A students’ model of team-based learning

Background: Team-based learning (TBL) combines direct instruction with active, collaborative small group learning. This study aimed to elucidate-from the students’ perspective-the relations between different elements of TBL. This is expected to provide a better understanding of the inner workings of...

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Main Authors: Rotgans, Jerome Ingmar, Rajalingam, Preman, Ferenczi, Michael Alan, Low-Beer, Naomi
Other Authors: Lee Kong Chian School of Medicine (LKCMedicine)
Format: Article
Language:English
Published: 2020
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Online Access:https://hdl.handle.net/10356/137244
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Institution: Nanyang Technological University
Language: English
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spelling sg-ntu-dr.10356-1372442020-11-01T05:13:03Z A students’ model of team-based learning Rotgans, Jerome Ingmar Rajalingam, Preman Ferenczi, Michael Alan Low-Beer, Naomi Lee Kong Chian School of Medicine (LKCMedicine) Science::Medicine Medical Education Path Analysis Background: Team-based learning (TBL) combines direct instruction with active, collaborative small group learning. This study aimed to elucidate-from the students’ perspective-the relations between different elements of TBL. This is expected to provide a better understanding of the inner workings of TBL in education. Method: Three hundred and thirteen first- and second-year medical students participated in the study. Data about TBL were collected at the end of six teaching blocks, by means of a questionnaire. The data were then combined and subjected to path analysis, which enabled testing of hypothesised relations between three layers of TBL-relevant variables. These were (1) input variables: prior knowledge, teamwork, challenging application exercise, content expert and facilitator; (2) process variables: preparation materials, individual readiness assurance test (iRAT), team readiness assurance test (tRAT); and (3) output variables: learning and topic interest. Results: Initial analysis resulted in amendments to the hypothesised model. An amended model fitted the data well and explained 43% of the variance in learning and 32% of the variance in topic interest. Content expert had a direct effect on topic interest, as did prior knowledge, teamwork, iRAT and application exercise. Learning was directly influenced by tRAT, application exercise and facilitator, but not content expert. Conclusions: The results of this study demonstrate the inter-relationships of different elements of TBL. The results provide new insights in how TBL works from a students’ perspective. Implications of these findings are discussed. Published version 2020-03-11T01:36:03Z 2020-03-11T01:36:03Z 2019 Journal Article Rotgans, J. I., Rajalingam, P., Ferenczi, M. A., & Low-Beer, N. (2019). A students’ model of team-based learning. Health Professions Education, 5(4), 294-302. doi:10.1016/j.hpe.2018.10.003 2452-3011 https://hdl.handle.net/10356/137244 10.1016/j.hpe.2018.10.003 4 5 294 302 en Health Professions Education © 2018 King Saud bin AbdulAziz University for Health Sciences. Production and Hosting by Elsevier B.V. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/). application/pdf
institution Nanyang Technological University
building NTU Library
continent Asia
country Singapore
Singapore
content_provider NTU Library
collection DR-NTU
language English
topic Science::Medicine
Medical Education
Path Analysis
spellingShingle Science::Medicine
Medical Education
Path Analysis
Rotgans, Jerome Ingmar
Rajalingam, Preman
Ferenczi, Michael Alan
Low-Beer, Naomi
A students’ model of team-based learning
description Background: Team-based learning (TBL) combines direct instruction with active, collaborative small group learning. This study aimed