohui

2018-03-29

To investigate the cerebral structural changes related to venous erectile dysfunction (VED) and the relationship of these changes to clinical symptoms and disorder duration and distinguish patients with VED from healthy controls using a machine learning classification. 45 VED patients and 50 healthy controls were included. Voxel-based morphometry (VBM), tract-based spatial statistics (TBSS) and correlation analyses of VED patients and clinical variables were performed. The machine learning classification method was adopted to confirm its effectiveness in distinguishing VED patients from healthy controls. Compared to healthy control subjects, VED patients showed significantly decreased cortical volumes in the left postcentral gyrus and precentral gyrus, while only the right middle temporal gyrus showed a significant increase in cortical volume. Increased axial diffusivity (AD), radial diffusivity (RD) and mean diffusivity (MD) values were observed in widespread brain regions. Certain regions of these alterations related to VED patients showed significant correlations with clinical symptoms and disorder durations. Machine learning analyses discriminated patients from controls with overall accuracy 96.7%, sensitivity 93.3% and specificity 99.0%. Cortical volume and white matter (WM) microstructural changes were observed in VED patients, and showed significant correlations with clinical symptoms and dysfunction durations. Various DTI-derived indices of some brain regions could be regarded as reliable discriminating features between VED patients and healthy control subjects, as shown by machine learning analyses. • Multimodal magnetic resonance imaging helps clinicians to assess patients with VED. • VED patients show cerebral structural alterations related to their clinical symptoms. • Machine learning analyses discriminated VED patients from controls with an excellent performance. • Machine learning classification provided a preliminary demonstration of DTI's clinical use.

Fashion Students Choose How to Learn by Constructing Videos of Pattern Making

ERIC Educational Resources Information Center

Cavanagh, Michaella; Peté, Marí

2017-01-01

This paper analyses new learning experiences of first year pattern technology students at a university of technology, in the context of selected characteristics of authentic learning theories. The paper contributes to existing knowledge by proposing a method that could be followed for design-based subjects in a vocational education setting.…

Learning through Social Networking Sites--The Critical Role of the Teacher

ERIC Educational Resources Information Center

Callaghan, Noelene; Bower, Matt

2012-01-01

This comparative case study examined factors affecting behaviour and learning in social networking sites (SNS). The behaviour and learning of two classes completing identical SNS based modules of work was observed and compared. All student contributions to the SNS were analysed, with the cognitive process dimension of the Revised Bloom's Taxonomy…

Teaching and Learning about Solid Waste: Aspects of Content Knowledge

ERIC Educational Resources Information Center

Cinquetti, Heloisa Chalmers Sisla; de Carvalho, Luiz Marcelo

2007-01-01

This paper investigates aspects of content knowledge related to teaching and learning about solid waste, focusing on the processes of learning and teaching by Elementary School teachers in Brazil, in two modalities of continuing education: courses and school-based meetings. We analyse elements of teachers' reflections whilst referring to three…

Men with Learning Difficulties Doing Research: Challenging Views of Learning Difficulties

ERIC Educational Resources Information Center

Inglis, Pamela A.; Swain, John

2012-01-01

This paper explores the views of men with learning difficulties living in a secure environment. Reflecting findings from a doctoral thesis based upon a research project where the participants looked at the processes and concepts of research, the dialogues within the study were analysed using critical discourse analysis. Thesis aims relevant here…

Cultivating Lived-Body Consciousness: Enhancing Cognition and Emotion through Outdoor Learning

ERIC Educational Resources Information Center

Thorburn, Malcolm; Marshall, Aaron

2014-01-01

Through using school-based outdoor learning as the research context, the paper analyses the connections between bodily experiences and the embodied mind. Recent theorizing in outdoor learning, in reflecting phenomenology and Deweyian influences, has teased out how the relationships between the self, others and nature (environment) can be extended…

Developing a Scale for Quality of Using Learning Strategies

ERIC Educational Resources Information Center

Tasci, Guntay; Yurdugul, Halil

2016-01-01

This study aims to develop a measurement tool to measure the quality of using learning strategies. First, the quality of using learning strategies was described based on the literature. The 32 items in the 5-point Likert scale were then administered to 320 prospective teachers, and they were analysed with exploratory factor analysis using…

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…

The Effects of Scaffolded Simulation-Based Inquiry Learning on Fifth-Graders' Representations of the Greenhouse Effect

NASA Astrophysics Data System (ADS)

Kukkonen, Jari Ensio; Kärkkäinen, Sirpa; Dillon, Patrick; Keinonen, Tuula

2014-02-01

Research has demonstrated that simulation-based inquiry learning has significant advantages for learning outcomes when properly scaffolded. For successful learning in science with simulation-based inquiry, one needs to ascertain levels of background knowledge so as to support learners in making, evaluating and modifying hypotheses, conducting experiments and interpreting data, and to regulate the learning process. This case study examines the influence of scaffolded simulation-based inquiry learning on fifth-graders' (n = 21) models of the greenhouse effect. The pupils were asked to make annotated drawings about the greenhouse effect both before and after scaffolding through simulation-based instructional interventions. The data were analysed qualitatively to investigate the impact of the interventions on the representations that pupils used in their descriptions of the greenhouse effect. It was found that scaffolded simulation-based inquiry learning noticeably enriched the concepts pupils used in their representations leading to better understanding of the phenomenon. In many cases, the fifth graders produced quite sophisticated representations.

Active learning for noisy oracle via density power divergence.

PubMed

Sogawa, Yasuhiro; Ueno, Tsuyoshi; Kawahara, Yoshinobu; Washio, Takashi

2013-10-01

The accuracy of active learning is critically influenced by the existence of noisy labels given by a noisy oracle. In this paper, we propose a novel pool-based active learning framework through robust measures based on density power divergence. By minimizing density power divergence, such as β-divergence and γ-divergence, one can estimate the model accurately even under the existence of noisy labels within data. Accordingly, we develop query selecting measures for pool-based active learning using these divergences. In addition, we propose an evaluation scheme for these measures based on asymptotic statistical analyses, which enables us to perform active learning by evaluating an estimation error directly. Experiments with benchmark datasets and real-world image datasets show that our active learning scheme performs better than several baseline methods. Copyright © 2013 Elsevier Ltd. All rights reserved.

Project-based learning in Geotechnics: cooperative versus collaborative teamwork

NASA Astrophysics Data System (ADS)

Pinho-Lopes, Margarida; Macedo, Joaquim

2016-01-01

Since 2007/2008 project-based learning models have been used to deliver two fundamental courses on Geotechnics in University of Aveiro, Portugal. These models have evolved and have encompassed either cooperative or collaborative teamwork. Using data collected in five editions of each course (Soil Mechanics I and Soil Mechanics II), the different characteristics of the models using cooperative or collaborative teamwork are pointed out and analysed, namely in terms of the students' perceptions. The data collected include informal feedback from students, monitoring of their marks and academic performance, and answers to two sets of questionnaires: developed for these courses, and institutional. The data indicate students have good opinion of the project-based learning model, though collaborative teamwork is the best rated. The overall efficacy of the models was analysed (sum of their effectiveness, efficiency and attractiveness). The collaborative model was found more adequate.

eLearning techniques supporting problem based learning in clinical simulation.

PubMed

Docherty, Charles; Hoy, Derek; Topp, Helena; Trinder, Kathryn

2005-08-01

This paper details the results of the first phase of a project using eLearning to support students' learning within a simulated environment. The locus was a purpose built clinical simulation laboratory (CSL) where the School's philosophy of problem based learning (PBL) was challenged through lecturers using traditional teaching methods. a student-centred, problem based approach to the acquisition of clinical skills that used high quality learning objects embedded within web pages, substituting for lecturers providing instruction and demonstration. This encouraged student nurses to explore, analyse and make decisions within the safety of a clinical simulation. Learning was facilitated through network communications and reflection on video performances of self and others. Evaluations were positive, students demonstrating increased satisfaction with PBL, improved performance in exams, and increased self-efficacy in the performance of nursing activities. These results indicate that eLearning techniques can help students acquire clinical skills in the safety of a simulated environment within the context of a problem based learning curriculum.

Creativity Assessment in the Context of Maker-Based Projects

ERIC Educational Resources Information Center

Lille, Benjamin; Romero, Margarida

2017-01-01

Creativity is a key competence in 21st century education. Among the active learning pedagogies which aims to develop creativity, learning by making is an emerging approach in which the students are engaged in the co-creation of a shared artefact. In this study, we aim to analyse the creativity competency through a maker-based projects.…

Analyses of Receptive and Productive Korean EFL Vocabulary: Computer-Based Vocabulary Learning Program

ERIC Educational Resources Information Center

Kim, Scott Sungki

2013-01-01

The present research study investigated the effects of 8 versions of a computer-based vocabulary learning program on receptive and productive knowledge levels of college students. The participants were 106 male and 103 female Korean EFL students from Kyungsung University and Kwandong University in Korea. Students who participated in versions of…

Online Problem-Based Learning in Postgraduate Medical Education--Content Analysis of Reflection Comments

ERIC Educational Resources Information Center

Gonzalez, Maria L.; Salmoni, Alan J.

2008-01-01

We developed the Med-e-Conference, an online tool to teach clinical skills to medical students, which integrated problem-based learning with collaborative group tasks. The final task asked students to consider what they had done (reflection). These comments were analysed using content analysis, and 10 themes were elicited. The number of agreements…

Comparing Distance vs. Campus-Based Delivery of Research Methods Courses

ERIC Educational Resources Information Center

Girod, Mark; Wojcikiewicz, Steve

2009-01-01

A causal-comparative pre-test, post-test design was used to investigate differences in learning in a research methods course for face-to-face and web-based delivery models. Analyses of participant achievement (N = 205) revealed almost no differences but post-hoc analyses revealed important differences in pedagogy between delivery models despite…

Applying machine learning to identify autistic adults using imitation: An exploratory study.

PubMed

Li, Baihua; Sharma, Arjun; Meng, James; Purushwalkam, Senthil; Gowen, Emma

2017-01-01

Autism spectrum condition (ASC) is primarily diagnosed by behavioural symptoms including social, sensory and motor aspects. Although stereotyped, repetitive motor movements are considered during diagnosis, quantitative measures that identify kinematic characteristics in the movement patterns of autistic individuals are poorly studied, preventing advances in understanding the aetiology of motor impairment, or whether a wider range of motor characteristics could be used for diagnosis. The aim of this study was to investigate whether data-driven machine learning based methods could be used to address some fundamental problems with regard to identifying discriminative test conditions and kinematic parameters to classify between ASC and neurotypical controls. Data was based on a previous task where 16 ASC participants and 14 age, IQ matched controls observed then imitated a series of hand movements. 40 kinematic parameters extracted from eight imitation conditions were analysed using machine learning based methods. Two optimal imitation conditions and nine most significant kinematic parameters were identified and compared with some standard attribute evaluators. To our knowledge, this is the first attempt to apply machine learning to kinematic movement parameters measured during imitation of hand movements to investigate the identification of ASC. Although based on a small sample, the work demonstrates the feasibility of applying machine learning methods to analyse high-dimensional data and suggest the potential of machine learning for identifying kinematic biomarkers that could contribute to the diagnostic classification of autism.

How do medical educators design a curriculum that facilitates student learning about professionalism?

PubMed

Langendyk, Vicki; Mason, Glenn; Wang, Shaoyu

2016-02-04

This study analyses the ways in which curriculum reform facilitated student learning about professionalism. Design-based research provided the structure for an iterative approach to curriculum change which we undertook over a 3 year period. The learning environment of the Personal and Professional Development Theme (PPD) was analysed through the sociocultural lens of Activity Theory. Lave and Wenger's and Mezirow's learning theories informed curriculum reform to support student development of a patient-centred and critically reflective professional identity. The renewed pedagogical outcomes were aligned with curriculum content, learning and teaching processes and assessment, and intense staff education was undertaken. We analysed qualitative data from tutor interviews and free-response student surveys to evaluate the impact of curriculum reform. Students' and tutors' reflections on learning in PPD converged on two principle themes--'Developing a philosophy of medicine' and 'Becoming an ethical doctor'--which corresponded to the overarching PPD theme aims of communicative learning. Students and tutors emphasised the importance of the unique learning environment of PPD tutorials for nurturing personal development and the positive impact of the renewed assessment programme on learning. A theory-led approach to curriculum reform resulted in student engagement in the PPD curriculum and facilitated a change in student perspective about the epistemological foundation of medicine.

Web-based learning in professional development: experiences of Finnish nurse managers.

PubMed

Korhonen, Teija; Lammintakanen, Johanna

2005-11-01

The aim of this article is to describe the nurse managers' expectations, attitudes and experiences on web-based learning before and after participation in a web-based course. Information technology has rapidly become more common in health care settings. However, little is known about nurse managers' experiences on web-based learning, although they have a crucial role in promoting the professional development of their staff. Diagnostic assignments (n = 18) written before and interviews (n = 8) taken after the web-based education. The data were analysed by inductive content analysis. Nurse managers found web-based education to be a suitable and modern method of learning. On the basis of their experience they found multiple ways to utilize web-based learning environments in health care. Information technology skills, equipment, support and time were considered essential in web-based learning. Additionally, they found that their own experience might lead to more widespread implementation of web-based learning in health care settings. Information technology skills of nurse managers and staff need to be developed in order to use information technology effectively. In order to learn in a web-based environment, everyone needs the opportunity and access to required resources. Additionally, nurse managers' own experiences are important to promote wider utilization of web-based learning.

Computational neuroanatomy using brain deformations: From brain parcellation to multivariate pattern analysis and machine learning.

PubMed

Davatzikos, Christos

2016-10-01

The past 20 years have seen a mushrooming growth of the field of computational neuroanatomy. Much of this work has been enabled by the development and refinement of powerful, high-dimensional image warping methods, which have enabled detailed brain parcellation, voxel-based morphometric analyses, and multivariate pattern analyses using machine learning approaches. The evolution of these 3 types of analyses over the years has overcome many challenges. We present the evolution of our work in these 3 directions, which largely follows the evolution of this field. We discuss the progression from single-atlas, single-registration brain parcellation work to current ensemble-based parcellation; from relatively basic mass-univariate t-tests to optimized regional pattern analyses combining deformations and residuals; and from basic application of support vector machines to generative-discriminative formulations of multivariate pattern analyses, and to methods dealing with heterogeneity of neuroanatomical patterns. We conclude with discussion of some of the future directions and challenges. Copyright © 2016. Published by Elsevier B.V.

Computational neuroanatomy using brain deformations: From brain parcellation to multivariate pattern analysis and machine learning

PubMed Central

Davatzikos, Christos

2017-01-01

The past 20 years have seen a mushrooming growth of the field of computational neuroanatomy. Much of this work has been enabled by the development and refinement of powerful, high-dimensional image warping methods, which have enabled detailed brain parcellation, voxel-based morphometric analyses, and multivariate pattern analyses using machine learning approaches. The evolution of these 3 types of analyses over the years has overcome many challenges. We present the evolution of our work in these 3 directions, which largely follows the evolution of this field. We discuss the progression from single-atlas, single-registration brain parcellation work to current ensemble-based parcellation; from relatively basic mass-univariate t-tests to optimized regional pattern analyses combining deformations and residuals; and from basic application of support vector machines to generative-discriminative formulations of multivariate pattern analyses, and to methods dealing with heterogeneity of neuroanatomical patterns. We conclude with discussion of some of the future directions and challenges. PMID:27514582

Investigating Learning Space for Research Workspaces in Higher Education in Malaysia

ERIC Educational Resources Information Center

Yusof, Norhafezah; Hashim, Rosna Awang; Kian, Chan Kok

2016-01-01

Purpose: The purpose of this paper is to investigate learning space for research workspaces in Higher Education Institutions (HEIs) in Malaysia based on the evaluations by experts and university research workers on a practical model for creating an effective research learning space. It examines expert analyses of the notion of a suitable research…

Listening to Learners: An Investigation into "Successful Learning" across CLIL Contexts

ERIC Educational Resources Information Center

Coyle, Do

2013-01-01

This study is part of longitudinal research undertaken in 11 secondary schools across two countries, based in Content and Language Integrated Learning (CLIL) classrooms with 12-15 year olds. The aim was to listen to learners, provide them with a "voice" to analyse their perceptions of "successful learning" and to undertake participatory research…

Learning Hypotheses and an Associated Tool to Design and to Analyse Teaching-Learning Sequences. Special Issue

ERIC Educational Resources Information Center

Buty, Christian; Tiberghien, Andree; Le Marechal, Jean-Francois

2004-01-01

This contribution presents a tool elaborated from a theoretical framework linking epistemological, learning and didactical hypotheses. This framework lead to design teaching sequences from a socio-constructivist perspective, and is based on the role of models in physics or chemistry, and on the role of students' initial knowledge in learning…

Conditions for Workplace Learning in Professional Work: Discrepancies between Occupational and Organisational Values

ERIC Educational Resources Information Center

Parding, Karolina; Berg-Jansson, Anna

2018-01-01

Purpose: This paper aims to examine and discuss learning conditions for teachers, in the context of choice and decentralisation reforms. Design/methodology/approach: This article is based on analyses of 30 interviews with Swedish upper secondary teachers focusing on their experiences of their conditions for learning. Findings: This paper shows how…

e-Learning Programs as Loyalty Investments for Financial Corporations

ERIC Educational Resources Information Center

Arvanitis, Spyridon

2010-01-01

Although e-learning has been thoroughly presented and analysed in recent years, this paper aims to present a new concept, about web-based learning used as a tool to provide "products' education" for customers, and the ways enterprises of the financial sector, may use it in order to promote their brand name and services by affecting crucial factors…

The Evaluation of the Cognitive Learning Process of the Renewed Bloom Taxonomy Using a Web Based Expert System

ERIC Educational Resources Information Center

Goksu, Idris

2016-01-01

The aim of this study is to develop the Web Based Expert System (WBES) which provides analyses and reports based on the cognitive processes of Renewed Bloom Taxonomy (RBT), and to put forward the impact of the supportive education provided in line with these reports, on the academic achievement and mastery learning state of the students. The study…

Self-Assessment of Schools and Teachers as a Road to Transforming Schools from Teaching to Learning Organisations

ERIC Educational Resources Information Center

Franz, Hans-Werner

2012-01-01

This article explores the manner in which self-assessment in schools can play an integral role in the transformation of schools into learning organisations. The perspective adopted is based upon European experiences and describes and analyses the sociological constructs and bases supporting the process of transformation. (Contains 6 notes and 2…

Learning Control: Sense-Making, CNC Machines, and Changes in Vocational Training for Industrial Work

ERIC Educational Resources Information Center

Berner, Boel

2009-01-01

The paper explores how novices in school-based vocational training make sense of computerized numerical control (CNC) machines. Based on two ethnographic studies in Swedish schools, one from the early 1980s and one from 2006, it analyses change and continuity in the cognitive, social, and emotional processes of learning how to become a machine…

Beyond Changing Culture in Small High Schools: Reform Models and Changing Instruction with Project-Based Learning

ERIC Educational Resources Information Center

Ravitz, Jason

2010-01-01

This study describes the status of small school reforms in U.S. high schools and contemplates their future. It asks how cultural and instructional reforms differ across school reform types. Analyses focus on indicators of teacher and student culture as well as instructional reforms including project-based learning (PBL) and other inquiry-related…

A process-based approach to characterizing the effect of acute alprazolam challenge on visual paired associate learning and memory in healthy older adults.

PubMed

Pietrzak, Robert H; Scott, James Cobb; Harel, Brian T; Lim, Yen Ying; Snyder, Peter J; Maruff, Paul

2012-11-01

Alprazolam is a benzodiazepine that, when administered acutely, results in impairments in several aspects of cognition, including attention, learning, and memory. However, the profile (i.e., component processes) that underlie alprazolam-related decrements in visual paired associate learning has not been fully explored. In this double-blind, placebo-controlled, randomized cross-over study of healthy older adults, we used a novel, "process-based" computerized measure of visual paired associate learning to examine the effect of a single, acute 1-mg dose of alprazolam on component processes of visual paired associate learning and memory. Acute alprazolam challenge was associated with a large magnitude reduction in visual paired associate learning and memory performance (d = 1.05). Process-based analyses revealed significant increases in distractor, exploratory, between-search, and within-search error types. Analyses of percentages of each error type suggested that, relative to placebo, alprazolam challenge resulted in a decrease in the percentage of exploratory errors and an increase in the percentage of distractor errors, both of which reflect memory processes. Results of this study suggest that acute alprazolam challenge decreases visual paired associate learning and memory performance by reducing the strength of the association between pattern and location, which may reflect a general breakdown in memory consolidation, with less evidence of reductions in executive processes (e.g., working memory) that facilitate visual paired associate learning and memory. Copyright © 2012 John Wiley & Sons, Ltd.

Effects of congruence between preferred and perceived learning environments in nursing education in Taiwan: a cross-sectional study

PubMed Central

Yeh, Ting-Kuang; Huang, Hsiu-Mei; Chan, Wing P; Chang, Chun-Yen

2016-01-01

Objective To investigate the effects of congruence between preferred and perceived learning environments on learning outcomes of nursing students. Setting A nursing course at a university in central Taiwan. Participants 124 Taiwanese nursing students enrolled in a 13-week problem-based Fundamental Nursing curriculum. Design and methods Students' preferred learning environment, perceptions about the learning environment and learning outcomes (knowledge, self-efficacy and attitudes) were assessed. On the basis of test scores measuring their preferred and perceived learning environments, students were assigned to one of two groups: a ‘preferred environment aligned with perceived learning environment’ group and a ‘preferred environment discordant with perceived learning environment’ group. Learning outcomes were analysed by group. Outcome measures Most participants preferred learning in a classroom environment that combined problem-based and lecture-based instruction. However, a mismatch of problem-based instruction with students' perceptions occurred. Learning outcomes were significantly better when students' perceptions of their instructional activities were congruent with their preferred learning environment. Conclusions As problem-based learning becomes a focus of educational reform in nursing, teachers need to be aware of students' preferences and perceptions of the learning environment. Teachers may also need to improve the match between an individual student's perception and a teacher's intention in the learning environment, and between the student's preferred and actual perceptions of the learning environment. PMID:27207620

Designing Geometry 2.0 learning environments: a preliminary study with primary school students

NASA Astrophysics Data System (ADS)

Joglar Prieto, Nuria; María Sordo Juanena, José; Star, Jon R.

2014-04-01

The information and communication technologies of Web 2.0 are arriving in our schools, allowing the design and implementation of new learning environments with great educational potential. This article proposes a pedagogical model based on a new geometry technology-integrated learning environment, called Geometry 2.0, which was tested with 39 sixth grade students from a public school in Madrid (Spain). The main goals of the study presented here were to describe an optimal role for the mathematics teacher within Geometry 2.0, and to analyse how dynamic mathematics and communication might affect young students' learning of basic figural concepts in a real setting. The analyses offered in this article illustrate how our Geometry 2.0 model facilitates deeply mathematical tasks which encourage students' exploration, cooperation and communication, improving their learning while fostering geometrical meanings.

Teacher education in the generative virtual classroom: developing learning theories through a web-delivered, technology-and-science education context

NASA Astrophysics Data System (ADS)

Schaverien, Lynette

2003-12-01

This paper reports the use of a research-based, web-delivered, technology-and-science education context (the Generative Virtual Classroom) in which student-teachers can develop their ability to recognize, describe, analyse and theorize learning. Addressing well-recognized concerns about narrowly conceived, anachronistic and ineffective technology-and-science education, this e-learning environment aims to use advanced technologies for learning, to bring about larger scale improvement in classroom practice than has so far been effected by direct intervention through teacher education. Student-teachers' short, intensive engagement with the Generative Virtual Classroom during their practice teaching is examined. Findings affirm the worth of this research-based e-learning system for teacher education and the power of a biologically based, generative theory to make sense of the learning that occurred.

The effect of active learning on college students' achievement, motivation, and self-efficacy in a human physiology course for non-majors

NASA Astrophysics Data System (ADS)

Wilke, Roger Russell

2000-10-01

This study investigated the effects active learning strategies had on college students' achievement, motivation, and self-efficacy, in a human physiology course for non-majors. A continuum-based active learning instructional model was implemented over the course of a semester to assess the effects on the variables and specific student outcomes of learning mentioned above. In addition analyses were conducted to explore what learner characteristics contributed to the successful implementation of the model such as students' gender, classification, major, grade point average, ACT and SAT scores, motivation, and self-efficacy. A quasi-experimental, Solomon-4 Group design was undertaken on 171 students in a small west-Texas university. Treatment groups were taught using the model while controls were taught using traditional lecture methods. Students were administered a comprehensive physiology content exam, sections of the Motivated Strategies for Learning Questionnaire, and attitude surveys to assess the effects of the continuum-based active learning strategies. Factorial analyses indicated the treatment group acquired significantly more content knowledge and were significantly more self-efficacious than students in the control group. There were no significant differences in motivation. Factorial and modified regression analyses in the aptitude by treatment interaction exploration determined that males in the treatment group performed significantly better on the comprehensive physiology content exam versus males in the control group. While females performed better overall than males, there were no significant differences in achievement between females in the treatment group and those in the control. No significant interactions were found for the other learner characteristics. The results also indicated that students' general cognitive ability as measured by their grade point average, ACT, and SAT scores and their self-efficacy contributed significantly to their achievement. Attitude surveys indicated that students in both the treatment and control groups demonstrated a positive attitude toward active learning, believed it helped them to learn the material, and would choose an active learning course in the future if given the opportunity. This study demonstrated that continuum-based active learning strategies used in this context, improved students' content acquisition and self-efficacy and had wide applicability with a number of learner characteristics.

A Comparative Study on Cooperative Learning in Multimedia and Network Environment Used by English Majors between China Mainland and Taiwan

ERIC Educational Resources Information Center

Xue, Gong; Lingling, Liu

2018-01-01

This paper first based on the theory of cooperative learning research. It analyses the characteristics and advantages of cooperative learning under the multimedia network environment. And then take China Three Gorges University and Taiwan I-Shou University English major students for example, using questionnaires and interviews to investigate the…

The Place of Social Learning and Social Movement in Transformative Learning: A Case Study of Sustainability Schools in Uganda

ERIC Educational Resources Information Center

Westoby, Peter; Lyons, Kristen

2017-01-01

This article analyses the sustainability school (SS) program of the National Association of Professional Environmentalists (NAPE), Uganda. The focus is on how the social network, enabled by the SS program, fosters social and transformative learning. The significance of this approach to community-based education for social change, including in the…

The Purpose of Tutorial Groups: Social Influence and the Group as Means and Objective

ERIC Educational Resources Information Center

Rosander, Michael; Chiriac, Eva Hammar

2016-01-01

The aim of this study was to investigate how first-year students view the purpose of tutorial groups in problem-based learning. In all, 147 students from 24 groups participated, providing 399 statements. Data were analysed using thematic analysis. The results showed a focus on both learning and social influence. Learning involved the tutorial as…

"The Planet Will Not Survive if It's Not a Learning Planet": Sustainable Development within Learning through Life

ERIC Educational Resources Information Center

Walters, Shirley

2010-01-01

This review analyses the report "Learning through Life" from the point of view of the sustainable development theme and from a "South" perspective. The review recognises that the report is written to influence UK policy-makers and practitioners; it has captured the results of a broad-based inquiry, and it therefore has had to…

Patterns of Use of an Agent-Based Model and a System Dynamics Model: The Application of Patterns of Use and the Impacts on Learning Outcomes

ERIC Educational Resources Information Center

Thompson, Kate; Reimann, Peter

2010-01-01

A classification system that was developed for the use of agent-based models was applied to strategies used by school-aged students to interrogate an agent-based model and a system dynamics model. These were compared, and relationships between learning outcomes and the strategies used were also analysed. It was found that the classification system…

Case study of a problem-based learning course of physics in a telecommunications engineering degree

NASA Astrophysics Data System (ADS)

Macho-Stadler, Erica; Jesús Elejalde-García, Maria

2013-08-01

Active learning methods can be appropriate in engineering, as their methodology promotes meta-cognition, independent learning and problem-solving skills. Problem-based learning is the educational process by which problem-solving activities and instructor's guidance facilitate learning. Its key characteristic involves posing a 'concrete problem' to initiate the learning process, generally implemented by small groups of students. Many universities have developed and used active methodologies successfully in the teaching-learning process. During the past few years, the University of the Basque Country has promoted the use of active methodologies through several teacher training programmes. In this paper, we describe and analyse the results of the educational experience using the problem-based learning (PBL) method in a physics course for undergraduates enrolled in the technical telecommunications engineering degree programme. From an instructors' perspective, PBL strengths include better student attitude in class and increased instructor-student and student-student interactions. The students emphasised developing teamwork and communication skills in a good learning atmosphere as positive aspects.

How do medical educators design a curriculum that facilitates student learning about professionalism?

PubMed Central

Mason, Glenn; Wang, Shaoyu

2016-01-01

Objectives This study analyses the ways in which curriculum reform facilitated student learning about professionalism. Methods Design-based research provided the structure for an iterative approach to curriculum change which we undertook over a 3 year period. The learning environment of the Personal and Professional Development Theme (PPD) was analysed through the sociocultural lens of Activity Theory. Lave and Wenger’s and Mezirow’s learning theories informed curriculum reform to support student development of a patient-centred and critically reflective professional identity. The renewed pedagogical outcomes were aligned with curriculum content, learning and teaching processes and assessment, and intense staff education was undertaken. We analysed qualitative data from tutor interviews and free-response student surveys to evaluate the impact of curriculum reform. Results Students’ and tutors’ reflections on learning in PPD converged on two principle themes - ‘Developing a philosophy of medicine’ and ‘Becoming an ethical doctor’- which corresponded to the overarching PPD theme aims of communicative learning. Students and tutors emphasised the importance of the unique learning environment of PPD tutorials for nurturing personal development and the positive impact of the renewed assessment programme on learning. Conclusions A theory-led approach to curriculum reform resulted in student engagement in the PPD curriculum and facilitated a change in student perspective about the epistemological foundation of medicine. PMID:26845777

Effects of the Scientific Argumentation Based Learning Process on Teaching the Unit of Cell Division and Inheritance to Eighth Grade Students

ERIC Educational Resources Information Center

Balci, Ceyda; Yenice, Nilgun

2016-01-01

The aim of this study is to analyse the effects of scientific argumentation based learning process on the eighth grade students' achievement in the unit of "cell division and inheritance". It also deals with the effects of this process on their comprehension about the nature of scientific knowledge, their willingness to take part in…

Socioeconomic Strata, Mobile Technology, and Education: A Comparative Analysis

ERIC Educational Resources Information Center

Kim, Paul; Hagashi, Teresita; Carillo, Laura; Gonzales, Irina; Makany, Tamas; Lee, Bommi; Garate, Alberto

2011-01-01

Mobile devices are highly portable, easily distributable, substantially affordable, and have the potential to be pedagogically complementary resources in education. This study, incorporating mixed method analyses, discusses the implications of a mobile learning technology-based learning model in two public primary schools near the Mexico-USA…

Teaching and Learning in the Virtual Campus: The Case of the University of Barcelona

ERIC Educational Resources Information Center

Gil, Juana M. Sancho; Sanchez, Joan-Anton

2012-01-01

This article is based on a research project aimed at analysing the teaching and learning models explicit and implicit in the different uses of e-learning platforms. From qualitative analysis of the interview with the coordinator of the Virtual Campus of the University of Barcelona (VC-UB) and the focus group with the 8 lecturers, emerged both the…

Community of Learners: Charting Learning in First Year Graduate Entry Medical Students during Problem-Based Learning (PBL) Study

ERIC Educational Resources Information Center

Orsmond, Paul; Zvauya, R.

2015-01-01

This study considers social learning practices within and outside the overt curriculum. A thematic approach was used to analyse data from six focus group interviews with 11 graduate entry medical students from a UK university over a year of study. The results indicate that: (1) during their first year of study students form a community of learning…

The Use of an Online Learning and Teaching System for Monitoring Computer Aided Design Student Participation and Predicting Student Success

ERIC Educational Resources Information Center

Akhtar, S.; Warburton, S.; Xu, W.

2017-01-01

In this paper we report on the use of a purpose built Computer Support Collaborative learning environment designed to support lab-based CAD teaching through the monitoring of student participation and identified predictors of success. This was carried out by analysing data from the interactive learning system and correlating student behaviour with…

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

NASA Astrophysics Data System (ADS)

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

2018-04-01

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

One Giant Leap for Categorizers: One Small Step for Categorization Theory

PubMed Central

Smith, J. David; Ell, Shawn W.

2015-01-01

We explore humans’ rule-based category learning using analytic approaches that highlight their psychological transitions during learning. These approaches confirm that humans show qualitatively sudden psychological transitions during rule learning. These transitions contribute to the theoretical literature contrasting single vs. multiple category-learning systems, because they seem to reveal a distinctive learning process of explicit rule discovery. A complete psychology of categorization must describe this learning process, too. Yet extensive formal-modeling analyses confirm that a wide range of current (gradient-descent) models cannot reproduce these transitions, including influential rule-based models (e.g., COVIS) and exemplar models (e.g., ALCOVE). It is an important theoretical conclusion that existing models cannot explain humans’ rule-based category learning. The problem these models have is the incremental algorithm by which learning is simulated. Humans descend no gradient in rule-based tasks. Very different formal-modeling systems will be required to explain humans’ psychology in these tasks. An important next step will be to build a new generation of models that can do so. PMID:26332587

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

NASA Astrophysics Data System (ADS)

Liou, Pey-Yan; Kuo, Pei-Jung

2014-05-01

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

Twitter as a Learning Community in Higher Education

ERIC Educational Resources Information Center

Ricoy, María-Carmen; Feliz, Tiberio

2016-01-01

Considering the potential and popularity of social media it is important to inquire into its use in learning. In this study the implementation of the activity carried out in Twitter with higher education students was analysed. The research was conducted following a mixed methodology, based on virtual ethnography complemented by quantitative…

Students' Experiences in Interdisciplinary Problembased Learning: A Discourse Analysis of Group Interaction

ERIC Educational Resources Information Center

Imafuku, Rintaro; Kataoka, Ryuta; Mayahara, Mitsuori; Suzuki, Hisayoshi; Saiki, Takuya

2014-01-01

Interdisciplinary problem-based learning (PBL) aims to provide students with opportunities to develop the necessary skills to work with different health professionals in a collaborative manner. This discourse study examined the processes of collective knowledge construction in Japanese students in the tutorials. Analyses of video-recorded data…

Differences in Business Undergraduate Perceptions by Preferred Classroom Learning Environment

ERIC Educational Resources Information Center

Blau, Gary; Mittal, Neha; Schirmer, Michael; Ozkan, Bora

2017-01-01

Online education continues to grow at business schools. The authors compared undergraduate business student perceptions across three different classroom learning delivery environments: online, hybrid, and face to face. Based on the survey responses using two independent samples, the authors' analyses found that students who preferred online…

Professional Learning in Rural Practice: A Sociomaterial Analysis

ERIC Educational Resources Information Center

Slade, Bonnie

2013-01-01

Purpose: This paper aims to examine the professional learning of rural police officers. Design/methodology/approach: This qualitative case study involved interviews and focus groups with 34 police officers in Northern Scotland. The interviews and focus groups were transcribed and analysed, drawing on practice-based and sociomaterial learning…

Human resource recommendation algorithm based on ensemble learning and Spark

NASA Astrophysics Data System (ADS)

Cong, Zihan; Zhang, Xingming; Wang, Haoxiang; Xu, Hongjie

2017-08-01

Aiming at the problem of “information overload” in the human resources industry, this paper proposes a human resource recommendation algorithm based on Ensemble Learning. The algorithm considers the characteristics and behaviours of both job seeker and job features in the real business circumstance. Firstly, the algorithm uses two ensemble learning methods-Bagging and Boosting. The outputs from both learning methods are then merged to form user interest model. Based on user interest model, job recommendation can be extracted for users. The algorithm is implemented as a parallelized recommendation system on Spark. A set of experiments have been done and analysed. The proposed algorithm achieves significant improvement in accuracy, recall rate and coverage, compared with recommendation algorithms such as UserCF and ItemCF.

Effects of congruence between preferred and perceived learning environments in nursing education in Taiwan: a cross-sectional study.

PubMed

Yeh, Ting-Kuang; Huang, Hsiu-Mei; Chan, Wing P; Chang, Chun-Yen

2016-05-20

To investigate the effects of congruence between preferred and perceived learning environments on learning outcomes of nursing students. A nursing course at a university in central Taiwan. 124 Taiwanese nursing students enrolled in a 13-week problem-based Fundamental Nursing curriculum. Students' preferred learning environment, perceptions about the learning environment and learning outcomes (knowledge, self-efficacy and attitudes) were assessed. On the basis of test scores measuring their preferred and perceived learning environments, students were assigned to one of two groups: a 'preferred environment aligned with perceived learning environment' group and a 'preferred environment discordant with perceived learning environment' group. Learning outcomes were analysed by group. Most participants preferred learning in a classroom environment that combined problem-based and lecture-based instruction. However, a mismatch of problem-based instruction with students' perceptions occurred. Learning outcomes were significantly better when students' perceptions of their instructional activities were congruent with their preferred learning environment. As problem-based learning becomes a focus of educational reform in nursing, teachers need to be aware of students' preferences and perceptions of the learning environment. Teachers may also need to improve the match between an individual student's perception and a teacher's intention in the learning environment, and between the student's preferred and actual perceptions of the learning environment. Published by the BMJ Publishing Group Limited. For permission to use (where not already granted under a licence) please go to http://www.bmj.com/company/products-services/rights-and-licensing/

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

PubMed

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

2016-12-03

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

Designing for expansive science learning and identification across settings

NASA Astrophysics Data System (ADS)

Stromholt, Shelley; Bell, Philip

2017-10-01

In this study, we present a case for designing expansive science learning environments in relation to neoliberal instantiations of standards-based implementation projects in education. Using ethnographic and design-based research methods, we examine how the design of coordinated learning across settings can engage youth from non-dominant communities in scientific and engineering practices, resulting in learning experiences that are more relevant to youth and their communities. Analyses highlight: (a) transformative moments of identification for one fifth-grade student across school and non-school settings; (b) the disruption of societal, racial stereotypes on the capabilities of and expectations for marginalized youth; and (c) how youth recognized themselves as members of their community and agents of social change by engaging in personally consequential science investigations and learning.

Differential impact of relevant and irrelevant dimension primes on rule-based and information-integration category learning.

PubMed

Grimm, Lisa R; Maddox, W Todd

2013-11-01

Research has identified multiple category-learning systems with each being "tuned" for learning categories with different task demands and each governed by different neurobiological systems. Rule-based (RB) classification involves testing verbalizable rules for category membership while information-integration (II) classification requires the implicit learning of stimulus-response mappings. In the first study to directly test rule priming with RB and II category learning, we investigated the influence of the availability of information presented at the beginning of the task. Participants viewed lines that varied in length, orientation, and position on the screen, and were primed to focus on stimulus dimensions that were relevant or irrelevant to the correct classification rule. In Experiment 1, we used an RB category structure, and in Experiment 2, we used an II category structure. Accuracy and model-based analyses suggested that a focus on relevant dimensions improves RB task performance later in learning while a focus on an irrelevant dimension improves II task performance early in learning. © 2013.

Using Elearning techniques to support problem based learning within a clinical simulation laboratory.

PubMed

Docherty, Charles; Hoy, Derek; Topp, Helena; Trinder, Kathryn

2004-01-01

This paper details the results of the first phase of a project that used eLearning to support students' learning within a simulated environment. The locus was a purpose built Clinical Simulation Laboratory (CSL) where the School's newly adopted philosophy of Problem Based Learning (PBL) was challenged through lecturers reverting to traditional teaching methods. The solution, a student-centred, problem-based approach to the acquisition of clinical skills was developed using learning objects embedded within web pages that substituted for lecturers providing instruction and demonstration. This allowed lecturers to retain their facilitator role, and encouraged students to explore, analyse and make decisions within the safety of a clinical simulation. Learning was enhanced through network communications and reflection on video performances of self and others. Evaluations were positive, students demonstrating increased satisfaction with PBL, improved performance in exams, and increased self-efficacy in the performance of nursing activities. These results indicate that an elearning approach can support PBL in delivering a student centred learning experience.

Impact of Electronic Portfolios on Prospective Teachers' Participation, Motivation, and Autonomous Learning

ERIC Educational Resources Information Center

Gámiz-Sánchez, Vanesa-María; Gallego-Arrufat, María-Jesús; Crisol-Moya, Emilio

2016-01-01

This study explores the impact of electronic portfolios on undergraduate learning in higher education. Based on a descriptive study, it analyses the prospective teacher's perception of use of these tools (electronic portfolio in Moodle-Mahara, in the institutional environment of a university in southern Europe), examining the variables…

Validity of the Learning Portfolio: Analysis of a Portfolio Proposal for the University

ERIC Educational Resources Information Center

Gregori-Giralt, Eva; Menéndez-Varela, José Luis

2015-01-01

Validity is a central issue in portfolio-based assessment. This empirical study used a quantitative approach to analyse the validity of the inferences drawn from a disciplinary course work portfolio assessment comprising profession-specific and learning competencies. The study also examined the problems involved in the development of the…

Student for Student: Peer Learning in Music Higher Education

ERIC Educational Resources Information Center

Reid, Anna; Duke, Michael

2015-01-01

Students of piano and saxophone were asked to explore what peer learning meant to them. Following instrumental-based discussions, and with no intervention from faculty, the students developed a series of videos intended for use with incoming students. This article analyses the students' discussions and videos, and describes the complexity of…

E-Learning as Innovation: Exploring Innovativeness of the VET Teachers' Community in Estonia

ERIC Educational Resources Information Center

Loogma, Krista; Kruusvall, Juri; Umarik, Meril

2012-01-01

In this article, the acceptance of e-learning by teachers of vocational secondary and professional higher education institutions (hereafter: VET teachers) in Estonia has been analysed. The analysis is based on questionnaire study, carried out in 2007. The theoretical framework of the article has been inspired by Everett Rogers' innovation…

Observing and Analyzing Children's Mathematical Development, Based on Action Theory

ERIC Educational Resources Information Center

Bunck, M. J. A.; Terlien, E.; van Groenestijn, M.; Toll, S. W. M.; Van Luit, J. E. H.

2017-01-01

Children who experience difficulties with learning mathematics should be taught by teachers who focus on the child's best way of learning. Analyses of the mathematical difficulties are necessary for fine-tuning mathematics education to the needs of these children. For this reason, an instrument for Observing and Analyzing children's Mathematical…

Teacher's Experiences in PBL: Implications for Practice

ERIC Educational Resources Information Center

Alves, Anabela C.; Sousa, Rui M.; Fernandes, Sandra; Cardoso, Elisabete; Carvalho, Maria Alice; Figueiredo, Jorge; Pereira, Rui M. S.

2016-01-01

Project-Based Learning (PBL) has been implemented in the first year of the Industrial Engineering and Management programme at the University of Minho, Portugal, since 2004/2005. The purpose of this paper is to analyse and discuss teachers' experiences in PBL in this programme and to explore its implications for student learning and for teaching…

Exploring Dynamical Assessments of Affect, Behavior, and Cognition and Math State Test Achievement

ERIC Educational Resources Information Center

San Pedro, Maria Ofelia Z.; Snow, Erica L.; Baker, Ryan S.; McNamara, Danielle S.; Heffernan, Neil T.

2015-01-01

There is increasing evidence that fine-grained aspects of student performance and interaction within educational software are predictive of long-term learning. Machine learning models have been used to provide assessments of affect, behavior, and cognition based on analyses of system log data, estimating the probability of a student's particular…

Technology-Supported Learning in Secondary and Undergraduate Biological Education: Observations from Literature Review

ERIC Educational Resources Information Center

Lee, Silvia Wen-Yu; Tsai, Chin-Chung

2013-01-01

We conducted a literature review of using educational technology in biology learning from 2001 to 2010. A total of 36 empirical articles were included for review. Based upon the content analyses of these studies, such as technologies utilized, student sample, biological topics involved, the research purpose, and methodology, the following…

Do Student Perceptions of Diversity Emphasis Relate to Perceived Learning of Psychology?

ERIC Educational Resources Information Center

Elicker, Joelle D.; Snell, Andrea F.; O'Malley, Alison L.

2010-01-01

We examined the extent to which students' perceived inclusion of diversity issues in the Introduction to Psychology course related to perceptions of learning. Based on the responses of 625 students, multilevel linear modeling analyses revealed that student perceptions of diversity emphasis in the class were positively related to how well students…

Multiple-Try Feedback and Higher-Order Learning Outcomes

ERIC Educational Resources Information Center

Clariana, Roy B.; Koul, Ravinder

2005-01-01

Although feedback is an important component of computer-based instruction (CBI), the effects of feedback on higher-order learning outcomes are not well understood. Several meta-analyses provide two rules of thumb: any feedback is better than no feedback and feedback with more information is better than feedback with less information. …

"Shut up and Squat!" Learning Body Knowledge within the Gym

ERIC Educational Resources Information Center

Andreasson, Jesper

2014-01-01

The aim of this article is to describe and analyse learning processes among bodybuilders in bodybuilding environments, focusing on the ways activities form the basis for incorporation of both physical and cultural knowledge. Emanating from an ethnographic study, the arguments are based on a constructionist approach to knowledge. The result…

Toward a Learning Behavior Tracking Methodology for CA-for-SLA

ERIC Educational Resources Information Center

Markee, Numa

2008-01-01

This paper is principally about methodology. It first summarizes five issues in the emerging research agenda of conversation analysis-for-second language acquisition (CA-for-SLA), and develops empirically based analyses of classroom talk that occurs over several days and months to illustrate how a longitudinal learning behavior tracking (LBT)…

A Dynamic Learning Concept in Early Years' Education: A Possible Way to Prevent Schoolification

ERIC Educational Resources Information Center

Broström, Stig

2017-01-01

In early childhood education and care, Nordic social pedagogy approach is challenged by a learning orientation that often results in unproductive "either/or" thinking. Therefore, based on the two approaches and by analysing several dimensions of Froebel's ideas and prevailing social-historical activity (play) theory, the author deduces…

Youth Perspectives: Schooling, Capabilities Frameworks and Human Rights

ERIC Educational Resources Information Center

Lumby, Jacky; Morrison, Marlene

2009-01-01

Interviews with 14-19 year olds in England and Wales are analysed to explore young people's perceptions of the experience of school and of alternative settings for learning such as further education colleges or work-based learning. Many experience school as oppressive, suggesting a defeasance of their rights as human beings. The paper posits that…

Analysing task design and students' responses to context-based problems through different analytical frameworks

NASA Astrophysics Data System (ADS)

Broman, Karolina; Bernholt, Sascha; Parchmann, Ilka

2015-05-01

Background:Context-based learning approaches are used to enhance students' interest in, and knowledge about, science. According to different empirical studies, students' interest is improved by applying these more non-conventional approaches, while effects on learning outcomes are less coherent. Hence, further insights are needed into the structure of context-based problems in comparison to traditional problems, and into students' problem-solving strategies. Therefore, a suitable framework is necessary, both for the analysis of tasks and strategies. Purpose:The aim of this paper is to explore traditional and context-based tasks as well as students' responses to exemplary tasks to identify a suitable framework for future design and analyses of context-based problems. The paper discusses different established frameworks and applies the Higher-Order Cognitive Skills/Lower-Order Cognitive Skills (HOCS/LOCS) taxonomy and the Model of Hierarchical Complexity in Chemistry (MHC-C) to analyse traditional tasks and students' responses. Sample:Upper secondary students (n=236) at the Natural Science Programme, i.e. possible future scientists, are investigated to explore learning outcomes when they solve chemistry tasks, both more conventional as well as context-based chemistry problems. Design and methods:A typical chemistry examination test has been analysed, first the test items in themselves (n=36), and thereafter 236 students' responses to one representative context-based problem. Content analysis using HOCS/LOCS and MHC-C frameworks has been applied to analyse both quantitative and qualitative data, allowing us to describe different problem-solving strategies. Results:The empirical results show that both frameworks are suitable to identify students' strategies, mainly focusing on recall of memorized facts when solving chemistry test items. Almost all test items were also assessing lower order thinking. The combination of frameworks with the chemistry syllabus has been found successful to analyse both the test items as well as students' responses in a systematic way. The framework can therefore be applied in the design of new tasks, the analysis and assessment of students' responses, and as a tool for teachers to scaffold students in their problem-solving process. Conclusions:This paper gives implications for practice and for future research to both develop new context-based problems in a structured way, as well as providing analytical tools for investigating students' higher order thinking in their responses to these tasks.

[New trends in the evaluation of mathematics learning disabilities. The role of metacognition].

PubMed

Miranda-Casas, A; Acosta-Escareño, G; Tarraga-Minguez, R; Fernández, M I; Rosel-Remírez, J

2005-01-15

The current trends in the evaluation of mathematics learning disabilities (MLD), based on cognitive and empirical models, are oriented towards combining procedures involving the criteria and the evaluation of cognitive and metacognitive processes, associated to performance in mathematical tasks. The objective of this study is to analyse the metacognitive skills of prediction and evaluation in performing maths tasks and to compare metacognitive performance among pupils with MLD and younger pupils without MLD, who have the same level of mathematical performance. Likewise, we analyse these pupils' desire to learn. Subjects and methods. We compare a total of 44 pupils from the second cycle of primary education (8-10 years old) with and without mathematics learning disabilities. Significant differences are observed between pupils with and without mathematics learning disabilities in their capacity to predict and assess all of the tasks evaluated. As regards their 'desire to learn', no significant differences were found between pupils with and without MLD, which indicated that those with MLD assess their chances of successfully performing maths tasks in the same way as those without MLD. Finally, the findings reveal a similar metacognitive profile in pupils with MLD and the younger pupils with no mathematics learning disabilities. In future studies we consider it important to analyse the influence of the socio-affective belief system in the use of metacognitive skills.

Mapping remote and multidisciplinary learning barriers: lessons from challenge-based innovation at CERN

NASA Astrophysics Data System (ADS)

Jensen, Matilde Bisballe; Utriainen, Tuuli Maria; Steinert, Martin

2018-01-01

This paper presents the experienced difficulties of students participating in the multidisciplinary, remote collaborating engineering design course challenge-based innovation at CERN. This is with the aim to identify learning barriers and improve future learning experiences. We statistically analyse the rated differences between distinct design activities, educational background and remote vs. co-located collaboration. The analysis is based on a quantitative and qualitative questionnaire (N = 37). Our analysis found significant ranking differences between remote and co-located activities. This questions whether the remote factor might be a barrier for the originally intended learning goals. Further a correlation between analytical and converging design phases was identified. Hence, future facilitators are suggested to help students in the transition from one design phase to the next rather than only teaching methods in the individual design phases. Finally, we discuss how educators address the identified learning barriers when designing future courses including multidisciplinary or remote collaboration.

Elements of Scenario-Based Learning on Suicidal Patient Care Using Real-Time Video.

PubMed

Lu, Chuehfen; Lee, Hueying; Hsu, Shuhui; Shu, Inmei

2016-01-01

This study aims understanding of students' learning experiences when receiving scenario-based learning combined with real-time video. Videos that recorded student nurses intervention with a suicidal standardized patient (SP) were replayed immediately as teaching materials. Videos clips and field notes from ten classes were analysed. Investigators and method triangulation were used to boost the robustness of the study. Three key elements, emotional involvement, concretizing of the teaching material and substitute learning were identified. Emotions were evoked among the SP, the student performer and the students who were observing, thus facilitating a learning effect. Concretizing of the teaching material refers to students were able to focus on the discussions using visual and verbal information. Substitute learning occurred when the students watching the videos, both the strengths and weaknesses represented were similar to those that would be likely to occur. These key elements explicate their learning experience and suggested a strategic teaching method.

Teacher in a problem-based learning environment - Jack of all trades?

NASA Astrophysics Data System (ADS)

Dahms, Mona Lisa; Spliid, Claus Monrad; Nielsen, Jens Frederik Dalsgaard

2017-11-01

Problem-based learning (PBL) is one among several approaches to active learning. Being a teacher in a PBL environment can, however, be a challenge because of the need to support students' learning within a broad 'landscape of learning'. In this article we will analyse the landscape of learning by use of the study activity model (SAM) developed by the Danish University Colleges, with the aim of investigating to which extent this may lead to explication and clarification concerning the challenges faced by teachers in a PBL environment. In the case study, the SAM is applied to the first semester of an engineering programme at Aalborg University, a university setting where the PBL approach to teaching and learning is dominant. The results of the analysis are presented and discussed, and the conclusion is that the model, in spite of some shortcomings, is useful in clarifying the role of the teacher in a PBL environment.

Developing Environmentally Responsible Behaviours Through the Implementation of Argumentation- and Problem-Based Learning Models

NASA Astrophysics Data System (ADS)

Fettahlıoğlu, Pınar; Aydoğdu, Mustafa

2018-04-01

The purpose of this research is to investigate the effect of using argumentation and problem-based learning approaches on the development of environmentally responsible behaviours among pre-service science teachers. Experimental activities were implemented for 14 weeks for 52 class hours in an environmental education class within a science teaching department. A mixed method was used as a research design; particularly, a special type of Concurrent Nested Strategy was applied. The quantitative portion was based on the one-group pre-test and post-test models, and the qualitative portion was based on the holistic multiple-case study method. The quantitative portion of the research was conducted with 34 third-year pre-service science teachers studying at a state university. The qualitative portion of the study was conducted with six pre-service science teachers selected among the 34 pre-service science teachers based on the pre-test results obtained from an environmentally responsible behaviour scale. t tests for dependent groups were used to analyse quantitative data. Both descriptive and content analyses of the qualitative data were performed. The results of the study showed that the use of the argumentation and problem-based learning approaches significantly contributed to the development of environmentally responsible behaviours among pre-service science teachers.

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

PubMed Central

Susilo, Astrid P.; van Berkel, Henk

2016-01-01

Objectives To identify the student’s readiness to perform self-directed learning and the underlying factors influencing it on the hybrid problem based learning curriculum. Methods A combination of quantitative and qualitative studies was conducted in five medical schools in Indonesia. In the quantitative study, the Self Directed Learning Readiness Scale was distributed to all students in all batches, who had experience with the hybrid problem based curriculum. They were categorized into low- and high -level based on the score of the questionnaire. Three focus group discussions (low-, high-, and mixed level) were conducted in the qualitative study with six to twelve students chosen randomly from each group to find the factors influencing their self-directed learning readiness. Two researchers analysed the qualitative data as a measure of triangulation. Results The quantitative study showed only half of the students had a high-level of self-directed learning readiness, and a similar trend also occurred in each batch. The proportion of students with a high level of self-directed learning readiness was lower in the senior students compared to more junior students. The qualitative study showed that problem based learning processes, assessments, learning environment, students’ life styles, students’ perceptions of the topics, and mood, were factors influencing their self-directed learning. Conclusion A hybrid problem based curriculum may not fully affect the students’ self-directed learning. The curriculum system, teacher’s experiences, student’s background and cultural factors might contribute to the difficulties for the student’s in conducting self-directed learning. PMID:27915308

Psychometric properties of the Danish student well-being questionnaire assessed in >250,000 student responders.

PubMed

Niclasen, Janni; Keilow, Maria; Obel, Carsten

2018-05-01

Well-being is considered a prerequisite for learning. The Danish Ministry of Education initiated the development of a new 40-item student well-being questionnaire in 2014 to monitor well-being among all Danish public school students on a yearly basis. The aim of this study was to investigate the basic psychometric properties of this questionnaire. We used the data from the 2015 Danish student well-being survey for 268,357 students in grades 4-9 (about 85% of the study population). Descriptive statistics, exploratory factor analyses, confirmatory factor analyses and Cronbach's α reliability measures were used in the analyses. The factor analyses did not unambiguously support one particular factor structure. However, based on the basic descriptive statistics, exploratory factor analyses, confirmatory factor analyses, the semantics of the individual items and Cronbach's α, we propose a four-factor structure including 27 of the 40 items originally proposed. The four scales measure school connectedness, learning self-efficacy, learning environment and classroom management. Two bullying items and two psychosomatic items should be considered separately, leaving 31 items in the questionnaire. The proposed four-factor structure addresses central aspects of well-being, which, if used constructively, may support public schools' work to increase levels of student well-being.

A Framework for Re-thinking Learning in Science from Recent Cognitive Science Perspectives

NASA Astrophysics Data System (ADS)

Tytler, Russell; Prain, Vaughan

2010-10-01

Recent accounts by cognitive scientists of factors affecting cognition imply the need to reconsider current dominant conceptual theories about science learning. These new accounts emphasize the role of context, embodied practices, and narrative-based representation rather than learners' cognitive constructs. In this paper we analyse data from a longitudinal study of primary school children's learning to outline a framework based on these contemporary accounts and to delineate key points of difference from conceptual change perspectives. The findings suggest this framework provides strong theoretical and practical insights into how children learn and the key role of representational negotiation in this learning. We argue that the nature and process of conceptual change can be re-interpreted in terms of the development of students' representational resources.

The problem with outcomes-based curricula in medical education: insights from educational theory.

PubMed

Rees, Charlotte E

2004-06-01

Educators across the world are charged with the responsibility of producing core learning outcomes for medical curricula. However, much educational theory exists which deliberates the value of learning outcomes in education. This paper aims to discuss the problems surrounding outcomes-based curricula in medical education, using insights from educational theory. The paper begins with a discussion of the traditions, values and ideologies of medical curricula. It continues by analysing the issue of control within the curriculum and argues that curriculum designers and teachers control product-orientated curricula, leading to student disempowerment. The paper debates outcomes-based curricula from an ideological perspective and argues that learning outcomes cannot specify exactly what is to be achieved as a result of learning. The paper argues that medical schools should adopt a model for co-operative control of the curriculum, thus empowering learners. The paper also suggests that medical educators should determine the value of precise learning outcomes before blindly adopting an outcomes-based model.

Surgical skill acquisition with self-directed practice using computer-based video training.

PubMed

Jowett, Nathan; LeBlanc, Vicki; Xeroulis, George; MacRae, Helen; Dubrowski, Adam

2007-02-01

Computer-based video training (CBVT) provides flexible opportunities for surgical trainees to learn fundamental technical skills, but may be ineffective in self-directed practice settings because of poor trainee self-assessment. This study examined whether CBVT is effective in a self-directed learning environment among novice trainees. Thirty novice trainees used CBVT to learn the 1-handed square knot while self-assessing their proficiency every 3 minutes. On reaching self-assessed skill proficiency, trainees were randomized to either cease practice or to complete additional practice. Performance was evaluated with computer and expert-based measures during practice and on pretests, posttests, and 1-week retention tests. Analyses revealed performance improvements for both groups (all P < .05), but no differences between the 2 groups (all P > .05) on all tests. CBVT for the 1-handed square knot is effective in a self-directed learning environment among novices. This lends support to the implementation of self-directed digital media-based learning within surgical curricula.

ENKI - A tool for analysing the learning efficiency

NASA Astrophysics Data System (ADS)

Simona, Dudáková; Boris, Lacsný; Aba, Teleki

2017-01-01

Long-term memory plays a crucial role in learning mechanisms. We start to build up a probability model of learning (ENKI) ten years ago based on findings of micro genetics published in [1]. We accomplished a number of experiments in our department to testify the validity of the model with success. We described ENKI in detail here, giving the general mathematical formula of the learning curve. This paper pointed out that the model ENKI can detect its own strategy of learning in the brain as well as the simulation of the process of learning that will lead to the development of this method using its own strategy.

Contrasting approaches to the response-contingent learning of young children with significant delays and their social-emotional consequences.

PubMed

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

2017-04-01

The purpose of the analyses described in this paper was to evaluate the direct and indirect effects of two different approaches to child response-contingent learning on rates of child learning and both concomitant and collateral child social-emotional behaviour. The participants were 71 children with significant developmental delays or multiple disabilities randomly assigned to either of the two contrasting approaches to interventions. Findings showed that an intervention which employed practices that built on existing child behaviour (asset-based practices) was more effective than an intervention focusing on teaching children missing skills (needs-based practices) for influencing changes in the rates of child learning as well as rates of child social-emotional behaviour mediated by differences in rates of child learning. Both the theoretical and practical importance of the results are described in terms of the extended social-emotional benefits of asset-based response-contingent learning games. Copyright © 2017 The Author(s). Published by Elsevier Ltd.. All rights reserved.

Promoting higher order thinking skills using inquiry-based learning

NASA Astrophysics Data System (ADS)

Madhuri, G. V.; S. S. N Kantamreddi, V.; Goteti, L. N. S. Prakash

2012-05-01

Active learning pedagogies play an important role in enhancing higher order cognitive skills among the student community. In this work, a laboratory course for first year engineering chemistry is designed and executed using an inquiry-based learning pedagogical approach. The goal of this module is to promote higher order thinking skills in chemistry. Laboratory exercises are designed based on Bloom's taxonomy and a just-in-time facilitation approach is used. A pre-laboratory discussion outlining the theory of the experiment and its relevance is carried out to enable the students to analyse real-life problems. The performance of the students is assessed based on their ability to perform the experiment, design new experiments and correlate practical utility of the course module with real life. The novelty of the present approach lies in the fact that the learning outcomes of the existing experiments are achieved through establishing a relationship with real-world problems.

Learning through inter- and intradisciplinary problem solving: using cognitive apprenticeship to analyse doctor-to-doctor consultation.

PubMed

Pimmer, Christoph; Pachler, Norbert; Nierle, Julia; Genewein, Urs

2012-12-01

Today's healthcare can be characterised by the increasing importance of specialisation that requires cooperation across disciplines and specialities. In view of the number of educational programmes for interdisciplinary cooperation, surprisingly little is known on how learning arises from interdisciplinary work. In order to analyse the learning and teaching practices of interdisciplinary cooperation, a multiple case study research focused on how consults, i.e., doctor-to-doctor consultations between medical doctors from different disciplines were carried out: semi-structured interviews with doctors of all levels of seniority from two hospital sites in Switzerland were conducted. Starting with a priori constructs based on the 'methods' underpinning cognitive apprenticeship (CA), the transcribed interviews were analysed according to the principles of qualitative content analysis. The research contributes to three debates: (1) socio-cognitive and situated learning, (2) intra- and interdisciplinary learning in clinical settings, and (3), more generally, to cooperation and problem solving. Patient cases, which necessitate the cooperation of doctors in consults across boundaries of clinical specialisms, trigger intra- as well as interdisciplinary learning and offer numerous and varied opportunities for learning by requesting doctors as well as for on-call doctors, in particular those in residence. The relevance of consults for learning can also be verified from the perspective of CA which is commonly used by experts, albeit in varying forms, degrees of frequency and quality, and valued by learners. Through data analysis a model for collaborative problem-solving and help-seeking was developed which shows the interplay of pedagogical 'methods' of CA in informal clinical learning contexts.

A Framework for Analysing ICT Adoption in Australian Primary Schools

ERIC Educational Resources Information Center

Way, Jenni; Webb, Colin

2007-01-01

Over 400 e-learning grant applications from Australian primary schools were analysed to determine the nature of the proposed ICT based projects in literacy and numeracy. Three key dimensions emerged from the teacher descriptions: ICT infrastructure, motivation and ICT use, and pedagogy and innovation. The three dimensions, and the interactions…

Exploring the Adult Learning Research Field by Analysing Who Cites Whom

ERIC Educational Resources Information Center

Nylander, Erik; Österlund, Lovisa; Fejes, Andreas

2018-01-01

In this article we report on findings from a large-scale bibliographic study conducted based on the citation practices within the field of research on adult learning. Our data consist of 151,261 citation links between more than 33,000 different authors whose papers were published in five leading international journals in the field of adult…

Implementing Electronic Conferencing within a Distance-Based University: University of South Africa Case Study

ERIC Educational Resources Information Center

Kritzinger, E.; Padayachee, K.; Tolmay, M.

2010-01-01

The outcome of this paper is primarily to survey and analyse student interactions with electronic conferencing systems and to reflect on the impact of such a system on the students' learning within an open distance learning context. This pilot study is articulated within action research methodology to generate critical reflection on collaborative,…

The Role of Scaffolding in CSCL in General and in Specific Environments

ERIC Educational Resources Information Center

Verdú, N.; Sanuy, J.

2014-01-01

This paper aims to analyse if virtual forums set up in an environment specifically designed to improve collaborative learning can effectively influence students' discourse quality and learning when compared with those forums set up in a general environment. Following a coding schema based upon the set of scaffolds offered in the Knowledge…

Comparative Analysis of Teacher Trainee Students' eLearning Technology (ELT) Readiness towards Promoting Global Curriculum Best Practice

ERIC Educational Resources Information Center

Ogwu, Edna N.

2016-01-01

This study compares teacher trainee students (TTSs), electronic learning technology (ELT) readiness, competence as well as their constraints to ELT readiness using 373 University education students' from Botswana and Nigeria that are randomly selected. Data was descriptively analysed based on the research objectives and hypotheses using mean…

Perceived Status and Value: The Student-Customer Relationship Inflected by the Inherent Challenges of University-Industry Collaboration

ERIC Educational Resources Information Center

Heikkinen, Juho; Isomöttönen, Ville

2017-01-01

This article examines how students in a multidisciplinary project-based learning course involving real customers perceive their interactions with their customers. The authors conducted a qualitative study and analysed students' learning reports by means of a thematic network analysis. The analysis shows how students perceive their status in…

User Experience of a Mobile Speaking Application with Automatic Speech Recognition for EFL Learning

ERIC Educational Resources Information Center

Ahn, Tae youn; Lee, Sangmin-Michelle

2016-01-01

With the spread of mobile devices, mobile phones have enormous potential regarding their pedagogical use in language education. The goal of this study is to analyse user experience of a mobile-based learning system that is enhanced by speech recognition technology for the improvement of EFL (English as a foreign language) learners' speaking…

Learning Financial Accounting in a Tertiary Institution of a Developing Country. An Investigation into Instructional Methods

ERIC Educational Resources Information Center

Abeysekera, Indra

2011-01-01

This study examines three instructional methods (traditional, interactive, and group case-based study), and student opinions on their preference for learning financial accounting in large classes at a metropolitan university in Sri Lanka. It analyses the results of a survey questionnaire of students, using quantitative techniques to determine the…

An Investigation into the Opportunity to Learn That Is Available to Grade 12 Mathematics Learners

ERIC Educational Resources Information Center

Stols, Gerrit

2013-01-01

This study investigated the opportunity to learn (OTL) that is available to Grade 12 mathematics learners. Learner workbooks were analysed in terms of time on task, curriculum coverage, curriculum coherence, and cognitive demand. Based on these elements, experienced mathematics teachers judged the opportunity that the learners have to achieve more…

Collaborating with Digital Tools and Peers in Medical Education: Cases and Simulations as Interventions in Learning

ERIC Educational Resources Information Center

Helle, Laura; Saljo, Roger

2012-01-01

Medical education has pioneered educational innovation in higher education as exemplified by the problem-based learning (PBL) movement. A multitude of reviews and meta-analyses indicate that the PBL movement has been successful in many ways. Innovations in medical education, however, are not limited to curricular reform and interactive…

The Intimate Correlation of Invitational Education and Effective Classroom Management

ERIC Educational Resources Information Center

Riner, Phillip S.

2003-01-01

Critics of Invitational Education and other self-concept approaches to learning have long argued that there is a lack of empirical data to support the claims that approaches to student instruction based on self-concept theory are central to effective learning. Ellis (2001) examines a number of these analyses where self-concept, self-esteem, and…

Educational Practices and Services for Students with Learning Disabilities in Oman: Proposed Guidelines

ERIC Educational Resources Information Center

Al-Hilawani, Yasser A.

2015-01-01

The purpose of this paper is to provide description, analyses, and insights with respect to the procedures and services currently available to students enrolled in the learning disability (LD) program in Oman. Traditionally, students in Oman were identified based on low academic achievement by the end of first grade without applying any…

Validation of learning style measures: implications for medical education practice.

PubMed

Chapman, Dane M; Calhoun, Judith G

2006-06-01

It is unclear which learners would most benefit from the more individualised, student-structured, interactive approaches characteristic of problem-based and computer-assisted learning. The validity of learning style measures is uncertain, and there is no unifying learning style construct identified to predict such learners. This study was conducted to validate learning style constructs and to identify the learners most likely to benefit from problem-based and computer-assisted curricula. Using a cross-sectional design, 3 established learning style inventories were administered to 97 post-Year 2 medical students. Cognitive personality was measured by the Group Embedded Figures Test, information processing by the Learning Styles Inventory, and instructional preference by the Learning Preference Inventory. The 11 subscales from the 3 inventories were factor-analysed to identify common learning constructs and to verify construct validity. Concurrent validity was determined by intercorrelations of the 11 subscales. A total of 94 pre-clinical medical students completed all 3 inventories. Five meaningful learning style constructs were derived from the 11 subscales: student- versus teacher-structured learning; concrete versus abstract learning; passive versus active learning; individual versus group learning, and field-dependence versus field-independence. The concurrent validity of 10 of 11 subscales was supported by correlation analysis. Medical students most likely to thrive in a problem-based or computer-assisted learning environment would be expected to score highly on abstract, active and individual learning constructs and would be more field-independent. Learning style measures were validated in a medical student population and learning constructs were established for identifying learners who would most likely benefit from a problem-based or computer-assisted curriculum.

A One-year Case Study: Understanding the Rich Potential of Project-based Learning in a Virtual Reality Class for High School Students

NASA Astrophysics Data System (ADS)

Morales, Teresa M.; Bang, EunJin; Andre, Thomas

2013-10-01

This paper presents a qualitative case analysis of a new and unique, high school, student-directed, project-based learning (PBL), virtual reality (VR) class. In order to create projects, students learned, on an independent basis, how to program an industrial-level VR machine. A constraint was that students were required to produce at least one educational application of VR. This study incorporated in-depth classroom observations, interviews with students, analyses of student projects, and surveys of parents and teachers to examine the social and learning processes in the class, and the nature of content learning represented in student projects. The results demonstrated that PBL can be effective even with minimal teacher guidance. The findings substantiate an educational approach rich with promise, for at least some students, that deserves considerable additional study to maximize its powerful potentials for independent and peer-mentored learning.

The Role of Age and Executive Function in Auditory Category Learning

PubMed Central

Reetzke, Rachel; Maddox, W. Todd; Chandrasekaran, Bharath

2015-01-01

Auditory categorization is a natural and adaptive process that allows for the organization of high-dimensional, continuous acoustic information into discrete representations. Studies in the visual domain have identified a rule-based learning system that learns and reasons via a hypothesis-testing process that requires working memory and executive attention. The rule-based learning system in vision shows a protracted development, reflecting the influence of maturing prefrontal function on visual categorization. The aim of the current study is two-fold: (a) to examine the developmental trajectory of rule-based auditory category learning from childhood through adolescence, into early adulthood; and (b) to examine the extent to which individual differences in rule-based category learning relate to individual differences in executive function. Sixty participants with normal hearing, 20 children (age range, 7–12), 21 adolescents (age range, 13–19), and 19 young adults (age range, 20–23), learned to categorize novel dynamic ripple sounds using trial-by-trial feedback. The spectrotemporally modulated ripple sounds are considered the auditory equivalent of the well-studied Gabor patches in the visual domain. Results revealed that auditory categorization accuracy improved with age, with young adults outperforming children and adolescents. Computational modeling analyses indicated that the use of the task-optimal strategy (i.e. a conjunctive rule-based learning strategy) improved with age. Notably, individual differences in executive flexibility significantly predicted auditory category learning success. The current findings demonstrate a protracted development of rule-based auditory categorization. The results further suggest that executive flexibility coupled with perceptual processes play important roles in successful rule-based auditory category learning. PMID:26491987

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.

The enquiry-based learning experience: An evaluation project.

PubMed

Ashby, Jayne; Hubbert, Vanessa; Cotrel-Gibbons, Liz; Cox, Karen; Digan, John; Lewis, Kerry; Langmack, Gill; Matiti, Milika; McCormick, Damion; Roberts, Lorraine; Taylor, Derek; Thom, Natasha; Wiggs, Mary; Wilson, Linda

2006-01-01

A research and nursing development initiative group consisting of health lecturers and lecturer practitioners set out to evaluate how learners and teachers felt about the introduction of an enquiry based learning (EBL) approach to education. Five focus groups, teachers (1 group) post-registration students (1 group) and pre-registration diploma students (3 groups) were interviewed. Discussions were tape recorded, transcribed, and analysed. The results revealed that students and teachers held disparative views on the efficiency of EBL. Teachers, surprisingly, felt more doubtful and discouraged than learners. Several concerns were raised over the ability of EBL to establish a foothold in a curriculum more noted for a pedagogical stance on learning.

Communication in mental health nursing - Bachelor Students' appraisal of a blended learning training programme - an exploratory study.

PubMed

Furnes, Merete; Kvaal, Kari Sofie; Høye, Sevald

2018-01-01

It is important that mental health nursing students at Bachelor level obtain effective communication skills. Many students dread the fact that in the mental health field they will encounter patients and relatives with various backgrounds and personalities. Large classes and limited teaching resources in nursing education are challenging. To prepare students for mental health nursing practice, a communication skills course based on the blended learning method was developed and carried out at two different campuses.The aim of the study is to explore Bachelor nursing students' appraisal of blended learning methods for enhancing communication skills in mental health nursing. This study employed an exploratory design. Teaching and information materials were available on the learning management system (LMS). Videotaped role play training was carried out in the Simulation Department. Data were collected after the course by means of a questionnaire with closed and open-ended questions. The response rate was 59.2%. Quantitative data were analysed using the Statistical package for the Social Sciences (SPSS) and the Kruskal Wallis test, while qualitative data were analysed by content analysis based on Graneheim and Lundman's approach. No impact of background variables was observed. Students appreciated teachers' participation in role play and immediate feedback was considered especially important for learning outcomes. The students perceived that their communication skills and knowledge had improved after completing the blended learning programme. According to the nursing students, blended learning is an appropriate method for improving communication skills in preparation for mental health nursing. Blended learning makes it possible to build flexible courses with limited resources.

Impact of censoring on learning Bayesian networks in survival modelling.

PubMed

Stajduhar, Ivan; Dalbelo-Basić, Bojana; Bogunović, Nikola

2009-11-01

Bayesian networks are commonly used for presenting uncertainty and covariate interactions in an easily interpretable way. Because of their efficient inference and ability to represent causal relationships, they are an excellent choice for medical decision support systems in diagnosis, treatment, and prognosis. Although good procedures for learning Bayesian networks from data have been defined, their performance in learning from censored survival data has not been widely studied. In this paper, we explore how to use these procedures to learn about possible interactions between prognostic factors and their influence on the variate of interest. We study how censoring affects the probability of learning correct Bayesian network structures. Additionally, we analyse the potential usefulness of the learnt models for predicting the time-independent probability of an event of interest. We analysed the influence of censoring with a simulation on synthetic data sampled from randomly generated Bayesian networks. We used two well-known methods for learning Bayesian networks from data: a constraint-based method and a score-based method. We compared the performance of each method under different levels of censoring to those of the naive Bayes classifier and the proportional hazards model. We did additional experiments on several datasets from real-world medical domains. The machine-learning methods treated censored cases in the data as event-free. We report and compare results for several commonly used model evaluation metrics. On average, the proportional hazards method outperformed other methods in most censoring setups. As part of the simulation study, we also analysed structural similarities of the learnt networks. Heavy censoring, as opposed to no censoring, produces up to a 5% surplus and up to 10% missing total arcs. It also produces up to 50% missing arcs that should originally be connected to the variate of interest. Presented methods for learning Bayesian networks from data can be used to learn from censored survival data in the presence of light censoring (up to 20%) by treating censored cases as event-free. Given intermediate or heavy censoring, the learnt models become tuned to the majority class and would thus require a different approach.

Reading between the Lines: Exploring Methods for Analysing Professional Examiner Feedback Discourse

ERIC Educational Resources Information Center

Johnson, Martin

2017-01-01

This paper uses the remote interactions of professional examiners working for a UK-based awarding body as a vehicle for discussing the benefits of the use of different methods for analysing such discourse. Communication is an area of interest for sociocultural theory because it can potentiate cognitive shifts in participants and affords learning.…

Effects of interactive instructional techniques in a web-based peripheral nervous system component for human anatomy.

PubMed

Allen, Edwin B; Walls, Richard T; Reilly, Frank D

2008-02-01

This study investigated the effects of interactive instructional techniques in a web-based peripheral nervous system (PNS) component of a first year medical school human anatomy course. Existing data from 9 years of instruction involving 856 students were used to determine (1) the effect of web-based interactive instructional techniques on written exam item performance and (2) differences between student opinions of the benefit level of five different types of interactive learning objects used. The interactive learning objects included Patient Case studies, review Games, Simulated Interactive Patients (SIP), Flashcards, and unit Quizzes. Exam item analysis scores were found to be significantly higher (p < 0.05) for students receiving the instructional treatment incorporating the web-based interactive learning objects than for students not receiving this treatment. Questionnaires using a five-point Likert scale were analysed to determine student opinion ratings of the interactive learning objects. Students reported favorably on the benefit level of all learning objects. Students rated the benefit level of the Simulated Interactive Patients (SIP) highest, and this rating was significantly higher (p < 0.05) than all other learning objects. This study suggests that web-based interactive instructional techniques improve student exam performance. Students indicated a strong acceptance of Simulated Interactive Patient learning objects.

Analysing Institutional Influences on Teaching-Learning Practices of English as Second Language Programme in a Pakistani University

ERIC Educational Resources Information Center

Rind, Irfan Ahmed; Kadiwal, Laila

2016-01-01

This paper examines the institutional influences on the teaching-learning practices within English as Second Language (ESL) programme in the University of Sindh (UoS), Pakistan. The study uses qualitative case study approach, basing its findings on documentary review, observations, and responses of teachers and students. The analysis of the data…

Web-Searching to Learn: The Role of Internet Self-Efficacy in Pre-School Educators' Conceptions and Approaches

ERIC Educational Resources Information Center

Kao, Chia-Pin; Chien, Hui-Min

2017-01-01

This study was conducted to explore the relationships between pre-school educators' conceptions of and approaches to learning by web-searching through Internet Self-efficacy. Based on data from 242 pre-school educators who had prior experience of participating in web-searching in Taiwan for path analyses, it was found in this study that…

Incorporating ICT Tools in an Active Engagement Strategy-Based Classroom to Promote Learning Awareness and Self-Monitoring

ERIC Educational Resources Information Center

Kean, Ang Chooi; Embi, Mohamed Amin; Yunus, Melor Md

2012-01-01

The paper examines the influence of incorporating information and communication technology (ICT) tools to help learners to promote learning awareness and self-monitoring skills. An open-ended online questionnaire survey was administered to 15 course participants at the conclusion of the course. The data were analysed on the basis of the percentage…

Maximizing Vocational Teachers' Learning: The Feedback Discussion in The Observation of Teaching for Initial Teacher Training in Further Education

ERIC Educational Resources Information Center

Lahiff, Ann

2015-01-01

This paper draws on case-study research that focused on teaching observations conducted as part of vocational teachers' initial teacher training (ITT) in further education (FE) colleges in England. It analyses the post-observation feedback discussion, drawing on a rich sociocultural tradition within work-based learning literature. It argues that…

The Hidden Turmoil: Females Achieving Longevity in the Outdoor Learning Profession

ERIC Educational Resources Information Center

Wright, Michelle; Gray, Tonia

2013-01-01

Being a woman in the outdoor learning profession can bring distinctive challenges and roadblocks. Even more difficult is sustaining a life-long career, flourishing into a woman's 50s or 60s. Based on this premise, career longevity seems elusive for some women who aspire to work in the outdoors. This paper analyses the autobiographies of three…

Transforming Pedagogies: Encouraging Pre-Service Teachers to Engage the Power of the Arts in Their Approach to Teaching and Learning

ERIC Educational Resources Information Center

McLaren, Mary-Rose; Arnold, Julie

2016-01-01

This paper describes and analyses, through the use of case studies, two experiences of transformative learning in an undergraduate arts education unit. Pre-service teachers designed and engaged with arts-based curriculum activities, created their own artwork, participated in a modified production of The Tempest and kept a reflective journal. These…

The Application of Observational Practice and Educational Networking in Simulation-Based and Distributed Medical Education Contexts.

PubMed

Welsher, Arthur; Rojas, David; Khan, Zain; VanderBeek, Laura; Kapralos, Bill; Grierson, Lawrence E M

2018-02-01

Research has revealed that individuals can improve technical skill performance by viewing demonstrations modeled by either expert or novice performers. These findings support the development of video-based observational practice communities that augment simulation-based skill education and connect geographically distributed learners. This study explores the experimental replicability of the observational learning effect when demonstrations are sampled from a community of distributed learners and serves as a context for understanding learner experiences within this type of training protocol. Participants from 3 distributed medical campuses engaged in a simulation-based learning study of the elliptical excision in which they completed a video-recorded performance before being assigned to 1 of 3 groups for a 2-week observational practice intervention. One group observed expert demonstrations, another observed novice demonstrations, and the third observed a combination of both. Participants returned for posttesting immediately and 1 month after the intervention. Participants also engaged in interviews regarding their perceptions of the usability and relevance of video-based observational practice to clinical education. Checklist (P < 0.0001) and global rating (P < 0.0001) measures indicate that participants, regardless of group assignment, improved after the intervention and after a 1-month retention period. Analyses revealed no significant differences between groups. Qualitative analyses indicate that participants perceived the observational practice platform to be usable, relevant, and potentially improved with enhanced feedback delivery. Video-based observational practice involving expert and/or novice demonstrations enhances simulation-based skill learning in a group of geographically distributed trainees. These findings support the use of Internet-mediated observational learning communities in distributed and simulation-based medical education contexts.

Precarity, Food and Accompaniment in Community and Youth Work

ERIC Educational Resources Information Center

Batsleer, Janet

2016-01-01

Based on an ethnographic study of community-based learning and youth work in Greater Manchester, between 2013 and 2014, the use of food both as a response to precarity and a means of precaritisation is explored. The term "retrophilanthropy" is used to analyse the paradoxical existence of social relations in community-based projects which…

Teachers' Facility with Evidence-Based Classroom Management Practices: An Investigation of Teachers' Preparation Programmes and In-Service Conditions

ERIC Educational Resources Information Center

Ficarra, Laura; Quinn, Kevin

2014-01-01

In the present investigation, teachers' self-reported knowledge and competency ratings for the evidence-based classroom management practices were analysed. Teachers also reflected on how they learned evidence-based classroom management practices. Results suggest that teachers working in schools that implement Positive Behavioural Interventions and…

Pre-Service Teachers' TPACK Development and Conceptions through a TPACK-Based Course

ERIC Educational Resources Information Center

Durdu, Levent; Dag, Funda

2017-01-01

This study examines pre-service teachers' Technological Pedagogical Content Knowledge (TPACK) development and analyses their conceptions of learning and teaching with technology. With this aim in mind, researchers designed and implemented a computer-based mathematics course based on a TPACK framework. As a research methodology, a parallel mixed…

Developing Wave Encyclopaedia based on Scientific Approach

NASA Astrophysics Data System (ADS)

Nurafifah, A.; Budi, A. S.; Siahaan, B. Z.

2017-09-01

Students have many difficulties in understanding to wave propagation. Such difficulties lead to misconceptions also in understanding sound, light, and electromagnetic wave. Meanwhile, students only use the text book as the learning resources. Whereas students need a more varied and interesting learning resources. This study aims to develop a wave encyclopaedia based on scientific approach as the learning resources that tested the feasibility and superiority. The method used is research by design. The steps are (1) analysing learner characteristic, (2) state objective, (3) select media and materials, (4) utilize materials, (5) requires learner participation, (6) evaluation and revision. The wave encyclopaedia is developed by applying the 5 components of a scientific approach that is, observing, questioning, experimenting, associating, and communicating. In this encyclopaedia also includes fun science activities and exciting recommended websites. The encyclopaedia has been validated by material experts, media experts, and learning experts. And then field trials are conducted to assess an impact on use. Overall the development of encyclopaedia based on scientific approach can enhance learning outcomes of students in high school.

Logic Learning Machine and standard supervised methods for Hodgkin's lymphoma prognosis using gene expression data and clinical variables.

PubMed

Parodi, Stefano; Manneschi, Chiara; Verda, Damiano; Ferrari, Enrico; Muselli, Marco

2018-03-01

This study evaluates the performance of a set of machine learning techniques in predicting the prognosis of Hodgkin's lymphoma using clinical factors and gene expression data. Analysed samples from 130 Hodgkin's lymphoma patients included a small set of clinical variables and more than 54,000 gene features. Machine learning classifiers included three black-box algorithms ( k-nearest neighbour, Artificial Neural Network, and Support Vector Machine) and two methods based on intelligible rules (Decision Tree and the innovative Logic Learning Machine method). Support Vector Machine clearly outperformed any of the other methods. Among the two rule-based algorithms, Logic Learning Machine performed better and identified a set of simple intelligible rules based on a combination of clinical variables and gene expressions. Decision Tree identified a non-coding gene ( XIST) involved in the early phases of X chromosome inactivation that was overexpressed in females and in non-relapsed patients. XIST expression might be responsible for the better prognosis of female Hodgkin's lymphoma patients.

Does individual learning styles influence the choice to use a web-based ECG learning programme in a blended learning setting?

PubMed Central

2012-01-01

Background The compressed curriculum in modern knowledge-intensive medicine demands useful tools to achieve approved learning aims in a limited space of time. Web-based learning can be used in different ways to enhance learning. Little is however known regarding its optimal utilisation. Our aim was to investigate if the individual learning styles of medical students influence the choice to use a web-based ECG learning programme in a blended learning setting. Methods The programme, with three types of modules (learning content, self-assessment questions and interactive ECG interpretation training), was offered on a voluntary basis during a face to face ECG learning course for undergraduate medical students. The Index of Learning Styles (ILS) and a general questionnaire including questions about computer and Internet usage, preferred future speciality and prior experience of E-learning were used to explore different factors related to the choice of using the programme or not. Results 93 (76%) out of 123 students answered the ILS instrument and 91 the general questionnaire. 55 students (59%) were defined as users of the web-based ECG-interpretation programme. Cronbach's alpha was analysed with coefficients above 0.7 in all of the four dimensions of ILS. There were no significant differences with regard to learning styles, as assessed by ILS, between the user and non-user groups; Active/Reflective; Visual/Verbal; Sensing/Intuitive; and Sequential/Global (p = 0.56-0.96). Neither did gender, prior experience of E-learning or preference for future speciality differ between groups. Conclusion Among medical students, neither learning styles according to ILS, nor a number of other characteristics seem to influence the choice to use a web-based ECG programme. This finding was consistent also when the usage of the different modules in the programme were considered. Thus, the findings suggest that web-based learning may attract a broad variety of medical students. PMID:22248183

Does individual learning styles influence the choice to use a web-based ECG learning programme in a blended learning setting?

PubMed

Nilsson, Mikael; Östergren, Jan; Fors, Uno; Rickenlund, Anette; Jorfeldt, Lennart; Caidahl, Kenneth; Bolinder, Gunilla

2012-01-16

The compressed curriculum in modern knowledge-intensive medicine demands useful tools to achieve approved learning aims in a limited space of time. Web-based learning can be used in different ways to enhance learning. Little is however known regarding its optimal utilisation. Our aim was to investigate if the individual learning styles of medical students influence the choice to use a web-based ECG learning programme in a blended learning setting. The programme, with three types of modules (learning content, self-assessment questions and interactive ECG interpretation training), was offered on a voluntary basis during a face to face ECG learning course for undergraduate medical students. The Index of Learning Styles (ILS) and a general questionnaire including questions about computer and Internet usage, preferred future speciality and prior experience of E-learning were used to explore different factors related to the choice of using the programme or not. 93 (76%) out of 123 students answered the ILS instrument and 91 the general questionnaire. 55 students (59%) were defined as users of the web-based ECG-interpretation programme. Cronbach's alpha was analysed with coefficients above 0.7 in all of the four dimensions of ILS. There were no significant differences with regard to learning styles, as assessed by ILS, between the user and non-user groups; Active/Reflective; Visual/Verbal; Sensing/Intuitive; and Sequential/Global (p = 0.56-0.96). Neither did gender, prior experience of E-learning or preference for future speciality differ between groups. Among medical students, neither learning styles according to ILS, nor a number of other characteristics seem to influence the choice to use a web-based ECG programme. This finding was consistent also when the usage of the different modules in the programme were considered. Thus, the findings suggest that web-based learning may attract a broad variety of medical students.

Exploring creativity and critical thinking in traditional and innovative problem-based learning groups.

PubMed

Chan, Zenobia C Y

2013-08-01

To explore students' attitude towards problem-based learning, creativity and critical thinking, and the relevance to nursing education and clinical practice. Critical thinking and creativity are crucial in nursing education. The teaching approach of problem-based learning can help to reduce the difficulties of nurturing problem-solving skills. However, there is little in the literature on how to improve the effectiveness of a problem-based learning lesson by designing appropriate and innovative activities such as composing songs, writing poems and using role plays. Exploratory qualitative study. A sample of 100 students participated in seven semi-structured focus groups, of which two were innovative groups and five were standard groups, adopting three activities in problem-based learning, namely composing songs, writing poems and performing role plays. The data were analysed using thematic analysis. There are three themes extracted from the conversations: 'students' perceptions of problem-based learning', 'students' perceptions of creative thinking' and 'students' perceptions of critical thinking'. Participants generally agreed that critical thinking is more important than creativity in problem-based learning and clinical practice. Participants in the innovative groups perceived a significantly closer relationship between critical thinking and nursing care, and between creativity and nursing care than the standard groups. Both standard and innovative groups agreed that problem-based learning could significantly increase their critical thinking and problem-solving skills. Further, by composing songs, writing poems and using role plays, the innovative groups had significantly increased their awareness of the relationship among critical thinking, creativity and nursing care. Nursing educators should include more types of creative activities than it often does in conventional problem-based learning classes. The results could help nurse educators design an appropriate curriculum for preparing professional and ethical nurses for future clinical practice. © 2013 Blackwell Publishing Ltd.

Simple Plans or Sophisticated Habits? State, Transition and Learning Interactions in the Two-Step Task.

PubMed

Akam, Thomas; Costa, Rui; Dayan, Peter

2015-12-01

The recently developed 'two-step' behavioural task promises to differentiate model-based from model-free reinforcement learning, while generating neurophysiologically-friendly decision datasets with parametric variation of decision variables. These desirable features have prompted its widespread adoption. Here, we analyse the interactions between a range of different strategies and the structure of transitions and outcomes in order to examine constraints on what can be learned from behavioural performance. The task involves a trade-off between the need for stochasticity, to allow strategies to be discriminated, and a need for determinism, so that it is worth subjects' investment of effort to exploit the contingencies optimally. We show through simulation that under certain conditions model-free strategies can masquerade as being model-based. We first show that seemingly innocuous modifications to the task structure can induce correlations between action values at the start of the trial and the subsequent trial events in such a way that analysis based on comparing successive trials can lead to erroneous conclusions. We confirm the power of a suggested correction to the analysis that can alleviate this problem. We then consider model-free reinforcement learning strategies that exploit correlations between where rewards are obtained and which actions have high expected value. These generate behaviour that appears model-based under these, and also more sophisticated, analyses. Exploiting the full potential of the two-step task as a tool for behavioural neuroscience requires an understanding of these issues.

Simple Plans or Sophisticated Habits? State, Transition and Learning Interactions in the Two-Step Task

PubMed Central

Akam, Thomas; Costa, Rui; Dayan, Peter

2015-01-01

The recently developed ‘two-step’ behavioural task promises to differentiate model-based from model-free reinforcement learning, while generating neurophysiologically-friendly decision datasets with parametric variation of decision variables. These desirable features have prompted its widespread adoption. Here, we analyse the interactions between a range of different strategies and the structure of transitions and outcomes in order to examine constraints on what can be learned from behavioural performance. The task involves a trade-off between the need for stochasticity, to allow strategies to be discriminated, and a need for determinism, so that it is worth subjects’ investment of effort to exploit the contingencies optimally. We show through simulation that under certain conditions model-free strategies can masquerade as being model-based. We first show that seemingly innocuous modifications to the task structure can induce correlations between action values at the start of the trial and the subsequent trial events in such a way that analysis based on comparing successive trials can lead to erroneous conclusions. We confirm the power of a suggested correction to the analysis that can alleviate this problem. We then consider model-free reinforcement learning strategies that exploit correlations between where rewards are obtained and which actions have high expected value. These generate behaviour that appears model-based under these, and also more sophisticated, analyses. Exploiting the full potential of the two-step task as a tool for behavioural neuroscience requires an understanding of these issues. PMID:26657806

Model-Based and Model-Free Pavlovian Reward Learning: Revaluation, Revision and Revelation

PubMed Central

Dayan, Peter; Berridge, Kent C.

2014-01-01

Evidence supports at least two methods for learning about reward and punishment and making predictions for guiding actions. One method, called model-free, progressively acquires cached estimates of the long-run values of circumstances and actions from retrospective experience. The other method, called model-based, uses representations of the environment, expectations and prospective calculations to make cognitive predictions of future value. Extensive attention has been paid to both methods in computational analyses of instrumental learning. By contrast, although a full computational analysis has been lacking, Pavlovian learning and prediction has typically been presumed to be solely model-free. Here, we revise that presumption and review compelling evidence from Pavlovian revaluation experiments showing that Pavlovian predictions can involve their own form of model-based evaluation. In model-based Pavlovian evaluation, prevailing states of the body and brain influence value computations, and thereby produce powerful incentive motivations that can sometimes be quite new. We consider the consequences of this revised Pavlovian view for the computational landscape of prediction, response and choice. We also revisit differences between Pavlovian and instrumental learning in the control of incentive motivation. PMID:24647659

Model-based and model-free Pavlovian reward learning: revaluation, revision, and revelation.

PubMed

Dayan, Peter; Berridge, Kent C

2014-06-01

Evidence supports at least two methods for learning about reward and punishment and making predictions for guiding actions. One method, called model-free, progressively acquires cached estimates of the long-run values of circumstances and actions from retrospective experience. The other method, called model-based, uses representations of the environment, expectations, and prospective calculations to make cognitive predictions of future value. Extensive attention has been paid to both methods in computational analyses of instrumental learning. By contrast, although a full computational analysis has been lacking, Pavlovian learning and prediction has typically been presumed to be solely model-free. Here, we revise that presumption and review compelling evidence from Pavlovian revaluation experiments showing that Pavlovian predictions can involve their own form of model-based evaluation. In model-based Pavlovian evaluation, prevailing states of the body and brain influence value computations, and thereby produce powerful incentive motivations that can sometimes be quite new. We consider the consequences of this revised Pavlovian view for the computational landscape of prediction, response, and choice. We also revisit differences between Pavlovian and instrumental learning in the control of incentive motivation.

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.

Towards a Quality Assessment Method for Learning Preference Profiles in Negotiation

NASA Astrophysics Data System (ADS)

Hindriks, Koen V.; Tykhonov, Dmytro

In automated negotiation, information gained about an opponent's preference profile by means of learning techniques may significantly improve an agent's negotiation performance. It therefore is useful to gain a better understanding of how various negotiation factors influence the quality of learning. The quality of learning techniques in negotiation are typically assessed indirectly by means of comparing the utility levels of agreed outcomes and other more global negotiation parameters. An evaluation of learning based on such general criteria, however, does not provide any insight into the influence of various aspects of negotiation on the quality of the learned model itself. The quality may depend on such aspects as the domain of negotiation, the structure of the preference profiles, the negotiation strategies used by the parties, and others. To gain a better understanding of the performance of proposed learning techniques in the context of negotiation and to be able to assess the potential to improve the performance of such techniques a more systematic assessment method is needed. In this paper we propose such a systematic method to analyse the quality of the information gained about opponent preferences by learning in single-instance negotiations. The method includes measures to assess the quality of a learned preference profile and proposes an experimental setup to analyse the influence of various negotiation aspects on the quality of learning. We apply the method to a Bayesian learning approach for learning an opponent's preference profile and discuss our findings.

The Use of Discourse in Enabling Access Physics Students to Construct Meaning of Magnetic Field Patterns

ERIC Educational Resources Information Center

Qhobela, Makomosela; Rollnick, Marissa

2010-01-01

This paper analyses discourse produced in a larger study aimed at encouraging students in Lesotho to talk the language of science as a meaningful way of learning. The paper presents a semiotic and activity based analysis of discourses of students learning to talk physics while enrolled in a pre-tertiary access programme. Prior to the access…

Exploring the Engineering Student Experience: Findings from the Academic Pathways of People Learning Engineering Survey (APPLES). TR-10-01

ERIC Educational Resources Information Center

Sheppard, Sheri; Gilmartin, Shannon; Chen, Helen L.; Donaldson, Krista; Lichtenstein, Gary; Eris, Ozgur; Lande, Micah; Toye, George

2010-01-01

This report is based on data from the Academic Pathways of People Learning Engineering Survey (APPLES), administered to engineering students at 21 U.S. engineering colleges and schools in the spring of 2008. The first comprehensive set of analyses completed on the APPLES dataset presented here looks at how engineering students experience their…

Raising the Leaving Learning Age: Are the Public Convinced? A Survey of Parents and Teenagers. Research Report

ERIC Educational Resources Information Center

Villeneuve-Smith, Frank; Marshall, Liz; Munoz, Silvia

2007-01-01

This research explores the attitudes of parents and teenagers towards the proposals in the "Raising expectations" Green Paper. It is based on a public opinion poll of 920 parents and 380 teenagers in the United Kingdom, which ran between 30 March and 10 April 2007. The results were analysed by Learning and Skills Network statisticians.…

A Framework for Laboratory Pre-Work Based on the Concepts, Tools and Techniques Questioning Method

ERIC Educational Resources Information Center

Huntula, J.; Sharma, M. D.; Johnston, I.; Chitaree, R.

2011-01-01

Learning in the laboratory is different from learning in other contexts because students have to engage with various aspects of the practice of science. They have to use many skills and knowledge in parallel--not only to understand the concepts of physics but also to use the tools and analyse the data. The question arises, how to best guide…

Analysis of the Cognitive Unity or Rupture between Conjecture and Proof When Learning to Prove on a Grade 10 Trigonometry Course

ERIC Educational Resources Information Center

Fiallo, Jorge; Gutiérrez, Angel

2017-01-01

We present results from a classroom-based intervention designed to help a class of grade 10 students (14-15 years old) learn proof while studying trigonometry in a dynamic geometry software environment. We analysed some students' solutions to conjecture-and-proof problems that let them gain experience in stating conjectures and developing proofs.…

The Competence of Modelling in Learning Chemical Change: A Study with Secondary School Students

ERIC Educational Resources Information Center

Oliva, José Mª; del Mar Aragón, María; Cuesta, Josefa

2015-01-01

The competence of modelling as part of learning about chemical change is analysed in a sample of 35 secondary students, ages 14-15 years, during their study of a curricular unit on this topic. The teaching approach followed is model based, with frequent use of analogies and mechanical models (fruits and bowls, Lego pieces, balls of plasticine,…

``Learning to Research'' in a Virtual Learning Environment: A Case Study on the Effectiveness of a Socio-constructivist Learning Design

NASA Astrophysics Data System (ADS)

López-Alonso, C.; Fernández-Pampillón, A.; de-Miguel, E.; Pita, G.

Learning is the basis for research and lifelong training. The implementation of virtual environments for developing this competency requires the use of effective learning models. In this study we present an experiment in positive learning from the virtual campus of the Complutense University of Madrid (UCM). In order to carry it out we have used E-Ling, an e-learning environment that has been developed with an innovative didactic design based on a socio-constructivist learning approach. E-Ling has been used since 2006 to train future teachers and researchers in “learning to research”. Some of the results of this experiment have been statistically analysed in order to compare them with other learning models. From the obtained results we have concluded that E-Ling is a more productive proposal for developing competences in learning to research.

A review on machine learning principles for multi-view biological data integration.

PubMed

Li, Yifeng; Wu, Fang-Xiang; Ngom, Alioune

2018-03-01

Driven by high-throughput sequencing techniques, modern genomic and clinical studies are in a strong need of integrative machine learning models for better use of vast volumes of heterogeneous information in the deep understanding of biological systems and the development of predictive models. How data from multiple sources (called multi-view data) are incorporated in a learning system is a key step for successful analysis. In this article, we provide a comprehensive review on omics and clinical data integration techniques, from a machine learning perspective, for various analyses such as prediction, clustering, dimension reduction and association. We shall show that Bayesian models are able to use prior information and model measurements with various distributions; tree-based methods can either build a tree with all features or collectively make a final decision based on trees learned from each view; kernel methods fuse the similarity matrices learned from individual views together for a final similarity matrix or learning model; network-based fusion methods are capable of inferring direct and indirect associations in a heterogeneous network; matrix factorization models have potential to learn interactions among features from different views; and a range of deep neural networks can be integrated in multi-modal learning for capturing the complex mechanism of biological systems.

The interprofessional learning experience: Findings from a qualitative study based in an outpatient setting.

PubMed

Jakobsen, Flemming; Mørcke, Anne Mette; Hansen, Torben Bæk

2017-09-01

Clinical interprofessional education has traditionally taken place in hospital wards, but much diagnosis and treatment have shifted to the outpatient setting. The logical consequence is to shift more students' clinical placements from the "bedside" to outpatient settings. However, it is unclear how we ensure that this shift maximises learning. The purpose of this article is to understand the authentic learning experience in an interprofessional outpatient clinic setting. We performed an exploratory case study with interviews of four nursing students, 13 medical students, and six staff members who worked in an interprofessional outpatient orthopaedic clinic from March 2015 to January 2016. The interviews were transcribed and analysed using systematic text condensation. The students' self-reported learning experience in this outpatient clinic was characterised by direct patient contact and by authentic, interprofessional, task-based learning, and a preference for indirect supervision when conducting uncomplicated patient consultations. The supervisors intended to create this interprofessional outpatient clinic experience by having a clear teaching approach based on adult learning principles in a safe and challenging learning environment. The shift to the outpatient setting was strongly and practically supported by the management. This study indicates that student learning can be shifted to the outpatient clinic setting if there is supportive management and dedicated supervisors who establish a challenging yet safe interprofessional learning environment.

An Evaluation of the Impact of E-Learning Media Formats on Student Perception and Performance

NASA Astrophysics Data System (ADS)

Kurbel, Karl; Stankov, Ivo; Datsenka, Rastsislau

Factors influencing student evaluation of web-based courses are analyzed, based on student feedback from an online distance-learning graduate program. The impact of different media formats on the perception of the courses by the students as well as on their performance in these courses are examined. In particular, we studied conventional hypertext-based courses, video-based courses and audio-based courses, and tried to find out whether the media format has an effect on how students assess courses and how good or bad their grades are. Statistical analyses were performed to answer several research questions related to the topic and to properly evaluate the factors influencing student evaluation.

Machine Learning Based Classification of Microsatellite Variation: An Effective Approach for Phylogeographic Characterization of Olive Populations.

PubMed

Torkzaban, Bahareh; Kayvanjoo, Amir Hossein; Ardalan, Arman; Mousavi, Soraya; Mariotti, Roberto; Baldoni, Luciana; Ebrahimie, Esmaeil; Ebrahimi, Mansour; Hosseini-Mazinani, Mehdi

2015-01-01

Finding efficient analytical techniques is overwhelmingly turning into a bottleneck for the effectiveness of large biological data. Machine learning offers a novel and powerful tool to advance classification and modeling solutions in molecular biology. However, these methods have been less frequently used with empirical population genetics data. In this study, we developed a new combined approach of data analysis using microsatellite marker data from our previous studies of olive populations using machine learning algorithms. Herein, 267 olive accessions of various origins including 21 reference cultivars, 132 local ecotypes, and 37 wild olive specimens from the Iranian plateau, together with 77 of the most represented Mediterranean varieties were investigated using a finely selected panel of 11 microsatellite markers. We organized data in two '4-targeted' and '16-targeted' experiments. A strategy of assaying different machine based analyses (i.e. data cleaning, feature selection, and machine learning classification) was devised to identify the most informative loci and the most diagnostic alleles to represent the population and the geography of each olive accession. These analyses revealed microsatellite markers with the highest differentiating capacity and proved efficiency for our method of clustering olive accessions to reflect upon their regions of origin. A distinguished highlight of this study was the discovery of the best combination of markers for better differentiating of populations via machine learning models, which can be exploited to distinguish among other biological populations.

The study of topics of Astronomy in Physics teaching that addresses the significant learning

NASA Astrophysics Data System (ADS)

Santos Neta, M. L.; Voelzke, M. R.

2017-12-01

In this work are discussed the results of the case study on the oceanic tides for which it was used didactic sequences, based on the Cycle of Experience of George Kelly (Kelly 1963), applied in four groups of the first year of the integral medium teaching. The data obtained in two same tests - Pre and Post-Test - before and after the application of the didactic sequences, as well as the verification of the significant learning analysed as for the conditions of the previous knowledge considering authors Boczko (1984), Horvath (2008) and Kepler & Saraiva (2013). Also the values were analysed obtained the Post-Test II applied to the long period. The results reveal that the worked groups presented previous knowledge in conditions adapted for the understanding of the event, as well as, for they be used in the situation-problem resolution that demands the understanding. Verify also that the idea of the didactic sequence can be used as tool in the relationship teaching-learning addressed to the significant learning.

Two Meta-Analyses Exploring the Relationship between Teacher Clarity and Student Learning

ERIC Educational Resources Information Center

Titsworth, Scott; Mazer, Joseph P.; Goodboy, Alan K.; Bolkan, San; Myers, Scott A.

2015-01-01

This article reports the findings of two meta-analyses that explored the relationship between teacher clarity and student learning. Combined, the results suggest that teacher clarity has a larger effect for student affective learning than for cognitive learning. However, neither the effects for cognitive learning nor affective learning were…

The effect of active learning on student characteristics in a human physiology course for nonmajors.

PubMed

Wilke, R Russell

2003-12-01

This study investigated the effect of active-learning strategies on college students' achievement, motivation, and self-efficacy in a human physiology course for nonmajors. Variables were studied via a quasi-experimental, Solomon four-group design on 141 students at a small west-Texas university. Treatment groups were taught using a continuum-based, active-learning model implemented over the course of a semester. Control groups were taught using traditional didactic lecture methods. To assess the effects of the continuum-based active learning strategies, students were administered a comprehensive physiology content exam, the Motivated Strategies for Learning Questionnaire, and attitude surveys. Factorial analyses indicated that the treatment groups acquired significantly more content knowledge and were significantly more self-efficacious than students in the control groups. There were no significant differences in motivation. Attitude surveys indicated that students in both the treatment and control groups demonstrated a positive attitude toward active learning, believed it helped (or would help) them to learn the material, and would choose an active learning course in the future.

Deep learning predictions of survival based on MRI in amyotrophic lateral sclerosis.

PubMed

van der Burgh, Hannelore K; Schmidt, Ruben; Westeneng, Henk-Jan; de Reus, Marcel A; van den Berg, Leonard H; van den Heuvel, Martijn P

2017-01-01

Amyotrophic lateral sclerosis (ALS) is a progressive neuromuscular disease, with large variation in survival between patients. Currently, it remains rather difficult to predict survival based on clinical parameters alone. Here, we set out to use clinical characteristics in combination with MRI data to predict survival of ALS patients using deep learning, a machine learning technique highly effective in a broad range of big-data analyses. A group of 135 ALS patients was included from whom high-resolution diffusion-weighted and T1-weighted images were acquired at the first visit to the outpatient clinic. Next, each of the patients was monitored carefully and survival time to death was recorded. Patients were labeled as short, medium or long survivors, based on their recorded time to death as measured from the time of disease onset. In the deep learning procedure, the total group of 135 patients was split into a training set for deep learning (n = 83 patients), a validation set (n = 20) and an independent evaluation set (n = 32) to evaluate the performance of the obtained deep learning networks. Deep learning based on clinical characteristics predicted survival category correctly in 68.8% of the cases. Deep learning based on MRI predicted 62.5% correctly using structural connectivity and 62.5% using brain morphology data. Notably, when we combined the three sources of information, deep learning prediction accuracy increased to 84.4%. Taken together, our findings show the added value of MRI with respect to predicting survival in ALS, demonstrating the advantage of deep learning in disease prognostication.

Students' experiences of role, relationships and learning in two clerkship models.

PubMed

Konkin, D Jill; Suddards, Carol

2017-05-01

An increasing number of medical schools around the world are implementing longitudinal integrated clerkships (LICs). The University of Alberta's third-year LIC admits a small group of each class. Those not in the LIC undertake a rotation-based clerkship (RBC). All students have a fourth-year RBC. Meaningful participation in patient care and guidance have been identified as affordances for work-based learning. This qualitative study is part of an ongoing research programme conducted in a hermeneutic phenomenological frame. The overarching research question is: What is the lived experience of integrated community clerkship (ICC) students in their clerkships? This paper focuses on an emic question, that is, one arising from the analysis, which was: What was the experience of ICC students in their transitioning to the fourth year? One-to-one reflective conversations with LIC students when they were at the end of their fourth year were the source of the material analysed. Transcripts were first analysed by each researcher and then co-analysed with an emphasis on overall meaning. Results are from conversations with 33 students from the first five LIC cohorts. Socio-cultural learning theory was used as an interpretive framework. This study identifies that the length and nature of placements led to continuity relationships for students with patients and teachers and meaningful participation in patient care. These are an interwoven set of affordances that facilitate learning in the ICC. Participants described the loss of these affordances in the RBC, resulting in diminished confidence, disruption of the learning trajectory and a re-forming of identity. It is important for all medical schools with LICs followed by RBCs to consider the differences between these two clerkships as experienced by students in order to determine how best to support students as they navigate through both. Medical educators need to examine all of their clerkships to identify the affordances that support learning. © 2017 John Wiley & Sons Ltd and The Association for the Study of Medical Education.

An Analysis of Multiple Factors Affecting Retention in Web-Based Community College Courses

ERIC Educational Resources Information Center

Doherty, William

2006-01-01

The current study examined four factors affecting retention in Web-based community college courses. Analyses were conducted on student demographics, student learning styles, course communication and external factors. The results suggest that Web-based courses are more attractive to busy students who are also more likely to fail or drop the course.…

An Analysis of Context-Based Similarity Tasks in Textbooks from Brazil and the United States

ERIC Educational Resources Information Center

Barcelos Amaral, Rúbia; Hollebrands, Karen

2017-01-01

Three textbooks from Brazil and three textbooks from the United States were analysed with a focus on similarity and context-based tasks. Students' opportunities to learn similarity were examined by considering whether students were provided context-based tasks of high cognitive demand and whether those tasks included missing or superfluous…

Data-Based Decision-Making: Developing a Method for Capturing Teachers' Understanding of CBM Graphs

ERIC Educational Resources Information Center

Espin, Christine A.; Wayman, Miya Miura; Deno, Stanley L.; McMaster, Kristen L.; de Rooij, Mark

2017-01-01

In this special issue, we explore the decision-making aspect of "data-based decision-making". The articles in the issue address a wide range of research questions, designs, methods, and analyses, but all focus on data-based decision-making for students with learning difficulties. In this first article, we introduce the topic of…

Students' perceptions of a blended learning experience in dental education.

PubMed

Varthis, S; Anderson, O R

2018-02-01

"Flipped" instructional sequencing is a new instructional method where online instruction precedes the group meeting, allowing for more sophisticated learning through discussion and critical thinking during the in-person class session; a novel approach studied in this research. The purpose of this study was to document dental students' perceptions of flipped-based blended learning and to apply a new method of displaying their perceptions based on Likert-scale data analysis using a network diagramming method known as an item correlation network diagram (ICND). In addition, this article aimed to encourage institutions or course directors to consider self-regulated learning and social constructivism as a theoretical framework when blended learning is incorporated in dental curricula. Twenty (second year) dental students at a Northeastern Regional Dental School in the United States participated in this study. A Likert scale was administered before and after the learning experience to obtain evidence of their perceptions of its quality and educational merits. Item correlation network diagrams, based on the intercorrelations amongst the responses to the Likert-scale items, were constructed to display students' changes in perceptions before and after the learning experience. Students reported positive perceptions of the blended learning, and the ICND analysis of their responses before and after the learning experience provided insights into their social (group-based) cognition about the learning experience. The ICNDs are considered evidence of social or group-based cognition, because they are constructed from evidence obtained using intercorrelations of the total group responses to the Likert-scale items. The students positively received blended learning in dental education, and the ICND analyses demonstrated marked changes in their social cognition of the learning experience based on the pre- and post-Likert survey data. Self-regulated learning and social constructivism are encouraged as useful theoretical frameworks for a blended learning approach. © 2016 John Wiley & Sons A/S. Published by John Wiley & Sons Ltd.

Content-based VLE designs improve learning efficiency in constructivist statistics education.

PubMed

Wessa, Patrick; De Rycker, Antoon; Holliday, Ian Edward

2011-01-01

We introduced a series of computer-supported workshops in our undergraduate statistics courses, in the hope that it would help students to gain a deeper understanding of statistical concepts. This raised questions about the appropriate design of the Virtual Learning Environment (VLE) in which such an approach had to be implemented. Therefore, we investigated two competing software design models for VLEs. In the first system, all learning features were a function of the classical VLE. The second system was designed from the perspective that learning features should be a function of the course's core content (statistical analyses), which required us to develop a specific-purpose Statistical Learning Environment (SLE) based on Reproducible Computing and newly developed Peer Review (PR) technology. The main research question is whether the second VLE design improved learning efficiency as compared to the standard type of VLE design that is commonly used in education. As a secondary objective we provide empirical evidence about the usefulness of PR as a constructivist learning activity which supports non-rote learning. Finally, this paper illustrates that it is possible to introduce a constructivist learning approach in large student populations, based on adequately designed educational technology, without subsuming educational content to technological convenience. Both VLE systems were tested within a two-year quasi-experiment based on a Reliable Nonequivalent Group Design. This approach allowed us to draw valid conclusions about the treatment effect of the changed VLE design, even though the systems were implemented in successive years. The methodological aspects about the experiment's internal validity are explained extensively. The effect of the design change is shown to have substantially increased the efficiency of constructivist, computer-assisted learning activities for all cohorts of the student population under investigation. The findings demonstrate that a content-based design outperforms the traditional VLE-based design.

Social Learning Theory: its application in the context of nurse education.

PubMed

Bahn, D

2001-02-01

Cognitive theories are fundamental to enable problem solving and the ability to understand and apply principles in a variety of situations. This article looks at Social Learning Theory, critically analysing its principles, which are based on observational learning and modelling, and considering its value and application in the context of nurse education. It also considers the component processes that will determine the outcome of observed behaviour, other than reinforcement, as identified by Bandura, namely: attention, retention, motor reproduction, and motivation. Copyright 2001 Harcourt Publishers Ltd.

Organizational Learning and the Learning Organization: Reviewing Evolution for Prospecting the Future

ERIC Educational Resources Information Center

Rebelo, Teresa Manuela; Gomes, Adelino Duarte

2008-01-01

Purpose: The purpose of this article is to analyse the evolution of the concepts of organizational learning and the learning organization and propose guidelines for the future. Design/methodology/approach: The evolution of organizational learning and the learning organization is analysed in the light of the three-stage model of the evolution of…

Work-Based Learning Programmes for Young People in the Mediterranean Region: Algeria, Egypt, Israel, Jordan, Lebanon, Morocco, the Occupied Palestinian Territory, Syria, Tunisia and Turkey. Comparative Analyses

ERIC Educational Resources Information Center

Sweet, Richard

2009-01-01

This report examines programmes for youth that combine learning in classrooms with participation in work in 10 Mediterranean countries: Algeria, Egypt, Israel, Jordan, Lebanon, Morocco, the Occupied Palestinian Territory, Syria, Tunisia and Turkey. It is one element, together with the development of a network of policymakers and experts from the…

Education across the Divide: Shared Learning of Separate Jewish and Arab Schools in a Mixed City in Israel

ERIC Educational Resources Information Center

Payes, Shany

2018-01-01

This article examines the impact of contact-based educational encounter strategies of shared learning on Jewish-Arab relations in Israel. It analyses a programme of education for shared life that takes place in a mixed (75% Jewish/25% Arab) city at the centre of Israel since 2012. The programme aims to mitigate Jewish-Arab relations in the city…

Bridging the gap between self-directed learning of nurse educators and effective student support.

PubMed

Van Rensburg, Gisela H; Botma, Yvonne

2015-11-26

Self-directed learning requires the ability to identify one's own learning needs, develop and implement a plan to gain knowledge and to monitor one's own progress. A lifelong learning approach cannot be forced, since it is in essence an internally driven process. Nurse educators can, however, act as role models to empower their students to become independent learners by modelling their own self-directed learning and applying a number of techniques in supporting their students in becoming ready for self-directed learning.  The aim of the article is to describe the manifestations and implications of the gap between self-directed learning readiness of nurse educators and educational trends in supporting students.  An instrumental case study design was used to gain insight into the manifestations and implications of self-directed learning of nurse educators. Based on the authentic foci of various critical incidents and literature, data were collected and constructed into a fictitious case. The authors then deductively analysed the case by using the literature on self-directed learning readiness as departure point. Four constructs of self-directed learning were identified, namely internal motivation, planning and implementation, self-monitoring and interpersonal communication. Supportive strategies were identified from the available literature.  Nine responses by nurse educators based on the fictitious case were analysed.Analysis showed that readiness for self-directed learning in terms of the identified constructswas interrelated and not mutually exclusive of one other.  The success of lifelong learning is the ability to engage in self-directed learning which requires openness to learning opportunities, good self-concept, taking initiative and illustrating independence in learning. Conscientiousness, an informed acceptance of a responsibility for one's own learning and creativity, is vital to one's future orientation towards goal-directed learning. Knowledge and understanding of one's own and students' selfdirected learning abilities are critical for nurse educators. In the nursing profession, it has been shown that self-directed learning by the nurse educators has a direct relationship towards the development of a lifelong learning approach by their students. Supporting students towards becoming self-directed learners throughout their professional life, in turn, will impact directly on the quality of nursing and midwifery practice. (Article to follow).

A bullet fired in dry water: an investigative activity to learn hydrodynamics concepts

NASA Astrophysics Data System (ADS)

Azevedo Leitão, Ulisses; dos Anjos Pinheiro da Silva, Antonio; Trindade do Nascimento, Natália Cristina; Mara Benedita da Cruz Gervásio, Lilian

2017-01-01

In this paper we report an investigative activity on hydrodynamics, in the context of an inquiry-based learning project. The aim is to analyse the experiment of a bullet shot underwater. Using Tracker, a video analysing and modelling software, the displacement of the bullet was measured as function of time, processing a slow motion video from YouTube. It was found that the displacement of the bullet is well described in the first 20 ms by the inviscid flow regime, where the Newtonian drag force overcomes the viscous drag. This behaviour is discussed in the context of what Richard Feynman’s famous Lectures on Physics describes as ‘The Flow of Dry Water’.

Big data bioinformatics.

PubMed

Greene, Casey S; Tan, Jie; Ung, Matthew; Moore, Jason H; Cheng, Chao

2014-12-01

Recent technological advances allow for high throughput profiling of biological systems in a cost-efficient manner. The low cost of data generation is leading us to the "big data" era. The availability of big data provides unprecedented opportunities but also raises new challenges for data mining and analysis. In this review, we introduce key concepts in the analysis of big data, including both "machine learning" algorithms as well as "unsupervised" and "supervised" examples of each. We note packages for the R programming language that are available to perform machine learning analyses. In addition to programming based solutions, we review webservers that allow users with limited or no programming background to perform these analyses on large data compendia. © 2014 Wiley Periodicals, Inc.

Analysis of students’ incorrect answers at triangle materials in the fifth-grade of primary school

NASA Astrophysics Data System (ADS)

Shintawati, E.; Jupri, Al

2018-05-01

This research aims to analyse the comparison of the predictions made by the author between learning methods with the reality that occur in the class and to analyse students' responses toward questions given by teachers at triangle materials. The method used in this research is the descriptive-qualitative method. The subjects of this research are all fifth-grade students from a primary school in the city of Bandung. The results of this research indicated that there are some influences between learning methods and students' responses shown by the way students answer the question. In reality, there are many students’ responses produced beyond the predictions of the author. It shows that as the good teachers, besides setting up learning methods, they should also make predictions toward the responses of the students in answering the questions given. The results of the predictions could be used as a lesson for teachers to run the learning processes as good as possible so the students' responses could being accordance with the concept of materials presented and could also achieve the expected learning goals. Based on this research’s results, as a teacher must have techniques and strategies to overcome things that are not expected during the learning so that learning can be conducive so that students can focus on learning and enjoy learning so that learning outcomes is the ability of students to increase in understanding the material and can construct the concept of material provided.

Embedding assessment in a simulation skills training program for medical and midwifery students: A pre- and post-intervention evaluation.

PubMed

Kumar, Arunaz; Nestel, Debra; East, Christine; Hay, Margaret; Lichtwark, Irene; McLelland, Gayle; Bentley, Deidre; Hall, Helen; Fernando, Shavi; Hobson, Sebastian; Larmour, Luke; Dekoninck, Philip; Wallace, Euan M

2018-02-01

Simulation-based programs are increasingly being used to teach obstetrics and gynaecology examinations, but it is difficult to establish student learning acquired through them. Assessment may test student learning but its role in learning itself is rarely recognised. We undertook this study to assess medical and midwifery student learning through a simulation program using a pre-test and post-test design and also to evaluate use of assessment as a method of learning. The interprofessional simulation education program consisted of a brief pre-reading document, a lecture, a video demonstration and a hands-on workshop. Over a 24-month period, 405 medical and 104 midwifery students participated in the study and were assessed before and after the program. Numerical data were analysed using paired t-test and one-way analysis of variance. Students' perceptions of the role of assessment in learning were qualitatively analysed. The post-test scores were significantly higher than the pre-test (P < 0.001) with improvements in scores in both medical and midwifery groups. Students described the benefit of assessment on learning in preparation of the assessment, reinforcement of learning occurring during assessment and reflection on performance cementing previous learning as a post-assessment effect. Both medical and midwifery students demonstrated a significant improvement in their test scores and for most students the examination process itself was a positive learning experience. © 2017 The Royal Australian and New Zealand College of Obstetricians and Gynaecologists.

Assessment of mid-term growth assumptions and learning rates for comparative studies of CSP and hybrid PV-battery power plants

NASA Astrophysics Data System (ADS)

Breyer, Christian; Afanasyeva, Svetlana; Brakemeier, Dietmar; Engelhard, Manfred; Giuliano, Stefano; Puppe, Michael; Schenk, Heiko; Hirsch, Tobias; Moser, Massimo

2017-06-01

The main objective of this research is to present a solid foundation of capex projections for the major solar energy technologies until the year 2030 for further analyses. The experience curve approach has been chosen for this capex assessment, which requires a good understanding of the projected total global installed capacities of the major solar energy technologies and the respective learning rates. A literature survey has been conducted for CSP tower, CSP trough, PV and Li-ion battery. Based on the literature survey a base case has been defined for all technologies and low growth and high growth cases for further sensitivity analyses. All results are shown in detail in the paper and a comparison to the expectation of a potentially major investor in all of these technologies confirmed the derived capex projections in this paper.

Didactical design based on sharing and jumping tasks for senior high school chemistry learning

NASA Astrophysics Data System (ADS)

Fatimah, I.; Hendayana, S.; Supriatna, A.

2018-05-01

The purpose of this research is to develop the didactical design of senior high school chemistry learning based on sharing and jumping tasks in shift equilibrium chemistry. Sharing tasks used to facilitate students slow learners with help by other students of fast learners so they engage in learning. While jumping tasks used to challenge fast learners students so they didn’t feel bored in learning. In developing the didactic design, teacher activity is not only to focus on students and learning materials but also on the relationship between students and learning materials. The results of the analysis teaching plan of shift equilibrium chemistry in attached Senior High School to Indonesia University of Education showed that the learning activities more focus on how the teacher teaches instead of how the process of students’ learning. The use of research method is didactical design research (DDR). Didactical design consisted of three steps i.e. (a) analysing didactical condition before learning, (b) analyzing metapedadidactical, and (c) analyzing retrospective. Data were collected by test, observations, interviews, documentation and recordings (audio and video).The result showed that the didactical design on shift equilibrium chemistry was valid.

The effectiveness of flipped classroom learning model in secondary physics classroom setting

NASA Astrophysics Data System (ADS)

Prasetyo, B. D.; Suprapto, N.; Pudyastomo, R. N.

2018-03-01

The research aimed to describe the effectiveness of flipped classroom learning model on secondary physics classroom setting during Fall semester of 2017. The research object was Secondary 3 Physics group of Singapore School Kelapa Gading. This research was initiated by giving a pre-test, followed by treatment setting of the flipped classroom learning model. By the end of the learning process, the pupils were given a post-test and questionnaire to figure out pupils' response to the flipped classroom learning model. Based on the data analysis, 89% of pupils had passed the minimum criteria of standardization. The increment level in the students' mark was analysed by normalized n-gain formula, obtaining a normalized n-gain score of 0.4 which fulfil medium category range. Obtains from the questionnaire distributed to the students that 93% of students become more motivated to study physics and 89% of students were very happy to carry on hands-on activity based on the flipped classroom learning model. Those three aspects were used to generate a conclusion that applying flipped classroom learning model in Secondary Physics Classroom setting is effectively applicable.

Errorless-based techniques can improve route finding in early Alzheimer's disease: a case study.

PubMed

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

2008-01-01

Topographical disorientation is a common and early manifestation of dementia of Alzheimer type, which threatens independence in activities of daily living. Errorless-based techniques appear to be effective in helping patients with amnesia to learn routes, but little is known about their effectiveness in early dementia of Alzheimer type. A 77-year-old woman with dementia of Alzheimer type had difficulty in finding her way around her seniors residence, which reduced her social activities. This study used an ABA design (A is the baseline and B is the intervention) with multiple baselines across routes for going to the rosary (target), laundry, and game rooms (controls). The errorless-based technique intervention was applied to 2 of the 3 routes. Analyses showed significant improvement only for the routes learned with errorless-based techniques. Following the study, the participant increased her topographical knowledge of her surroundings. Route learning interventions based on errorless-based techniques appear to be a promising approach for improving the independence in early dementia of Alzheimer type.

Mental Models about Seismic Effects: Students' Profile Based Comparative Analysis

ERIC Educational Resources Information Center

Moutinho, Sara; Moura, Rui; Vasconcelos, Clara

2016-01-01

Nowadays, meaningful learning takes a central role in science education and is based in mental models that allow the representation of the real world by individuals. Thus, it is essential to analyse the student's mental models by promoting an easier reconstruction of scientific knowledge, by allowing them to become consistent with the curricular…

Web-Based Mathematics Progress Monitoring in Second Grade

ERIC Educational Resources Information Center

Salaschek, Martin; Souvignier, Elmar

2014-01-01

We examined a web-based mathematics progress monitoring tool for second graders. The tool monitors the learning progress of two competences, number sense and computation. A total of 414 students from 19 classrooms in Germany were checked every 3 weeks from fall to spring. Correlational analyses indicate that alternate-form reliability was adequate…

A comparative study on first-time and experienced project-based learning students in an engineering design module

NASA Astrophysics Data System (ADS)

Chua, K. J.

2014-09-01

This study aims to compare and evaluate the learning ability and performance differences between two groups of students undergoing project-based learning (PjBL), with one group having prior PjBL experience, while the other group is being freshly exposed to PjBL. More specifically, it examines if there are significant differences in knowledge score, problem-solving ability, and eventual project-deliverable outcomes between the two sets of students. Performances were compared via qualitative and quantitative analyses. Key findings have indicated a significant increase in fundamental formative knowledge; enhanced problem-solving abilities; and production of better performing artefacts with regard to the set of design skills between experienced and first-time PjBL groups. This study also highlighted that experienced PjBL students have less conflicts within their groups, and are more receptive to PjBL compared to first-time PjBL students. Results from this study provide a starting point for educators to seek new learning/facilitating strategies that are relevant based on the experience and learning styles of students.

Process Mining Techniques for Analysing Patterns and Strategies in Students' Self-Regulated Learning

ERIC Educational Resources Information Center

Bannert, Maria; Reimann, Peter; Sonnenberg, Christoph

2014-01-01

Referring to current research on self-regulated learning, we analyse individual regulation in terms of a set of specific sequences of regulatory activities. Successful students perform regulatory activities such as analysing, planning, monitoring and evaluating cognitive and motivational aspects during learning not only with a higher frequency…

Influence of curriculum type on student performance in the United States Medical Licensing Examination Step 1 and Step 2 exams: problem-based learning vs. lecture-based curriculum.

PubMed

Enarson, C; Cariaga-Lo, L

2001-11-01

The results of the United States Medical Licensing Examination Step 1 and 2 examinations are reported for students enrolled in a problem-based and traditional lecture-based curricula over a seven-year period at a single institution. There were no statistically significant differences in mean scores on either examination over the seven year period as a whole. There were statistically significant main effects noted by cohort year and curricular track for both the Step 1 and 2 examinations. These results support the general, long-term effectiveness of problem-based learning with respect to basic and clinical science knowledge acquisition. This paper reports the United States Medical Licensing Examination Step 1 and Step 2 results for students enrolled in a problem-based and traditional lecture-based learning curricula over the seven-year period (1992-98) in order to evaluate the adequacy of each curriculum in supporting students learning of the basic and clinical sciences. Six hundred and eighty-nine students who took the United States Medical Licensing Examination Step 1 and 540 students who took Step 2 for the first time over the seven-year period were included in the analyses. T-test analyses were utilized to compare students' Step 1 and Step 2 performance by curriculum groups. United States Medical Licensing Examination Step 1 scores over the seven-year period were 214 for Traditional Curriculum students and 208 for Parallel Curriculum students (t-value = 1.32, P=0.21). Mean Step 2 scores over the seven-year period were 208 for Traditional Curriculum students and 206 for Parallel Curriculum students (t-value=1.08, P=0.30). Statistically significant main effects were noted by cohort year and curricular track for both the Step 1 and Step 2 examinations. The totality of experience in both groups, although differing by curricular type, may be similar enough that the comparable scores are what should be expected. These results should be reassuring to curricular planners and faculty that problem-based learning can provide students with the knowledge needed for the subsequent phases of their medical education.

Engaging students in learning: findings from a study of project-led education

NASA Astrophysics Data System (ADS)

Fernandes, Sandra; Mesquita, Diana; Assunção Flores, Maria; Lima, Rui M.

2014-01-01

This paper reports on findings from a three-year study of project-based learning implemented in the first year of the Industrial Engineering and Management programme, at the University of Minho, Portugal. This particular model was inspired on project-led education (PLE), following Powell and Weenk's [2003. Project-Led Engineering Education. Utrecht: Lemma] work. It aims to analyse students' perceptions of PLE as a learning device and its implications for faculty and students' role in teaching and learning. Data collection took place in two phases through individual surveys and focus groups to students. Findings suggest the importance of PLE as a device to enhance meaningful learning and provide evidence from students that it helps to increase their engagement in learning. Implications of PLE for faculty and students role in teaching and learning will be discussed in the paper.

Digital game based learning: A new method in teaching and learning mathematics

NASA Astrophysics Data System (ADS)

Hussain, Sayed Yusoff bin Syed; Hoe, Tan Wee; Idris, Muhammad Zaffwan bin

2017-05-01

Digital game-based learning (DGBL) had been regarded as a sound learning strategy in raising pupils' willingness and interest in many disciplines. Normally, video and digital games are used in the teaching and learning mathematics. based on literature, digital games have proven its capability in making pupils motivated and are more likely to contribute to effective learning mathematics. Hence this research aims to construct a DGBL in the teaching of Mathematics for Year 1 pupils. Then, a quasi-experimental study was carried out in a school located in Gua Musang, Kelantan, involving 39 pupils. Specifically, this article tests the effectiveness of the use of DGBL in the teaching of the topic Addition of Less than 100 on pupil's achievement. This research employed a quasi-experiment, Pre and Post Test of Non-equivalent Control Group design. The data were analysed using the Nonparametric test namely the Mann-Whitney U. The research finding shows the use of the DGBL could increase the pupils' achievement in the topic of Addition of Less than 100. In practice, this research indicates that the DBGL can utilized as an alternative reference strategy for Mathematics teacher.

Using reusable learning objects (RLOs) in wound care education: Undergraduate student nurse's evaluation of their learning gain.

PubMed

Redmond, Catherine; Davies, Carmel; Cornally, Deirdre; Adam, Ewa; Daly, Orla; Fegan, Marianne; O'Toole, Margaret

2018-01-01

Both nationally and internationally concerns have been expressed over the adequacy of preparation of undergraduate nurses for the clinical skill of wound care. This project describes the educational evaluation of a series of Reusable Learning Objects (RLOs) as a blended learning approach to facilitate undergraduate nursing students learning of wound care for competence development. Constructivism Learning Theory and Cognitive Theory of Multimedia Learning informed the design of the RLOs, promoting active learner approaches. Clinically based case studies and visual data from two large university teaching hospitals provided the authentic learning materials required. Interactive exercises and formative feedback were incorporated into the educational resource. Evaluation of student perceived learning gains in terms of knowledge, ability and attitudes were measured using a quantitative pre and posttest Wound Care Competency Outcomes Questionnaire. The RLO CETL Questionnaire was used to identify perceived learning enablers. Statistical and deductive thematic analyses inform the findings. Students (n=192) reported that their ability to meet the competency outcomes for wound care had increased significantly after engaging with the RLOs. Students rated the RLOs highly across all categories of perceived usefulness, impact, access and integration. These findings provide evidence that the use of RLOs for both knowledge-based and performance-based learning is effective. RLOs when designed using clinically real case scenarios reflect the true complexities of wound care and offer innovative interventions in nursing curricula. Copyright © 2017 Elsevier Ltd. All rights reserved.

[E-learning and problem based learning integration in cardiology education].

PubMed

Gürpinar, Erol; Zayim, Neşe; Başarici, Ibrahim; Gündüz, Filiz; Asar, Mevlüt; Oğuz, Nurettin

2009-06-01

The aim of this study was to determine students' satisfaction with an e-learning environment which is developed to support classical problem-based learning (PBL) in medical education and its effect on academic achievement. In this cross-sectional study, students were provided with a web-based learning environment including learning materials related to objectives of the subject of PBL module, which could be used during independent study period. The study group comprised of all of the second year students (164 students) of Akdeniz University, Medical Faculty, during 2007-2008 education period. In order to gather data about students' satisfaction with learning environment, a questionnaire was administered to the students. Comparison of students' academic achievement was based on their performance score in PBL exam. Statistical analyses were performed using unpaired t test and Mann Whitney U test. Findings indicated that 72.6% of the students used e-learning practice. There is no statistically significant difference between mean PBL performance scores of users and non-users of e-learning practice (103.58 vs. 100.88) (t=-0.998, p=0.320). It is found that frequent users of e-learning application had statistically significant higher scores than non-frequent users (106.28 vs. 100.59) (t=-2.373, p=0.01). In addition, 72.6% of the students declared they were satisfied with the application. Our study demonstrated that the most of the students use e-learning application and are satisfied with it. In addition, it is observed that e-learning application positively affects the academic achievement of the students. This study gains special importance by providing contribution to limited literature in the area of instructional technology in PBL and Cardiology teaching.

Analyzing the Behavioral Differences between Students of Different Genders, Prior Knowledge and Learning Performance with an Educational MMORPG: A Longitudinal Case Study in an Elementary School

ERIC Educational Resources Information Center

Hou, Huei-Tse

2013-01-01

Many researchers have studied the effects of game-based learning (GBL) (eg, Annetta, Minogu, Holmes & Cheng, 2009; Kiili, 2007). However, empirical process analyses of long-term applications of GBL in a school setting are much less common. A process analysis of GBL in a school setting allows us to better understand the role of games in…

Precursor model and preschool science learning about shadows formation

NASA Astrophysics Data System (ADS)

Delserieys, Alice; Jégou, Corinne; Boilevin, Jean-Marie; Ravanis, Konstantinos

2018-04-01

This work is based on the idea that young children benefit from early introduction of scientific concepts. Few researches describe didactical strategies focusing on physics understanding for young children and analyse their effectiveness in standard classroom environments.

Education-Community Partnerships: Who Uses Whom for What Purposes?

ERIC Educational Resources Information Center

Tyler, Jean B.; Haberman, Martin

2002-01-01

Examined education-community partnerships from the viewpoint of the community partners. Analyses based on three education-community partnerships, two successful and one failed, show the importance of understanding motivations and expectations. Describes lessons learned through such partnerships. (SLD)

Games as an educational resource in the teaching and learning of mathematics: an educational experiment in Portuguese middle schools

NASA Astrophysics Data System (ADS)

Campos, Helena; Moreira, Rute

2016-04-01

This article is based on an experiment using the game 'Caminhando e Calculando' (Moving and Calculating) in order to analyse the potential of the game as an educational resource for the teaching and learning of mathematics in Portuguese middle schools, where most students are 10 or 11 years old. Students' data obtained during the games will be used to analyse the different options used for solving the game, identifying its potential and its weaknesses. We start with a theoretical analysis of games as an inherent element of human culture. Combining our innate desire for fun with the different types of teaching and learning styles allows for fun and knowledge to be combined into more efficient and meaningful types of knowledge. Playing games are a primordial aspect of what it means to be a child and they develop within a motivating environment; therefore, not to take advantage of games as a learning resource would be to neglect an important asset. With regard to mathematics, emphasis will be given to the advantages that this teaching and learning tool provides for certain mathematical processes, such as problem-solving.

STEM-based science learning implementation to identify student’s personal intelligences profiles

NASA Astrophysics Data System (ADS)

Wiguna, B. J. P. K.; Suwarma, I. R.; Liliawati, W.

2018-05-01

Science and technology are rapidly developing needs to be balanced with the human resources that have the qualified ability. Not only cognitive ability, but also have the soft skills that support 21st century skills. Science, Technology, Engineering, and Mathematics (STEM) Education is a solution to improve the quality of learning and prepare students may be able to trained 21st century skills. This study aims to analyse the implementation of STEM-based science learning on Newton’s law of motion by identifying the personal intelligences profile junior high school students. The method used in this research is pre experiment with the design of the study one group pre-test post-test. Samples in this study were 26 junior high school students taken using Convenience Sampling. Students personal intelligences profile after learning STEM-based science uses two instruments, self-assessment and peer assessment. Intrapersonal intelligence profile based self-assessment and peer assessment are respectively 69.38; and 64.08. As for interpersonal intelligence for self-assessment instrument is 73 and the peer assessment is 60.23.

Implementation of Markerless Augmented Reality Technology Based on Android to Introduction Lontara in Marine Society

NASA Astrophysics Data System (ADS)

Jumarlis, Mila; Mirfan, Mirfan

2018-05-01

Local language learning had been leaving by people especially young people had affected technology advances so that involved lack of interest to learn culture especially local language. So required interactive and interest learning media for introduction Lontara. This research aims to design and implement augmented reality on introduction Lontara on mobile device especially android. Application of introduction Lontara based on Android was designed by Vuforia and Unity. Data collection method were observation, interview, and literature review. That data was analysed for being information. The system was designed by Unified Modeling Language (UML). The method used is a marker. The test result found that application of Augmented Reality on introduction Lontara based on Android could improve public interest for introducing local language particularly young people in learning about Lontara because of using technology. Application of introduction of Lontara based on Android used augmented reality occurred sound and how to write Lontara with animation. This application could be running without an internet connection, so that its used more efficient and could maximize from user.

Developing a multi-method approach to data collection and analysis for explaining the learning during simulation in undergraduate nurse education.

PubMed

Bland, Andrew J; Tobbell, Jane

2015-11-01

Simulation has become an established feature of undergraduate nurse education and as such requires extensive investigation. Research limited to pre-constructed categories imposed by some questionnaire and interview methods may only provide partial understanding. This is problematic in understanding the mechanisms of learning in simulation-based education as contemporary distributed theories of learning posit that learning can be understood as the interaction of individual identity with context. This paper details a method of data collection and analysis that captures interaction of individuals within the simulation experience which can be analysed through multiple lenses, including context and through the lens of both researcher and learner. The study utilised a grounded theory approach involving 31 under-graduate third year student nurses. Data was collected and analysed through non-participant observation, digital recordings of simulation activity and focus group deconstruction of their recorded simulation by the participants and researcher. Focus group interviews enabled further clarification. The method revealed multiple levels of dynamic data, concluding that in order to better understand how students learn in social and active learning strategies, dynamic data is required enabling researchers and participants to unpack what is happening as it unfolds in action. Copyright © 2015 Elsevier Ltd. All rights reserved.

Effectiveness of Jigsaw learning compared to lecture-based learning in dental education.

PubMed

Sagsoz, O; Karatas, O; Turel, V; Yildiz, M; Kaya, E

2017-02-01

The objective of this study was to evaluate the success levels of students using the Jigsaw learning method in dental education. Fifty students with similar grade point average (GPA) scores were selected and randomly assigned into one of two groups (n = 25). A pretest concerning 'adhesion and bonding agents in dentistry' was administered to all students before classes. The Jigsaw learning method was applied to the experimental group for 3 weeks. At the same time, the control group was taking classes using the lecture-based learning method. At the end of the 3 weeks, all students were retested (post-test) on the subject. A retention test was administered 3 weeks after the post-test. Mean scores were calculated for each test for the experimental and control groups, and the data obtained were analysed using the independent samples t-test. No significant difference was determined between the Jigsaw and lecture-based methods at pretest or post-test. The highest mean test score was observed in the post-test with the Jigsaw method. In the retention test, success with the Jigsaw method was significantly higher than that with the lecture-based method. The Jigsaw method is as effective as the lecture-based method. © 2015 John Wiley & Sons A/S. Published by John Wiley & Sons Ltd.

The enhancement of mathematical analogical reasoning ability of university students through concept attainment model

NASA Astrophysics Data System (ADS)

Angraini, L. M.; Kusumah, Y. S.; Dahlan, J. A.

2018-05-01

This study aims to see the enhancement of mathematical analogical reasoning ability of the university students through concept attainment model learning based on overall and Prior Mathematical Knowledge (PMK) and interaction of both. Quasi experiments with the design of this experimental-controlled equivalent group involved 54 of second semester students at the one of State Islamic University. The instrument used is pretest-postest. Kolmogorov-Smirnov test, Levene test, t test, two-way ANOVA test were used to analyse the data. The result of this study includes: (1) The enhancement of the mathematical analogical reasoning ability of the students who gets the learning of concept attainment model is better than the enhancement of the mathematical analogical reasoning ability of the students who gets the conventional learning as a whole and based on PMK; (2) There is no interaction between the learning that is used and PMK on enhancing mathematical analogical reasoning ability.

Synchrony and motor mimicking in chimpanzee observational learning

PubMed Central

Fuhrmann, Delia; Ravignani, Andrea; Marshall-Pescini, Sarah; Whiten, Andrew

2014-01-01

Cumulative tool-based culture underwrote our species' evolutionary success, and tool-based nut-cracking is one of the strongest candidates for cultural transmission in our closest relatives, chimpanzees. However the social learning processes that may explain both the similarities and differences between the species remain unclear. A previous study of nut-cracking by initially naïve chimpanzees suggested that a learning chimpanzee holding no hammer nevertheless replicated hammering actions it witnessed. This observation has potentially important implications for the nature of the social learning processes and underlying motor coding involved. In the present study, model and observer actions were quantified frame-by-frame and analysed with stringent statistical methods, demonstrating synchrony between the observer's and model's movements, cross-correlation of these movements above chance level and a unidirectional transmission process from model to observer. These results provide the first quantitative evidence for motor mimicking underlain by motor coding in apes, with implications for mirror neuron function. PMID:24923651

Synchrony and motor mimicking in chimpanzee observational learning.

PubMed

Fuhrmann, Delia; Ravignani, Andrea; Marshall-Pescini, Sarah; Whiten, Andrew

2014-06-13

Cumulative tool-based culture underwrote our species' evolutionary success, and tool-based nut-cracking is one of the strongest candidates for cultural transmission in our closest relatives, chimpanzees. However the social learning processes that may explain both the similarities and differences between the species remain unclear. A previous study of nut-cracking by initially naïve chimpanzees suggested that a learning chimpanzee holding no hammer nevertheless replicated hammering actions it witnessed. This observation has potentially important implications for the nature of the social learning processes and underlying motor coding involved. In the present study, model and observer actions were quantified frame-by-frame and analysed with stringent statistical methods, demonstrating synchrony between the observer's and model's movements, cross-correlation of these movements above chance level and a unidirectional transmission process from model to observer. These results provide the first quantitative evidence for motor mimicking underlain by motor coding in apes, with implications for mirror neuron function.

'Ain't nothin' like the real thing'. Motivation and study processes on a work-based project course in information systems design.

PubMed

Helle, Laura; Tynjälä, Päivi; Olkinuora, Erkki; Lonka, Kirsti

2007-06-01

Advocates of the project method claim that project-based learning inspires student learning. However, it has been claimed that project-based learning environments demand quite a bit of self-regulation on the part of the learner. Consequently, it was tested whether students scoring low in self-regulation of learning experienced 'friction', an incompatibility between student self-regulation and the demands posed by the learning environment. This would be manifest in cognitive processing and motivation. The target group consisted of 58 mainly third-year Finnish university students taking a mandatory project course in information systems design. During the project course, student teams completed a commissioned assignment. The study also included a matched nonequivalent comparison group composed of computer science students attending study programmes without a project-based component. Data were gathered by means of a questionnaire administered at the beginning and end of the project course and it was analysed by between-groups repeated measures ANOVA. In addition, the students on the course were interviewed. Results suggest that the work-based project model in question may indeed have a substantial motivational impact, interestingly benefitting especially those students who scored low in self-regulation. It is argued that we tend to view learning environments too simplistically. In particular, a basic distinction should be made between individual and collaborative learning contexts, since peer scaffolding, group grading and choice of group roles may explain why students scoring low in self-regulation of learning did not encounter friction as expected.

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.

Registered nurses' thoughts on blended learning in a postgraduate course in cancer care--content analyses of web surveys and a focus group interview.

PubMed

Arving, Cecilia; Wadensten, Barbro; Johansson, Birgitta

2014-06-01

Purpose of the research was to describe registered nurses' (RNs) (n = 53) thoughts on the blended learning format in a 'specialist nursing programme in cancer care'. The study was conducted in autumn 2007 and 2008. A content analysis of answers to open-ended questions in a web-based questionnaire and a focus group interview were carried out. The analysis revealed that the RNs appreciated blended learning. The web lectures facilitated learning and gave RNs access to the education at any time. However, according to the RNs, knowledge is gained through interaction between RNs and teachers, and this aspect needed to be improved. The RNs also thought that the content of the seminars on campus should focus on evidence-based nursing knowledge and practical skills, not just taught as stable facts and procedures. The result from the present study could help to improve the design and content of advanced nursing courses using a blended learning format.

Nurses' perceptions of the impact of Team-Based Learning participation on learning style, team behaviours and clinical performance: An exploration of written reflections.

PubMed

Oldland, Elizabeth; Currey, Judy; Considine, Julie; Allen, Josh

2017-05-01

Team-Based Learning (TBL) is a teaching strategy designed to promote problem solving, critical thinking and effective teamwork and communication skills; attributes essential for safe healthcare. The aim was to explore postgraduate student perceptions of the role of TBL in shaping learning style, team skills, and professional and clinical behaviours. An exploratory descriptive approach was selected. Critical care students were invited to provide consent for the use for research purposes of written reflections submitted for course work requirements. Reflections of whether and how TBL influenced their learning style, teamwork skills and professional behaviours during classroom learning and clinical practice were analysed for content and themes. Of 174 students, 159 participated. Analysis revealed three themes: Deep Learning, the adaptations students made to their learning that resulted in mastery of specialist knowledge; Confidence, in knowledge, problem solving and rationales for practice decisions; and Professional and Clinical Behaviours, including positive changes in their interactions with colleagues and patients described as patient advocacy, multidisciplinary communication skills and peer mentorship. TBL facilitated a virtuous cycle of feedback encouraging deep learning that increased confidence. Increased confidence improved deep learning that, in turn, led to the development of professional and clinical behaviours characteristic of high quality practice. Copyright © 2017 Elsevier Ltd. All rights reserved.

Assessment of various supervised learning algorithms using different performance metrics

NASA Astrophysics Data System (ADS)

Susheel Kumar, S. M.; Laxkar, Deepak; Adhikari, Sourav; Vijayarajan, V.

2017-11-01

Our work brings out comparison based on the performance of supervised machine learning algorithms on a binary classification task. The supervised machine learning algorithms which are taken into consideration in the following work are namely Support Vector Machine(SVM), Decision Tree(DT), K Nearest Neighbour (KNN), Naïve Bayes(NB) and Random Forest(RF). This paper mostly focuses on comparing the performance of above mentioned algorithms on one binary classification task by analysing the Metrics such as Accuracy, F-Measure, G-Measure, Precision, Misclassification Rate, False Positive Rate, True Positive Rate, Specificity, Prevalence.

Comparing self-guided learning and educator-guided learning formats for simulation-based clinical training.

PubMed

Brydges, Ryan; Carnahan, Heather; Rose, Don; Dubrowski, Adam

2010-08-01

In this paper, we tested the over-arching hypothesis that progressive self-guided learning offers equivalent learning benefit vs. proficiency-based training while limiting the need to set proficiency standards. We have shown that self-guided learning is enhanced when students learn on simulators that progressively increase in fidelity during practice. Proficiency-based training, a current gold-standard training approach, requires achievement of a criterion score before students advance to the next learning level. Baccalaureate nursing students (n = 15/group) practised intravenous catheterization using simulators that differed in fidelity (i.e. students' perceived realism). Data were collected in 2008. Proficiency-based students advanced from low- to mid- to high-fidelity after achieving a proficiency criterion at each level. Progressive students self-guided their progression from low- to mid- to high-fidelity. Yoked control students followed an experimenter-defined progressive practice schedule. Open-ended students moved freely between the simulators. One week after practice, blinded experts evaluated students' skill transfer on a standardized patient simulation. Group differences were examined using analyses of variance. Proficiency-based students scored highest on the high-fidelity post-test (effect size = 1.22). An interaction effect showed that the Progressive and Open-ended groups maintained their performance from post-test to transfer test, whereas the Proficiency-based and Yoked control groups experienced a significant decrease (P < 0.05). Surprisingly, most Open-ended students (73%) chose the progressive practice schedule. Progressive training and proficiency-based training resulted in equivalent transfer test performance, suggesting that progressive students effectively self-guided when to transition between simulators. Students' preference for the progressive practice schedule indicates that educators should consider this sequence for simulation-based training.

Analysing Learning Outcomes in an Electrical Engineering Curriculum Using Illustrative Verbs Derived from Bloom's Taxonomy

ERIC Educational Resources Information Center

Meda, Lawrence; Swart, Arthur James

2018-01-01

Learning outcomes are essential to any curriculum in education, where they need to be clear, observable and measurable. However, some academics structure learning outcomes in a way that does not promote student learning. The purpose of this article is to present the analyses of learning outcomes of an Electrical Engineering curriculum offered at a…

Analysing the Correlation between Social Network Analysis Measures and Performance of Students in Social Network-Based Engineering Education

ERIC Educational Resources Information Center

Putnik, Goran; Costa, Eric; Alves, Cátia; Castro, Hélio; Varela, Leonilde; Shah, Vaibhav

2016-01-01

Social network-based engineering education (SNEE) is designed and implemented as a model of Education 3.0 paradigm. SNEE represents a new learning methodology, which is based on the concept of social networks and represents an extended model of project-led education. The concept of social networks was applied in the real-life experiment,…

Effects of personality traits on collaborative performance in problem-based learning tutorials

PubMed Central

Jang, Hye Won; Park, Seung Won

2016-01-01

Objectives To examine the relationship between students’ collaborative performance in a problem-based learning (PBL) environment and their personality traits. Methods This retrospective, cross-sectional study was conducted using student data of a PBL program between 2013 and 2014 at Sungkyunkwan University School of Medicine, Seoul, South Korea. Eighty students were included in the study. Student data from the Temperament and Character Inventory were used as a measure of their personality traits. Peer evaluation scores during PBL were used as a measure of students’ collaborative performance. Results Simple regression analyses indicated that participation was negatively related to harm avoidance and positively related to persistence, whereas preparedness for the group work was negatively related to reward dependence. On multiple regression analyses, low reward dependence remained a significant predictor of preparedness. Grade-point average (GPA) was negatively associated with novelty seeking and cooperativeness and was positively associated with persistence. Conclusion Medical students who are less dependent on social reward are more likely to complete assigned independent work to prepare for the PBL tutorials. The findings of this study can help educators better understand and support medical students who are at risk of struggling in collaborative learning environments. PMID:27874153

Effects of personality traits on collaborative performance in problem-based learning tutorials.

PubMed

Jang, Hye Won; Park, Seung Won

2016-12-01

To examine the relationship between students' collaborative performance in a problem-based learning (PBL) environment and their personality traits. Methods:This retrospective, cross-sectional study was conducted using student data of a PBL program between 2013 and 2014 at Sungkyunkwan University School of Medicine, Seoul, South Korea. Eighty students were included in the study. Student data from the Temperament and Character Inventory were used as a measure of their personality traits. Peer evaluation scores during PBL were used as a measure of students' collaborative performance. Results: Simple regression analyses indicated that participation was negatively related to harm avoidance and positively related to persistence, whereas preparedness for the group work was negatively related to reward dependence. On multiple regression analyses, low reward dependence remained a significant predictor of preparedness. Grade-point average (GPA)  was negatively associated with novelty seeking and cooperativeness and was positively associated with persistence.  Conclusion: Medical students who are less dependent on social reward are more likely to complete assigned independent work to prepare for the PBL tutorials. The findings of this study can help educators better understand and support medical students who are at risk of struggling in collaborative learning environments.

Development of Analytical Competencies and Professional Identities through School-Based Learning in Denmark

ERIC Educational Resources Information Center

Andresen, Bent B.

2015-01-01

This article presents the main results of a case study on teachers' professional development in terms of competence and identity. The teachers involved in the study are allocated time by their schools to participate in professional "affinity group" meetings. During these meetings, the teachers gather and analyse school-based data about…

Changing Pedagogical Practice in Kenyan Primary Schools: The Impact of School-Based Training

ERIC Educational Resources Information Center

Hardman, Frank; Abd-Kadir, Jan; Agg, Catherine; Migwi, James; Ndambuku, Jacinta; Smith, Fay

2009-01-01

This study reports on an investigation into the impact of a national, school-based teacher development programme on learning and teaching in Kenyan primary schools. Building on a national baseline study (n=102), 144 video-recorded lessons, covering the teaching of English, maths and science at Standards 3 and 6, were analysed to investigate…

Understanding Disabled Childhoods: What Can We Learn from Population-Based Studies?

ERIC Educational Resources Information Center

Emerson, Eric

2012-01-01

This article illustrates the potential value of undertaking secondary analyses of large-scale population-based survey data to better inform our understanding of disabled childhoods. It is argued that while such approaches can never address the lived experience of growing up with disability, they can provide valuable insights into the ways in which…

Evaluating the Potential of Teacher-Designed Technology-Based Tasks for Meaningful Learning: Identifying Needs for Professional Development

ERIC Educational Resources Information Center

George, Ann; Sanders, Martie

2017-01-01

With technology increasingly being introduced into classrooms worldwide, stakeholders are asking whether ICT provides educational value. It is not simply having access to technology but how teachers use it that will determine its worth to education. Thirty-three teacher-designed technology-based tasks from eight subject areas were analysed for…

Work-Based Researchers and Communities of Practice: Conceptual and Gestational Dilemmas

ERIC Educational Resources Information Center

Sense, Andrew

2015-01-01

Drawing on a presumption that a Community of Practice (COP) can add significant value to the situated learning development of adults in any context, this paper exposes and analyses the challenges faced in facilitating the development of a COP involving part-time work-based researchers. Using an empirical case example involving a collaborative…

Learning climate and feedback as predictors of dental students' self-determined motivation: The mediating role of basic psychological needs satisfaction.

PubMed

Orsini, C; Binnie, V; Wilson, S; Villegas, M J

2018-05-01

The aim of this study was to test the mediating role of the satisfaction of dental students' basic psychological needs of autonomy, competence and relatedness on the association between learning climate, feedback and student motivation. The latter was based on the self-determination theory's concepts of differentiation of autonomous motivation, controlled motivation and amotivation. A cross-sectional correlational study was conducted where 924 students completed self-reported questionnaires measuring motivation, perception of the learning climate, feedback and basic psychological needs satisfaction. Descriptive statistics, Cronbach's alpha scores and bivariate correlations were computed. Mediation of basic needs on each predictor-outcome association was tested based on a series of regression analyses. Finally, all variables were integrated into one structural equation model, controlling for the effects of age, gender and year of study. Cronbach's alpha scores were acceptable (.655 to .905). Correlation analyses showed positive and significant associations between both an autonomy-supportive learning climate and the quantity and quality of feedback received, and students' autonomous motivation, which decreased and became negative when correlated with controlled motivation and amotivation, respectively. Regression analyses revealed that these associations were indirect and mediated by how these predictors satisfied students' basic psychological needs. These results were corroborated by the structural equation analysis, in which data fit the model well and regression paths were in the expected direction. An autonomy-supportive learning climate and the quantity and quality of feedback were positive predictors of students' autonomous motivation and negative predictors of amotivation. However, this was an indirect association mediated by the satisfaction of students' basic psychological needs. Consequently, supporting students' needs of autonomy, competence and relatedness might lead to optimal types of motivation, which has an important influence on dental education. © 2017 John Wiley & Sons A/S. Published by John Wiley & Sons Ltd.

Using computer-assisted learning to engage diverse learning styles in understanding business management principles.

PubMed

Frost, Mary E; Derby, Dustin C; Haan, Andrea G

2013-01-01

Objective : Changes in small business and insurance present challenges for newly graduated chiropractors. Technology that reaches identified, diverse learning styles may assist the chiropractic student in business classes to meet course outcomes better. Thus, the purpose of our study is to determine if the use of technology-based instructional aids enhance students' mastery of course learning outcomes. Methods : Using convenience sampling, 86 students completed a survey assessing course learning outcomes, learning style, and the helpfulness of lecture and computer-assisted learning related to content mastery. Quantitative analyses occurred. Results : Although respondents reported not finding the computer-assisted learning as helpful as the lecture, significant relationships were found between pre- and post-assisted learning measures of the learning outcomes 1 and 2 for the visual and kinesthetic groups. Surprisingly, however, all learning style groups exhibited significant pre- and post-assisted learning appraisal relationships with learning outcomes 3 and 4. Conclusion : While evidence exists within the current study of a relationship between students' learning of the course content corollary to the use of technologic instructional aids, the exact nature of the relationship remains unclear.

Using computer-assisted learning to engage diverse learning styles in understanding business management principles.

PubMed

Frost, Mary E; Derby, Dustin C; Haan, Andrea G

2013-06-27

Objective : Changes in small business and insurance present challenges for newly graduated chiropractors. Technology that reaches identified, diverse learning styles may assist the chiropractic student in business classes to meet course outcomes better. Thus, the purpose of our study is to determine if the use of technology-based instructional aids enhance students' mastery of course learning outcomes. Methods : Using convenience sampling, 86 students completed a survey assessing course learning outcomes, learning style, and the helpfulness of lecture and computer-assisted learning related to content mastery. Quantitative analyses occurred. Results : Although respondents reported not finding the computer-assisted learning as helpful as the lecture, significant relationships were found between pre- and post-assisted learning measures of the learning outcomes 1 and 2 for the visual and kinesthetic groups. Surprisingly, however, all learning style groups exhibited significant pre- and post-assisted learning appraisal relationships with learning outcomes 3 and 4. Conclusion : While evidence exists within the current study of a relationship between students' learning of the course content corollary to the use of technologic instructional aids, the exact nature of the relationship remains unclear.

Fixed Point Learning Based Intelligent Traffic Control System

NASA Astrophysics Data System (ADS)

Zongyao, Wang; Cong, Sui; Cheng, Shao

2017-10-01

Fixed point learning has become an important tool to analyse large scale distributed system such as urban traffic network. This paper presents a fixed point learning based intelligence traffic network control system. The system applies convergence property of fixed point theorem to optimize the traffic flow density. The intelligence traffic control system achieves maximum road resources usage by averaging traffic flow density among the traffic network. The intelligence traffic network control system is built based on decentralized structure and intelligence cooperation. No central control is needed to manage the system. The proposed system is simple, effective and feasible for practical use. The performance of the system is tested via theoretical proof and simulations. The results demonstrate that the system can effectively solve the traffic congestion problem and increase the vehicles average speed. It also proves that the system is flexible, reliable and feasible for practical use.

Social problem-solving in Chinese baccalaureate nursing students.

PubMed

Fang, Jinbo; Luo, Ying; Li, Yanhua; Huang, Wenxia

2016-11-01

To describe social problem solving in Chinese baccalaureate nursing students. A descriptive cross-sectional study was conducted with a cluster sample of 681 Chinese baccalaureate nursing students. The Chinese version of the Social Problem-Solving scale was used. Descriptive analyses, independent t-test and one-way analysis of variance were applied to analyze the data. The final year nursing students presented the highest scores of positive social problem-solving skills. Students with experiences of self-directed and problem-based learning presented significantly higher scores in Positive Problem Orientation subscale. The group with Critical thinking training experience, however, displayed higher negative problem solving scores compared with nonexperience group. Social problem solving abilities varied based upon teaching-learning strategies. Self-directed and problem-based learning may be recommended as effective way to improve social problem-solving ability. © 2016 Chinese Cochrane Center, West China Hospital of Sichuan University and John Wiley & Sons Australia, Ltd.

Undergraduate interprofessional education using high-fidelity paediatric simulation.

PubMed

Stewart, Moira; Kennedy, Neil; Cuene-Grandidier, Hazel

2010-06-01

High-fidelity simulation is becoming increasingly important in the delivery of teaching and learning to health care professionals within a safe environment. Its use in an interprofessional context and at undergraduate level has the potential to facilitate the learning of good communication and teamworking, in addition to clinical knowledge and skills. Interprofessional teaching and learning workshops using high-fidelity paediatric simulation were developed and delivered to undergraduate medical and nursing students at Queen's University Belfast. Learning outcomes common to both professions, and essential in the clinical management of sick children, included basic competencies, communication and teamworking skills. Quantitative and qualitative evaluation was undertaken using published questionnaires. Quantitative results - the 32-item questionnaire was analysed for reliability using spss. Responses were positive for both groups of students across four domains - acquisition of knowledge and skills, communication and teamworking, professional identity and role awareness, and attitudes to shared learning. Qualitative results - thematic content analysis was used to analyse open-ended responses. Students from both groups commented that an interprofessional education (IPE) approach to paediatric simulation improved clinical and practice-based skills, and provided a safe learning environment. Students commented that there should be more interprofessional and simulation learning opportunities. High-fidelity paediatric simulation, used in an interprofessional context, has the potential to meet the requirements of undergraduate medical and nursing curricula. Further research is needed into the long-term benefits for patient care, and its generalisability to other areas within health care teaching and learning. © Blackwell Publishing Ltd 2010.

Effects of teacher autonomy support and students' autonomous motivation on learning in physical education.

PubMed

Shen, Bo; McCaughtry, Nate; Martin, Jeffrey; Fahlman, Mariane

2009-03-01

This study applied self-determination theory to investigate the effects of students' autonomous motivation and their perceptions of teacher autonomy support on need satisfaction adjustment, learning achievement, and cardiorespiratory fitness over a 4-month personal conditioning unit. Participants were 253 urban adolescents (121 girls and 132 boys, ages = 12-14 years). Based on a series of multiple regression analyses, perceived autonomy support by teachers significantly predicted students'need satisfaction adjustment and led to learning achievement, especially for students who were not autonomously motivated to learn in physical education. In turn, being more autonomous was directly associated with cardiorespiratory fitness enhancement. The findings suggest that shifts in teaching approaches toward providing more support for students' autonomy and active involvement hold promise for enhancing learning.

Content-Based VLE Designs Improve Learning Efficiency in Constructivist Statistics Education

PubMed Central

Wessa, Patrick; De Rycker, Antoon; Holliday, Ian Edward

2011-01-01

Background We introduced a series of computer-supported workshops in our undergraduate statistics courses, in the hope that it would help students to gain a deeper understanding of statistical concepts. This raised questions about the appropriate design of the Virtual Learning Environment (VLE) in which such an approach had to be implemented. Therefore, we investigated two competing software design models for VLEs. In the first system, all learning features were a function of the classical VLE. The second system was designed from the perspective that learning features should be a function of the course's core content (statistical analyses), which required us to develop a specific–purpose Statistical Learning Environment (SLE) based on Reproducible Computing and newly developed Peer Review (PR) technology. Objectives The main research question is whether the second VLE design improved learning efficiency as compared to the standard type of VLE design that is commonly used in education. As a secondary objective we provide empirical evidence about the usefulness of PR as a constructivist learning activity which supports non-rote learning. Finally, this paper illustrates that it is possible to introduce a constructivist learning approach in large student populations, based on adequately designed educational technology, without subsuming educational content to technological convenience. Methods Both VLE systems were tested within a two-year quasi-experiment based on a Reliable Nonequivalent Group Design. This approach allowed us to draw valid conclusions about the treatment effect of the changed VLE design, even though the systems were implemented in successive years. The methodological aspects about the experiment's internal validity are explained extensively. Results The effect of the design change is shown to have substantially increased the efficiency of constructivist, computer-assisted learning activities for all cohorts of the student population under investigation. The findings demonstrate that a content–based design outperforms the traditional VLE–based design. PMID:21998652

A Surprising Effect of Feedback on Learning

ERIC Educational Resources Information Center

Vollmeyer, Regina; Rheinberg, Falko

2005-01-01

As meta-analyses demonstrate feedback effects on performance, our study examined possible mediators. Based on our cognitive-motivational model [Vollmeyer, R., & Rheinberg, F. (1998). Motivationale Einflusse auf Erwerb und Anwendung von Wissen in einem computersimulierten System [Motivational influences on the acquisition and application of…

Improved neutron-gamma discrimination for a 3He neutron detector using subspace learning methods

DOE PAGES

Wang, C. L.; Funk, L. L.; Riedel, R. A.; ...

2017-02-10

3He gas based neutron linear-position-sensitive detectors (LPSDs) have been applied for many neutron scattering instruments. Traditional Pulse-Height Analysis (PHA) for Neutron-Gamma Discrimination (NGD) resulted in the neutron-gamma efficiency ratio on the orders of 10 5-10 6. The NGD ratios of 3He detectors need to be improved for even better scientific results from neutron scattering. Digital Signal Processing (DSP) analyses of waveforms were proposed for obtaining better NGD ratios, based on features extracted from rise-time, pulse amplitude, charge integration, a simplified Wiener filter, and the cross-correlation between individual and template waveforms of neutron and gamma events. Fisher linear discriminant analysis (FLDA)more » and three multivariate analyses (MVAs) of the features were performed. The NGD ratios are improved by about 10 2-10 3 times compared with the traditional PHA method. Finally, our results indicate the NGD capabilities of 3He tube detectors can be significantly improved with subspace-learning based methods, which may result in a reduced data-collection time and better data quality for further data reduction.« less

Comparing alternate learning pathways within a problem-based learning speech-language pathology curriculum.

PubMed

Erickson, Shane; Serry, Tanya Anne

2016-02-01

This qualitative study investigated the learning process for speech-language pathology (SLP) students engaging in a problem-based learning (PBL) curriculum and compared the perspectives of students from two pathways. Sixteen final-year SLP students participated in one of four focus groups. Half the participants entered the course directly via an undergraduate pathway and the other half entered via a graduate entry pathway. Each focus group comprised two students from each pathway. Data were generated via a semi-structured interview and analysed thematically. Regardless of participants' pathway, many similar themes about factors that influenced their expectations prior to PBL commencing as well as their actual PBL experiences were raised. Participants believed that PBL was a productive way to learn and to develop clinical competencies. Many were critical of variations in PBL facilitation styles and were sensitive to changes in facilitators. The majority of participants viewed experiential opportunities to engage in PBL prior to commencement of semester as advantageous. Combining students with different backgrounds has many advantages to the PBL learning process. Regardless of prior experiences, all students must be sufficiently prepared. Furthermore, the facilitator has a crucial role with the potential to optimise or detract from the learning experience.

Motives and activities for continuing professional development: An exploration of their relationships by integrating literature and interview data.

PubMed

Pool, Inge A; Poell, Rob F; Berings, Marjolein G M C; Ten Cate, Olle

2016-03-01

To effectively enhance professional development, it is important to understand the motivational factors behind nurses' engagement in particular types of learning activities. Nurses have various motives for professional development and utilise different learning activities. Not much is known about how these relate. The aim of this study was to explore the relationship between nurses' motives and activities for continuing professional development, by examining in which types of learning activities nurses engage, with which motives, and whether certain motives are associated with certain learning activities. A qualitative study using semi-structured interviews. Twenty-one nurses in academic and general Dutch hospitals participated. Interview data on nurses' learning biographies were analysed using a literature-based framework on motives and learning activities for continuing professional development. As recent classifications of nurses' motives for professional development were absent, the literature was reviewed for motives, using three databases. The interview transcripts were analysed for motives, learning activities and their relationships. Nine motives and four categories of learning activities for continuing professional development were delineated. Increasing competence was the primary motive that stimulated nurses to engage in self-directed learning during work, and in formal learning activities. To comply with requirements, they engaged in mandatory courses. To deepen knowledge, they registered for conferences. To develop their careers, they enrolled in postgraduate education. Five other motives were not mentioned as frequently. Specific motives were found to be related to engagement in particular learning activities. Nurses could use these findings to increase their awareness of why and how they develop professionally, and managers and human resource development professionals could develop approaches that would better suit nurses' needs. Copyright © 2016 Elsevier Ltd. All rights reserved.

Active learning increases student performance in science, engineering, and mathematics.

PubMed

Freeman, Scott; Eddy, Sarah L; McDonough, Miles; Smith, Michelle K; Okoroafor, Nnadozie; Jordt, Hannah; Wenderoth, Mary Pat

2014-06-10

To test the hypothesis that lecturing maximizes learning and course performance, we metaanalyzed 225 studies that reported data on examination scores or failure rates when comparing student performance in undergraduate science, technology, engineering, and mathematics (STEM) courses under traditional lecturing versus active learning. The effect sizes indicate that on average, student performance on examinations and concept inventories increased by 0.47 SDs under active learning (n = 158 studies), and that the odds ratio for failing was 1.95 under traditional lecturing (n = 67 studies). These results indicate that average examination scores improved by about 6% in active learning sections, and that students in classes with traditional lecturing were 1.5 times more likely to fail than were students in classes with active learning. Heterogeneity analyses indicated that both results hold across the STEM disciplines, that active learning increases scores on concept inventories more than on course examinations, and that active learning appears effective across all class sizes--although the greatest effects are in small (n ≤ 50) classes. Trim and fill analyses and fail-safe n calculations suggest that the results are not due to publication bias. The results also appear robust to variation in the methodological rigor of the included studies, based on the quality of controls over student quality and instructor identity. This is the largest and most comprehensive metaanalysis of undergraduate STEM education published to date. The results raise questions about the continued use of traditional lecturing as a control in research studies, and support active learning as the preferred, empirically validated teaching practice in regular classrooms.

Active learning increases student performance in science, engineering, and mathematics

PubMed Central

Freeman, Scott; Eddy, Sarah L.; McDonough, Miles; Smith, Michelle K.; Okoroafor, Nnadozie; Jordt, Hannah; Wenderoth, Mary Pat

2014-01-01

To test the hypothesis that lecturing maximizes learning and course performance, we metaanalyzed 225 studies that reported data on examination scores or failure rates when comparing student performance in undergraduate science, technology, engineering, and mathematics (STEM) courses under traditional lecturing versus active learning. The effect sizes indicate that on average, student performance on examinations and concept inventories increased by 0.47 SDs under active learning (n = 158 studies), and that the odds ratio for failing was 1.95 under traditional lecturing (n = 67 studies). These results indicate that average examination scores improved by about 6% in active learning sections, and that students in classes with traditional lecturing were 1.5 times more likely to fail than were students in classes with active learning. Heterogeneity analyses indicated that both results hold across the STEM disciplines, that active learning increases scores on concept inventories more than on course examinations, and that active learning appears effective across all class sizes—although the greatest effects are in small (n ≤ 50) classes. Trim and fill analyses and fail-safe n calculations suggest that the results are not due to publication bias. The results also appear robust to variation in the methodological rigor of the included studies, based on the quality of controls over student quality and instructor identity. This is the largest and most comprehensive metaanalysis of undergraduate STEM education published to date. The results raise questions about the continued use of traditional lecturing as a control in research studies, and support active learning as the preferred, empirically validated teaching practice in regular classrooms. PMID:24821756

Dynamic updating of hippocampal object representations reflects new conceptual knowledge

PubMed Central

Mack, Michael L.; Love, Bradley C.; Preston, Alison R.

2016-01-01

Concepts organize the relationship among individual stimuli or events by highlighting shared features. Often, new goals require updating conceptual knowledge to reflect relationships based on different goal-relevant features. Here, our aim is to determine how hippocampal (HPC) object representations are organized and updated to reflect changing conceptual knowledge. Participants learned two classification tasks in which successful learning required attention to different stimulus features, thus providing a means to index how representations of individual stimuli are reorganized according to changing task goals. We used a computational learning model to capture how people attended to goal-relevant features and organized object representations based on those features during learning. Using representational similarity analyses of functional magnetic resonance imaging data, we demonstrate that neural representations in left anterior HPC correspond with model predictions of concept organization. Moreover, we show that during early learning, when concept updating is most consequential, HPC is functionally coupled with prefrontal regions. Based on these findings, we propose that when task goals change, object representations in HPC can be organized in new ways, resulting in updated concepts that highlight the features most critical to the new goal. PMID:27803320

REWARD/PUNISHMENT REVERSAL LEARNING IN OLDER SUICIDE ATTEMPTERS

PubMed Central

Dombrovski, Alexandre Y.; Clark, Luke; Siegle, Greg J.; Butters, Meryl A.; Ichikawa, Naho; Sahakian, Barbara; Szanto, Katalin

2011-01-01

Objective Suicide rates are very high in old age, and the contribution of cognitive risk factors remains poorly understood. Suicide may be viewed as an outcome of an altered decision process. We hypothesized that impairment in a component of affective decision-making – reward/punishment-based learning – is associated with attempted suicide in late-life depression. We expected that suicide attempters would discount past reward/punishment history, focusing excessively on the most recent rewards and punishments. Further, we hypothesized that this impairment could be dissociated from executive abilities such as forward planning. Method We assessed reward/punishment-based learning using the Probabilistic Reversal Learning task in 65 individuals aged 60 and older: suicide attempters, suicide ideators, non-suicidal depressed elderly, and non-depressed controls. We used a reinforcement learning computational model to decompose reward/punishment processing over time. The Stockings of Cambridge test served as a control measure of executive function. Results Suicide attempters but not suicide ideators showed impaired probabilistic reversal learning compared to both non-suicidal depressed elderly and to non-depressed controls, after controlling for effects of education, global cognitive function, and substance use. Model-based analyses revealed that suicide attempters discounted previous history to a higher degree, compared to controls, basing their choice largely on reward/punishment received on the last trial. Groups did not differ in their performance on the Stockings of Cambridge. Conclusions Older suicide attempters display impaired reward/punishment-based learning. We propose a hypothesis that older suicide attempters make overly present-focused decisions, ignoring past experiences. Modification of this ‘myopia for the past’ may have therapeutic potential. PMID:20231320

Influence of an Intensive, Field-Based Life Science Course on Preservice Teachers' Self-Efficacy for Environmental Science Teaching

NASA Astrophysics Data System (ADS)

Trauth-Nare, Amy

2015-08-01

Personal and professional experiences influence teachers' perceptions of their ability to implement environmental science curricula and to positively impact students' learning. The purpose of this study was twofold: to determine what influence, if any, an intensive field-based life science course and service learning had on preservice teachers' self-efficacy for teaching about the environment and to determine which aspects of the combined field-based course/service learning preservice teachers perceived as effective for enhancing their self-efficacy. Data were collected from class documents and written teaching reflections of 38 middle-level preservice teachers. Some participants ( n = 18) also completed the Environmental Education Efficacy Belief Instrument at the beginning and end of the semester. Both qualitative and quantitative data analyses indicated a significant increase in PSTs' personal efficacies for environmental teaching, t(17) = 4.50, p = .000, d = 1.30, 95 % CI (.33, .90), but not outcome expectancy, t(17) = 1.15, p = .268, d = .220, 95 % CI (-.06, .20). Preservice teachers reported three aspects of the course as important for enhancing their self-efficacies: learning about ecological concepts through place-based issues, service learning with K-5 students and EE curriculum development. Data from this study extend prior work by indicating that practical experiences with students were not the sole factor in shaping PSTs' self-efficacy; learning ecological concepts and theories in field-based activities grounded in the local landscape also influenced PSTs' self-efficacy.

Examining Peer Acceptance in Verbal and Non-Verbal Interaction during Computer-Supported Collaborative Learning: Implications for Inclusion

ERIC Educational Resources Information Center

Mavrou, Katerina

2012-01-01

This paper discusses the results of peer acceptance in a study investigating the interactions of pairs of disabled and non-disabled pupils working together on computer-based tasks in mainstream primary schools in Cyprus. Twenty dyads of pupils were observed and videotaped while working together at the computer. Data analyses were based on the…

Effects of Inquiry-Based Science Instruction on Science Achievement and Interest in Science: Evidence from Qatar

ERIC Educational Resources Information Center

Areepattamannil, Shaljan

2012-01-01

The author sought to investigate the effects of inquiry-based science instruction on science achievement and interest in science of 5,120 adolescents from 85 schools in Qatar. Results of hierarchical linear modeling analyses revealed the substantial positive effects of science teaching and learning with a focus on model or applications and…

Public Librarians as Partners in Problem-Based Learning in Secondary Schools: A Case Study in Finland

ERIC Educational Resources Information Center

Pietikäinen, Virpi; Kortelainen, Terttu; Siklander, Pirkko

2017-01-01

Introduction: Teachers in Finland are demanded to develop students' competencies in information literacy. However, they can meet this demand only by collaborating with public librarians. The aim in this case study was to explore the perspectives of teachers, librarians and students in a problem-based project and to analyse the advantages and…

The Reliability and Sources of Error of Using Rubrics-Based Assessment for Student Projects

ERIC Educational Resources Information Center

Menéndez-Varela, José-Luis; Gregori-Giralt, Eva

2018-01-01

Rubrics are widely used in higher education to assess performance in project-based learning environments. To date, the sources of error that may affect their reliability have not been studied in depth. Using generalisability theory as its starting-point, this article analyses the influence of the assessors and the criteria of the rubrics on the…

Using an Evidential Reasoning Approach for Portfolio Assessments in a Project-Based Learning Engineering Design Course

ERIC Educational Resources Information Center

Jaeger, Martin; Adair, Desmond

2015-01-01

The purpose of this study is to analyse the feasibility of an evidential reasoning (ER) method for portfolio assessments and comparison of the results found with those based on a traditional holistic judgement. An ER approach has been incorporated into portfolio assessment of an undergraduate engineering design course delivered as a project-based…

Conditioning Factors and Opportunities for Teamwork. A Case Study from a Catalan University

ERIC Educational Resources Information Center

Galtés, Ruth; Tomás, Marina

2015-01-01

The aim of this article is to analyse the conditioning factors and opportunities that influence teamwork among teachers at a Catalan university. The creation of new academic identities based on a culture of mutual and continuing learning are essential if teacher teams are to be encouraged. A descriptive methodology was used, based on a case study…

Algorithmic analysis of relational learning processes in instructional technology: Some implications for basic, translational, and applied research.

PubMed

McIlvane, William J; Kledaras, Joanne B; Gerard, Christophe J; Wilde, Lorin; Smelson, David

2018-07-01

A few noteworthy exceptions notwithstanding, quantitative analyses of relational learning are most often simple descriptive measures of study outcomes. For example, studies of stimulus equivalence have made much progress using measures such as percentage consistent with equivalence relations, discrimination ratio, and response latency. Although procedures may have ad hoc variations, they remain fairly similar across studies. Comparison studies of training variables that lead to different outcomes are few. Yet to be developed are tools designed specifically for dynamic and/or parametric analyses of relational learning processes. This paper will focus on recent studies to develop (1) quality computer-based programmed instruction for supporting relational learning in children with autism spectrum disorders and intellectual disabilities and (2) formal algorithms that permit ongoing, dynamic assessment of learner performance and procedure changes to optimize instructional efficacy and efficiency. Because these algorithms have a strong basis in evidence and in theories of stimulus control, they may have utility also for basic and translational research. We present an overview of the research program, details of algorithm features, and summary results that illustrate their possible benefits. It also presents arguments that such algorithm development may encourage parametric research, help in integrating new research findings, and support in-depth quantitative analyses of stimulus control processes in relational learning. Such algorithms may also serve to model control of basic behavioral processes that is important to the design of effective programmed instruction for human learners with and without functional disabilities. Copyright © 2018 Elsevier B.V. All rights reserved.

Zooniverse - Real science online with more than a million people. (Invited)

NASA Astrophysics Data System (ADS)

Smith, A.; Lynn, S.; Lintott, C.; Whyte, L.; Borden, K. A.

2013-12-01

The Zooniverse (zooniverse.org) began in 2007 with the launch of Galaxy Zoo, a project in which more than 175,000 people provided shape analyses of more than 1 million galaxy images sourced from the Sloan Digital Sky Survey. These galaxy 'classifications', some 60 million in total, have since been used to produce more than 50 peer-reviewed publications based not only on the original research goals of the project but also because of serendipitous discoveries made by the volunteer community. Based upon the success of Galaxy Zoo the team have gone on to develop more than 25 web-based citizen science projects, all with a strong research focus in a range of subjects from astronomy to zoology where human-based analysis still exceeds that of machine intelligence. Over the past 6 years Zooniverse projects have collected more than 300 million data analyses from over 1 million volunteers providing fantastically rich datasets for not only the individuals working to produce research from their project but also the machine learning and computer vision research communities. This talk will focus on the core 'method' by which Zooniverse projects are developed and lessons learned by the Zooniverse team developing citizen science projects across a range of disciplines.

Do job demands and job control affect problem-solving?

PubMed

Bergman, Peter N; Ahlberg, Gunnel; Johansson, Gun; Stoetzer, Ulrich; Aborg, Carl; Hallsten, Lennart; Lundberg, Ingvar

2012-01-01

The Job Demand Control model presents combinations of working conditions that may facilitate learning, the active learning hypothesis, or have detrimental effects on health, the strain hypothesis. To test the active learning hypothesis, this study analysed the effects of job demands and job control on general problem-solving strategies. A population-based sample of 4,636 individuals (55% women, 45% men) with the same job characteristics measured at two times with a three year time lag was used. Main effects of demands, skill discretion, task authority and control, and the combined effects of demands and control were analysed in logistic regressions, on four outcomes representing general problem-solving strategies. Those reporting high on skill discretion, task authority and control, as well as those reporting high demand/high control and low demand/high control job characteristics were more likely to state using problem solving strategies. Results suggest that working conditions including high levels of control may affect how individuals cope with problems and that workplace characteristics may affect behaviour in the non-work domain.

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.

LEADER - An integrated engine behavior and design analyses based real-time fault diagnostic expert system for Space Shuttle Main Engine (SSME)

NASA Technical Reports Server (NTRS)

Gupta, U. K.; Ali, M.

1989-01-01

The LEADER expert system has been developed for automatic learning tasks encompassing real-time detection, identification, verification, and correction of anomalous propulsion system operations, using a set of sensors to monitor engine component performance to ascertain anomalies in engine dynamics and behavior. Two diagnostic approaches are embodied in LEADER's architecture: (1) learning and identifying engine behavior patterns to generate novel hypotheses about possible abnormalities, and (2) the direction of engine sensor data processing to perform resoning based on engine design and functional knowledge, as well as the principles of the relevant mechanics and physics.

Statistics for Learning Genetics

ERIC Educational Resources Information Center

Charles, Abigail Sheena

2012-01-01

This study investigated the knowledge and skills that biology students may need to help them understand statistics/mathematics as it applies to genetics. The data are based on analyses of current representative genetics texts, practicing genetics professors' perspectives, and more directly, students' perceptions of, and performance in, doing…

A Bayesian network model for predicting type 2 diabetes risk based on electronic health records

NASA Astrophysics Data System (ADS)

Xie, Jiang; Liu, Yan; Zeng, Xu; Zhang, Wu; Mei, Zhen

2017-07-01

An extensive, in-depth study of diabetes risk factors (DBRF) is of crucial importance to prevent (or reduce) the chance of suffering from type 2 diabetes (T2D). Accumulation of electronic health records (EHRs) makes it possible to build nonlinear relationships between risk factors and diabetes. However, the current DBRF researches mainly focus on qualitative analyses, and the inconformity of physical examination items makes the risk factors likely to be lost, which drives us to study the novel machine learning approach for risk model development. In this paper, we use Bayesian networks (BNs) to analyze the relationship between physical examination information and T2D, and to quantify the link between risk factors and T2D. Furthermore, with the quantitative analyses of DBRF, we adopt EHR and propose a machine learning approach based on BNs to predict the risk of T2D. The experiments demonstrate that our approach can lead to better predictive performance than the classical risk model.

Statistical Learning Analysis in Neuroscience: Aiming for Transparency

PubMed Central

Hanke, Michael; Halchenko, Yaroslav O.; Haxby, James V.; Pollmann, Stefan

2009-01-01

Encouraged by a rise of reciprocal interest between the machine learning and neuroscience communities, several recent studies have demonstrated the explanatory power of statistical learning techniques for the analysis of neural data. In order to facilitate a wider adoption of these methods, neuroscientific research needs to ensure a maximum of transparency to allow for comprehensive evaluation of the employed procedures. We argue that such transparency requires “neuroscience-aware” technology for the performance of multivariate pattern analyses of neural data that can be documented in a comprehensive, yet comprehensible way. Recently, we introduced PyMVPA, a specialized Python framework for machine learning based data analysis that addresses this demand. Here, we review its features and applicability to various neural data modalities. PMID:20582270

GeNets: a unified web platform for network-based genomic analyses.

PubMed

Li, Taibo; Kim, April; Rosenbluh, Joseph; Horn, Heiko; Greenfeld, Liraz; An, David; Zimmer, Andrew; Liberzon, Arthur; Bistline, Jon; Natoli, Ted; Li, Yang; Tsherniak, Aviad; Narayan, Rajiv; Subramanian, Aravind; Liefeld, Ted; Wong, Bang; Thompson, Dawn; Calvo, Sarah; Carr, Steve; Boehm, Jesse; Jaffe, Jake; Mesirov, Jill; Hacohen, Nir; Regev, Aviv; Lage, Kasper

2018-06-18

Functional genomics networks are widely used to identify unexpected pathway relationships in large genomic datasets. However, it is challenging to compare the signal-to-noise ratios of different networks and to identify the optimal network with which to interpret a particular genetic dataset. We present GeNets, a platform in which users can train a machine-learning model (Quack) to carry out these comparisons and execute, store, and share analyses of genetic and RNA-sequencing datasets.

The relation between prior knowledge and students' collaborative discovery learning processes

NASA Astrophysics Data System (ADS)

Gijlers, Hannie; de Jong, Ton

2005-03-01

In this study we investigate how prior knowledge influences knowledge development during collaborative discovery learning. Fifteen dyads of students (pre-university education, 15-16 years old) worked on a discovery learning task in the physics field of kinematics. The (face-to-face) communication between students was recorded and the interaction with the environment was logged. Based on students' individual judgments of the truth-value and testability of a series of domain-specific propositions, a detailed description of the knowledge configuration for each dyad was created before they entered the learning environment. Qualitative analyses of two dialogues illustrated that prior knowledge influences the discovery learning processes, and knowledge development in a pair of students. Assessments of student and dyad definitional (domain-specific) knowledge, generic (mathematical and graph) knowledge, and generic (discovery) skills were related to the students' dialogue in different discovery learning processes. Results show that a high level of definitional prior knowledge is positively related to the proportion of communication regarding the interpretation of results. Heterogeneity with respect to generic prior knowledge was positively related to the number of utterances made in the discovery process categories hypotheses generation and experimentation. Results of the qualitative analyses indicated that collaboration between extremely heterogeneous dyads is difficult when the high achiever is not willing to scaffold information and work in the low achiever's zone of proximal development.

Validating e-learning in continuing pharmacy education: user acceptance and knowledge change

PubMed Central

2014-01-01

Background Continuing pharmacy education is becoming mandatory in most countries in order to keep the professional license valid. Increasing number of pharmacists are now using e-learning as part of their continuing education. Consequently, the increasing popularity of this method of education calls for standardization and validation practices. The conducted research explored validation aspects of e-learning in terms of knowledge increase and user acceptance. Methods Two e-courses were conducted as e-based continuing pharmacy education for graduated pharmacists. Knowledge increase and user acceptance were the two outcome measured. The change of knowledge in the first e-course was measured by a pre- and post-test and results analysed by the Wilcoxon signed–rank test. The acceptance of e-learning in the second e-course was investigated by a questionnaire and the results analysed using descriptive statistics. Results Results showed that knowledge increased significantly (p < 0.001) by 16 pp after participation in the first e-course. Among the participants who responded to the survey in the second course, 92% stated that e-courses were effective and 91% stated that they enjoyed the course. Conclusions The study shows that e-learning is a viable medium of conducting continuing pharmacy education; e-learning is effective in increasing knowledge and highly accepted by pharmacists from various working environments such as community and hospital pharmacies, faculties of pharmacy or wholesales. PMID:24528547

Student performance in computing education: an empirical analysis of online learning in programming education environments

NASA Astrophysics Data System (ADS)

Xia, Belle Selene; Liitiäinen, Elia

2017-11-01

The benefits of using online exercises have been analysed in terms of distance learning, automatic assessment and self-regulated learning. In this study, we have not found a direct proportional relationship between student performance in the course exercises that use online technologies and the exam grades. We see that the average submission rate to these online exercises is not positively correlated with the exercise points. Yet, our results confirm that doing exercises along supports student learning and skill accumulation equipping them with the knowledge of programming. While the student performance in programming courses is affected by factors such as prior background in programming, cognitive skills and the quality of teaching, completing the course exercises via learning-by-doing is an indispensable part of teaching. Based on the student feedback from the course survey, the students are highly satisfied with using online technologies as part of learning.

Competences for enhancing interprofessional collaboration in a paediatrics setting: Enabling and hindering factors.

PubMed

Solevåg, Anne Lee; Karlgren, Klas

2016-01-01

In 2011 an interprofessional educational programme called "Pediatric systematic assessment and communication for preventing emergencies" designed to increase clinical staff's competence in treating sick children was introduced in one paediatrics department in Norway. To elicit an in-depth understanding of the perceptions of clinical staff about the programme and enact adjustments according to identified enabling and hindering factors for learning, nurses and paediatricians were invited to participate in focus group interviews. The interviews were analysed by content analysis. Enabling factors for learning included improved interprofessional collaboration and positive feedback on performance. Hindering factors included perceptions that the programme was redundant and the fact that collaborating departments, such as the surgical departments, were not familiar with the programme. Peer learning, more interprofessional learning activities, and the fostering of a learning organization were suggestions for sustained learning. Based on the results of the study we have now included collaborating departments in the programme.

Student’s STEM Literacy in Biotechnology Learning at Junior High School

NASA Astrophysics Data System (ADS)

Nurlaely, N.; Permanasari, A.; Riandi, R.

2017-09-01

A considerable study to student’s STEM literacy achievement profile, especially in biotechnology learning, has been conducted to make the innovation of the STEM-based learning. The study aims to find out the STEM literacy. The sample is taken through purposive sampling technique to 45 students of 9th grade of a junior high school in Tasikmalaya district. The instruments are multiple choice questions. Data are analysed by calculating mean score of students’ STEM literacy achievement. The results show that student’s STEM literacy achievement was low. Science literacy aspect was the lowest, while mathematical literacy gained better than another aspect. The low achievement of students’ STEM literacy was because of learning activities that have not been able to integrate science, technology, engineering, and mathematics in science learning. The literacy profile indicates the importance of applying STEM approach to science learning, and it is recommended to improve students’ STEM literacy achievement.

Hierarchical Traces for Reduced NSM Memory Requirements

NASA Astrophysics Data System (ADS)

Dahl, Torbjørn S.

This paper presents work on using hierarchical long term memory to reduce the memory requirements of nearest sequence memory (NSM) learning, a previously published, instance-based reinforcement learning algorithm. A hierarchical memory representation reduces the memory requirements by allowing traces to share common sub-sequences. We present moderated mechanisms for estimating discounted future rewards and for dealing with hidden state using hierarchical memory. We also present an experimental analysis of how the sub-sequence length affects the memory compression achieved and show that the reduced memory requirements do not effect the speed of learning. Finally, we analyse and discuss the persistence of the sub-sequences independent of specific trace instances.

Syngeneic Transplantation of Olfactory Ectomesenchymal Stem Cells Restores Learning and Memory Abilities in a Rat Model of Global Cerebral Ischemia.

PubMed

Veron, Antoine D; Bienboire-Frosini, Cécile; Girard, Stéphane D; Sadelli, Kevin; Stamegna, Jean-Claude; Khrestchatisky, Michel; Alexis, Jennifer; Pageat, Patrick; Asproni, Pietro; Mengoli, Manuel; Roman, François S

2018-01-01

Stem cells are considered as promising tools to repair diverse tissue injuries. Among the different stem cell types, the "olfactory ectomesenchymal stem cells" (OE-MSCs) located in the adult olfactory mucosa stand as one of the best candidates. Here, we evaluated if OE-MSC grafts could decrease memory impairments due to ischemic injury. OE-MSCs were collected from syngeneic F344 rats. After a two-step global cerebral ischemia, inducing hippocampal lesions, learning abilities were evaluated using an olfactory associative discrimination task. Cells were grafted into the hippocampus 5 weeks after injury and animal's learning abilities reassessed. Rats were then sacrificed and the brains collected for immunohistochemical analyses. We observed significant impairments in learning and memory abilities following ischemia. However, 4 weeks after OE-MSC grafts, animals displayed learning and memory performances similar to those of controls, while sham rats did not improve them. Immunohistochemical analyses revealed that grafts promoted neuroblast and glial cell proliferation, which could permit to restore cognitive functions. These results demonstrated, for the first time, that syngeneic transplantations of OE-MSCs in rats can restore cognitive abilities impaired after brain injuries and provide support for the development of clinical studies based on grafts of OE-MSCs in amnesic patients following brain injuries.

Developing Pedagogical Expertise in Modern Language Learning and Specific Learning Difficulties through Collaborative and Open Educational Practices

ERIC Educational Resources Information Center

Gallardo, Matilde; Heiser, Sarah; Arias McLaughlin, Ximena

2017-01-01

This paper analyses teachers' engagement with collaborative and open educational practices to develop their pedagogical expertise in the field of modern language (ML) learning and specific learning difficulties (SpLD). The study analyses the findings of a staff development initiative at the Department of Languages, Open University, UK, in 2013,…

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.

Science Teacher Efficacy and Extrinsic Factors Toward Professional Development Using Video Games in a Design-Based Research Model: The Next Generation of STEM Learning

NASA Astrophysics Data System (ADS)

Annetta, Leonard A.; Frazier, Wendy M.; Folta, Elizabeth; Holmes, Shawn; Lamb, Richard; Cheng, Meng-Tzu

2013-02-01

Designed-based research principles guided the study of 51 secondary-science teachers in the second year of a 3-year professional development project. The project entailed the creation of student-centered, inquiry-based, science, video games. A professional development model appropriate for infusing innovative technologies into standards-based curricula was employed to determine how science teacher's attitudes and efficacy where impacted while designing science-based video games. The study's mixed-method design ascertained teacher efficacy on five factors (General computer use, Science Learning, Inquiry Teaching and Learning, Synchronous chat/text, and Playing Video Games) related to technology and gaming using a web-based survey). Qualitative data in the form of online blog posts was gathered during the project to assist in the triangulation and assessment of teacher efficacy. Data analyses consisted of an Analysis of Variance and serial coding of teacher reflective responses. Results indicated participants who used computers daily have higher efficacy while using inquiry-based teaching methods and science teaching and learning. Additional emergent findings revealed possible motivating factors for efficacy. This professional development project was focused on inquiry as a pedagogical strategy, standard-based science learning as means to develop content knowledge, and creating video games as technological knowledge. The project was consistent with the Technological Pedagogical Content Knowledge (TPCK) framework where overlapping circles of the three components indicates development of an integrated understanding of the suggested relationships. Findings provide suggestions for development of standards-based science education software, its integration into the curriculum and, strategies for implementing technology into teaching practices.

Learning strategies and general cognitive ability as predictors of gender- specific academic achievement

PubMed Central

Ruffing, Stephanie; Wach, F. -Sophie; Spinath, Frank M.; Brünken, Roland; Karbach, Julia

2015-01-01

Recent research has revealed that learning behavior is associated with academic achievement at the college level, but the impact of specific learning strategies on academic success as well as gender differences therein are still not clear. Therefore, the aim of this study was to investigate gender differences in the incremental contribution of learning strategies over general cognitive ability in the prediction of academic achievement. The relationship between these variables was examined by correlation analyses. A set of t-tests was used to test for gender differences in learning strategies, whereas structural equation modeling as well as multi-group analyses were applied to investigate the incremental contribution of learning strategies for male and female students’ academic performance. The sample consisted of 461 students (mean age = 21.2 years, SD = 3.2). Correlation analyses revealed that general cognitive ability as well as the learning strategies effort, attention, and learning environment were positively correlated with academic achievement. Gender differences were found in the reported application of many learning strategies. Importantly, the prediction of achievement in structural equation modeling revealed that only effort explained incremental variance (10%) over general cognitive ability. Results of multi-group analyses showed no gender differences in this prediction model. This finding provides further knowledge regarding gender differences in learning research and the specific role of learning strategies for academic achievement. The incremental assessment of learning strategy use as well as gender-differences in their predictive value contributes to the understanding and improvement of successful academic development. PMID:26347698

Learning strategies and general cognitive ability as predictors of gender- specific academic achievement.

PubMed

Ruffing, Stephanie; Wach, F-Sophie; Spinath, Frank M; Brünken, Roland; Karbach, Julia

2015-01-01

Recent research has revealed that learning behavior is associated with academic achievement at the college level, but the impact of specific learning strategies on academic success as well as gender differences therein are still not clear. Therefore, the aim of this study was to investigate gender differences in the incremental contribution of learning strategies over general cognitive ability in the prediction of academic achievement. The relationship between these variables was examined by correlation analyses. A set of t-tests was used to test for gender differences in learning strategies, whereas structural equation modeling as well as multi-group analyses were applied to investigate the incremental contribution of learning strategies for male and female students' academic performance. The sample consisted of 461 students (mean age = 21.2 years, SD = 3.2). Correlation analyses revealed that general cognitive ability as well as the learning strategies effort, attention, and learning environment were positively correlated with academic achievement. Gender differences were found in the reported application of many learning strategies. Importantly, the prediction of achievement in structural equation modeling revealed that only effort explained incremental variance (10%) over general cognitive ability. Results of multi-group analyses showed no gender differences in this prediction model. This finding provides further knowledge regarding gender differences in learning research and the specific role of learning strategies for academic achievement. The incremental assessment of learning strategy use as well as gender-differences in their predictive value contributes to the understanding and improvement of successful academic development.

Evaluation of a Web-based social network electronic game in enhancing mental health literacy for young people.

PubMed

Li, Tim M H; Chau, Michael; Wong, Paul W C; Lai, Eliza S Y; Yip, Paul S F

2013-05-15

Internet-based learning programs provide people with massive health care information and self-help guidelines on improving their health. The advent of Web 2.0 and social networks renders significant flexibility to embedding highly interactive components, such as games, to foster learning processes. The effectiveness of game-based learning on social networks has not yet been fully evaluated. The aim of this study was to assess the effectiveness of a fully automated, Web-based, social network electronic game on enhancing mental health knowledge and problem-solving skills of young people. We investigated potential motivational constructs directly affecting the learning outcome. Gender differences in learning outcome and motivation were also examined. A pre/posttest design was used to evaluate the fully automated Web-based intervention. Participants, recruited from a closed online user group, self-assessed their mental health literacy and motivational constructs before and after completing the game within a 3-week period. The electronic game was designed according to cognitive-behavioral approaches. Completers and intent-to-treat analyses, using multiple imputation for missing data, were performed. Regression analysis with backward selection was employed when examining the relationship between knowledge enhancement and motivational constructs. The sample included 73 undergraduates (42 females) for completers analysis. The gaming approach was effective in enhancing young people's mental health literacy (d=0.65). The finding was also consistent with the intent-to-treat analysis, which included 127 undergraduates (75 females). No gender differences were found in learning outcome (P=.97). Intrinsic goal orientation was the primary factor in learning motivation, whereas test anxiety was successfully alleviated in the game setting. No gender differences were found on any learning motivation subscales (P>.10). We also found that participants' self-efficacy for learning and performance, as well as test anxiety, significantly affected their learning outcomes, whereas other motivational subscales were statistically nonsignificant. Electronic games implemented through social networking sites appear to effectively enhance users' mental health literacy.

A Systems Approach to Scaffold Communication Skills Development

PubMed Central

Er, Nelson L.

2008-01-01

Objectives To implement a communication skills development (CSD) system and evaluate its effectiveness in a clinical communications course. Design Students conducted baseline interviews and wrote SOAP notes, and based on faculty, patient, self- and peer assessments, set goals for improvement of their communication skills. Students participated in various activities to scaffold their learning, several of which took place in a web-based environment to enhance access and function for both students and faculty members. Quantitative and qualitative analyses were performed. Assessment Students' communication skills improved as evidenced by assessment scores. Student and faculty comments offered additional evidence of the effectiveness of standardized patient interviews, learning strategies, and assessment methods. Conclusion The CSD system effectively integrated various types of learning activities and feedback processes. The use of scaffolding strategies appeared to enhance the development of students' communication skills. PMID:18483601

Evaluating learning and teaching using the Force Concept Inventory

NASA Astrophysics Data System (ADS)

Zitzewitz, Paul

1997-04-01

Teaching methods used in the calculus-based mechanics course for engineers and scientists (P150) at the University of Michigan-Dearborn were markedly changed in September, 1996. Lectures emphasize active learning with Mazur's ConcepTests, Sokoloff's Interactive Demonstrations, and Van Heuvelen's ALPS Kit worksheets. Students solve context-rich problems using Van Heuvelen's multiple representation format in cooperative groups in discussion sections. Labs were changed to use MBL emphasizing concepts and Experiment Problems to learn lab-based problem solving. Pre- and post-testing of 400 students with the Force Concept Inventory has demonstrated considerable success. The average increase in score has been 35-45methods as defined by Hake. The methods and results will be discussed. Detailed analyses of the FCI results will look at success in teaching specific concepts and the effect of student preparation in mathematics and high school physics.

Video-Based Analyses of Motivation and Interaction in Science Classrooms

NASA Astrophysics Data System (ADS)

Moeller Andersen, Hanne; Nielsen, Birgitte Lund

2013-04-01

An analytical framework for examining students' motivation was developed and used for analyses of video excerpts from science classrooms. The framework was developed in an iterative process involving theories on motivation and video excerpts from a 'motivational event' where students worked in groups. Subsequently, the framework was used for an analysis of students' motivation in the whole class situation. A cross-case analysis was carried out illustrating characteristics of students' motivation dependent on the context. This research showed that students' motivation to learn science is stimulated by a range of different factors, with autonomy, relatedness and belonging apparently being the main sources of motivation. The teacher's combined use of questions, uptake and high level evaluation was very important for students' learning processes and motivation, especially students' self-efficacy. By coding and analysing video excerpts from science classrooms, we were able to demonstrate that the analytical framework helped us gain new insights into the effect of teachers' communication and other elements on students' motivation.

Comparative Genomics of Erwinia amylovora and Related Erwinia Species—What do We Learn?

PubMed Central

Zhao, Youfu; Qi, Mingsheng

2011-01-01

Erwinia amylovora, the causal agent of fire blight disease of apples and pears, is one of the most important plant bacterial pathogens with worldwide economic significance. Recent reports on the complete or draft genome sequences of four species in the genus Erwinia, including E. amylovora, E. pyrifoliae, E. tasmaniensis, and E. billingiae, have provided us near complete genetic information about this pathogen and its closely-related species. This review describes in silico subtractive hybridization-based comparative genomic analyses of eight genomes currently available, and highlights what we have learned from these comparative analyses, as well as genetic and functional genomic studies. Sequence analyses reinforce the assumption that E. amylovora is a relatively homogeneous species and support the current classification scheme of E. amylovora and its related species. The potential evolutionary origin of these Erwinia species is also proposed. The current understanding of the pathogen, its virulence mechanism and host specificity from genome sequencing data is summarized. Future research directions are also suggested. PMID:24710213

Self-regulation of the anterior insula: Reinforcement learning using real-time fMRI neurofeedback.

PubMed

Lawrence, Emma J; Su, Li; Barker, Gareth J; Medford, Nick; Dalton, Jeffrey; Williams, Steve C R; Birbaumer, Niels; Veit, Ralf; Ranganatha, Sitaram; Bodurka, Jerzy; Brammer, Michael; Giampietro, Vincent; David, Anthony S

2014-03-01

The anterior insula (AI) plays a key role in affective processing, and insular dysfunction has been noted in several clinical conditions. Real-time functional MRI neurofeedback (rtfMRI-NF) provides a means of helping people learn to self-regulate activation in this brain region. Using the Blood Oxygenated Level Dependant (BOLD) signal from the right AI (RAI) as neurofeedback, we trained participants to increase RAI activation. In contrast, another group of participants was shown 'control' feedback from another brain area. Pre- and post-training affective probes were shown, with subjective ratings and skin conductance response (SCR) measured. We also investigated a reward-related reinforcement learning model of rtfMRI-NF. In contrast to the controls, we hypothesised a positive linear increase in RAI activation in participants shown feedback from this region, alongside increases in valence ratings and SCR to affective probes. Hypothesis-driven analyses showed a significant interaction between the RAI/control neurofeedback groups and the effect of self-regulation. Whole-brain analyses revealed a significant linear increase in RAI activation across four training runs in the group who received feedback from RAI. Increased activation was also observed in the caudate body and thalamus, likely representing feedback-related learning. No positive linear trend was observed in the RAI in the group receiving control feedback, suggesting that these data are not a general effect of cognitive strategy or control feedback. The control group did, however, show diffuse activation across the putamen, caudate and posterior insula which may indicate the representation of false feedback. No significant training-related behavioural differences were observed for valence ratings, or SCR. In addition, correlational analyses based on a reinforcement learning model showed that the dorsal anterior cingulate cortex underpinned learning in both groups. In summary, these data demonstrate that it is possible to regulate the RAI using rtfMRI-NF within one scanning session, and that such reward-related learning is mediated by the dorsal anterior cingulate. Copyright © 2013 Elsevier Inc. All rights reserved.

Research on CALL.

ERIC Educational Resources Information Center

Pederson, Kathleen Marshall

The status of research on computer-assisted language learning (CALL) is explored beginning with a historical perspective of research on the language laboratory, followed by analyses of applied research on CALL. A theoretical base is provided to illustrate the need for more basic research on CALL that considers computer capabilities, learner…

Collegiate Mathematics Teaching: An Unexamined Practice

ERIC Educational Resources Information Center

Speer, Natasha M.; Smith, John P., III; Horvath, Aladar

2010-01-01

Though written accounts of collegiate mathematics teaching exist (e.g., mathematicians' reflections and analyses of learning and teaching in innovative courses), research on collegiate teachers' actual classroom teaching practice is virtually non-existent. We advance this claim based on a thorough review of peer-reviewed journals where scholarship…

Applying the technology acceptance model to explore public health nurses' intentions towards web-based learning: a cross-sectional questionnaire survey.

PubMed

Chen, I Ju; Yang, Kuei-Feng; Tang, Fu-In; Huang, Chun-Hsia; Yu, Shu

2008-06-01

In the era of the knowledge economy, public health nurses (PHNs) need to update their knowledge to ensure quality of care. In pre-implementation stage, policy makers and educators should understand PHNs' behavioural intentions (BI) toward web-based learning because it is the most important determinant of actual behaviour. To understand PHNs' BI toward web-based learning and further to identify the factors influencing PHNs' BI based on the technology acceptance model (TAM) in pre-implementation stage. A nationwide-based cross-sectional research design was used in this study. Three hundred and sixty-nine health centres in Taiwan. A randomly selected sample, 202 PHNs participated in this study. Data were collected by mailing in a questionnaire. The majority of PHNs (91.6%, n=185) showed an affirmative BI toward web-based learning. PHNs rated moderate values of perceived usefulness (U), perceived ease of use (EOU) and attitude toward web-based learning (A). Multiple regression analyses indicated that only U revealed a significantly direct influence on BI. U and EOU had significantly direct relationships with A; however, no significant relationship existed between A and BI. Additionally, EOU and an individual's computer competence revealed significant relationships with U; Internet access at the workplace revealed a significant relationship with EOU. In the pre-implementation stage, PHNs perceived a high likelihood of adopting web-based learning as their way of continuing education. In pre-implementation stage, perceived usefulness is the most important factor for BI instead of the attitude. Perceived EOU, an individual's computer competency, and Internet access at workplaces revealed indirect effects on BI. Therefore, increasing U, EOU, computer competence, and Internet access at workplace will be helpful in increasing PHNs' BI. Moreover, we suggest that future studies should focus on clarifying problems in different stages of implementation to build a more complete understanding of implementing web-based learning.

Evidence based medicine: teaching, learning and practice: results of a cross-sectional study from Turkey.

PubMed

Avsar, Ummu Zeynep; Avsar, Umit; Cansever, Zeliha; Acemoglu, Hamit; Cayir, Yasemin; Khan, Abdul Sattar

2014-07-01

To assess the level of understanding related to the significance of evidence-based medicine among physicians. The cross-sectional study was conducted between March and October 2012 using an online questionnaire that was sent out to physicians and academics working as faculty at training hospitals across Turkey. The questionnaire consisted of questions about the knowledge, attitude and behaviour towards evidence-based medicine. Seven of the questions pertained to the learning of evidence-based medicine, six were about teaching evidence-based medicine, and six were about its practice. SPSS 20 was used for statistical analyses. The questionnaire was returned duly filled by 79 physicians. Of them, 41 (51.9%) were males; and 57 (72.2%) were part of the faculty. Only 1(1.2%) participant had attended a course about evidence-based medicine during undergraduate education, while 19 (24.05)had attended one after graduation. Besides, 26 (32.9%) academics were teaching some concepts of evidence-based medicine, and 21 (26.6%) were giving some information about clinical guidelines. The study found that levels of learning and teaching of evidence-based medicine among physicians were inadequate. They should be emphasised at both pre- and post-graduate tiers.

Modified team-based learning strategy to improve human anatomy learning: A pilot study at the Universidad del Norte in Barranquilla, Colombia.

PubMed

Martínez, Emilio G; Tuesca, Rafael

2014-01-01

As part of an institutional program sponsored by the Centre for Teaching Excellence at the Universidad del Norte, Barranquilla, Colombia, we developed an educational research study on two sessions of human anatomy in which we combined team-based learning (TBL) and the use of iPads. Study data included the TBL, assessments applied during the course, student's grades on mid-term examinations and students' perceptions of their experiences. Students reported a positive attitude toward the use of the TBL sessions, and the results showed a significant improvement in their learning between the first and second sessions. Significantly positive correlations (P < 0.05) were obtained between (a) the individual students' readiness test performance 1 and mid-term examination 1, (b) the individual readiness test performances from Session 1 to Session 2, and (c) the group readiness test performances from the first and second sessions. These results point to positive learning experiences for these students. Analyses of the students' reflections on their activities also pointed toward future challenges. © 2014 American Association of Anatomists.

The training and learning process of transseptal puncture using a modified technique.

PubMed

Yao, Yan; Ding, Ligang; Chen, Wensheng; Guo, Jun; Bao, Jingru; Shi, Rui; Huang, Wen; Zhang, Shu; Wong, Tom

2013-12-01

As the transseptal (TS) puncture has become an integral part of many types of cardiac interventional procedures, its technique that was initial reported for measurement of left atrial pressure in 1950s, continue to evolve. Our laboratory adopted a modified technique which uses only coronary sinus catheter as the landmark to accomplishing TS punctures under fluoroscopy. The aim of this study is prospectively to evaluate the training and learning process for TS puncture guided by this modified technique. Guided by the training protocol, TS puncture was performed in 120 consecutive patients by three trainees without previous personal experience in TS catheterization and one experienced trainer as a controller. We analysed the following parameters: one puncture success rate, total procedure time, fluoroscopic time, and radiation dose. The learning curve was analysed using curve-fitting methodology. The first attempt at TS crossing was successful in 74 (82%), a second attempt was successful in 11 (12%), and 5 patients failed to puncture the interatrial septal finally. The average starting process time was 4.1 ± 0.8 min, and the estimated mean learning plateau was 1.2 ± 0.2 min. The estimated mean learning rate for process time was 25 ± 3 cases. Important aspects of learning curve can be estimated by fitting inverse curves for TS puncture. The study demonstrated that this technique was a simple, safe, economic, and effective approach for learning of TS puncture. Base on the statistical analysis, approximately 29 TS punctures will be needed for trainee to pass the steepest area of learning curve.

Variables associated with achievement in higher education: A systematic review of meta-analyses.

PubMed

Schneider, Michael; Preckel, Franzis

2017-06-01

The last 2 decades witnessed a surge in empirical studies on the variables associated with achievement in higher education. A number of meta-analyses synthesized these findings. In our systematic literature review, we included 38 meta-analyses investigating 105 correlates of achievement, based on 3,330 effect sizes from almost 2 million students. We provide a list of the 105 variables, ordered by the effect size, and summary statistics for central research topics. The results highlight the close relation between social interaction in courses and achievement. Achievement is also strongly associated with the stimulation of meaningful learning by presenting information in a clear way, relating it to the students, and using conceptually demanding learning tasks. Instruction and communication technology has comparably weak effect sizes, which did not increase over time. Strong moderator effects are found for almost all instructional methods, indicating that how a method is implemented in detail strongly affects achievement. Teachers with high-achieving students invest time and effort in designing the microstructure of their courses, establish clear learning goals, and employ feedback practices. This emphasizes the importance of teacher training in higher education. Students with high achievement are characterized by high self-efficacy, high prior achievement and intelligence, conscientiousness, and the goal-directed use of learning strategies. Barring the paucity of controlled experiments and the lack of meta-analyses on recent educational innovations, the variables associated with achievement in higher education are generally well investigated and well understood. By using these findings, teachers, university administrators, and policymakers can increase the effectivity of higher education. (PsycINFO Database Record (c) 2017 APA, all rights reserved).

Educating the engineers of 2020: An outcomes-based typology of engineering undergraduates

NASA Astrophysics Data System (ADS)

Knight, David B.

Members of government and industry have called for greater emphasis within U.S. colleges and universities on producing engineers who can enter and advance a more competitive, globally connected workforce. Looking toward this future, engineers will need to exhibit strong analytical skills as in the past, but they also will need to be proficient in a cadre of new abilities to compete. This study examines, in combination, an array of knowledge and skills aligned with the National Academy of Engineering's "engineer of 2020." The study has two major goals. The first is to develop a typology of engineering students based on the learning outcomes associated with the engineer of E2020. The second is to understand the educational experiences that distinguish these groups of students who resemble, more or less, the engineer of 2020. This approach acknowledges that engineering graduates need a complex skill set to succeed in the new global economy; it is the combination of skills associated with the engineer of 2020, not the individual skills in isolation, which will ensure graduates can respond to workforce needs of the future. To date, research on student outcomes has studied learning outcomes independent of one another rather than investigating student learning holistically. The study uses student data from the Prototype to production: Processes and conditions for preparing the Engineer of 2020 study, sponsored by the National Science Foundation (NSF EEC-0550608). Engineering students from a nationally representative sample of engineering programs in the United States answered a survey that collected information on their pre-college academic preparation and sociodemographic characteristics, their curricular and co-curricular experiences in their engineering programs, and their self-ratings of their engineering-related competencies. Only data on engineering students in their senior year (n=2,422) were utilized in analyses. Analyses were conducted in multiple phases for each of five engineering disciplines in the data set (biomedical/bioengineering, chemical, civil, electrical, and mechanical engineering). First, cluster analyses produced typologies (or groupings) of engineering seniors (one for each of five engineering disciplines studied and an "all engineering" analysis) based on nine self-reported learning outcomes, including fundamental skills, design skills, contextual awareness, interdisciplinary competence, and professional skills. Second, profiles of pre-college characteristics as well as student experiences in college were developed for each discipline and the five disciplines combined. Using analyses of variance, Chi-square analyses, and multinomial logistic regression, this phase also identified differences in student characteristics and college experiences between clusters of students reporting high proficiencies on the array of outcomes and students in other clusters. This second phase informed the third phase, which produced parsimonious models that used pre-college characteristics and student experience variables to predict cluster membership. As a whole, the findings demonstrate that analyses that include the full array of E2020 learning outcomes produce meaningful typologies that distinguish between groupings of students in different engineering fields. Findings demonstrate that a subset of students - the engineers of 2020 - report high skills and abilities on the full array of learning outcomes. These are the graduates sought by both the federal government and industry who most closely resemble the engineers of 2020. In addition, distinctive curricular and co-curricular experiences distinguish this E2020 group of students in each engineering discipline from other groupings of students in that same discipline. These findings have valuable implications for practice because they identify an array of discipline-specific, in- and out-of-class learning experiences that appear to promote the development of this multi-dimensional set of outcomes. Overall, however, greater curricular emphases on broad and systems perspectives in the engineering curriculum most consistently set apart the students who report high proficiencies on the E2020 outcomes. The findings also indicate that strategies for improving undergraduate engineering outcomes should be tailored by engineering discipline. The study contributes to both practice and research by developing a technique that can be used to create an outcomes-based typology that can be applied to any set of learning outcomes. Graphical representations of results consolidate large quantities of information into an easily accessible format so that findings can guide both practitioners and policymakers who seek to improve this multi-dimensional set of undergraduate engineering learning outcomes. Future directions for research, including operationalizing organizational contexts influencing E2020 learning outcomes as well as anticipated career trajectories of students across the typology, are also discussed.

Original science-based music and student learning

NASA Astrophysics Data System (ADS)

Smolinski, Keith

American middle school student science scores have been stagnating for several years, demonstrating a need for better learning strategies to aid teachers in instruction and students in content learning. It has also been suggested by researchers that music can be used to aid students in their learning and memory. Employing the theoretical framework of brain-based learning, the purpose of this study was to examine the impact of original, science-based music on student content learning and student perceptions of the music and its impact on learning. Students in the treatment group at a public middle school learned songs with lyrics related to the content of a 4-week cells unit in science; whereas an equally sized control group was taught the same material using existing methods. The content retention and learning experiences of the students in this study were examined using a concurrent triangulation, mixed-methods study. Independent sample t test and ANOVA analyses were employed to determine that the science posttest scores of students in the treatment group (N = 93) were significantly higher than the posttest scores of students in the control group (N = 93), and that the relative gains of the boys in the treatment group exceeded those of the girls. The qualitative analysis of 10 individual interviews and 3 focus group interviews followed Patton's method of a priori coding, cross checking, and thematic analysis to examine the perceptions of the treatment group. These results confirmed that the majority of the students thought the music served as an effective learning tool and enhanced recall. This study promoted social change because students and teachers gained insight into how music can be used in science classrooms to aid in the learning of science content. Researchers could also utilize the findings for continued investigation of the interdisciplinary use of music in educational settings.

Analysing Professional Discourse in Interactive Learning: Integrating Historical and Situational Perspectives

ERIC Educational Resources Information Center

Torras, Eulalia; Barbera, Elena

2010-01-01

Written environments in online learning enable professional discourse to be analysed in depth and provide greater knowledge for improving learning and for planning and delivering courses aimed at professional development. Until now, research into professional discourse has highlighted the importance of interaction in the development of…

Ubiquitous Learning Ecologies for a Critical Cyber-Citizenship

ERIC Educational Resources Information Center

Díez-Gutiérrez, Enrique; Díaz-Nafría, José-María

2018-01-01

The aim of this research is to identify and analyse the ubiquitous learning acquired through blending education settings devoted to the "lifelong training of trainers" and how these contribute to the development of a conscious, critic and engaged citizenship. Through active exploration of the learning process, the study analyses the…

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

PubMed

Furlan, Leonardo; Sterr, Annette

2018-01-01

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

How Confident can we be in Flood Risk Assessments?

NASA Astrophysics Data System (ADS)

Merz, B.

2017-12-01

Flood risk management should be based on risk analyses quantifying the risk and its reduction for different risk reduction strategies. However, validating risk estimates by comparing model simulations with past observations is hardly possible, since the assessment typically encompasses extreme events and their impacts that have not been observed before. Hence, risk analyses are strongly based on assumptions and expert judgement. This situation opens the door for cognitive biases, such as `illusion of certainty', `overconfidence' or `recency bias'. Such biases operate specifically in complex situations with many factors involved, when uncertainty is high and events are probabilistic, or when close learning feedback loops are missing - aspects that all apply to risk analyses. This contribution discusses how confident we can be in flood risk assessments, and reflects about more rigorous approaches towards their validation.

Learning to teach upper primary school algebra: changes to teachers' mathematical knowledge for teaching functional thinking

NASA Astrophysics Data System (ADS)

Wilkie, Karina J.

2016-06-01

A key aspect of learning algebra in the middle years of schooling is exploring the functional relationship between two variables: noticing and generalising the relationship, and expressing it mathematically. This article describes research on the professional learning of upper primary school teachers for developing their students' functional thinking through pattern generalisation. This aspect of algebra learning has been explicitly brought to the attention of upper primary teachers in the recently introduced Australian curriculum. Ten practising teachers participated over 1 year in a design-based research project involving a sequence of geometric pattern generalisation lessons with their classes. Initial and final survey responses and teachers' interactions in regular meetings and lessons were analysed from cognitive and situated perspectives on professional learning, using a theoretical model for the different types of knowledge needed for teaching mathematics. The teachers demonstrated an increase in certain aspects of their mathematical knowledge for teaching algebra as well as some residual issues. Implications for the professional learning of practising and pre-service teachers to develop their mathematics knowledge for teaching functional thinking, and challenges with operationalising knowledge categories for field-based research are presented.

Exploring the Learning Mechanism of Web-Based Question-Answering Systems and Their Design

ERIC Educational Resources Information Center

Zhang, Yin

2010-01-01

In recent years, a number of models concerning question-answering (QA) systems have been put forward. But many of them stress technology and neglect the research of QA itself. In this paper, we analyse the essence of QA and discuss the relationship between technology and QA. On that basis, we propose that when designing web-based QA systems, more…

Impaired associative learning with food rewards in obese women.

PubMed

Zhang, Zhihao; Manson, Kirk F; Schiller, Daniela; Levy, Ifat

2014-08-04

Obesity is a major epidemic in many parts of the world. One of the main factors contributing to obesity is overconsumption of high-fat and high-calorie food, which is driven by the rewarding properties of these types of food. Previous studies have suggested that dysfunction in reward circuits may be associated with overeating and obesity. The nature of this dysfunction, however, is still unknown. Here, we demonstrate impairment in reward-based associative learning specific to food in obese women. Normal-weight and obese participants performed an appetitive reversal learning task in which they had to learn and modify cue-reward associations. To test whether any learning deficits were specific to food reward or were more general, we used a between-subject design in which half of the participants received food reward and the other half received money reward. Our results reveal a marked difference in associative learning between normal-weight and obese women when food was used as reward. Importantly, no learning deficits were observed with money reward. Multiple regression analyses also established a robust negative association between body mass index and learning performance in the food domain in female participants. Interestingly, such impairment was not observed in obese men. These findings suggest that obesity may be linked to impaired reward-based associative learning and that this impairment may be specific to the food domain. Copyright © 2014 Elsevier Ltd. All rights reserved.

Does reflective web-based discussion strengthen nursing students' learning experiences during clinical training?

PubMed

Mettiäinen, Sari; Vähämaa, Kristiina

2013-09-01

The aim of this research was to study how a web-based discussion forum can be used as a supervision tool during nursing students' clinical training. The study emphasises peer support and its importance for the students. The empirical research was carried out at a Finnish university of applied sciences. 25 nursing students took part in web-based discussion during their eight-week clinical training period. All in all, 395 comments were submitted. The material was analysed by using categorisation and a thematic analysis process. Finally, the results were reported using a modified Salmon's (2002) 5-stage model of Teaching and Learning On-line and Mezirow's (1981) levels of reflection. The students motivated each other by sharing their feelings and experiences. They noticed the value of peer support and started to learn from each other as well. By reflecting on their experiences, the students progressed in their learning process and at the same time advanced their reflective thinking process. This combination of theoretical knowledge and practice, based on the students' needs and interests, could lead to a deeper understanding which could also result in better clinical skills. This method offers the lecturers the possibility to support and follow the professional growth process in a new evidence-based manner. Copyright © 2012 Elsevier Ltd. All rights reserved.

Human-simulation-based learning to prevent medication error: A systematic review.

PubMed

Sarfati, Laura; Ranchon, Florence; Vantard, Nicolas; Schwiertz, Vérane; Larbre, Virginie; Parat, Stéphanie; Faudel, Amélie; Rioufol, Catherine

2018-01-31

In the past 2 decades, there has been an increasing interest in simulation-based learning programs to prevent medication error (ME). To improve knowledge, skills, and attitudes in prescribers, nurses, and pharmaceutical staff, these methods enable training without directly involving patients. However, best practices for simulation for healthcare providers are as yet undefined. By analysing the current state of experience in the field, the present review aims to assess whether human simulation in healthcare helps to reduce ME. A systematic review was conducted on Medline from 2000 to June 2015, associating the terms "Patient Simulation," "Medication Errors," and "Simulation Healthcare." Reports of technology-based simulation were excluded, to focus exclusively on human simulation in nontechnical skills learning. Twenty-one studies assessing simulation-based learning programs were selected, focusing on pharmacy, medicine or nursing students, or concerning programs aimed at reducing administration or preparation errors, managing crises, or learning communication skills for healthcare professionals. The studies varied in design, methodology, and assessment criteria. Few demonstrated that simulation was more effective than didactic learning in reducing ME. This review highlights a lack of long-term assessment and real-life extrapolation, with limited scenarios and participant samples. These various experiences, however, help in identifying the key elements required for an effective human simulation-based learning program for ME prevention: ie, scenario design, debriefing, and perception assessment. The performance of these programs depends on their ability to reflect reality and on professional guidance. Properly regulated simulation is a good way to train staff in events that happen only exceptionally, as well as in standard daily activities. By integrating human factors, simulation seems to be effective in preventing iatrogenic risk related to ME, if the program is well designed. © 2018 John Wiley & Sons, Ltd.

Students' satisfaction to hybrid problem-based learning format for basic life support/advanced cardiac life support teaching.

PubMed

Chilkoti, Geetanjali; Mohta, Medha; Wadhwa, Rachna; Saxena, Ashok Kumar; Sharma, Chhavi Sarabpreet; Shankar, Neelima

2016-11-01

Students are exposed to basic life support (BLS) and advanced cardiac life support (ACLS) training in the first semester in some medical colleges. The aim of this study was to compare students' satisfaction between lecture-based traditional method and hybrid problem-based learning (PBL) in BLS/ACLS teaching to undergraduate medical students. We conducted a questionnaire-based, cross-sectional survey among 118 1 st -year medical students from a university medical college in the city of New Delhi, India. We aimed to assess the students' satisfaction between lecture-based and hybrid-PBL method in BLS/ACLS teaching. Likert 5-point scale was used to assess students' satisfaction levels between the two teaching methods. Data were collected and scores regarding the students' satisfaction levels between these two teaching methods were analysed using a two-sided paired t -test. Most students preferred hybrid-PBL format over traditional lecture-based method in the following four aspects; learning and understanding, interest and motivation, training of personal abilities and being confident and satisfied with the teaching method ( P < 0.05). Implementation of hybrid-PBL format along with the lecture-based method in BLS/ACLS teaching provided high satisfaction among undergraduate medical students.

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.

Informal interprofessional learning: visualizing the clinical workplace.

PubMed

Wagter, Judith Martine; van de Bunt, Gerhard; Honing, Marina; Eckenhausen, Marina; Scherpbier, Albert

2012-05-01

Daily collaboration of senior doctors, residents and nurses involves a major potential for sharing knowledge between professionals. Therefore, more attention needs to be paid to informal learning to create strategies and appropriate conditions for enhancing and effectuating informal learning in the workplace. The aim of this study is to visualize and describe patterns of informal interprofessional learning relations among staff in complex care. Questionnaires with four network questions - recognized as indicators of informal learning in the clinical workplace - were handed out to intensive and medium care unit (ICU/MCU) staff members (N = 108), of which 77% were completed and returned. Data were analyzed using social network analysis and Mokken scale analysis. Densities, tie strength and reciprocity of the four networks created show MCU and ICU nurses as subgroups within the ward and reveal central but relatively one-sided relations of senior doctors with nurses and residents. Based on the analyses, we formulated a scale of intensity of informal learning relations that can be used to understand and stimulate informal interprofessional learning.

Development and Validation of Cognitive Screening Instruments.

ERIC Educational Resources Information Center

Jarman, Ronald F.

The author suggests that most research on the early detection of learning disabilities is characterisized by an ineffective and a theoretical method of selecting and validating tasks. An alternative technique is proposed, based on a neurological theory of cognitive processes, whereby task analysis is a first step, with empirical analyses as…

Confronting Globalisation: Learning from Intercontinental Collaboration

ERIC Educational Resources Information Center

Larsson, Staffan; Boud, David; Dahlgren, Madeleine Abrandt; Walters, Shirley; Sork, Tom

2005-01-01

Higher education institutions are responding to globalisation in various ways. This study describes and analyses challenges encountered in a recent case of global collaboration between four universities on different continents in developing a web-based master's program. The key issue was how to develop programs in a way that is fair for the…

Intercultural Education and Communication in Second Language Interactions

ERIC Educational Resources Information Center

Baraldi, Claudio

2012-01-01

This article analyses intercultural education outcomes produced in the setting of teaching Italian as a second language (ISL) in an Italian school. Intercultural education is produced in interactions which are based on specific cultural presuppositions, i.e. expectations regarding learning, role hierarchy and evaluation of student performances.…

The Role of Teachers in Facilitating Situational Interest in an Active-Learning Classroom

ERIC Educational Resources Information Center

Rotgans, Jerome I.; Schmidt, Henk G.

2011-01-01

The study sought to explore whether interactional teacher characteristics such as social congruence, subject-matter expertise, and cognitive congruence increase situational interest in students. Correlational and path analyses were conducted on a sample of 498 polytechnic students to assess potential differences in situational interest based on…

Precursor Model and Preschool Science Learning about Shadows Formation

ERIC Educational Resources Information Center

Delserieys, Alice; Jégou, Corinne; Boilevin, Jean-Marie; Ravanis, Konstantinos

2018-01-01

Background: This work is based on the idea that young children benefit from early introduction of scientific concepts. Few researches describe didactical strategies focusing on physics understanding for young children and analyse their effectiveness in standard classroom environments. Purpose: The aim is to identify whether didactical strategies…

"Methods of Inquiry": Using Critical Thinking to Retain Students

ERIC Educational Resources Information Center

Ahuna, Kelly H.; Tinnesz, Christine Gray; VanZile-Tamsen, Carol

2011-01-01

In the late 1980s a large northeastern university implemented a critical thinking course for undergraduate students. Combining insights from cognitive psychology and philosophy, this class was designed to give students concrete strategies to promote self-regulated learning and ensure academic success. The analyses in this study are based on…

Students' Self-Evaluation and Reflection (Part 1): "Measurement"

ERIC Educational Resources Information Center

Cambra-Fierro, Jesus; Cambra-Berdun, Jesus

2007-01-01

Purpose: The objective of the paper is the development and validation of scales to assess reflective learning. Design/methodology/approach: The research is based on a literature review plus in-classroom experience. For the scale validation process, exploratory and confirmatory analyses were conducted, following proposals made by Anderson and…

Technology-Based Lesson Plans: Preparation and Description

ERIC Educational Resources Information Center

Kubilinskiene, Svetlana; Dagiene, Valentina

2010-01-01

A lesson plan is an important methodological component of the learning process. The key purpose of the article is to analyse the current situation and suggest how the information technologies can assist in the development of lesson plans, their accumulation and retrieval, thus ensuring their effective application. The authors disclose the problems…

Teachers' Views of Their Assessment Practice

ERIC Educational Resources Information Center

Atjonen, Päivi

2014-01-01

The main aim of this research was to analyse teachers' views of pupil assessment. The theoretical framework was based on existing literature on advances and challenges of pupil assessment in regard to support for learning, fairness, educational partnership, feedback, and favourable methods. The data were gathered by means of a questionnaire…

Arabidopsis Ecotypes: A Model for Course Projects in Organismal Plant Biology & Evolution

ERIC Educational Resources Information Center

Wyatt, Sarah; Ballard, Harvey E.

2007-01-01

We present an inquiry-based project using readily-available seed stocks of Arabidopsis. Seedlings are grown under simulated "common garden" conditions to test evolutionary and organismal principles. Students learn scientific method by developing hypotheses and selecting appropriate data and analyses for their experiments. Experiments can be…

Measuring Transactional Distance in Web-Based Learning Environments: An Initial Instrument Development

ERIC Educational Resources Information Center

Huang, Xiaoxia; Chandra, Aruna; DePaolo, Concetta; Cribbs, Jennifer; Simmons, Lakisha

2015-01-01

This study was an initial attempt to operationalise Moore's transactional distance theory by developing and validating an instrument measuring the related constructs: dialogue, structure, learner autonomy and transactional distance. Data were collected from 227 online students and analysed through an exploratory factor analysis. Results suggest…

Dialogic Global Studies for Multicultural Technology Assessment

ERIC Educational Resources Information Center

Durakovic, Emina; Feigl, Britta Marion; Fischer, Bettina Marion; Fleck, Christopher; Galler, Lisa-Maria; Heinrich, Johannes; Kulmer, Karin; Kurzweil, Birgitta; Scholze, Markus; Sperl, Raphael Stefan; Unterkofler, Rene; Remele, Kurt; Matzenberger, Julian; Ahamer, Gilbert

2012-01-01

Purpose: The purpose of this paper is to show a practical case of dialogic web-based learning that has provided a set of questions analysing two complex technological projects in "southern" countries with effects on multicultural equity. Design/methodology/approach: Structured online review processes in multicultural and systems science…

Teaching in High-Tech Environments: Classroom Management Revisited.

ERIC Educational Resources Information Center

Sandholtz, Judy Haymore; And Others

Based on weekly reports sent via electronic mail, correspondence between sites, and bi-monthly audiotapes from teachers, this qualitative study analyses data from 32 elementary and secondary Apple Classrooms of Tomorrow (ACOT) teachers in five schools concerning management changes that occurred in teaching and learning in the new computerized…

Generalization of Individual Differences in Second Language Learning

ERIC Educational Resources Information Center

Anjum, Amber Nasreen; Al-Othmany, Dheya Shujaa; Hussain, Ahmad

2015-01-01

This commentary is based on the analyses of the participants' responses provided in written form while filling the questionnaires. The purpose of the study was to identify and analyze factors in individuals' experiences about second language acquisition. The study was conducted through a research questionnaire. The questions were designed for…

A Coding Scheme to Analyse the Online Asynchronous Discussion Forums of University Students

ERIC Educational Resources Information Center

Biasutti, Michele

2017-01-01

The current study describes the development of a content analysis coding scheme to examine transcripts of online asynchronous discussion groups in higher education. The theoretical framework comprises the theories regarding knowledge construction in computer-supported collaborative learning (CSCL) based on a sociocultural perspective. The coding…

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.

Plastic Surgery Inclusion in the Undergraduate Medical Curriculum: Perception, Challenges, and Career Choice—A Comparative Study

PubMed Central

Vaughan, R.; Thomas, S.

2017-01-01

Objective The undergraduate medical curriculum has been overcrowded with core learning outcomes with no formal exposure to plastic surgery. The aim of this study was to compare medical students from two educational settings for the basic understanding, preferred learning method, and factors influencing a career choice in plastic surgery. Design and Setting A prospective cohort study based on a web-based anonymous questionnaire sent to final year medical students at Birmingham University (United Kingdom), McGill University (Canada), and a control group (non-medical staff). The questions were about plastic surgery: (1) source of information and basic understanding; (2) undergraduate curriculum inclusion and preferred learning methods; (3) factors influencing a career choice. A similar questionnaire was sent to non-medical staff (control group). The data was analysed based on categorical outcomes (Chi-square χ2) and level of significance p ≤ 0.05. Results Questionnaire was analysed for 243 students (Birmingham, n = 171/332, 52%) (McGill n = 72/132, 54%). Birmingham students (14%) considered the word “plastic” synonymous with “cosmetic” more than McGill students (4%, p < 0.025). Teaching was the main source of knowledge for McGill students (39%, p < 0.001) while Birmingham students and control group chose the media (70%, p < 0.001). McGill students (67%) more than Birmingham (49%, p < 0.010) considered curriculum inclusion. The preferred learning method was lectures for McGill students (61%, p < 0.01) but an optional module for Birmingham (61%). A similar proportion (18%) from both student groups considered a career in plastic surgery. Conclusions Medical students recognised the need for plastic surgery inclusion in the undergraduate curriculum. There was a difference for plastic surgery source of information, operations, and preferred method of learning for students. The study highlighted the urgent need to reform plastic surgery undergraduate teaching in collaboration with national educational bodies worldwide. PMID:28630768

Effects of Engineering Design-Based Science on Elementary School Science Students' Engineering Identity Development across Gender and Grade

NASA Astrophysics Data System (ADS)

Capobianco, Brenda M.; Yu, Ji H.; French, Brian F.

2015-04-01

The integration of engineering concepts and practices into elementary science education has become an emerging concern for science educators and practitioners, alike. Moreover, how children, specifically preadolescents (grades 1-5), engage in engineering design-based learning activities may help science educators and researchers learn more about children's earliest identification with engineering. The purpose of this study was to examine the extent to which engineering identity differed among preadolescents across gender and grade, when exposing students to engineering design-based science learning activities. Five hundred fifty preadolescent participants completed the Engineering Identity Development Scale (EIDS), a recently developed measure with validity evidence that characterizes children's conceptions of engineering and potential career aspirations. Data analyses of variance among four factors (i.e., gender, grade, and group) indicated that elementary school students who engaged in the engineering design-based science learning activities demonstrated greater improvements on the EIDS subscales compared to those in the comparison group. Specifically, students in the lower grade levels showed substantial increases, while students in the higher grade levels showed decreases. Girls, regardless of grade level and participation in the engineering learning activities, showed higher scores in the academic subscale compared to boys. These findings suggest that the integration of engineering practices in the science classroom as early as grade one shows potential in fostering and sustaining student interest, participation, and self-concept in engineering and science.

Prevalence and influences of preschoolers' sedentary behaviors in early learning centers: a cross-sectional study.

PubMed

Tucker, Patricia; Vanderloo, Leigh M; Burke, Shauna M; Irwin, Jennifer D; Johnson, Andrew M

2015-09-18

Recent research has highlighted the need for increased evidence regarding the sedentary activity levels of preschoolers. Given the large proportion of time this population spends in various early learning facilities, the exploration of sedentary behaviors within this particular environment should be a priority. The purpose of the study was two-fold: (1) to compare sedentary time of preschoolers in three different early learning environments (i.e., full-day kindergarten [FDK], center-, and home-based childcare); and (2) to assess which characteristics (i.e., staff behaviors, sedentary environment, fixed play environment, portable play environment, sedentary opportunities) of these early learning environments influence preschoolers' sedentary time. Data collection occurred between September 2011 and June 2012. Preschoolers' sedentary time was measured using Actical(™) accelerometers at a 15 s epoch. The Environment and Policy Assessment and Observation (EPAO) tool was used to assess the sedentary environment of participating early learning classrooms, and those subscales (n = 5) that were evidence-informed as potentially influencing sedentary time in early learning centers were explored in the current study. A linear mixed model ANCOVA was carried out to determine the differences in sedentary time based on type of early learning environment while direct entry regression analyses were performed to describe the relationships between sedentary time and the five sedentary-specific EPAO subscale. Preschoolers (n = 218) from 28 early learning programs (i.e., 8 FDK, 9 centre-, and 8 home-based childcare facilities) participated. Accelerometry data revealed that preschoolers attending centre-based childcare engaged in the highest rate of sedentary time (41.62 mins/hr, SD = 3.78) compared to preschoolers in home-based childcare (40.72 mins/hr, SD = 6.34) and FDK (39.68 mins/hr, SD = 3.43). The models for FDK, center-based childcare, and home-based childcare, comprised each of the five EPAO subscales accounted for 10.5%, 5.9%, and 40.78% of the variability in sedentary time, respectively. Only the models for FDK and home-based childcare were found to be statistically significant (p < .05). This is the first exploration of differences in sedentary time among preschoolers in different early learning arrangements. Findings highlight the substantial portion of the day preschoolers spend in sedentary pursuits, and subsequently, the ongoing need to reduce preschoolers' sedentary time in early learning programs, particularly among those attending centre-based childcare facilities.

An automated ranking platform for machine learning regression models for meat spoilage prediction using multi-spectral imaging and metabolic profiling.

PubMed

Estelles-Lopez, Lucia; Ropodi, Athina; Pavlidis, Dimitris; Fotopoulou, Jenny; Gkousari, Christina; Peyrodie, Audrey; Panagou, Efstathios; Nychas, George-John; Mohareb, Fady

2017-09-01

Over the past decade, analytical approaches based on vibrational spectroscopy, hyperspectral/multispectral imagining and biomimetic sensors started gaining popularity as rapid and efficient methods for assessing food quality, safety and authentication; as a sensible alternative to the expensive and time-consuming conventional microbiological techniques. Due to the multi-dimensional nature of the data generated from such analyses, the output needs to be coupled with a suitable statistical approach or machine-learning algorithms before the results can be interpreted. Choosing the optimum pattern recognition or machine learning approach for a given analytical platform is often challenging and involves a comparative analysis between various algorithms in order to achieve the best possible prediction accuracy. In this work, "MeatReg", a web-based application is presented, able to automate the procedure of identifying the best machine learning method for comparing data from several analytical techniques, to predict the counts of microorganisms responsible of meat spoilage regardless of the packaging system applied. In particularly up to 7 regression methods were applied and these are ordinary least squares regression, stepwise linear regression, partial least square regression, principal component regression, support vector regression, random forest and k-nearest neighbours. MeatReg" was tested with minced beef samples stored under aerobic and modified atmosphere packaging and analysed with electronic nose, HPLC, FT-IR, GC-MS and Multispectral imaging instrument. Population of total viable count, lactic acid bacteria, pseudomonads, Enterobacteriaceae and B. thermosphacta, were predicted. As a result, recommendations of which analytical platforms are suitable to predict each type of bacteria and which machine learning methods to use in each case were obtained. The developed system is accessible via the link: www.sorfml.com. Copyright © 2017 Elsevier Ltd. All rights reserved.

Neural network-based multiple robot simultaneous localization and mapping.

PubMed

Saeedi, Sajad; Paull, Liam; Trentini, Michael; Li, Howard

2011-12-01

In this paper, a decentralized platform for simultaneous localization and mapping (SLAM) with multiple robots is developed. Each robot performs single robot view-based SLAM using an extended Kalman filter to fuse data from two encoders and a laser ranger. To extend this approach to multiple robot SLAM, a novel occupancy grid map fusion algorithm is proposed. Map fusion is achieved through a multistep process that includes image preprocessing, map learning (clustering) using neural networks, relative orientation extraction using norm histogram cross correlation and a Radon transform, relative translation extraction using matching norm vectors, and then verification of the results. The proposed map learning method is a process based on the self-organizing map. In the learning phase, the obstacles of the map are learned by clustering the occupied cells of the map into clusters. The learning is an unsupervised process which can be done on the fly without any need to have output training patterns. The clusters represent the spatial form of the map and make further analyses of the map easier and faster. Also, clusters can be interpreted as features extracted from the occupancy grid map so the map fusion problem becomes a task of matching features. Results of the experiments from tests performed on a real environment with multiple robots prove the effectiveness of the proposed solution.

Error analysis of mathematics students who are taught by using the book of mathematics learning strategy in solving pedagogical problems based on Polya’s four-step approach

NASA Astrophysics Data System (ADS)

Halomoan Siregar, Budi; Dewi, Izwita; Andriani, Ade

2018-03-01

The purpose of this study is to analyse the types of students errors and causes of them in solving of pedagogic problems. The type of this research is qualitative descriptive, conducted on 34 students of mathematics education in academic year 2017 to 2018. The data in this study is obtained through interviews and tests. Furthermore, the data is then analyzed through three stages: 1) data reduction, 2) data description, and 3) conclusions. The data is reduced by organizing and classifying them in order to obtain meaningful information. After reducing, then the data presented in a simple form of narrative, graphics, and tables to illustrate clearly the errors of students. Based on the information then drawn a conclusion. The results of this study indicate that the students made various errors: 1) they made a mistake in answer what being asked at the problem, because they misunderstood the problem, 2) they fail to plan the learning process based on constructivism, due to lack of understanding of how to design the learning, 3) they determine an inappropriate learning tool, because they did not understand what kind of learning tool is relevant to use.

The effect of inquiry-based learning experiences on adolescents' science-related career aspiration in the Finnish context

NASA Astrophysics Data System (ADS)

Kang, Jingoo; Keinonen, Tuula

2017-08-01

Much research has been conducted to investigate the effects of inquiry-based learning on students' attitude towards science and future involvement in the science field, but few of them conducted in-depth studies including young learners' socio-cognitive background to explore mechanisms which explain how inquiry experiences influence on career choices. Hence, the aim of this study was to investigate in what ways and to what extent the inquiry learning experiences in school science affect students' future career orientation in the context of socio-cognitive mechanisms based on socio-cognitive career theory(SCCT). For the purpose, Programme for International Student Assessment (PISA) 2015 data were used focusing on science literacy, and the sample of Finnish 15-year-old students (N = 5782) was analysed by structural equation modelling with the hypothesised Inquiry-SCCT model. The results of the study showed that inquiry learning experiences were indicated as a positive predictor for the students' career aspiration, and most of its effects were mediated by outcome expectations. Indeed, although self-efficacy and interest in learning science indicated positive correlations with future aspiration, outcome expectation presented the highest correlation with the science-related career. Gender differences were found in the model, but girls indicated higher outcome expectation and career aspiration than boys in Finland.

GeoMapApp Learning Activities: Enabling the democratisation of geoscience learning

NASA Astrophysics Data System (ADS)

Goodwillie, A. M.; Kluge, S.

2011-12-01

GeoMapApp Learning Activities (http://serc.carleton.edu/geomapapp) are step-by-step guided inquiry geoscience education activities that enable students to dictate the pace of learning. They can be used in the classroom or out of class, and their guided nature means that the requirement for teacher intervention is minimised which allows students to spend increased time analysing and understanding a broad range of geoscience data, content and concepts. Based upon GeoMapApp (http://www.geomapapp.org), a free, easy-to-use map-based data exploration and visualisation tool, each activity furnishes the educator with an efficient package of downloadable documents. This includes step-by-step student instructions and answer sheet; a teacher's edition annotated worksheet containing teaching tips, additional content and suggestions for further work; quizzes for use before and after the activity to assess learning; and a multimedia tutorial. The activities can be used by anyone at any time in any place with an internet connection. In essence, GeoMapApp Learning Activities provide students with cutting-edge technology, research-quality geoscience data sets, and inquiry-based learning in a virtual lab-like environment. Examples of activities so far created are student calculation and analysis of the rate of seafloor spreading, and present-day evidence on the seafloor for huge ancient landslides around the Hawaiian islands. The activities are designed primarily for students at the community college, high school and introductory undergraduate levels, exposing students to content and concepts typically found in those settings.

The Effect of Half-year Education to Cultivate Dialogical Thinking Ability for Students in the Electrical Engineering Majors

NASA Astrophysics Data System (ADS)

Nakano, Mika; Takahara, Kenji; Kajiwara, Toshinori

This paper describes the effect of curriculum for communication ability, “Communication Theory I”, newly started in Fukuoka Institute of Technology in 2007. The purpose of this half-year course was to develop self-awareness and to improve interpersonal relationship through dialog. The program was designed, based on the Process of attitude change of students through dialogue. In the class, students were encouraged to take active role in discussion, constructing one's own argument and refuting others'. Emphasis was also placed on giving the students the opportunity to evaluate other students' discussion. Results showed differences in pre-test-post-test comparisons, confirming that learning environment for discussion could result in conceptual change for students. Further interview analyses and analyses of speech data helped to clarify what was learned through debate.

"I write to know what I think": a four-year writing curriculum.

PubMed

Lister, Elena; Kravis, Nathan; Sandberg, Larry; Halpern, Jeffrey K; Cabaniss, Deborah L; Singer, Meriamne B

2008-12-01

The four-year writing curriculum of the Columbia Center for Psychoanalytic Training and Research has as its main objective to teach candidates to learn about analysis through writing. Learning to write about analyses ultimately entails learning to clarify and then express how one thinks and functions as an analyst. Since its inception ten years ago, the program has evolved into its current structure, a stepwise approach through the years of candidate training based on a didactic method called "layering." For each level of the course, candidates' typical writing difficulties are examined, and examples given of write-ups and how they were used in teaching. The essential role of the faculty experience is also described.

Understanding the science-learning environment: A genetically sensitive approach.

PubMed

Haworth, Claire M A; Davis, Oliver S P; Hanscombe, Ken B; Kovas, Yulia; Dale, Philip S; Plomin, Robert

2013-02-01

Previous studies have shown that environmental influences on school science performance increase in importance from primary to secondary school. Here we assess for the first time the relationship between the science-learning environment and science performance using a genetically sensitive approach to investigate the aetiology of this link. 3000 pairs of 14-year-old twins from the UK Twins Early Development Study reported on their experiences of the science-learning environment and were assessed for their performance in science using a web-based test of scientific enquiry. Multivariate twin analyses were used to investigate the genetic and environmental links between environment and outcome. The most surprising result was that the science-learning environment was almost as heritable (43%) as performance on the science test (50%), and showed negligible shared environmental influence (3%). Genetic links explained most (56%) of the association between learning environment and science outcome, indicating gene-environment correlation.

Structure and strategies in children's educational television: the roles of program type and learning strategies in children's learning.

PubMed

Linebarger, Deborah L; Piotrowski, Jessica Taylor

2010-01-01

Educational TV has been consistently linked to children's learning. In this research, educational TV characteristics were identified, coded, and tested for their influence on children's program-specific comprehension and vocabulary outcomes. Study 1 details a content analysis of TV features including a program's macrostructure (i.e., narrative or expository) and learning strategies embedded in the macrostructure that support learning in print-based contexts. In Study 2, regression analyses were used to predict outcomes involving 71 second and third graders (average age=7.63 years). Strategies were categorized as organizing, rehearsing, elaborating, or affective in function. Outcomes were uniformly higher for narrative macrostructures. Strategies used in narratives predicted relatively homogenous relations across outcomes, whereas strategies in expositories predicted quite heterogeneous relations across outcomes. © 2010 The Authors. Child Development © 2010 Society for Research in Child Development, Inc.

Catecholaminergic challenge uncovers distinct Pavlovian and instrumental mechanisms of motivated (in)action.

PubMed

Swart, Jennifer C; Froböse, Monja I; Cook, Jennifer L; Geurts, Dirk Em; Frank, Michael J; Cools, Roshan; den Ouden, Hanneke Em

2017-05-15

Catecholamines modulate the impact of motivational cues on action. Such motivational biases have been proposed to reflect cue-based, 'Pavlovian' effects. Here, we assess whether motivational biases may also arise from asymmetrical instrumental learning of active and passive responses following reward and punishment outcomes. We present a novel paradigm, allowing us to disentangle the impact of reward and punishment on instrumental learning from Pavlovian response biasing. Computational analyses showed that motivational biases reflect both Pavlovian and instrumental effects: reward and punishment cues promoted generalized (in)action in a Pavlovian manner, whereas outcomes enhanced instrumental (un)learning of chosen actions. These cue- and outcome-based biases were altered independently by the catecholamine enhancer melthylphenidate. Methylphenidate's effect varied across individuals with a putative proxy of baseline dopamine synthesis capacity, working memory span. Our study uncovers two distinct mechanisms by which motivation impacts behaviour, and helps refine current models of catecholaminergic modulation of motivated action.

Teaching One Thing at a Time or Several Things Together?--Teachers Changing Their Way of Handling the Object of Learning by Being Engaged in a Theory-Based Professional Learning Community in Mathematics and Science

ERIC Educational Resources Information Center

Kullberg, Angelika; Runesson, Ulla; Marton, Ference; Vikström, Anna; Nilsson, Pernilla; Mårtensson, Pernilla; Häggström, Johan

2016-01-01

Twelve lower secondary schoolteachers in mathematics and science were asked to teach a topic of their choice during a lesson that was video-recorded. We were able to analyse 10 of the cases and we found that all of them were similar in one respect: concepts and principles were introduced one at a time, each one followed by examples of the concept…

Analyse von Unterrichtsmaterialien der Menschenrechtsbildung

NASA Astrophysics Data System (ADS)

Lenhart, Volker

2002-07-01

This article surveys five manuals on human rights education, examining and comparing them according to a set of basic categories such as the educational level of the target audience, the learning objectives and the educational content. This approach is used to establish the overall curricular orientation of the manuals. In addition, one teaching unit from each manual is selected for special analysis. Based on the results of this survey, the author argues that the tradition of moral education elaborated by Lawrence Kohlberg should be integrated into our concept of human rights teaching and learning.

Applying findings from a systematic review of workplace-based e-learning: implications for health information professionals.

PubMed

Booth, Andrew; Carroll, Christopher; Papaioannou, Diana; Sutton, Anthea; Wong, Ruth

2009-03-01

To systematically review the UK published literature on e-learning in the health workplace and to apply the findings to one of the most prolific UK e-learning initiatives in the health sector--the National Library for Health Facilitated Online Learning Interactive Opportunity (FOLIO) Programme. Sensitive searches were conducted across ASSIA, Australian Education Index, British Education Index, cinahl, CSA Abstracts, Dissertation Abstracts, Emerald, ERIC, IBSS, Index to Theses, LISA, MEDLINE, PSYCINFO and Social Science Citation Index. Additional citations were identified from reference lists of included studies and of relevant reviews; citation tracking and contact with experts. Twenty-nine studies met the inclusion criteria and were coded and analysed using thematic analysis as described by Miles & Huberman (Qualitative Data Analysis: A Sourcebook of New Methods. Newbury Park, CA: Sage, 1984). Five broad themes were identified from the 29 included studies: (i) peer communication; (ii) flexibility; (iii) support; (iv) knowledge validation; and (v) course presentation and design. These broad themes were supported by a total of eleven sub-themes. Components from the FOLIO Programme were analysed and existing and proposed developments were mapped against each sub-theme. This provides a valuable framework for ongoing course development. Librarians involved in delivering and supporting e-learning can benefit from applying the findings from the systematic review to existing programmes, exemplified by the FOLIO Programme. The resultant framework can also be used in developing new e-learning programmes.

Dental students' perception of their approaches to learning in a PBL programme.

PubMed

Haghparast, H; Ghorbani, A; Rohlin, M

2017-08-01

To compare dental students' perceptions of their learning approaches between different years of a problem-based learning (PBL) programme. The hypothesis was that in a comparison between senior and junior students, the senior students would perceive themselves as having a higher level of deep learning approach and a lower level of surface learning approach than junior students would. This hypothesis was based on the fact that senior students have longer experience of a student-centred educational context, which is supposed to underpin student learning. Students of three cohorts (first year, third year and fifth year) of a PBL-based dental programme were asked to respond to a questionnaire (R-SPQ-2F) developed to analyse students' learning approaches, that is deep approach and surface approach, using four subscales including deep strategy, surface strategy, deep motive and surface motive. The results of the three cohorts were compared using a one-way analysis of variance (ANOVA). A P-value was set at <0.05 for statistical significance. The fifth-year students demonstrated a lower surface approach than the first-year students (P = 0.020). There was a significant decrease in surface strategy from the first to the fifth year (P = 0.003). No differences were found concerning deep approach or its subscales (deep strategy and deep motive) between the mean scores of the three cohorts. The results did not show the expected increased depth in learning approaches over the programme years. © 2016 John Wiley & Sons A/S. Published by John Wiley & Sons Ltd.

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

PubMed

Pickering, James D

2017-07-01

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

Exploring Relationships between Oral Reading Fluency and Reading Comprehension amongst English Second Language Readers in South Africa

ERIC Educational Resources Information Center

Pretorius, Elizabeth J.; Spaull, Nic

2016-01-01

Most analyses of oral reading fluency (ORF) are based on L1 reading, and the norms that have been developed in English are based on first language reading data. This is problematic for developing countries where many children are learning in English as a second language. The aim of the present study is to model the relationship between English…

PyMVPA: A python toolbox for multivariate pattern analysis of fMRI data.

PubMed

Hanke, Michael; Halchenko, Yaroslav O; Sederberg, Per B; Hanson, Stephen José; Haxby, James V; Pollmann, Stefan

2009-01-01

Decoding patterns of neural activity onto cognitive states is one of the central goals of functional brain imaging. Standard univariate fMRI analysis methods, which correlate cognitive and perceptual function with the blood oxygenation-level dependent (BOLD) signal, have proven successful in identifying anatomical regions based on signal increases during cognitive and perceptual tasks. Recently, researchers have begun to explore new multivariate techniques that have proven to be more flexible, more reliable, and more sensitive than standard univariate analysis. Drawing on the field of statistical learning theory, these new classifier-based analysis techniques possess explanatory power that could provide new insights into the functional properties of the brain. However, unlike the wealth of software packages for univariate analyses, there are few packages that facilitate multivariate pattern classification analyses of fMRI data. Here we introduce a Python-based, cross-platform, and open-source software toolbox, called PyMVPA, for the application of classifier-based analysis techniques to fMRI datasets. PyMVPA makes use of Python's ability to access libraries written in a large variety of programming languages and computing environments to interface with the wealth of existing machine learning packages. We present the framework in this paper and provide illustrative examples on its usage, features, and programmability.

PyMVPA: A Python toolbox for multivariate pattern analysis of fMRI data

PubMed Central

Hanke, Michael; Halchenko, Yaroslav O.; Sederberg, Per B.; Hanson, Stephen José; Haxby, James V.; Pollmann, Stefan

2009-01-01

Decoding patterns of neural activity onto cognitive states is one of the central goals of functional brain imaging. Standard univariate fMRI analysis methods, which correlate cognitive and perceptual function with the blood oxygenation-level dependent (BOLD) signal, have proven successful in identifying anatomical regions based on signal increases during cognitive and perceptual tasks. Recently, researchers have begun to explore new multivariate techniques that have proven to be more flexible, more reliable, and more sensitive than standard univariate analysis. Drawing on the field of statistical learning theory, these new classifier-based analysis techniques possess explanatory power that could provide new insights into the functional properties of the brain. However, unlike the wealth of software packages for univariate analyses, there are few packages that facilitate multivariate pattern classification analyses of fMRI data. Here we introduce a Python-based, cross-platform, and open-source software toolbox, called PyMVPA, for the application of classifier-based analysis techniques to fMRI datasets. PyMVPA makes use of Python's ability to access libraries written in a large variety of programming languages and computing environments to interface with the wealth of existing machine-learning packages. We present the framework in this paper and provide illustrative examples on its usage, features, and programmability. PMID:19184561

How Note-Taking Instruction Changes Student's Reflections upon Their Learning Activity during a Blended Learning Course

ERIC Educational Resources Information Center

Nakayama, Minoru; Mutsuura, Kouichi; Yamamoto, Hiroh

2017-01-01

The metrics of self-efficacy and self-assessment were surveyed and analysed in order to examine the effectiveness of note taking instruction on emotional aspects of participants during a blended learning course. The changes of emotional aspects due to student's individual characteristics were also analysed. Participants were surveyed twice during…

Computer-mediated instructional video: a randomised controlled trial comparing a sequential and a segmented instructional video in surgical hand wash.

PubMed

Schittek Janda, M; Tani Botticelli, A; Mattheos, N; Nebel, D; Wagner, A; Nattestad, A; Attström, R

2005-05-01

Video-based instructions for clinical procedures have been used frequently during the preceding decades. To investigate in a randomised controlled trial the learning effectiveness of fragmented videos vs. the complete sequential video and to analyse the attitudes of the user towards video as a learning aid. An instructional video on surgical hand wash was produced. The video was available in two different forms in two separate web pages: one as a sequential video and one fragmented into eight short clips. Twenty-eight dental students in the second semester were randomised into an experimental (n = 15) and a control group (n = 13). The experimental group used the fragmented form of the video and the control group watched the complete one. The use of the videos was logged and the students were video taped whilst undertaking a test hand wash. The videos were analysed systematically and blindly by two independent clinicians. The students also performed a written test concerning learning outcome from the videos as well as they answered an attitude questionnaire. The students in the experimental group watched the video significantly longer than the control group. There were no significant differences between the groups with regard to the ratings and scores when performing the hand wash. The experimental group had significantly better results in the written test compared with those of the control group. There was no significant difference between the groups with regard to attitudes towards the use of video for learning, as measured by the Visual Analogue Scales. Most students in both groups expressed satisfaction with the use of video for learning. The students demonstrated positive attitudes and acceptable learning outcome from viewing CAL videos as a part of their pre-clinical training. Videos that are part of computer-based learning settings would ideally be presented to the students both as a segmented and as a whole video to give the students the option to choose the form of video which suits the individual student's learning style.

Applying interprofessional Team-Based Learning in patient safety: a pilot evaluation study.

PubMed

Lochner, Lukas; Girardi, Sandra; Pavcovich, Alessandra; Meier, Horand; Mantovan, Franco; Ausserhofer, Dietmar

2018-03-27

Interprofessional education (IPE) interventions are not always successful in achieving learning outcomes. Team-Based Learning (TBL) would appear to be a suitable pedagogical method for IPE, as it focuses on team performance; however, little is known about interprofessional TBL as an instructional framework for patient safety. In this pilot-study, we aimed to (1) describe participants' reactions to TBL, (2) observe their achievement with respect to interprofessional education learning objectives, and (3) document their attitudinal shifts with regard to patient safety behaviours. We developed and implemented a three-day course for pre-qualifying, non-medical healthcare students to give instruction on non-technical skills related to 'learning from errors'. The course consisted of three sequential modules: 'Recognizing Errors', 'Analysing Errors', and 'Reporting Errors'. The evaluation took place within a quasi-experimental pre-test-post-test study design. Participants completed self-assessments through valid and reliable instruments such as the Mennenga's TBL Student Assessment Instrument and the University of the West of England's Interprofessional Questionnaire. The mean scores of the individual readiness assurance tests were compared with the scores of the group readiness assurance test in order to explore if students learned from each other during group discussions. Data was analysed using descriptive (i.e. mean, standard deviation), parametric (i.e. paired t-test), and non-parametric (i.e. Wilcoxon signed-rank test) methods. Thirty-nine students from five different bachelor's programs attended the course. The participants positively rated TBL as an instructional approach. All teams outperformed the mean score of their individual members during the readiness assurance process. We observed significant improvements in 'communication and teamwork' and 'interprofessional learning' but not in 'interprofessional interaction' and 'interprofessional relationships.' Findings on safety attitudes and behaviours were mixed. TBL was well received by the students. Our first findings indicate that interprofessional TBL seems to be a promising pedagogical method to achieve patient safety learning objectives. It is crucial to develop relevant clinical cases that involve all professions. Further research with larger sample sizes (e.g. including medical students) and more rigorous study designs (e.g. pre-test post-test with a control group) is needed to confirm our preliminary findings.

Investigating the impact of a LEGO(TM)-based, engineering-oriented curriculum compared to an inquiry-based curriculum on fifth graders' content learning of simple machines

NASA Astrophysics Data System (ADS)

Marulcu, Ismail

This mixed method study examined the impact of a LEGO-based, engineering-oriented curriculum compared to an inquiry-based curriculum on fifth graders' content learning of simple machines. This study takes a social constructivist theoretical stance that science learning involves learning scientific concepts and their relations to each other. From this perspective, students are active participants, and they construct their conceptual understanding through the guidance of their teacher. With the goal of better understanding the use of engineering education materials in classrooms the National Academy of Engineering and National Research Council in the book "Engineering in K-12 Education" conducted an in-depth review of the potential benefits of including engineering in K--12 schools as (a) improved learning and achievement in science and mathematics, (b) increased awareness of engineering and the work of engineers, (c) understanding of and the ability to engage in engineering design, (d) interest in pursuing engineering as a career, and (e) increased technological literacy (Katehi, Pearson, & Feder, 2009). However, they also noted a lack of reliable data and rigorous research to support these assertions. Data sources included identical written tests and interviews, classroom observations and videos, teacher interviews, and classroom artifacts. To investigate the impact of the design-based simple machines curriculum compared to the scientific inquiry-based simple machines curriculum on student learning outcomes, I compared the control and the experimental groups' scores on the tests and interviews by using ANCOVA. To analyze and characterize the classroom observation videotapes, I used Jordan and Henderson's (1995) method and divide them into episodes. My analyses revealed that the design-based Design a People Mover: Simple Machines unit was, if not better, as successful as the inquiry-based FOSS Levers and Pulleys unit in terms of students' content learning. I also found that students in the engineering group outperformed students in the control group in regards to their ability to answer open-ended questions when interviewed. Implications for students' science content learning and teachers' professional development are discussed.

Age effects on acquisition of word stress in Spanish-English bilinguals

NASA Astrophysics Data System (ADS)

Guion, Susan G.; Clark, J. J.; Harada, Tetsuo

2003-10-01

Based on studies of syntactic and semantic learning, it has been proposed that certain aspects of second language learning may be more adversely affected by delays in language learning than others. Here, this proposal is extended to the phonological domain in which the acquisition of English word stress patterns by early (AOA <6 years) and late (AOA >14 years) Spanish-English bilinguals is investigated. The knowledge of English word stress was investigated by three behavioral tasks. In a production task, participants produced two syllable nonwords in both noun and verb sentence frames. In a perception task, participants indicated a preference for first or last syllable stress on the nonwords. Real words that were phonologically similar to the test items were also collected from each participant. Regression analyses and ANOVAs were conducted to determine the effect of syllable structure, lexical class, and stress pattern of phonologically similar words on the data from the production and perception tasks. Early bilinguals patterned similarly to the native English participants. Late bilinguals showed little evidence of learning prosodically based stress patterns but did show evidence of application of distributional patterns based on lexical class and analogy in stress assignment. [Research supported by NIH.

Understanding the effects of time on collaborative learning processes in problem based learning: a mixed methods study.

PubMed

Hommes, J; Van den Bossche, P; de Grave, W; Bos, G; Schuwirth, L; Scherpbier, A

2014-10-01

Little is known how time influences collaborative learning groups in medical education. Therefore a thorough exploration of the development of learning processes over time was undertaken in an undergraduate PBL curriculum over 18 months. A mixed-methods triangulation design was used. First, the quantitative study measured how various learning processes developed within and over three periods in the first 1,5 study years of an undergraduate curriculum. Next, a qualitative study using semi-structured individual interviews focused on detailed development of group processes driving collaborative learning during one period in seven tutorial groups. The hierarchic multilevel analyses of the quantitative data showed that a varying combination of group processes developed within and over the three observed periods. The qualitative study illustrated development in psychological safety, interdependence, potency, group learning behaviour, social and task cohesion. Two new processes emerged: 'transactive memory' and 'convergence in mental models'. The results indicate that groups are dynamic social systems with numerous contextual influences. Future research should thus include time as an important influence on collaborative learning. Practical implications are discussed.

Driving student-centred calculus: results of a comprehensive case study for Kaizen learning in the Sultanate of Oman

NASA Astrophysics Data System (ADS)

Heim, Bernhard; Rupp, Florian; Viet, Nils; Stockhausen, Paul v.; Gallenkämper, Jonas; Kreuzer, Judith

2015-04-01

The art of teaching freshmen students is undergoing a rapid paradigm change. Classical forms of teaching are not applicable any more and an unmanageable offer of new multimedia tools and concepts is glutting the market. Moreover, compared to previous courses, the class size triples. In view of these challenges, we implemented a new teaching concept best described as Kaizen learning. By Kaizen learning, we define a teaching philosophy that is based on a concise mix of short learning units (with feedback loops and tests) and of carefully chosen repetitions (also with feedback loops and tests) to calibrate a course for the students. Here, this intensive blended, student-centred learning paradigm is analysed together with its direct impact on the students' performance. This case study leads to easy-to-implement key drivers for successfully teaching science in Oman, such as (1) human-human interaction, (2) clearly communicated expectations, (3) avoidance of a short-term learning attitude, (4) a no-calculator policy, (5) continuous Kaizen learning, and (6) balanced combination of traditional teaching and e-learning.

Creating stories for learning about the neonatal care experience through the eyes of student nurses: An interpretive, narrative study.

PubMed

Petty, Julia

2017-01-01

Storytelling is an increasingly well recognised and valued platform to learn about the human experience within healthcare. Little is known however about how stories can enhance understanding in neonatal care, a specialised field offering rich opportunities for learning. This study focuses on the creation of stories based on the experiences of student nurses to inform teaching and learning strategies in the neonatal field. The study aimed to create stories from the narratives of student nurses working within the neonatal field and identify what key themes for learning emerged in order to develop a storytelling resource to share experiences with their peers. An interpretive, constructivist approach was used to collect, analyse and create stories from student nurse's experiences, in line with narrative inquiry. Six pre-registration children's nursing students were selected by purposive sampling. Interviews were undertaken within six weeks following placement completion in an agreed location. Narratives were obtained by semi-structured interviews. Narrative analysis and core story creation was undertaken to construct stories and key learning themes emerged which provided the pedagogical basis for subsequent digital resource development. Key themes emerged relating to the insight and observances of student nurses and the neonatal journey they had experienced, including the nature of neonatal care, experiences of the neonate and parents, the environment and their own learning transition. Preliminary peer evaluation of the storytelling resource revealed storytelling as an interesting and novel approach to teaching & learning, learning from ones' peers, preparation for practice and a valuable insight into a new specialist area. The study has value to teaching and learning by enabling an appreciation of how narrative can be used to portray the experiences of learners. Findings also support an approach to analysing narrative to create stories for learning and inform subsequent digital resource development. Copyright © 2016 Elsevier Ltd. All rights reserved.

Striatal and Hippocampal Entropy and Recognition Signals in Category Learning: Simultaneous Processes Revealed by Model-Based fMRI

PubMed Central

Davis, Tyler; Love, Bradley C.; Preston, Alison R.

2012-01-01

Category learning is a complex phenomenon that engages multiple cognitive processes, many of which occur simultaneously and unfold dynamically over time. For example, as people encounter objects in the world, they simultaneously engage processes to determine their fit with current knowledge structures, gather new information about the objects, and adjust their representations to support behavior in future encounters. Many techniques that are available to understand the neural basis of category learning assume that the multiple processes that subserve it can be neatly separated between different trials of an experiment. Model-based functional magnetic resonance imaging offers a promising tool to separate multiple, simultaneously occurring processes and bring the analysis of neuroimaging data more in line with category learning’s dynamic and multifaceted nature. We use model-based imaging to explore the neural basis of recognition and entropy signals in the medial temporal lobe and striatum that are engaged while participants learn to categorize novel stimuli. Consistent with theories suggesting a role for the anterior hippocampus and ventral striatum in motivated learning in response to uncertainty, we find that activation in both regions correlates with a model-based measure of entropy. Simultaneously, separate subregions of the hippocampus and striatum exhibit activation correlated with a model-based recognition strength measure. Our results suggest that model-based analyses are exceptionally useful for extracting information about cognitive processes from neuroimaging data. Models provide a basis for identifying the multiple neural processes that contribute to behavior, and neuroimaging data can provide a powerful test bed for constraining and testing model predictions. PMID:22746951

Impact of an engineering design-based curriculum compared to an inquiry-based curriculum on fifth graders' content learning of simple machines

NASA Astrophysics Data System (ADS)

Marulcu, Ismail; Barnett, Michael

2016-01-01

Background: Elementary Science Education is struggling with multiple challenges. National and State test results confirm the need for deeper understanding in elementary science education. Moreover, national policy statements and researchers call for increased exposure to engineering and technology in elementary science education. The basic motivation of this study is to suggest a solution to both improving elementary science education and increasing exposure to engineering and technology in it. Purpose/Hypothesis: This mixed-method study examined the impact of an engineering design-based curriculum compared to an inquiry-based curriculum on fifth graders' content learning of simple machines. We hypothesize that the LEGO-engineering design unit is as successful as the inquiry-based unit in terms of students' science content learning of simple machines. Design/Method: We used a mixed-methods approach to investigate our research questions; we compared the control and the experimental groups' scores from the tests and interviews by using Analysis of Covariance (ANCOVA) and compared each group's pre- and post-scores by using paired t-tests. Results: Our findings from the paired t-tests show that both the experimental and comparison groups significantly improved their scores from the pre-test to post-test on the multiple-choice, open-ended, and interview items. Moreover, ANCOVA results show that students in the experimental group, who learned simple machines with the design-based unit, performed significantly better on the interview questions. Conclusions: Our analyses revealed that the design-based Design a people mover: Simple machines unit was, if not better, as successful as the inquiry-based FOSS Levers and pulleys unit in terms of students' science content learning.

Understanding the Greenhouse Effect by Embodiment - Analysing and Using Students' and Scientists' Conceptual Resources

NASA Astrophysics Data System (ADS)

Niebert, Kai; Gropengießer, Harald

2014-01-01

Over the last 20 years, science education studies have reported that there are very different understandings among students of science regarding the key aspects of climate change. We used the cognitive linguistic framework of experientialism to shed new light on this valuable pool of studies to identify the conceptual resources of understanding climate change. In our study, we interviewed 35 secondary school students on their understanding of the greenhouse effect and analysed the conceptions of climate scientists as drawn from textbooks and research reports. We analysed all data by metaphor analysis and qualitative content analysis to gain insight into students' and scientists' resources for understanding. In our analysis, we found that students and scientists refer to the same schemata to understand the greenhouse effect. We categorised their conceptions into three different principles the conceptions are based on: warming by more input, warming by less output, and warming by a new equilibrium. By interrelating students' and scientists' conceptions, we identified the students' learning demand: First, our students were afforded with experiences regarding the interactions of electromagnetic radiation and CO2. Second, our students reflected about the experience-based schemata they use as source domains for metaphorical understanding of the greenhouse effect. By uncovering the-mostly unconscious-deployed schemata, we gave students access to their source domains. We implemented these teaching guidelines in interventions and evaluated them in teaching experiments to develop evidence-based and theory-guided learning activities on the greenhouse effect.

The impact of computer-based versus "traditional" textbook science instruction on selected student learning outcomes

NASA Astrophysics Data System (ADS)

Rothman, Alan H.

This study reports the results of research designed to examine the impact of computer-based science instruction on elementary school level students' science content achievement, their attitude about science learning, their level of critical thinking-inquiry skills, and their level of cognitive and English language development. The study compared these learning outcomes resulting from a computer-based approach compared to the learning outcomes from a traditional, textbook-based approach to science instruction. The computer-based approach was inherent in a curriculum titled The Voyage of the Mimi , published by The Bank Street College Project in Science and Mathematics (1984). The study sample included 209 fifth-grade students enrolled in three schools in a suburban school district. This sample was divided into three groups, each receiving one of the following instructional treatments: (a) Mixed-instruction primarily based on the use of a hardcopy textbook in conjunction with computer-based instructional materials as one component of the science course; (b) Non-Traditional, Technology-Based -instruction fully utilizing computer-based material; and (c) Traditional, Textbook-Based-instruction utilizing only the textbook as the basis for instruction. Pre-test, or pre-treatment, data related to each of the student learning outcomes was collected at the beginning of the school year and post-test data was collected at the end of the school year. Statistical analyses of pre-test data were used as a covariate to account for possible pre-existing differences with regard to the variables examined among the three student groups. This study concluded that non-traditional, computer-based instruction in science significantly improved students' attitudes toward science learning and their level of English language development. Non-significant, positive trends were found for the following student learning outcomes: overall science achievement and development of critical thinking-inquiry skills. These conclusions support the value of a non-traditional, computer-based approach to instruction, such as exemplified by The Voyage of the Mimi curriculum, and a recommendation for reform in science teaching that has recommended the use of computer technology to enhance learning outcomes from science instruction to assist in reversing the trend toward what has been perceived to be relatively poor science performance by American students, as documented by the 1996 Third International Mathematics and Science Study (TIMSS).

Evaluating Instrument Quality in Science Education: Rasch-Based Analyses of a Nature of Science Test

ERIC Educational Resources Information Center

Neumann, Irene; Neumann, Knut; Nehm, Ross

2011-01-01

Given the central importance of the Nature of Science (NOS) and Scientific Inquiry (SI) in national and international science standards and science learning, empirical support for the theoretical delineation of these constructs is of considerable significance. Furthermore, tests of the effects of varying magnitudes of NOS knowledge on…

Evidence of Middle School Science Assessment Practice from Classroom-Based Portfolios

ERIC Educational Resources Information Center

Kloser, Matthew; Borko, Hilda; Martinez, Jose Felipe; Stecher, Brian; Luskin, Rebecca

2017-01-01

Assessments are powerful tools for informing teachers and students about where student thinking stands with relation to a learning goal. Yet, few studies provide qualitative analyses of assessment practice across a unit. This study uses a framework of nine dimensions of effective assessment practice in science classrooms to compare more and less…

Pathways to Professional Growth: Investigating Upper Primary School Teachers' Perspectives on Learning to Teach Algebra

ERIC Educational Resources Information Center

Wilkie, Karina J.; Clarke, Doug

2015-01-01

This paper discusses upper primary school teachers' perspectives on changes to their knowledge and practice through participation in a design-based research project. It analyses their experiences using Clarke and Hollingsworth's (2002) empirically-founded model for professional growth to understand more about the mechanisms for change that might…

Student Perspectives of Web-Based Mathematics

ERIC Educational Resources Information Center

Loong, Esther Yook-Kin; Herbert, Sandra

2012-01-01

This paper presents the results of a survey conducted with students (N = 97) whose teachers have used the Web in their mathematics classes. Their responses to the use of the Internet for learning mathematics are reported here. Factor analyses were used to determine the constructs that underlie the survey. These constructs were found to be…

Flipped Classroom Research and Trends from Different Fields of Study

ERIC Educational Resources Information Center

Zainuddin, Zamzami; Halili, Siti Hajar

2016-01-01

This paper aims to analyse the trends and contents of flipped classroom research based on 20 articles that report on flipped learning classroom initiatives from 2013-2015. The content analysis was used as a methodology to investigate methodologies, area of studies, technology tools or online platforms, the most frequently used keywords and works…

Research Findings' Impact on the Representation of Proportional Reasoning in Swedish Mathematics Textbooks

ERIC Educational Resources Information Center

Ahl, Linda Marie

2016-01-01

This article investigates the impact of research findings on the representation of proportional reasoning in two commonly used Swedish mathematics textbook series for grades 7-9. A research-based framework that identifies five learning goals for understanding of proportional reasoning was used to analyse the textbooks. The results brought to…

Towards a Risk-Based Typology for Transnational Education

ERIC Educational Resources Information Center

Healey, Nigel Martin

2015-01-01

Transnational education (TNE) has been a growth area for UK universities over the last decade. The standard typology classifies TNE by the nature of the activity (i.e., distance learning, international branch campus, franchise, and validation). By analysing a large number of TNE partnerships around the world, this study reveals that the current…

Student Experiments and Teacher Tests Using EDAQ530

ERIC Educational Resources Information Center

Kopasz, Katalin; Makra, Péter; Gingl, Zoltán

2013-01-01

Experiments, as we all know, are especially important in science education. However, their impact on improving thinking could be even greater when applied together with the methods of inquiry-based learning (IBL). In this paper we present our observations of a high-school laboratory class where students used computers to carry out and analyse real…

Contradictions between and within School and University Activity Systems Helping to Explain Students' Difficulty with Advanced Mathematics

ERIC Educational Resources Information Center

Jooganah, Kamila; Williams, Julian S.

2016-01-01

This article explores how contradictions, as framed by activity theory (Engeström, 1987), can explain first-year undergraduate students' experiences of learning advanced mathematics. Analysing qualitative interview and observational data of students and lecturers based in one university mathematics department, we argue that contradictions between…

Technologies for Teaching and Learning about Box Plots and Statistical Analysis

ERIC Educational Resources Information Center

Forster, Patricia A.

2007-01-01

This paper analyses technology-based instruction on data-analysis with box plots. Examples of instruction taken from the research literature inform a study of two classes of 17 year-old students (upper secondary) in which the mathematical relationships that their teachers targeted are distinguished as being, or not being, relevant to statistical…

Authentic and Self-Directed Learning in Vocational Education: Challenges to Vocational Educators

ERIC Educational Resources Information Center

de Bruijn, Elly; Leeman, Yvonne

2011-01-01

This article analyses the dilemmas and practical tensions in implementing competence-based vocational education. Eleven case studies were conducted, including observation of lessons and interviews with teachers and students. The results show that schools meet various fundamental issues in realising this approach. A crucial question is how to…

Dance Education in the Occupied Palestinian Territories: Hegemony, Counter-Hegemony and Anti-Hegemony

ERIC Educational Resources Information Center

Rowe, Nicholas

2008-01-01

This article presents a historical, ethnographic and practice-based study of dance education in the Occupied Palestinian Territories. The concepts of dance learning, hegemony and counter-hegemony are analysed in the context of cross-cultural interventions in politically marginalized communities, and the theoretical concept of anti-hegemony is…

Young Children Reasoning about Symmetry in a Dynamic Geometry Environment

ERIC Educational Resources Information Center

Ng, Oi-Lam; Sinclair, Nathalie

2015-01-01

In this paper, we investigate children's learning of reflectional symmetry in a dynamic geometry environment. Through a classroom-based intervention involving two 1-h lessons, we analyse the changes in the children's thinking about reflectional symmetry: first, they developed dynamic and embodied ways of thinking about symmetry after working with…

What Children Learn from Questioning

ERIC Educational Resources Information Center

Harris, Paul

2015-01-01

Research shows that young children ask a multitude of why and how questions. And when they do, they're not simply trying to get adult attention; instead, they're actively seeking information. In this article, Paul Harris describes the findings of a number of research analyses based on extensive transcripts of children's natural speech. Some of the…

Measuring Learners' Attitudes toward Team Projects: Scale Development Through Exploratory And Confirmatory Factor Analyses

ERIC Educational Resources Information Center

Chyung, Seung Youn; Winiecki, Donald J.; Hunt, Gary; Sevier, Carol M.

2017-01-01

Team projects are increasingly used in engineering courses. Students may develop attitudes toward team projects from prior experience, and their attitudinal responses could influence their performance during team project-based learning in the future. Thus, instructors need to measure students' attitudes toward team projects during their learner…

Supporting Language-Minoritized Students in Science Practices within a Research-Practice Partnership

ERIC Educational Resources Information Center

Wingert, Kerri M.

2017-01-01

This dissertation investigates the design and implementation of educational change efforts focused on supporting middle-school language-minoritized students in science learning. These chapters take as their units of analyses the shared activity of a research-practice partnership, the co-design of a discourse-based intervention and its outcomes for…

A Semantic Basis for Meaning Construction in Constructivist Interactions

ERIC Educational Resources Information Center

Badie, Farshad

2015-01-01

Regarding constructivism as a learning philosophy and/or a model of knowing, a person (learner or mentor) based on her/his preconceptions and on personal knowings could actively participate in an interaction with another person (learner or mentor) in order to construct her/his personal knowledge. In this research I will analyse "meaning…

Programming by Choice: Urban Youth Learning Programming with Scratch

ERIC Educational Resources Information Center

Maloney, John; Peppler, Kylie; Kafai, Yasmin B.; Resnick, Mitchel; Rusk, Natalie

2008-01-01

This paper describes Scratch, a visual, block-based programming language designed to facilitate media manipulation for novice programmers. We report on the Scratch programming experiences of urban youth ages 8-18 at a Computer Clubhouse--an after school center--over an 18-month period. Our analyses of 536 Scratch projects collected during this…

Wearable Sensors for eLearning of Manual Tasks: Using Forearm EMG in Hand Hygiene Training

PubMed Central

Kutafina, Ekaterina; Laukamp, David; Bettermann, Ralf; Schroeder, Ulrik; Jonas, Stephan M.

2016-01-01

In this paper, we propose a novel approach to eLearning that makes use of smart wearable sensors. Traditional eLearning supports the remote and mobile learning of mostly theoretical knowledge. Here we discuss the possibilities of eLearning to support the training of manual skills. We employ forearm armbands with inertial measurement units and surface electromyography sensors to detect and analyse the user’s hand motions and evaluate their performance. Hand hygiene is chosen as the example activity, as it is a highly standardized manual task that is often not properly executed. The World Health Organization guidelines on hand hygiene are taken as a model of the optimal hygiene procedure, due to their algorithmic structure. Gesture recognition procedures based on artificial neural networks and hidden Markov modeling were developed, achieving recognition rates of 98.30% (±1.26%) for individual gestures. Our approach is shown to be promising for further research and application in the mobile eLearning of manual skills. PMID:27527167

Wearable Sensors for eLearning of Manual Tasks: Using Forearm EMG in Hand Hygiene Training.

PubMed

Kutafina, Ekaterina; Laukamp, David; Bettermann, Ralf; Schroeder, Ulrik; Jonas, Stephan M

2016-08-03

In this paper, we propose a novel approach to eLearning that makes use of smart wearable sensors. Traditional eLearning supports the remote and mobile learning of mostly theoretical knowledge. Here we discuss the possibilities of eLearning to support the training of manual skills. We employ forearm armbands with inertial measurement units and surface electromyography sensors to detect and analyse the user's hand motions and evaluate their performance. Hand hygiene is chosen as the example activity, as it is a highly standardized manual task that is often not properly executed. The World Health Organization guidelines on hand hygiene are taken as a model of the optimal hygiene procedure, due to their algorithmic structure. Gesture recognition procedures based on artificial neural networks and hidden Markov modeling were developed, achieving recognition rates of 98 . 30 % ( ± 1 . 26 % ) for individual gestures. Our approach is shown to be promising for further research and application in the mobile eLearning of manual skills.

A Bayesian Network Meta-Analysis to Synthesize the Influence of Contexts of Scaffolding Use on Cognitive Outcomes in STEM Education.

PubMed

Belland, Brian R; Walker, Andrew E; Kim, Nam Ju

2017-12-01

Computer-based scaffolding provides temporary support that enables students to participate in and become more proficient at complex skills like problem solving, argumentation, and evaluation. While meta-analyses have addressed between-subject differences on cognitive outcomes resulting from scaffolding, none has addressed within-subject gains. This leaves much quantitative scaffolding literature not covered by existing meta-analyses. To address this gap, this study used Bayesian network meta-analysis to synthesize within-subjects (pre-post) differences resulting from scaffolding in 56 studies. We generated the posterior distribution using 20,000 Markov Chain Monte Carlo samples. Scaffolding has a consistently strong effect across student populations, STEM (science, technology, engineering, and mathematics) disciplines, and assessment levels, and a strong effect when used with most problem-centered instructional models (exception: inquiry-based learning and modeling visualization) and educational levels (exception: secondary education). Results also indicate some promising areas for future scaffolding research, including scaffolding among students with learning disabilities, for whom the effect size was particularly large (ḡ = 3.13).

A Bayesian Network Meta-Analysis to Synthesize the Influence of Contexts of Scaffolding Use on Cognitive Outcomes in STEM Education

PubMed Central

Belland, Brian R.; Walker, Andrew E.; Kim, Nam Ju

2017-01-01

Computer-based scaffolding provides temporary support that enables students to participate in and become more proficient at complex skills like problem solving, argumentation, and evaluation. While meta-analyses have addressed between-subject differences on cognitive outcomes resulting from scaffolding, none has addressed within-subject gains. This leaves much quantitative scaffolding literature not covered by existing meta-analyses. To address this gap, this study used Bayesian network meta-analysis to synthesize within-subjects (pre–post) differences resulting from scaffolding in 56 studies. We generated the posterior distribution using 20,000 Markov Chain Monte Carlo samples. Scaffolding has a consistently strong effect across student populations, STEM (science, technology, engineering, and mathematics) disciplines, and assessment levels, and a strong effect when used with most problem-centered instructional models (exception: inquiry-based learning and modeling visualization) and educational levels (exception: secondary education). Results also indicate some promising areas for future scaffolding research, including scaffolding among students with learning disabilities, for whom the effect size was particularly large (ḡ = 3.13). PMID:29200508

Impact of problem-based, active learning on graduation rates for 10 generations of Dutch medical students.

PubMed

Schmidt, Henk G; Cohen-Schotanus, Janke; Arends, Lidia R

2009-03-01

We aimed to study the effects of active-learning curricula on graduation rates of students and on the length of time needed to graduate. Graduation rates for 10 generations of students enrolling in the eight Dutch medical schools between 1989 and 1998 were analysed. In addition, time needed to graduate was recorded. Three of the eight schools had curricula emphasising active learning, small-group instruction and limited numbers of lectures; the other five had conventional curricula to varying degrees. Overall, the active-learning curricula graduated on average 8% more students per year, and these students graduated on average 5 months earlier than their colleagues from conventional curricula. Four hypotheses potentially explaining the effect of active learning on graduation rate and study duration were considered: (i) active-learning curricula promote the social and academic integration of students; (ii) active-learning curricula attract brighter students; (iii) active-learning curricula retain more poor students, and (iv) the active engagement of students with their study required by active-learning curricula induces better academic performance and, hence, lower dropout rates. The first three hypotheses had to be rejected. It was concluded that the better-learning hypothesis provides the most parsimonious account for the data.

Conceptual and operational understanding of learning for sustainability: a case study of the beef industry in north-eastern Australia.

PubMed

Lankester, Ally J

2013-04-15

Extensive attention has been given to understanding learning processes that foster sustainability. Despite this focus there is still limited knowledge of learning processes that create changes in perspectives and practices. This paper aims to increase understanding of learning processes in the context of sustainability and refers to the beef industry in north-eastern Australia. A framework based on adult learning theories was developed and used to analyse the what, why and how of beef producers' learning to improve land condition. Twenty-eight producers were interviewed face-to-face and another 91 participated in a telephone survey. Most beef producers were motivated to learn due to perceived problems with existing practices and described mainly learning new skills and techniques to improve production. Beef producers main learning sources were their own experiences, observing others' practices and sharing experiences with peers and family members. Results showed that organised collective learning, adversity and active experimentation with natural resource management skills and techniques can facilitate critical reflection of practices, questioning of the self, others and cultural norms and an enhanced sense of environmental responsibility. Copyright © 2013 Elsevier Ltd. All rights reserved.

Exploring students' conceptions of science learning via drawing: a cross-sectional analysis

NASA Astrophysics Data System (ADS)

Hsieh, Wen-Min; Tsai, Chin-Chung

2017-02-01

This cross-sectional study explored students' conceptions of science learning via drawing analysis. A total of 906 Taiwanese students in 4th, 6th, 8th, 10th, and 12th grade were asked to use drawing to illustrate how they conceptualise science learning. Students' drawings were analysed using a coding checklist to determine the presence or absence of specified attributes. Data analysis showed that the majority of students pictured science learning as school-based, involving certain types of experiment or teacher lecturing. In addition, notable cross-sectional differences were found in the 'Activity' and 'Emotions and attitudes' categories in students' drawings. Three major findings were made: (1) lower grade level students conceptualised science learning with a didactic approach, while higher graders might possess a quantitative view of science learning (i.e. how much is learned, not how well it is learned), (2) students' positive and negative emotions and attitudes toward science learning reversed around middle school, and (3) female students expressed significantly more positive emotions and attitudes than their male counterparts. In conclusion, higher graders' unfruitful conceptions of science learning warrant educators' attention. Moreover, further investigation of girls' more positive emotions and attitudes found in this study is needed.

Surgical education and training in an outer metropolitan hospital: a qualitative study of surgical trainers and trainees.

PubMed

Nestel, Debra; Harlim, Jennifer; Bryant, Melanie; Rampersad, Rajay; Hunter-Smith, David; Spychal, Bob

2017-08-01

The landscape of surgical training is changing. The anticipated increase in the numbers of surgical trainees and the shift to competency-based surgical training places pressures on an already stretched health service. With these pressures in mind, we explored trainers' and trainees' experiences of surgical training in a less traditional rotation, an outer metropolitan hospital. We considered practice-based learning theories to make meaning of surgical training in this setting, in particular Actor-network theory. We adopted a qualitative approach and purposively sampled surgical trainers and trainees to participate in individual interviews and focus groups respectively. Transcripts were made and thematically analysed. Institutional human research ethics approval was obtained. Four surgical trainers and fourteen trainees participated. Almost without exception, participants' report training needs to be well met. Emergent inter-related themes were: learning as social activity; learning and programmatic factors; learning and physical infrastructure; and, learning and organizational structure. This outer metropolitan hospital is suited to the provision of surgical training with the current rotational system for trainees. The setting offers experiences that enable consolidation of learning providing a rich and varied overall surgical training program. Although relational elements of learning were paramount they occurred within a complex environment. Actor-network theory was used to give meaning to emergent themes acknowledging that actors (both people and objects) and their interactions combine to influence training quality, shifting the focus of responsibility for learning away from individuals to the complex interactions in which they work and learn.

Is Peer Interaction Necessary for Optimal Active Learning?

PubMed

Linton, Debra L; Farmer, Jan Keith; Peterson, Ernie

2014-01-01

Meta-analyses of active-learning research consistently show that active-learning techniques result in greater student performance than traditional lecture-based courses. However, some individual studies show no effect of active-learning interventions. This may be due to inexperienced implementation of active learning. To minimize the effect of inexperience, we should try to provide more explicit implementation recommendations based on research into the key components of effective active learning. We investigated the optimal implementation of active-learning exercises within a "lecture" course. Two sections of nonmajors biology were taught by the same instructor, in the same semester, using the same instructional materials and assessments. Students in one section completed in-class active-learning exercises in cooperative groups, while students in the other section completed the same activities individually. Performance on low-level, multiple-choice assessments was not significantly different between sections. However, students who worked in cooperative groups on the in-class activities significantly outperformed students who completed the activities individually on the higher-level, extended-response questions. Our results provide additional evidence that group processing of activities should be the recommended mode of implementation for in-class active-learning exercises. © 2014 D. L. Linton et al. CBE—Life Sciences Education © 2014 The American Society for Cell Biology. This article is distributed by The American Society for Cell Biology under license from the author(s). It is available to the public under an Attribution–Noncommercial–Share Alike 3.0 Unported Creative Commons License (http://creativecommons.org/licenses/by-nc-sa/3.0).

Combining Computational Modeling and Neuroimaging to Examine Multiple Category Learning Systems in the Brain

PubMed Central

Nomura, Emi M.; Reber, Paul J.

2012-01-01

Considerable evidence has argued in favor of multiple neural systems supporting human category learning, one based on conscious rule inference and one based on implicit information integration. However, there have been few attempts to study potential system interactions during category learning. The PINNACLE (Parallel Interactive Neural Networks Active in Category Learning) model incorporates multiple categorization systems that compete to provide categorization judgments about visual stimuli. Incorporating competing systems requires inclusion of cognitive mechanisms associated with resolving this competition and creates a potential credit assignment problem in handling feedback. The hypothesized mechanisms make predictions about internal mental states that are not always reflected in choice behavior, but may be reflected in neural activity. Two prior functional magnetic resonance imaging (fMRI) studies of category learning were re-analyzed using PINNACLE to identify neural correlates of internal cognitive states on each trial. These analyses identified additional brain regions supporting the two types of category learning, regions particularly active when the systems are hypothesized to be in maximal competition, and found evidence of covert learning activity in the “off system” (the category learning system not currently driving behavior). These results suggest that PINNACLE provides a plausible framework for how competing multiple category learning systems are organized in the brain and shows how computational modeling approaches and fMRI can be used synergistically to gain access to cognitive processes that support complex decision-making machinery. PMID:24962771

Use of web based systems to support postgraduate medical education.

PubMed

Tochel, C; Beggs, K; Haig, A; Roberts, J; Scott, H; Walker, K; Watson, M

2011-12-01

BACKGROUND To meet the demands of delivering the Foundation programme across a geographically diverse country, two web based systems (ePortfolio and eLearning) were developed to promote accessibility to training material and assessment tools on standardised platforms. This study evaluated the use of both tools throughout an entire academic year. METHODS All Scottish Foundation trainees' online learning and assessment data in 2007/08 were analysed, providing a national breakdown of post specialty, completion rates of mandatory assessments (including summary analysis of anonymised scores), and trainees' use of non-mandatory learning tools. Independent verification of competence data was sought from Deaneries. RESULTS There were high levels of engagement with both the ePortfolio (75-97% assessment completion) and eLearning systems (89-98% induction course completion), and the majority of trainees completed all required elements. There was extensive use of ePortfolio beyond mandatory levels for recording of learning events, including almost 20 000 personal learning records submitted by second year trainees. There was evidence that ePortfolio was used to record achievement of clinical competence rather than to track improvements towards competence (median workplace based assessment scores were 'high' or 'very high'). Online learning modules received positive feedback and its flexible format suited the trainees' working environment. External verification of formal assessment data revealed good correlation with locally stored outcomes, both indicating approximately 99% programme completion rates. CONCLUSIONS Core components of the Foundation programme have been delivered successfully to thousands of trainees across Scotland using web based systems to deliver and support education and assessment. There is great potential for further exploration of this carefully managed, rich dataset at individual, regional, and national levels to inform the future of medical education.

An Evaluation Quality Framework for Analysing School-Based Learning (SBL) to Work-Based Learning (WBL) Transition Module

NASA Astrophysics Data System (ADS)

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

2012-05-01

The paper presents the results from a quality framework to measure the effectiveness of a new engineering course entitled 'school-based learning (SBL) to work-based learning (WBL) transition module' in the Technical and Vocational Education (TVE) system in Bahrain. The framework is an extended version of existing information quality frameworks with respect to pedagogical and technological contexts. It incorporates specific pedagogical and technological dimensions as per the Bahrain modern industry requirements. Users' views questionnaire on the effectiveness of the new transition module was distributed to various stakeholders including TVE teachers and students. The aim was to receive critical information in diagnosing, monitoring and evaluating different views and perceptions about the effectiveness of the new module. The analysis categorised the quality dimensions by their relative importance. This was carried out using the principal component analysis available in SPSS. The analysis clearly identified the most important quality dimensions integrated in the new module for SBL-to-WBL transition. It was also apparent that the new module contains workplace proficiencies, prepares TVE students for work placement, provides effective teaching and learning methodologies, integrates innovative technology in the process of learning, meets modern industrial needs, and presents a cooperative learning environment for TVE students. From the principal component analysis finding, to calculate the percentage of relative importance of each factor and its quality dimensions, was significant. The percentage comparison would justify the most important factor as well as the most important quality dimensions. Also, the new, re-arranged quality dimensions from the finding with an extended number of factors tended to improve the extended version of the quality information framework to a revised quality framework.

Comparison of computer-assisted instruction (CAI) versus traditional textbook methods for training in abdominal examination (Japanese experience).

PubMed

Qayumi, A K; Kurihara, Y; Imai, M; Pachev, G; Seo, H; Hoshino, Y; Cheifetz, R; Matsuura, K; Momoi, M; Saleem, M; Lara-Guerra, H; Miki, Y; Kariya, Y

2004-10-01

This study aimed to compare the effects of computer-assisted, text-based and computer-and-text learning conditions on the performances of 3 groups of medical students in the pre-clinical years of their programme, taking into account their academic achievement to date. A fourth group of students served as a control (no-study) group. Participants were recruited from the pre-clinical years of the training programmes in 2 medical schools in Japan, Jichi Medical School near Tokyo and Kochi Medical School near Osaka. Participants were randomly assigned to 4 learning conditions and tested before and after the study on their knowledge of and skill in performing an abdominal examination, in a multiple-choice test and an objective structured clinical examination (OSCE), respectively. Information about performance in the programme was collected from school records and students were classified as average, good or excellent. Student and faculty evaluations of their experience in the study were explored by means of a short evaluation survey. Compared to the control group, all 3 study groups exhibited significant gains in performance on knowledge and performance measures. For the knowledge measure, the gains of the computer-assisted and computer-assisted plus text-based learning groups were significantly greater than the gains of the text-based learning group. The performances of the 3 groups did not differ on the OSCE measure. Analyses of gains by performance level revealed that high achieving students' learning was independent of study method. Lower achieving students performed better after using computer-based learning methods. The results suggest that computer-assisted learning methods will be of greater help to students who do not find the traditional methods effective. Explorations of the factors behind this are a matter for future research.

Training, Simulation, the Learning Curve, and How to Reduce Complications in Urology.

PubMed

Brunckhorst, Oliver; Volpe, Alessandro; van der Poel, Henk; Mottrie, Alexander; Ahmed, Kamran

2016-04-01

Urology is at the forefront of minimally invasive surgery to a great extent. These procedures produce additional learning challenges and possess a steep initial learning curve. Training and assessment methods in surgical specialties such as urology are known to lack clear structure and often rely on differing operative flow experienced by individuals and institutions. This article aims to assess current urology training modalities, to identify the role of simulation within urology, to define and identify the learning curves for various urologic procedures, and to discuss ways to decrease complications in the context of training. A narrative review of the literature was conducted through December 2015 using the PubMed/Medline, Embase, and Cochrane Library databases. Evidence of the validity of training methods in urology includes observation of a procedure, mentorship and fellowship, e-learning, and simulation-based training. Learning curves for various urologic procedures have been recommended based on the available literature. The importance of structured training pathways is highlighted, with integration of modular training to ensure patient safety. Valid training pathways are available in urology. The aim in urology training should be to combine all of the available evidence to produce procedure-specific curricula that utilise the vast array of training methods available to ensure that we continue to improve patient outcomes and reduce complications. The current evidence for different training methods available in urology, including simulation-based training, was reviewed, and the learning curves for various urologic procedures were critically analysed. Based on the evidence, future pathways for urology curricula have been suggested to ensure that patient safety is improved. Copyright © 2016 European Association of Urology. Published by Elsevier B.V. All rights reserved.

Schools as Environments for Social Learning--Shaping Mechanisms? Comparisons of Smaller and Larger Rural Schools in Norway

ERIC Educational Resources Information Center

Kvalsund, Rune

2004-01-01

This article analyses and compares the learning environment in smaller and bigger rural schools by focusing on the arenas of both formal and informal learning; the lessons and the recesses between. Relational patterns are both analysed using complete network data from 19 schools in four different municipalities in four Norwegian counties and by…

Analytical Tools for Affordability Analysis

DTIC Science & Technology

2015-05-01

function (Womer)  Unit cost as a function of learning and rate  Learning with forgetting (Benkard)  Learning depreciates over time  Discretionary...Analytical Tools for Affordability Analysis David Tate Cost Analysis and Research Division Institute for Defense Analyses Report Documentation...ES) Institute for Defense Analyses, Cost Analysis and Research Division,4850 Mark Center Drive,Alexandria,VA,22311-1882 8. PERFORMING ORGANIZATION

People use the memory for past-test heuristic as an explicit cue for judgments of learning.

PubMed

Serra, Michael J; Ariel, Robert

2014-11-01

When people estimate their memory for to-be-learned material over multiple study-test trials, they tend to base their judgments of learning (JOLs) on their test performance for those materials on the previous trial. Their use of this information-known as the memory for past-test (MPT) heuristic-is believed to be responsible for improvements in the relative accuracy (resolution) of people's JOLs across learning trials. Although participants seem to use past-test information as a major basis for their JOLs, little is known about how learners translate this information into a judgment of learning. Toward this end, in two experiments, we examined whether participants factored past-test performance into their JOLs in either an explicit, theory-based way or an implicit way. To do so, we had one group of participants (learners) study paired associates, make JOLs, and take a test on two study-test trials. Other participants (observers) viewed learners' protocols and made JOLs for the learners. Presumably, observers could only use theory-based information to make JOLs for the learners, which allowed us to estimate the contribution of explicit and implicit information to learners' JOLs. Our analyses suggest that all participants factored simple past-test performance into their JOLs in an explicit, theory-based way but that this information made limited contributions to improvements in relative accuracy across trials. In contrast, learners also used other privileged, implicit information about their learning to inform their judgments (that observers had no access to) that allowed them to achieve further improvements in relative accuracy across trials.

Aminergic neuromodulation of associative visual learning in harnessed honey bees.

PubMed

Mancini, Nino; Giurfa, Martin; Sandoz, Jean-Christophe; Avarguès-Weber, Aurore

2018-05-21

The honey bee Apis mellifera is a major insect model for studying visual cognition. Free-flying honey bees learn to associate different visual cues with a sucrose reward and may deploy sophisticated cognitive strategies to this end. Yet, the neural bases of these capacities cannot be studied in flying insects. Conversely, immobilized bees are accessible to neurobiological investigation but training them to respond appetitively to visual stimuli paired with sucrose reward is difficult. Here we succeeded in coupling visual conditioning in harnessed bees with pharmacological analyses on the role of octopamine (OA), dopamine (DA) and serotonin (5-HT) in visual learning. We also studied if and how these biogenic amines modulate sucrose responsiveness and phototaxis behaviour as intact reward and visual perception are essential prerequisites for appetitive visual learning. Our results suggest that both octopaminergic and dopaminergic signaling mediate either the appetitive sucrose signaling or the association between color and sucrose reward in the bee brain. Enhancing and inhibiting serotonergic signaling both compromised learning performances, probably via an impairment of visual perception. We thus provide a first analysis of the role of aminergic signaling in visual learning and retention in the honey bee and discuss further research trends necessary to understand the neural bases of visual cognition in this insect. Copyright © 2018 Elsevier Inc. All rights reserved.

Preferred strategies for workforce development: feedback from aged care workers.

PubMed

Choy, Sarojni; Henderson, Amanda

2016-11-01

Objective The aim of the present study was to investigate how aged care workers prefer to learn and be supported in continuing education and training activities. Methods Fifty-one workers in aged care facilities from metropolitan and rural settings across two states of Australia participated in a survey and interviews. Survey responses were analysed for frequencies and interview data provided explanations to the survey findings. Results The three most common ways workers were currently learning and prefer to continue to learn are: (1) everyday learning through work individually; (2) everyday learning through work individually assisted by other workers; and (3) everyday learning plus group training courses at work from the employer. The three most common types of provisions that supported workers in their learning were: (1) working and sharing with another person on the job; (2) direct teaching in a group (e.g. a trainer in a classroom at work); and (3) direct teaching by a workplace expert. Conclusions A wholly practice-based continuing education and training model is best suited for aged care workers. Two variations of this model could be considered: (1) a wholly practice-based model for individual learning; and (2) a wholly practice-based model with guidance from coworkers or other experts. Although the model is preferred by workers and convenient for employers, it needs to be well resourced. What is known about the topic? Learning needs for aged care workers are increasing significantly because of an aging population that demands more care workers. Workforce development is largely 'episodic', based on organisational requirements rather than systematic life-long learning. This study is part of a larger 3-year Australian research to investigate models of continuing education training. What does this paper add? Based on an analysis of survey and interview data from 51 workers, the present study suggests effective models of workforce development for aged care workers. What are the implications for practitioners? The effectiveness of the suggested models necessitates a culture where aged care workers' advancement in the workplace is valued and supported. Those responsible for the development of these workers need to be adequately prepared for mentoring and coaching in the workplace.

Evaluation of a Web-Based Social Network Electronic Game in Enhancing Mental Health Literacy for Young People

PubMed Central

Li, Tim MH; Wong, Paul WC; Lai, Eliza SY; Yip, Paul SF

2013-01-01

Background Internet-based learning programs provide people with massive health care information and self-help guidelines on improving their health. The advent of Web 2.0 and social networks renders significant flexibility to embedding highly interactive components, such as games, to foster learning processes. The effectiveness of game-based learning on social networks has not yet been fully evaluated. Objectives The aim of this study was to assess the effectiveness of a fully automated, Web-based, social network electronic game on enhancing mental health knowledge and problem-solving skills of young people. We investigated potential motivational constructs directly affecting the learning outcome. Gender differences in learning outcome and motivation were also examined. Methods A pre/posttest design was used to evaluate the fully automated Web-based intervention. Participants, recruited from a closed online user group, self-assessed their mental health literacy and motivational constructs before and after completing the game within a 3-week period. The electronic game was designed according to cognitive-behavioral approaches. Completers and intent-to-treat analyses, using multiple imputation for missing data, were performed. Regression analysis with backward selection was employed when examining the relationship between knowledge enhancement and motivational constructs. Results The sample included 73 undergraduates (42 females) for completers analysis. The gaming approach was effective in enhancing young people’s mental health literacy (d=0.65). The finding was also consistent with the intent-to-treat analysis, which included 127 undergraduates (75 females). No gender differences were found in learning outcome (P=.97). Intrinsic goal orientation was the primary factor in learning motivation, whereas test anxiety was successfully alleviated in the game setting. No gender differences were found on any learning motivation subscales (P>.10). We also found that participants’ self-efficacy for learning and performance, as well as test anxiety, significantly affected their learning outcomes, whereas other motivational subscales were statistically nonsignificant. Conclusions Electronic games implemented through social networking sites appear to effectively enhance users’ mental health literacy. PMID:23676714

Using deep belief network modelling to characterize differences in brain morphometry in schizophrenia

PubMed Central

Pinaya, Walter H. L.; Gadelha, Ary; Doyle, Orla M.; Noto, Cristiano; Zugman, André; Cordeiro, Quirino; Jackowski, Andrea P.; Bressan, Rodrigo A.; Sato, João R.

2016-01-01

Neuroimaging-based models contribute to increasing our understanding of schizophrenia pathophysiology and can reveal the underlying characteristics of this and other clinical conditions. However, the considerable variability in reported neuroimaging results mirrors the heterogeneity of the disorder. Machine learning methods capable of representing invariant features could circumvent this problem. In this structural MRI study, we trained a deep learning model known as deep belief network (DBN) to extract features from brain morphometry data and investigated its performance in discriminating between healthy controls (N = 83) and patients with schizophrenia (N = 143). We further analysed performance in classifying patients with a first-episode psychosis (N = 32). The DBN highlighted differences between classes, especially in the frontal, temporal, parietal, and insular cortices, and in some subcortical regions, including the corpus callosum, putamen, and cerebellum. The DBN was slightly more accurate as a classifier (accuracy = 73.6%) than the support vector machine (accuracy = 68.1%). Finally, the error rate of the DBN in classifying first-episode patients was 56.3%, indicating that the representations learned from patients with schizophrenia and healthy controls were not suitable to define these patients. Our data suggest that deep learning could improve our understanding of psychiatric disorders such as schizophrenia by improving neuromorphometric analyses. PMID:27941946

Using deep belief network modelling to characterize differences in brain morphometry in schizophrenia

NASA Astrophysics Data System (ADS)

Pinaya, Walter H. L.; Gadelha, Ary; Doyle, Orla M.; Noto, Cristiano; Zugman, André; Cordeiro, Quirino; Jackowski, Andrea P.; Bressan, Rodrigo A.; Sato, João R.

2016-12-01

Neuroimaging-based models contribute to increasing our understanding of schizophrenia pathophysiology and can reveal the underlying characteristics of this and other clinical conditions. However, the considerable variability in reported neuroimaging results mirrors the heterogeneity of the disorder. Machine learning methods capable of representing invariant features could circumvent this problem. In this structural MRI study, we trained a deep learning model known as deep belief network (DBN) to extract features from brain morphometry data and investigated its performance in discriminating between healthy controls (N = 83) and patients with schizophrenia (N = 143). We further analysed performance in classifying patients with a first-episode psychosis (N = 32). The DBN highlighted differences between classes, especially in the frontal, temporal, parietal, and insular cortices, and in some subcortical regions, including the corpus callosum, putamen, and cerebellum. The DBN was slightly more accurate as a classifier (accuracy = 73.6%) than the support vector machine (accuracy = 68.1%). Finally, the error rate of the DBN in classifying first-episode patients was 56.3%, indicating that the representations learned from patients with schizophrenia and healthy controls were not suitable to define these patients. Our data suggest that deep learning could improve our understanding of psychiatric disorders such as schizophrenia by improving neuromorphometric analyses.

Analysing learning outcomes in an Electrical Engineering curriculum using illustrative verbs derived from Bloom's Taxonomy

NASA Astrophysics Data System (ADS)

Meda, Lawrence; Swart, Arthur James

2018-05-01

Learning outcomes are essential to any curriculum in education, where they need to be clear, observable and measurable. However, some academics structure learning outcomes in a way that does not promote student learning. The purpose of this article is to present the analyses of learning outcomes of an Electrical Engineering curriculum offered at a University of Technology in South Africa, in order to determine if academics are structuring them in a way that enables student learning. A qualitative case study is used where the learning outcomes from 33 study guides are reviewed using illustrative verbs derived from Bloom's Taxonomy. Results indicate that 9% of all the learning outcomes are unclear, 10% are unobservable and 23% are unmeasurable. A key recommendation is to provide regular workshops to assist academics in reviewing their learning outcomes using the illustrative verbs derived from Bloom's Taxonomy, thereby ensuring that their learning outcomes promote student learning.

Intellicount: High-Throughput Quantification of Fluorescent Synaptic Protein Puncta by Machine Learning

PubMed Central

Fantuzzo, J. A.; Mirabella, V. R.; Zahn, J. D.

2017-01-01

Abstract Synapse formation analyses can be performed by imaging and quantifying fluorescent signals of synaptic markers. Traditionally, these analyses are done using simple or multiple thresholding and segmentation approaches or by labor-intensive manual analysis by a human observer. Here, we describe Intellicount, a high-throughput, fully-automated synapse quantification program which applies a novel machine learning (ML)-based image processing algorithm to systematically improve region of interest (ROI) identification over simple thresholding techniques. Through processing large datasets from both human and mouse neurons, we demonstrate that this approach allows image processing to proceed independently of carefully set thresholds, thus reducing the need for human intervention. As a result, this method can efficiently and accurately process large image datasets with minimal interaction by the experimenter, making it less prone to bias and less liable to human error. Furthermore, Intellicount is integrated into an intuitive graphical user interface (GUI) that provides a set of valuable features, including automated and multifunctional figure generation, routine statistical analyses, and the ability to run full datasets through nested folders, greatly expediting the data analysis process. PMID:29218324

Pigeons acquire multiple categories in parallel via associative learning: A parallel to human word learning?

PubMed Central

Wasserman, Edward A.; Brooks, Daniel I.; McMurray, Bob

2014-01-01

Might there be parallels between category learning in animals and word learning in children? To examine this possibility, we devised a new associative learning technique for teaching pigeons to sort 128 photographs of objects into 16 human language categories. We found that pigeons learned all 16 categories in parallel, they perceived the perceptual coherence of the different object categories, and they generalized their categorization behavior to novel photographs from the training categories. More detailed analyses of the factors that predict trial-by-trial learning implicated a number of factors that may shape learning. First, we found considerable trial-by-trial dependency of pigeons’ categorization responses, consistent with several recent studies that invoke this dependency to claim that humans acquire words via symbolic or inferential mechanisms; this finding suggests that such dependencies may also arise in associative systems. Second, our trial-by-trial analyses divulged seemingly irrelevant aspects of the categorization task, like the spatial location of the report responses, which influenced learning. Third, those trial-by-trial analyses also supported the possibility that learning may be determined both by strengthening correct stimulus-response associations and by weakening incorrect stimulus-response associations. The parallel between all these findings and important aspects of human word learning suggests that associative learning mechanisms may play a much stronger part in complex human behavior than is commonly believed. PMID:25497520

All the world's a stage: evaluating psychiatry role-play based learning for medical students.

PubMed

King, Joel; Hill, Kathryn; Gleason, Andrew

2015-02-01

This paper describes an evaluation of an innovative approach, role-play based learning (RBL), as a vehicle for teaching psychiatry. The aim of this intervention, where medical students perform both doctor and patients roles, was to provide an interactive learning format that engaged students while developing clinical knowledge and communication skills in a structured, reflective environment. Questionnaires were completed by 107 students from three clinical schools of the University of Melbourne. Data were analysed using descriptive and inferential statistics and thematic content analysis. Student evaluations of the RBL sessions were overwhelmingly positive. Respondents reported improvements in engagement, confidence and empathy, as well as in their learning, and that the sessions provided good preparation for internship as well as for exams. The RBL tutorial programme is unique and flexible and could readily be adapted for use in other specialty rotations. It is also timely, given the increased interest in simulation prompted by increasing pressure on training places across the health sciences in Australia. © The Royal Australian and New Zealand College of Psychiatrists 2014.

Is a PBL curriculum a better nutrient medium for student-generated learning issues than a PBL island?

PubMed

Gehlhar, K; Wüller, A; Lieverscheidt, H; Fischer, M R; Schäfer, T

2010-12-01

Problem based learning (PBL) is often introduced in curricula in form of short segments. In the literature the value of these PBL-islands is doubted. In order to gain more insight in this curricular approach, we compared student generated learning issues, from a 7-week PBL-island introduced in a traditional curriculum (PBL-I), with the gold standard of a PBL-based model-curriculum (PBL-B) existing in parallel at the same University (Ruhr-University Bochum, Germany). Both tracks use five identical PBL-cases. Thousand seven hundred and three student-generated learning issues of 252 tutorial groups (193 PBL-I and 59 PBL-B groups with six to seven students per group) were analysed in seven different categories. Results showed that overall there were no substantial differences between both curricula. PBL-B students generated more problem-related and less basic science clinical learning issues than PBL-I students, but in both groups learning issues were related to the same number of different subjects. Furthermore, students in the PBL-curriculum tend to generate little less but slightly better phrased issues. Taken together, we found no substantial evidence with respect to student-generated learning issues that could prove that students cannot work with the PBL-method, even if it is introduced later in the curriculum and last only for a short period of time.

A Study on Teaching Gases to Prospective Primary Science Teachers Through Problem-Based Learning

NASA Astrophysics Data System (ADS)

Senocak, Erdal; Taskesenligil, Yavuz; Sozbilir, Mustafa

2007-07-01

The aim of this study was to compare the achievement of prospective primary science teachers in a problem-based curriculum with those in a conventional primary science teacher preparation program with regard to success in learning about gases and developing positive attitudes towards chemistry. The subjects of the study were 101 first year undergraduate students, who were in two different classes and who were taught by the same lecturer. One of the classes was randomly selected as the intervention group in which problem-based learning (PBL) was used, and the other as the control in which conventional teaching methods were used. The data were obtained through use of the gases diagnostic test (GDT), the chemistry attitude scale (CAS), and scales specific to students’ evaluation of PBL such as the peer evaluation scale (PES), self evaluation scale (SES), tutor’s performance evaluation scale (TPES) and students’ evaluation of PBL scale (SEPBLS). Data were analysed using SPSS 10.0 (Statistical Package for Social Sciences). In order to find out the effect of the intervention (PBL) on students’ learning of gases, independent sample t-tests and ANCOVA (analysis of co-variance) were used. The results obtained from the study showed that there was a statistically significant difference between the experimental and control groups in terms of students’ GDT total mean scores and, their attitude towards chemistry, as well as PBL has a significant effect on the development of students’ skills such as self-directed learning, cooperative learning and critical thinking.

Machine Learning Approach to Extract Diagnostic and Prognostic Thresholds: Application in Prognosis of Cardiovascular Mortality

PubMed Central

Mena, Luis J.; Orozco, Eber E.; Felix, Vanessa G.; Ostos, Rodolfo; Melgarejo, Jesus; Maestre, Gladys E.

2012-01-01

Machine learning has become a powerful tool for analysing medical domains, assessing the importance of clinical parameters, and extracting medical knowledge for outcomes research. In this paper, we present a machine learning method for extracting diagnostic and prognostic thresholds, based on a symbolic classification algorithm called REMED. We evaluated the performance of our method by determining new prognostic thresholds for well-known and potential cardiovascular risk factors that are used to support medical decisions in the prognosis of fatal cardiovascular diseases. Our approach predicted 36% of cardiovascular deaths with 80% specificity and 75% general accuracy. The new method provides an innovative approach that might be useful to support decisions about medical diagnoses and prognoses. PMID:22924062

ESD and lifelong learning: a case study of the Shangri-la Institute's current engagement with the Bazhu community in Diqing, China

NASA Astrophysics Data System (ADS)

Liu, Yunhua; Constable, Alicia

2010-06-01

This article argues that ESD should be integrated into lifelong learning and provides an example of how this might be done. It draws on a case study of a joint project between the Shangri-la Institute and the Bazhu community in Diqing, southwest China, to analyse a community-based approach to Education for Sustainable Development and assess its implications for lifelong learning. The article examines the different knowledge, skills and values needed for ESD across the life span and asserts the need for these competencies to be informed by the local context. The importance of linking ESD with local culture and indigenous knowledge is emphasised. The article goes on to propose methods for integrating ESD into lifelong learning and underscore the need for learning at the individual, institutional and societal levels in formal, non-formal and informal learning settings. It calls for institutional changes that link formal, non-formal and informal learning through the common theme of ESD, and establish platforms to share experiences, reflect on these and thereby continually improve ESD.

Translating theory into practice: integrating the affective and cognitive learning dimensions for effective instruction in engineering education

NASA Astrophysics Data System (ADS)

Alias, Maizam; Lashari, Tahira Anwar; Abidin Akasah, Zainal; Jahaya Kesot, Mohd.

2014-03-01

Learning in the cognitive domain is highly emphasised and has been widely investigated in engineering education. Lesser emphasis is placed on the affective dimension although the role of affects has been supported by research. The lack of understanding on learning theories and how they may be translated into classroom application of teaching and learning is one factor that contributes to this situation. This paper proposes a working framework for integrating the affective dimension of learning into engineering education that is expected to promote better learning within the cognitive domain. Four major learning theories namely behaviourism, cognitivism, socio-culturalism, and constructivism were analysed and how affects are postulated to influence cognition are identified. The affective domain constructs identified to be important are self-efficacy, attitude and locus of control. Based on the results of the analysis, a framework that integrates methodologies for achieving learning in the cognitive domain with the support of the affective dimension of learning is proposed. It is expected that integrated approach can be used as a guideline to engineering educators in designing effective and sustainable instructional material that would result in the effective engineers for future development.

Supporting cognitive engagement in a learning-by-doing learning environment: Case studies of participant engagement and social configurations in Kitchen Science Investigators

NASA Astrophysics Data System (ADS)

Gardner, Christina M.

Learning-by-doing learning environments support a wealth of physical engagement in activities. However, there is also a lot of variability in what participants learn in each enactment of these types of environments. Therefore, it is not always clear how participants are learning in these environments. In order to design technologies to support learning in these environments, we must have a greater understanding of how participants engage in learning activities, their goals for their engagement, and the types of help they need to cognitively engage in learning activities. To gain a greater understanding of participant engagement and factors and circumstances that promote and inhibit engagement, this dissertation explores and answers several questions: What are the types of interactions and experiences that promote and /or inhibit learning and engagement in learning-by-doing learning environments? What are the types of configurations that afford or inhibit these interactions and experiences in learning-by-doing learning environments? I explore answers to these questions through the context of two enactments of Kitchen Science Investigators (KSI), a learning-by-doing learning environment where middle-school aged children learn science through cooking from customizing recipes to their own taste and texture preferences. In small groups, they investigate effects of ingredients through the design of cooking and science experiments, through which they experience and learn about chemical, biological, and physical science phenomena and concepts (Clegg, Gardner, Williams, & Kolodner, 2006). The research reported in this dissertation sheds light on the different ways participant engagement promotes and/or inhibits cognitive engagement in by learning-by-doing learning environments through two case studies. It also provides detailed descriptions of the circumstances (social, material, and physical configurations) that promote and/or inhibit participant engagement in these learning environments through cross-case analyses of these cases. Finally, it offers suggestions about structuring activities, selecting materials and resources, and designing facilitation and software-realized scaffolding in the design of these types of learning environments. These design implications focus on affording participant engagement in science content and practices learning. Overall, the case studies, cross-case analyses, and empirically-based design implications begin to bridge the gap between theory and practice in the design and implementation of these learning environments. This is demonstrated by providing detailed and explanatory examples and factors that affect how participants take up the affordances of the learning opportunities designed into these learning environments.

Implementation literacy strategies on health technology theme Learning to enhance Indonesian Junior High School Student's Physics Literacy

NASA Astrophysics Data System (ADS)

Feranie, Selly; Efendi, Ridwan; Karim, Saeful; Sasmita, Dedi

2016-08-01

The PISA results for Indonesian Students are lowest among Asian countries in the past two successive results. Therefore various Innovations in science learning process and its effectiveness enhancing student's science literacy is needed to enrich middle school science teachers. Literacy strategies have been implemented on health technologies theme learning to enhance Indonesian Junior high school Student's Physics literacy in three different health technologies e.g. Lasik surgery that associated with application of Light and Optics concepts, Ultra Sonographer (USG) associated with application of Sound wave concepts and Work out with stationary bike and walking associated with application of motion concepts. Science learning process involves at least teacher instruction, student learning and a science curriculum. We design two main part of literacy strategies in each theme based learning. First part is Integrated Reading Writing Task (IRWT) is given to the students before learning process, the second part is scientific investigation learning process design packed in Problem Based Learning. The first part is to enhance student's science knowledge and reading comprehension and the second part is to enhance student's science competencies. We design a transformation from complexity of physics language to Middle school physics language and from an expensive and complex science investigation to a local material and simply hands on activities. In this paper, we provide briefly how literacy strategies proposed by previous works is redesigned and applied in classroom science learning. Data were analysed using t- test. The increasing value of mean scores in each learning design (with a significance level of p = 0.01) shows that the implementation of this literacy strategy revealed a significant increase in students’ physics literacy achievement. Addition analysis of Avarage normalized gain show that each learning design is in medium-g courses effectiveness category according to Hake's classification.

Cognition- and affect-based trust and feedback-seeking behavior: the roles of value, cost, and goal orientations.

PubMed

Choi, Byoung Kwon; Moon, Hyoung Koo; Nae, Eun Young

2014-01-01

We examined how subordinates' cognition- and affect-based trust in supervisors influences their feedback-seeking behavior (FSB) by considering the different cost/value perception of FSB and goal orientation (i.e., learning and performance goal orientations). Using data from 194 supervisor-subordinate dyads in South Korea, we conducted multiple regression analyses to test our hypotheses. The results showed that, whereas subordinates' cognition-based trust in supervisors positively influenced their FSB through increasing the perceived value of feedback received from supervisors, their affect-based trust in supervisors positively influenced their FSB through decreasing the perceived value of FSB. Additionally, we found that, when subordinates had high levels of learning goal orientation, the increasing influence of cognition-based trust on the value of feedback was stronger; in contrast, when subordinates had low levels of performance goal orientation, the decreasing influence of affect-based trust on the cost of FSB was stronger. The theoretical and practical implications, limitations, and suggestions for future research were discussed.

Lexical and semantic representations in the acquisition of L2 cognate and non-cognate words: evidence from two learning methods in children.

PubMed

Comesaña, Montserrat; Soares, Ana Paula; Sánchez-Casas, Rosa; Lima, Cátia

2012-08-01

How bilinguals represent words in two languages and which mechanisms are responsible for second language acquisition are important questions in the bilingual and vocabulary acquisition literature. This study aims to analyse the effect of two learning methods (picture- vs. word-based method) and two types of words (cognates and non-cognates) in early stages of children's L2 acquisition. Forty-eight native speakers of European Portuguese, all sixth graders (mean age = 10.87 years; SD= 0.85), participated in the study. None of them had prior knowledge of Basque (the L2 in this study). After a learning phase in which L2 words were learned either by a picture- or a word-based method, children were tested in a backward-word translation recognition task at two times (immediately vs. one week later). Results showed that the participants made more errors when rejecting semantically related than semantically unrelated words as correct translations (semantic interference effect). The magnitude of this effect was higher in the delayed test condition regardless of the learning method. Moreover, the overall performance of participants from the word-based method was better than the performance of participants from the picture-word method. Results were discussed concerning the most significant bilingual lexical processing models. ©2011 The British Psychological Society.

Incrementally learning objects by touch: online discriminative and generative models for tactile-based recognition.

PubMed

Soh, Harold; Demiris, Yiannis

2014-01-01

Human beings not only possess the remarkable ability to distinguish objects through tactile feedback but are further able to improve upon recognition competence through experience. In this work, we explore tactile-based object recognition with learners capable of incremental learning. Using the sparse online infinite Echo-State Gaussian process (OIESGP), we propose and compare two novel discriminative and generative tactile learners that produce probability distributions over objects during object grasping/palpation. To enable iterative improvement, our online methods incorporate training samples as they become available. We also describe incremental unsupervised learning mechanisms, based on novelty scores and extreme value theory, when teacher labels are not available. We present experimental results for both supervised and unsupervised learning tasks using the iCub humanoid, with tactile sensors on its five-fingered anthropomorphic hand, and 10 different object classes. Our classifiers perform comparably to state-of-the-art methods (C4.5 and SVM classifiers) and findings indicate that tactile signals are highly relevant for making accurate object classifications. We also show that accurate "early" classifications are possible using only 20-30 percent of the grasp sequence. For unsupervised learning, our methods generate high quality clusterings relative to the widely-used sequential k-means and self-organising map (SOM), and we present analyses into the differences between the approaches.

Motion sensors in mathematics teaching: learning tools for understanding general math concepts?

NASA Astrophysics Data System (ADS)

Urban-Woldron, Hildegard

2015-05-01

Incorporating technology tools into the mathematics classroom adds a new dimension to the teaching of mathematics concepts and establishes a whole new approach to mathematics learning. In particular, gathering data in a hands-on and real-time method helps classrooms coming alive. The focus of this paper is on bringing forward important mathematics concepts such as functions and rate of change with the motion detector. Findings from the author's studies suggest that the motion detector can be introduced from a very early age and used to enliven classes at any level. Using real-world data to present the main functions invites an experimental approach to mathematics and encourages students to engage actively in their learning. By emphasizing learning experiences with computer-based motion detectors and aiming to involve students in mathematical representations of real-world phenomena, six learning activities, which were developed in previous research studies, will be presented. Students use motion sensors to collect physical data that are graphed in real time and then manipulate and analyse them. Because data are presented in an immediately understandable graphical form, students are allowed to take an active role in their learning by constructing mathematical knowledge from observation of the physical world. By utilizing a predict-observe-explain format, students learn about slope, determining slope and distance vs. time graphs through motion-filled activities. Furthermore, exploring the meaning of slope, viewed as the rate of change, students acquire competencies for reading, understanding and interpreting kinematics graphs involving a multitude of mathematical representations. Consequently, the students are empowered to efficiently move among tabular, graphical and symbolic representation to analyse patterns and discover the relationships between different representations of motion. In fact, there is a need for further research to explore how mathematics teachers can integrate motion sensors into their classrooms.

`Learning Experience' Provided by Science Teaching Practice in a Classroom and the Development of Students' Competences

NASA Astrophysics Data System (ADS)

Lopes, J. Bernardino; Branco, Julia; Jimenez-Aleixandre, Maria Pilar

2011-11-01

According to the literature, there is a very important corpus of knowledge that allows for the investigation of some dimensions of `learning experience' provided to students, in relation to epistemic, pedagogical and meta-cognitive practices. However, in the literature, there is little investigation into the invariance (or not) of the characteristics of students' learning experience while being taught a scientific subject by the same teacher. This paper suggests that the relationship between the learning experience provided and the competences developed is not properly highlighted. This paper analyses the learning experience provided to students in epistemic, pedagogical and meta-cognitive terms. The students were taught the proprieties and applications of light by one teacher, in three classes, over 7 weeks. We analysed the data in each referred learning experience, using a pre-defined category system. The students' competences were evaluated by a competence test. The epistemic demand of each item and the students' performances were also analysed. Our findings point to the non invariance of learning experiences provided to students and the influence of some dimensions of learning experiences provided in the development of certain competences. These findings and their implications are contextualized and discussed.

Exploring viewing behavior data from whole slide images to predict correctness of students' answers during practical exams in oral pathology.

PubMed

Walkowski, Slawomir; Lundin, Mikael; Szymas, Janusz; Lundin, Johan

2015-01-01

The way of viewing whole slide images (WSI) can be tracked and analyzed. In particular, it can be useful to learn how medical students view WSIs during exams and how their viewing behavior is correlated with correctness of the answers they give. We used software-based view path tracking method that enabled gathering data about viewing behavior of multiple simultaneous WSI users. This approach was implemented and applied during two practical exams in oral pathology in 2012 (88 students) and 2013 (91 students), which were based on questions with attached WSIs. Gathered data were visualized and analyzed in multiple ways. As a part of extended analysis, we tried to use machine learning approaches to predict correctness of students' answers based on how they viewed WSIs. We compared the results of analyses for years 2012 and 2013 - done for a single question, for student groups, and for a set of questions. The overall patterns were generally consistent across these 3 years. Moreover, viewing behavior data appeared to have certain potential for predicting answers' correctness and some outcomes of machine learning approaches were in the right direction. However, general prediction results were not satisfactory in terms of precision and recall. Our work confirmed that the view path tracking method is useful for discovering viewing behavior of students analyzing WSIs. It provided multiple useful insights in this area, and general results of our analyses were consistent across two exams. On the other hand, predicting answers' correctness appeared to be a difficult task - students' answers seem to be often unpredictable.

Family learning with mobile devices in the outdoors: Designing an e-Trailguide to facilitate families' joint engagement with the natural world

NASA Astrophysics Data System (ADS)

McClain, Lucy R.

This study describes the implementation of a self-guiding mobile learning tool designed to support families' engagements with the natural world as they explored the flora and fauna along one nature trail at an environmental center. Thirty-one family groups (n = 105 individuals) participated in this study during the summer season and used an iPad-based e-Trailguide during their nature walk. Design-based research methods guided this study's design, which focused on the third iteration of the e-Trailguide. Data included evaluation of families' content knowledge gains related to the local biodiversity as revealed through post-hike interviews, while videorecords of each family's nature walk experience were also collected. Qualitative analyses focused on the design features within the e-Trailguide that supported the families' technology-mediated engagements with nature and their interactions with each other at one Discovery Spot along the nature trail. Findings include: (a) open-ended interviews after the e-Trailguide experience provided a descriptive understanding of the families' conceptual knowledge gains; (b) four place-based design features within the e-Trailguide enabled and supported families' observational, pointing, and tactile investigation engagements with the natural world; (c) parents took on teacher-like roles for their children by connecting information from the e-Trailguide to the natural objects nearby as evidenced through their frequency of pointing gestures; and (d) the development of an analytical framework related to joint observation strategies used between family members to support science-related sense making. Design recommendations for the future implementation of e-Trailguides in outdoor settings include the incorporation of place-based observational questions, place-based textual prompts for focusing observations, drawing activities to record observations, and place-based images to support identification of wildlife. Key words: family learning, engagement, mobile-based learning, outdoor learning, observation, environmental education, informal science learning.

Child-Initiated Pedagogies in Finland, Estonia and England: Exploring Young Children's Views on Decisions

ERIC Educational Resources Information Center

Robertson, Leena Helavaara; Kinos, Jarmo; Barbour, Nancy; Pukk, Maarika; Rosqvist, Leif

2015-01-01

This paper focuses on child-initiated pedagogy that is based on the process of co-construction of learning experiences between children, adults and the environment, being part of longitudinal research project that analyses child-initiated pedagogies in formal early years settings with 3-6-year-old children. Drawing on an ethnographic approach this…

Mental Constructions and Constructions of Web Sites: Learner and Teacher Points of View

ERIC Educational Resources Information Center

Hazzan, Orit

2004-01-01

This research focuses on knowledge and ways in which knowledge may be constructed in the learner's mind. Specifically, it addresses the Web as a cognitive supporter for learning, organising and constructing a new domain of knowledge. In particular, the research analyses student reflection on constructing web sites. The analysis is based on an…

Evaluations of Introducing Project-Based Design Activities in the First and Second Years of Engineering Courses

ERIC Educational Resources Information Center

Edward, Norrie S.

2004-01-01

This paper presents three evaluated case studies of the use of design activities in the early years of undergraduate engineering courses. Analyses of academic performance in these activities and in a separate test of understanding were correlated with student perceptions of the activities and with measures of learning style. General student…

Getting inside Rehearsals: Insights From Teacher Educators to Support Work on Complex Practice

ERIC Educational Resources Information Center

Kazemi, Elham; Ghousseini, Hala; Cunard, Adrian; Turrou, Angela Chan

2016-01-01

In recent years, work in practice-based teacher education has focused on identifying and elaborating how teacher educators (TEs) use pedagogies of enactment to learn in and from practice. However, research on these pedagogies is still in its early development. Building on prior analyses, this article elaborates a particular pedagogy of enactment,…

LingoBee and Social Media: Mobile Language Learners as Social Networkers

ERIC Educational Resources Information Center

Procter-Legg, Emma; Cacchione, Annamaria; Petersen, Sobah Abbas

2012-01-01

This paper presents language learners as social networkers and describes and discusses the types of users that can be identified by analysing the content created by them using a situated mobile language learning app, LingoBee, based on the idea of crowd sourcing. Borrowing ideas from other studies conducted on social network users, we can identify…

Community-Based Individual Knowledge Construction in the Classroom: A Process-Oriented Account

ERIC Educational Resources Information Center

Looi, C.-K.; Chen, W.

2010-01-01

This paper explores the process of knowledge convergence and knowledge sharing in the context of classroom collaboration in which students do a group learning activity mediated by a generic representation tool. In analysing the transcript of the interactions of a group, we adapt the group cognition method of Stahl and the uptake analysis…

Experience in Teaching OOAD to Various Students

ERIC Educational Resources Information Center

Boberic-Krsticev, Danijela; Tešendic, Danijela

2013-01-01

The paper elaborates on experiences and lessons learned from the course on object-oriented analyses and design at the Faculty of Sciences, Novi Sad. The course on OOAD is taught to students of computer science and to the students of mathematical programme. Conclusions made in this paper are based on results of students' assignments as well as…

Towards Communication and Learning Based Leadership: Observations in Finnish Public Research Organizations

ERIC Educational Resources Information Center

Saari, Eveliina; Talja, Heli

2009-01-01

Purpose: Management systems designed for the purposes of the industrial era are not sufficient to rise to the challenge of knowledge-creating organizations. This paper seeks to analyse how the motives and aims of top management and knowledge workers differ from each other. In order to avoid confrontation between managerialism and research work…

Challenges in a Physics Course: Introducing Student-Centred Activities for Increased Learning

ERIC Educational Resources Information Center

Hernandez, Carola; Ravn, Ole; Forero-Shelton, Manu

2014-01-01

This article identifies and analyses some of the challenges that arose in a development process of changing from a content-based teaching environment to a student-centred environment in an undergraduate physics course for medicine and biology students at Universidad de los Andes. Through the use of the Critical Research model proposed by Skovsmose…

Analysis of the Technology Acceptance Model in Examining Students' Behavioural Intention to Use an e-Portfolio System

ERIC Educational Resources Information Center

Shroff, Ronnie H.; Deneen, Christopher C.; Ng, Eugenia M. W.

2011-01-01

In recent years, instructors have had an increasing interest in integrating Internet based technologies into their classroom as part of the learning environment. Compared to studies on other information systems, student users' behaviour towards e-portfolios have not been assessed and thoroughly understood. This paper analyses the "Technology…

Exploring Person Fit with an Approach Based on Multilevel Logistic Regression

ERIC Educational Resources Information Center

Walker, A. Adrienne; Engelhard, George, Jr.

2015-01-01

The idea that test scores may not be valid representations of what students know, can do, and should learn next is well known. Person fit provides an important aspect of validity evidence. Person fit analyses at the individual student level are not typically conducted and person fit information is not communicated to educational stakeholders. In…

Use, Updating and Integration of ICT in Higher Education: Linking Purpose, People and Pedagogy

ERIC Educational Resources Information Center

Stensaker, Bjorn; Maassen, Peter; Borgan, Monika; Oftebro, Mette; Karseth, Berit

2007-01-01

In this article the use, updating and integration of Information and Communication Technology (ICT) for teaching and learning purposes is discussed. Based on an empirical study using interviews and document analysis of the implementation of ICT in five Norwegian universities and colleges, the article analyse a number of factors that are of…

Teaching, Learning and Assessing HRD: Findings from a BMAF/UFHRD Research Project

ERIC Educational Resources Information Center

Sambrook, Sally; Stewart, Jim

2010-01-01

Purpose: This paper seeks to analyse and explore the results of a research project, which aimed to identify recent and current research on TLA within HRD programmes. From that base the project also intended to identify areas for future research and a basis for establishing a Special Interest Group. Design/methodology/approach: A comprehensive…

Guest Worker Programs and Canada: Towards a Foundation for Understanding the Complex Pedagogies of Transnational Labour

ERIC Educational Resources Information Center

Sawchuk, Peter H.; Kempf, Arlo

2008-01-01

Purpose: The purpose of this paper is to contextualise historically transnational labour experiences within guest worker programs in Canada and to provide a conceptual foundation for analysing work, learning and living relations with special attention to agricultural workers. Design/methodology/approach: The research is based on a critical review…

Frequency Analyses of Prephonological Spellings as Predictors of Success in Conventional Spelling

ERIC Educational Resources Information Center

Kessler, Brett; Pollo, Tatiana Cury; Treiman, Rebecca; Cardoso-Martins, Claudia

2013-01-01

The present study explored how children's prephonological writing foretells differential learning outcomes in primary school. The authors asked Portuguese-speaking preschool children in Brazil (mean age 4 year 3 months) to spell 12 words. Monte Carlo tests were used to identify the 31 children whose writing was not based on spellings or sounds of…

A study of students' learning styles and mathematics anxiety amongst form four students in Kerian Perak

NASA Astrophysics Data System (ADS)

Esa, Suraya; Mohamed, Nurul Akmal

2017-05-01

This study aims to identify the relationship between students' learning styles and mathematics anxiety amongst Form Four students in Kerian, Perak. The study involves 175 Form Four students as respondents. The instrument which is used to assess the students' learning styles and mathematic anxiety is adapted from the Grasha's Learning Styles Inventory and the Mathematics Anxiety Scale (MAS) respectively. The types of learning styles used are independent, avoidant, collaborative, dependent, competitive and participant. The collected data is processed by SPSS (Statistical Packages for Social Sciences 16.0). The data is analysed by using descriptive statistics and inferential statistics that include t-test and Pearson correlation. The results show that majority of the students adopt collaborative learning style and the students have moderate level of mathematics anxiety. Moreover, it is found that there is significant difference between learning style avoidant, collaborative, dependent and participant based on gender. Amongst all students' learning style, there exists a weak but significant correlation between avoidant, independent and participant learning style and mathematics anxiety. It is very important for the teachers need to be concerned about the effects of learning styles on mathematics anxiety. Therefore, the teachers should understand mathematics anxiety and implement suitable learning strategies in order for the students to overcome their mathematics anxiety.

Comparative analysis of expert and machine-learning methods for classification of body cavity effusions in companion animals.

PubMed

Hotz, Christine S; Templeton, Steven J; Christopher, Mary M

2005-03-01

A rule-based expert system using CLIPS programming language was created to classify body cavity effusions as transudates, modified transudates, exudates, chylous, and hemorrhagic effusions. The diagnostic accuracy of the rule-based system was compared with that produced by 2 machine-learning methods: Rosetta, a rough sets algorithm and RIPPER, a rule-induction method. Results of 508 body cavity fluid analyses (canine, feline, equine) obtained from the University of California-Davis Veterinary Medical Teaching Hospital computerized patient database were used to test CLIPS and to test and train RIPPER and Rosetta. The CLIPS system, using 17 rules, achieved an accuracy of 93.5% compared with pathologist consensus diagnoses. Rosetta accurately classified 91% of effusions by using 5,479 rules. RIPPER achieved the greatest accuracy (95.5%) using only 10 rules. When the original rules of the CLIPS application were replaced with those of RIPPER, the accuracy rates were identical. These results suggest that both rule-based expert systems and machine-learning methods hold promise for the preliminary classification of body fluids in the clinical laboratory.

Information-Processing Models and Curriculum Design

ERIC Educational Resources Information Center

Calfee, Robert C.

1970-01-01

"This paper consists of three sections--(a) the relation of theoretical analyses of learning to curriculum design, (b) the role of information-processing models in analyses of learning processes, and (c) selected examples of the application of information-processing models to curriculum design problems." (Author)

Teachers' experiences of teaching in a blended learning environment.

PubMed

Jokinen, Pirkko; Mikkonen, Irma

2013-11-01

This paper considers teachers' experiences of teaching undergraduate nursing students in a blended learning environment. The basic idea of the study programme was to support students to reflect on theory and practice, and provide with access to expert and professional knowledge in real-life problem-solving and decision making. Learning was organised to support learning in and about work: students worked full-time and this provided excellent opportunities for learning both in practice, online and face-to-face sessions. The aim of the study was to describe teachers' experiences of planning and implementing teaching and learning in a blended-learning-based adult nursing programme. The research method was qualitative, and the data were collected by three focus group interviews, each with four to six participants. The data were analysed using qualitative content analysis. The results show that the blended learning environment constructed by the combination of face-to-face learning and learning in practice with technology-mediated learning creates challenges that must be taken into consideration when planning and implementing blended teaching and learning. However, it provides good opportunities to enhance students' learning in and about work. This is because such programmes support student motivation through the presence of "real-life" and their relevance to the students' own places of work. Nevertheless, teachers require knowledge of different pedagogical approaches; they need professional development support in redesigning teaching and learning. Copyright © 2013 Elsevier Ltd. All rights reserved.

A video-based learning activity is effective for preparing physiotherapy students for practical examinations.

PubMed

Weeks, Benjamin K; Horan, Sean A

2013-12-01

To examine a video-based learning activity for engaging physiotherapy students in preparation for practical examinations and determine student performance outcomes. Multi-method employing qualitative and quantitative data collection procedures. Tertiary education facility on the Gold Coast, Queensland, Australia. Physiotherapy students in their first year of a two-year graduate entry program. Questionnaire-based surveys and focus groups were used to examine student perceptions and satisfaction. Surveys were analysed based on the frequency of responses to closed questions made on a 5-pont Likert scale, while a thematic analysis was performed on focus group transcripts. t-Tests were used to compare student awarded marks and examiner awarded marks and evaluate student performance. Sixty-two physiotherapy students participated in the study. Mean response rate for questionnaires was 93% and eight students (13%) participated in the focus group. Participants found the video resources effective to support their learning (98% positive) and rating the video examples to be an effective learning activity (96% positive). Themes emergent from focus group responses were around improved understanding, reduced performance anxiety, and enjoyment. Students were, however, critical of the predictable nature of the example performances. Students in the current cohort supported by the video-based preparation activity exhibited greater practical examination marks than those from the previous year who were unsupported by the activity (mean 81.6 SD 8.7 vs. mean 78.1 SD 9.0, p=0.01). A video-based learning activity was effective for preparing physiotherapy students for practical examinations and conferred benefits of reduced anxiety and improved performance. Copyright © 2013 Chartered Society of Physiotherapy. Published by Elsevier Ltd. All rights reserved.

Poster - 27: Incident Learning Practices in Ontario

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

Angers, Crystal; Medlam, Gaylene; Liszewski, Brian

Purpose: The Radiation Incident and Safety Committee (RISC), established and supported by Cancer Care Ontario (CCO), is responsible for advising the Provincial Head of the Radiation Treatment program on matters relating to provincial reporting of radiation incidents with the goal of improved risk mitigation. Methods: The committee is made up of Radiation Incident Leads (RILs) with representation from each of the 14 radiation medicine programs in the province. RISC routinely meets to review recent critical incidents and to discuss provincial reporting processes and future directions of the committee. Regular face to face meetings have provided an excellent venue for sharingmore » incident learning practices. A summary of the incident learning practices across Ontario has been compiled. Results: Almost all programs in Ontario employ an incident learning committee to review incidents and identify corrective actions or process improvements. Tools used for incident reporting include: paper based reporting, a number of different commercial products and software solutions developed in-house. A wide range of classification schema (data taxonomies) are employed, although most have been influenced by national guidance documents. The majority of clinics perform root cause analyses but utilized methodologies vary significantly. Conclusions: Most programs in Ontario employ a committee approach to incident learning. However, the reporting tools and taxonomies in use vary greatly which represents a significant challenge to provincial reporting. RISC is preparing to adopt the National System for Incident Reporting – Radiation Therapy (NSIR-RT) which will standardize incident reporting and facilitate data analyses aimed at identifying targeted improvement initiatives.« less

Instruments to Explore Blended Learning: Modifying a Method to Analyse Online Communication for the Analysis of Face-to-Face Communication

ERIC Educational Resources Information Center

de Leng, Bas A.; Dolmans, Diana H. J. M.; Donkers, H. H. L. M.; Muijtjens, Arno M. M.; van der Vleuten, Cees P. M.

2010-01-01

In the complex practice of today's blended learning, educators need to be able to evaluate both online and face-to-face communication in order to get the full picture of what is going on in blended learning scenarios. The aim of this study was to investigate the reliability and feasibility of a practical instrument for analysing face-to-face…

The Effects of Using a Wiki on Student Engagement and Learning of Report Writing Skills in a University Statistics Course

ERIC Educational Resources Information Center

Neumann, David L.; Hood, Michelle

2009-01-01

A wiki was used as part of a blended learning approach to promote collaborative learning among students in a first year university statistics class. One group of students analysed a data set and communicated the results by jointly writing a practice report using a wiki. A second group analysed the same data but communicated the results in a…

A Nationwide Learning-Style Assessment of Undergraduate Athletic Training Students in CAAHEP-Accredited Athletic Training Programs

PubMed Central

Stradley, Stephanie L.; Buckley, Bernadette D.; Kaminski, Thomas W.; Horodyski, MaryBeth; Fleming, David; Janelle, Christopher M.

2002-01-01

Objective: To identify the learning styles and preferred environmental characteristics of undergraduate athletic training students in Commission on Accreditation of Allied Health Education Programs (CAAHEP)-accredited athletic training education programs and to determine if learning-style differences existed among geographic regions of the country. Design and Setting: Fifty CAAHEP-accredited athletic training programs were randomly selected in proportion to the number of programs in each geographic region. Ten students from each school were selected to complete the Kolb Learning Style Inventory (LSI) and the Productivity Environmental Preference Survey (PEPS). Subjects: A total of 193 undergraduate athletic training students (84 men, 109 women) with a mean age of 22.3 ± 2.8 years completed the PEPS, while 188 students completed the LSI. Measurements: We used chi-square analyses to determine if differences existed in learning-style type and if these differences were based on geographic location. We calculated analysis of variance to determine if there were any geographic differences in the mean overall combination scores of the LSI. Descriptive statistics were used to evaluate the PEPS. Results: The overall return rate was 38%. The chi-square analyses revealed no significant difference in learning-style type for athletic training students, regardless of the geographic region. The LSI yielded a relatively even distribution of learning styles: 29.3% of the students were accommodators, 19.7% were divergers, 21.8% were convergers, and 29.3% were assimilators. The overall mean combination scores were 4.9 (abstract-concrete) and 4.9 (active-reflective), and analysis of variance indicated no significant difference in the mean combination scores among the geographic regions. The PEPS revealed that undergraduate athletic training students demonstrated a strong preference for learning in the afternoon. Conclusions: Undergraduate athletic training students demonstrated great diversity in learning style. Educators must strongly consider this diversity and incorporate teaching methods that will benefit all types of learners. PMID:12937535

Dynamic adaptive learning for decision-making supporting systems

NASA Astrophysics Data System (ADS)

He, Haibo; Cao, Yuan; Chen, Sheng; Desai, Sachi; Hohil, Myron E.

2008-03-01

This paper proposes a novel adaptive learning method for data mining in support of decision-making systems. Due to the inherent characteristics of information ambiguity/uncertainty, high dimensionality and noisy in many homeland security and defense applications, such as surveillances, monitoring, net-centric battlefield, and others, it is critical to develop autonomous learning methods to efficiently learn useful information from raw data to help the decision making process. The proposed method is based on a dynamic learning principle in the feature spaces. Generally speaking, conventional approaches of learning from high dimensional data sets include various feature extraction (principal component analysis, wavelet transform, and others) and feature selection (embedded approach, wrapper approach, filter approach, and others) methods. However, very limited understandings of adaptive learning from different feature spaces have been achieved. We propose an integrative approach that takes advantages of feature selection and hypothesis ensemble techniques to achieve our goal. Based on the training data distributions, a feature score function is used to provide a measurement of the importance of different features for learning purpose. Then multiple hypotheses are iteratively developed in different feature spaces according to their learning capabilities. Unlike the pre-set iteration steps in many of the existing ensemble learning approaches, such as adaptive boosting (AdaBoost) method, the iterative learning process will automatically stop when the intelligent system can not provide a better understanding than a random guess in that particular subset of feature spaces. Finally, a voting algorithm is used to combine all the decisions from different hypotheses to provide the final prediction results. Simulation analyses of the proposed method on classification of different US military aircraft databases show the effectiveness of this method.

WFUMB Position Paper. Learning Gastrointestinal Ultrasound: Theory and Practice.

PubMed

Atkinson, Nathan S S; Bryant, Robert V; Dong, Yi; Maaser, Christian; Kucharzik, Torsten; Maconi, Giovanni; Asthana, Anil K; Blaivas, Michael; Goudie, Adrian; Gilja, Odd Helge; Nolsøe, Christian; Nürnberg, Dieter; Dietrich, Christoph F

2016-12-01

Gastrointestinal ultrasound (GIUS) is an ultrasound application that has been practiced for more than 30 years. Recently, GIUS has enjoyed a resurgence of interest, and there is now strong evidence of its utility and accuracy as a diagnostic tool for multiple indications. The method of learning GIUS is not standardised and may incorporate mentorship, didactic teaching and e-learning. Simulation, using either low- or high-fidelity models, can also play a key role in practicing and honing novice GIUS skills. A course for training as well as establishing and evaluating competency in GIUS is proposed in the manuscript, based on established learning theory practice. We describe the broad utility of GIUS in clinical medicine, including a review of the literature and existing meta-analyses. Further, the manuscript calls for agreement on international standards regarding education, training and indications. Copyright © 2016 World Federation for Ultrasound in Medicine & Biology. Published by Elsevier Inc. All rights reserved.

Assessment of a Competency-Based Undergraduate Course on Genetic and Genomics.

PubMed

Kronk, Rebecca; Colbert, Alison; Lengetti, Evelyn

2017-08-24

In response to new demands in the nursing profession, an innovative undergraduate genetics course was designed based on the Essential Nursing Competencies and Curricula Guidelines for Genetics and Genomics. Reflective journaling and storytelling were used as major pedagogies, alongside more traditional approaches. Thematic content analysis of student reflections revealed transformational learning as the major theme emerging from genomic and genetic knowledge acquisition. Quantitative analyses of precourse/postcourse student self-assessments of competencies revealed significant findings.

Enhancing learning in geosciences and water engineering via lab activities

NASA Astrophysics Data System (ADS)

Valyrakis, Manousos; Cheng, Ming

2016-04-01

This study focuses on the utilisation of lab based activities to enhance the learning experience of engineering students studying Water Engineering and Geosciences. In particular, the use of modern highly visual and tangible presentation techniques within an appropriate laboratory based space are used to introduce undergraduate students to advanced engineering concepts. A specific lab activity, namely "Flood-City", is presented as a case study to enhance the active engagement rate, improve the learning experience of the students and better achieve the intended learning objectives of the course within a broad context of the engineering and geosciences curriculum. Such activities, have been used over the last few years from the Water Engineering group @ Glasgow, with success for outreach purposes (e.g. Glasgow Science Festival and demos at the Glasgow Science Centre and Kelvingrove museum). The activity involves a specific setup of the demonstration flume in a sand-box configuration, with elements and activities designed so as to gamely the overall learning activity. Social media platforms can also be used effectively to the same goals, particularly in cases were the students already engage in these online media. To assess the effectiveness of this activity a purpose designed questionnaire is offered to the students. Specifically, the questionnaire covers several aspects that may affect student learning, performance and satisfaction, such as students' motivation, factors to effective learning (also assessed by follow-up quizzes), and methods of communication and assessment. The results, analysed to assess the effectiveness of the learning activity as the students perceive it, offer a promising potential for the use of such activities in outreach and learning.

Multi-View Multi-Instance Learning Based on Joint Sparse Representation and Multi-View Dictionary Learning.

PubMed

Li, Bing; Yuan, Chunfeng; Xiong, Weihua; Hu, Weiming; Peng, Houwen; Ding, Xinmiao; Maybank, Steve

2017-12-01

In multi-instance learning (MIL), the relations among instances in a bag convey important contextual information in many applications. Previous studies on MIL either ignore such relations or simply model them with a fixed graph structure so that the overall performance inevitably degrades in complex environments. To address this problem, this paper proposes a novel multi-view multi-instance learning algorithm (MIL) that combines multiple context structures in a bag into a unified framework. The novel aspects are: (i) we propose a sparse -graph model that can generate different graphs with different parameters to represent various context relations in a bag, (ii) we propose a multi-view joint sparse representation that integrates these graphs into a unified framework for bag classification, and (iii) we propose a multi-view dictionary learning algorithm to obtain a multi-view graph dictionary that considers cues from all views simultaneously to improve the discrimination of the MIL. Experiments and analyses in many practical applications prove the effectiveness of the M IL.

Real-world visual statistics and infants' first-learned object names

PubMed Central

Clerkin, Elizabeth M.; Hart, Elizabeth; Rehg, James M.; Yu, Chen

2017-01-01

We offer a new solution to the unsolved problem of how infants break into word learning based on the visual statistics of everyday infant-perspective scenes. Images from head camera video captured by 8 1/2 to 10 1/2 month-old infants at 147 at-home mealtime events were analysed for the objects in view. The images were found to be highly cluttered with many different objects in view. However, the frequency distribution of object categories was extremely right skewed such that a very small set of objects was pervasively present—a fact that may substantially reduce the problem of referential ambiguity. The statistical structure of objects in these infant egocentric scenes differs markedly from that in the training sets used in computational models and in experiments on statistical word-referent learning. Therefore, the results also indicate a need to re-examine current explanations of how infants break into word learning. This article is part of the themed issue ‘New frontiers for statistical learning in the cognitive sciences’. PMID:27872373

Q-learning residual analysis: application to the effectiveness of sequences of antipsychotic medications for patients with schizophrenia.

PubMed

Ertefaie, Ashkan; Shortreed, Susan; Chakraborty, Bibhas

2016-06-15

Q-learning is a regression-based approach that uses longitudinal data to construct dynamic treatment regimes, which are sequences of decision rules that use patient information to inform future treatment decisions. An optimal dynamic treatment regime is composed of a sequence of decision rules that indicate how to optimally individualize treatment using the patients' baseline and time-varying characteristics to optimize the final outcome. Constructing optimal dynamic regimes using Q-learning depends heavily on the assumption that regression models at each decision point are correctly specified; yet model checking in the context of Q-learning has been largely overlooked in the current literature. In this article, we show that residual plots obtained from standard Q-learning models may fail to adequately check the quality of the model fit. We present a modified Q-learning procedure that accommodates residual analyses using standard tools. We present simulation studies showing the advantage of the proposed modification over standard Q-learning. We illustrate this new Q-learning approach using data collected from a sequential multiple assignment randomized trial of patients with schizophrenia. Copyright © 2016 John Wiley & Sons, Ltd. Copyright © 2016 John Wiley & Sons, Ltd.

Beyond game effectiveness. Part II, a qualitative study of multi-role experiential learning.

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

Willis, Matthew; Tucker, Eilish Marie; Raybourn, Elaine Marie

The present paper is the second in a series published at I/ITSEC that seeks to explain the efficacy of multirole experiential learning employed to create engaging game-based training methods transitioned to the U.S. Army, U.S. Army Special Forces, Civil Affairs, and Psychological Operations teams. The first publication (I/ITSEC 2009) summarized findings from a quantitative study that investigated experiential learning in the multi-player, PC-based game module transitioned to PEO-STRI, DARWARS Ambush! NK (non-kinetic). The 2009 publication reported that participants of multi-role (Player and Reflective Observer/Evaluator) game-based training reported statistically significant learning and engagement. Additionally when the means of the two groupsmore » (Player and Reflective Observer/Evaluator) were compared, they were not statistically significantly different from each other. That is to say that both playing as well as observing/evaluating were engaging learning modalities. The Observer/Evaluator role was designed to provide an opportunity for real-time reflection and meta-cognitive learning during game play. Results indicated that this role was an engaging way to learn about communication, that participants learned something about cultural awareness, and that the skills they learned were helpful in problem solving and decision-making. The present paper seeks to continue to understand what and how users of non-kinetic game-based missions learn by revisiting the 2009 quantitative study with further investigation such as stochastic player performance analysis using latent semantic analyses and graph visualizations to correlate against human coder ratings and pre- and post-test self-analysis. The results are applicable to First-Person game-based learning systems designed to enhance trainee intercultural communication, interpersonal skills, and adaptive thinking. In the full paper, we discuss results obtained from data collected from 78 research participants of diverse backgrounds who trained by engaging in tasks directly, as well as observing and evaluating peer performance in real-time. The goal is two-fold. One is to quantify and visualize detailed player performance data coming from game play transcription to give further understanding to the results in the 2009 I/ITSEC paper. The second is to develop a set of technologies from this quantification and visualization approach into a generalized application tool to be used to aid in future games development of player/learner models and game adaptation algorithms.« less

Impact of a novel teaching method based on feedback, activity, individuality and relevance on students' learning.

PubMed

Edafe, Ovie; Brooks, William S; Laskar, Simone N; Benjamin, Miles W; Chan, Philip

2016-03-20

This study examines the perceived impact of a novel clinical teaching method based on FAIR principles (feedback, activity, individuality and relevance) on students' learning on clinical placement. This was a qualitative research study. Participants were third year and final year medical students attached to one UK vascular firm over a four-year period (N=108). Students were asked to write a reflective essay on how FAIRness approach differs from previous clinical placement, and its advantages and disadvantages. Essays were thematically analysed and globally rated (positive, negative or neutral) by two independent researchers. Over 90% of essays reported positive experiences of feedback, activity, individuality and relevance model. The model provided multifaceted feedback; active participation; longitudinal improvement; relevance to stage of learning and future goals; structured teaching; professional development; safe learning environment; consultant involvement in teaching. Students perceived preparation for tutorials to be time intensive for tutors/students; a lack of teaching on medical sciences and direct observation of performance; more than once weekly sessions would be beneficial; some issues with peer and public feedback, relevance to upcoming exam and large group sizes. Students described negative experiences of "standard" clinical teaching. Progressive teaching programmes based on the FAIRness principles, feedback, activity, individuality and relevance, could be used as a model to improve current undergraduate clinical teaching.

Application of LogitBoost Classifier for Traceability Using SNP Chip Data

PubMed Central

Kang, Hyunsung; Cho, Seoae; Kim, Heebal; Seo, Kang-Seok

2015-01-01

Consumer attention to food safety has increased rapidly due to animal-related diseases; therefore, it is important to identify their places of origin (POO) for safety purposes. However, only a few studies have addressed this issue and focused on machine learning-based approaches. In the present study, classification analyses were performed using a customized SNP chip for POO prediction. To accomplish this, 4,122 pigs originating from 104 farms were genotyped using the SNP chip. Several factors were considered to establish the best prediction model based on these data. We also assessed the applicability of the suggested model using a kinship coefficient-filtering approach. Our results showed that the LogitBoost-based prediction model outperformed other classifiers in terms of classification performance under most conditions. Specifically, a greater level of accuracy was observed when a higher kinship-based cutoff was employed. These results demonstrated the applicability of a machine learning-based approach using SNP chip data for practical traceability. PMID:26436917

Application of LogitBoost Classifier for Traceability Using SNP Chip Data.

PubMed

Kim, Kwondo; Seo, Minseok; Kang, Hyunsung; Cho, Seoae; Kim, Heebal; Seo, Kang-Seok

2015-01-01

Consumer attention to food safety has increased rapidly due to animal-related diseases; therefore, it is important to identify their places of origin (POO) for safety purposes. However, only a few studies have addressed this issue and focused on machine learning-based approaches. In the present study, classification analyses were performed using a customized SNP chip for POO prediction. To accomplish this, 4,122 pigs originating from 104 farms were genotyped using the SNP chip. Several factors were considered to establish the best prediction model based on these data. We also assessed the applicability of the suggested model using a kinship coefficient-filtering approach. Our results showed that the LogitBoost-based prediction model outperformed other classifiers in terms of classification performance under most conditions. Specifically, a greater level of accuracy was observed when a higher kinship-based cutoff was employed. These results demonstrated the applicability of a machine learning-based approach using SNP chip data for practical traceability.

Student Cognitive Difficulties and Mental Model Development of Complex Earth and Environmental Systems

NASA Astrophysics Data System (ADS)

Sell, K.; Herbert, B.; Schielack, J.

2004-05-01

Students organize scientific knowledge and reason about environmental issues through manipulation of mental models. The nature of the environmental sciences, which are focused on the study of complex, dynamic systems, may present cognitive difficulties to students in their development of authentic, accurate mental models of environmental systems. The inquiry project seeks to develop and assess the coupling of information technology (IT)-based learning with physical models in order to foster rich mental model development of environmental systems in geoscience undergraduate students. The manipulation of multiple representations, the development and testing of conceptual models based on available evidence, and exposure to authentic, complex and ill-constrained problems were the components of investigation utilized to reach the learning goals. Upper-level undergraduate students enrolled in an environmental geology course at Texas A&M University participated in this research which served as a pilot study. Data based on rubric evaluations interpreted by principal component analyses suggest students' understanding of the nature of scientific inquiry is limited and the ability to cross scales and link systems proved problematic. Results categorized into content knowledge and cognition processes where reasoning, critical thinking and cognitive load were driving factors behind difficulties in student learning. Student mental model development revealed multiple misconceptions and lacked complexity and completeness to represent the studied systems. Further, the positive learning impacts of the implemented modules favored the physical model over the IT-based learning projects, likely due to cognitive load issues. This study illustrates the need to better understand student difficulties in solving complex problems when using IT, where the appropriate scaffolding can then be implemented to enhance student learning of the earth system sciences.

Machine-learning techniques for fast and accurate feature localization in holograms of colloidal particles

NASA Astrophysics Data System (ADS)

Hannel, Mark D.; Abdulali, Aidan; O'Brien, Michael; Grier, David G.

2018-06-01

Holograms of colloidal particles can be analyzed with the Lorenz-Mie theory of light scattering to measure individual particles' three-dimensional positions with nanometer precision while simultaneously estimating their sizes and refractive indexes. Extracting this wealth of information begins by detecting and localizing features of interest within individual holograms. Conventionally approached with heuristic algorithms, this image analysis problem can be solved faster and more generally with machine-learning techniques. We demonstrate that two popular machine-learning algorithms, cascade classifiers and deep convolutional neural networks (CNN), can solve the feature-localization problem orders of magnitude faster than current state-of-the-art techniques. Our CNN implementation localizes holographic features precisely enough to bootstrap more detailed analyses based on the Lorenz-Mie theory of light scattering. The wavelet-based Haar cascade proves to be less precise, but is so computationally efficient that it creates new opportunities for applications that emphasize speed and low cost. We demonstrate its use as a real-time targeting system for holographic optical trapping.

A framework for pre-qualifying nurses to build leadership skills.

PubMed

Buckwell-Nutt, Karen; Francis-Shama, Jayne; Kellett, Pollyanna

2014-10-30

Nursing students are our future leaders in the healthcare sector. It is proposed that, for students to understand and demonstrate leadership knowledge, skills and attributes effectively, they need to: learn concepts, experience leadership roles, analyse their capabilities and develop these with the support of practitioners. The drive to improve nursing leadership does not come from within academia but from practitioners and other stakeholders, such as patients, the Nursing and Midwifery Council and Health Education England, and this need is reflected in the university curriculum. This article reviews a final-year module on personal development for leadership and management and highlights the importance of continued practice support in developing leadership skills and confidence. The educational approaches, including lectures, the use of problem-based scenarios and enquiry-based learning, are explored and the inclusion of e-learning methods is discussed. Students are made aware that placement expectations are different from those in previous years. Recommendations include strategies to strengthen practice support for students who need to develop leadership skills.

A Comparison of Reasoning Processes in a Collaborative Modelling Environment: Learning about genetics problems using virtual chat

NASA Astrophysics Data System (ADS)

Pata, Kai; Sarapuu, Tago

2006-09-01

This study investigated the possible activation of different types of model-based reasoning processes in two learning settings, and the influence of various terms of reasoning on the learners’ problem representation development. Changes in 53 students’ problem representations about genetic issue were analysed while they worked with different modelling tools in a synchronous network-based environment. The discussion log-files were used for the “microgenetic” analysis of reasoning types. For studying the stages of students’ problem representation development, individual pre-essays and post-essays and their utterances during two reasoning phases were used. An approach for mapping problem representations was developed. Characterizing the elements of mental models and their reasoning level enabled the description of five hierarchical categories of problem representations. Learning in exploratory and experimental settings was registered as the shift towards more complex stages of problem representations in genetics. The effect of different types of reasoning could be observed as the divergent development of problem representations within hierarchical categories.

Catecholaminergic challenge uncovers distinct Pavlovian and instrumental mechanisms of motivated (in)action

PubMed Central

Swart, Jennifer C; Froböse, Monja I; Cook, Jennifer L; Geurts, Dirk EM; Frank, Michael J; Cools, Roshan; den Ouden, Hanneke EM

2017-01-01

Catecholamines modulate the impact of motivational cues on action. Such motivational biases have been proposed to reflect cue-based, ‘Pavlovian’ effects. Here, we assess whether motivational biases may also arise from asymmetrical instrumental learning of active and passive responses following reward and punishment outcomes. We present a novel paradigm, allowing us to disentangle the impact of reward and punishment on instrumental learning from Pavlovian response biasing. Computational analyses showed that motivational biases reflect both Pavlovian and instrumental effects: reward and punishment cues promoted generalized (in)action in a Pavlovian manner, whereas outcomes enhanced instrumental (un)learning of chosen actions. These cue- and outcome-based biases were altered independently by the catecholamine enhancer melthylphenidate. Methylphenidate’s effect varied across individuals with a putative proxy of baseline dopamine synthesis capacity, working memory span. Our study uncovers two distinct mechanisms by which motivation impacts behaviour, and helps refine current models of catecholaminergic modulation of motivated action. DOI: http://dx.doi.org/10.7554/eLife.22169.001 PMID:28504638

A Big Data Platform for Storing, Accessing, Mining and Learning Geospatial Data

NASA Astrophysics Data System (ADS)

Yang, C. P.; Bambacus, M.; Duffy, D.; Little, M. M.

2017-12-01

Big Data is becoming a norm in geoscience domains. A platform that is capable to effiently manage, access, analyze, mine, and learn the big data for new information and knowledge is desired. This paper introduces our latest effort on developing such a platform based on our past years' experiences on cloud and high performance computing, analyzing big data, comparing big data containers, and mining big geospatial data for new information. The platform includes four layers: a) the bottom layer includes a computing infrastructure with proper network, computer, and storage systems; b) the 2nd layer is a cloud computing layer based on virtualization to provide on demand computing services for upper layers; c) the 3rd layer is big data containers that are customized for dealing with different types of data and functionalities; d) the 4th layer is a big data presentation layer that supports the effient management, access, analyses, mining and learning of big geospatial data.

Analysis of brain activity and response to colour stimuli during learning tasks: an EEG study

NASA Astrophysics Data System (ADS)

Folgieri, Raffaella; Lucchiari, Claudio; Marini, Daniele

2013-02-01

The research project intends to demonstrate how EEG detection through BCI device can improve the analysis and the interpretation of colours-driven cognitive processes through the combined approach of cognitive science and information technology methods. To this end, firstly it was decided to design an experiment based on comparing the results of the traditional (qualitative and quantitative) cognitive analysis approach with the EEG signal analysis of the evoked potentials. In our case, the sensorial stimulus is represented by the colours, while the cognitive task consists in remembering the words appearing on the screen, with different combination of foreground (words) and background colours. In this work we analysed data collected from a sample of students involved in a learning process during which they received visual stimuli based on colour variation. The stimuli concerned both the background of the text to learn and the colour of the characters. The experiment indicated some interesting results concerning the use of primary (RGB) and complementary (CMY) colours.

The Effect of Student-Centered Approaches on Students' Interest and Achievement in Science: Relevant Topic-Based, Open and Guided Inquiry-Based, and Discussion-Based Approaches

NASA Astrophysics Data System (ADS)

Kang, Jingoo; Keinonen, Tuula

2017-04-01

Since students have lost their interest in school science, several student-centered approaches, such as using topics that are relevant for students, inquiry-based learning, and discussion-based learning have been implemented to attract pupils into science. However, the effect of these approaches was usually measured in small-scale research, and thus, the large-scale evidence supporting student-centered approaches in general use is insufficient. Accordingly, this study aimed to investigate the effect of student-centered approaches on students' interest and achievement by analyzing a large-scale data set derived from Program for International Student Assessment (PISA) 2006, to add evidence for advocating these approaches in school science, and to generalize the effects on a large population. We used Finnish PISA 2006 data, which is the most recent data that measures science literacy and that contains relevant variables for the constructs of this study. As a consequence of the factor analyses, four teaching methods were grouped as student-centered approaches (relevant topic-based, open and guided inquiry-based, and discussion-based approaches in school science) from the Finnish PISA 2006 sample. The structural equation modeling result indicated that using topics relevant for students positively affected students' interest and achievement in science. Guided inquiry-based learning was also indicated as a strong positive predictor for students' achievement, and its effect was also positively associated with students' interest. On the other hand, open inquiry-based learning was indicated as a strong negative predictor for students' achievement, as was using discussion in school science. Implications and limitations of the study were discussed.

Teaching Plate Tectonic Concepts using GeoMapApp Learning Activities

NASA Astrophysics Data System (ADS)

Goodwillie, A. M.; Kluge, S.

2012-12-01

GeoMapApp Learning Activities ( http://serc.carleton.edu/geomapapp/collection.html ) can help educators to expose undergraduate students to a range of earth science concepts using high-quality data sets in an easy-to-use map-based interface called GeoMapApp. GeoMapApp Learning Activities require students to interact with and analyse research-quality geoscience data as a means to explore and enhance their understanding of underlying content and concepts. Each activity is freely available through the SERC-Carleton web site and offers step-by-step student instructions and answer sheets. Also provided are annotated educator versions of the worksheets that include teaching tips, additional content and suggestions for further work. The activities can be used "off-the-shelf". Or, since the educator may require flexibility to tailor the activities, the documents are provided in Word format for easy modification. Examples of activities include one on the concept of seafloor spreading that requires students to analyse global seafloor crustal age data to calculate spreading rates in different ocean basins. Another activity has students explore hot spots using radiometric age dating of rocks along the Hawaiian-Emperor seamount chain. A third focusses upon the interactive use of contours and profiles to help students visualise 3-D topography on 2-D computer screens. A fourth activity provides a study of mass wasting as revealed through geomorphological evidence. The step-by-step instructions and guided inquiry approach reduce the need for teacher intervention whilst boosting the time that students can spend on productive exploration and learning. The activities can be used, for example, in a classroom lab with the educator present and as self-paced assignments in an out-of-class setting. GeoMapApp Learning Activities are funded through the NSF GeoEd program and are aimed at students in the introductory undergraduate, community college and high school levels. The activities are based upon GeoMapApp (http://www.geomapapp.org), a free map-based data exploration and visualisation tool that allows students to access a wide range of geoscience data in a virtual lab-like environment.

Contextualised Media for Learning

ERIC Educational Resources Information Center

de Jong, Tim; Specht, Marcus; Koper, Rob

2008-01-01

In this paper, we analyse how contextualised media can be used to support learning. Additionally, the advantages of contextualised learning and the types of learning that are fit to be supported are discussed. Our focus throughout the paper will be on lifelong learning, and the integration of formal and informal learning therein. However, we…

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.

Foreign Language Competence and Content and Language Integrated Learning in Multilingual Schools in Catalonia: An "Ex Post Facto" Study Analysing the Results of State Key Competences Testing

ERIC Educational Resources Information Center

Coral, Josep; Lleixà, Teresa; Ventura, Carles

2018-01-01

The member states of the European Union have funded many initiatives supporting the teaching and learning of foreign languages. Content and language integrated learning is one of the experimental language programmes that have been introduced in Catalonia, in the north-east of Spain. The aims of this study are to analyse the results achieved by…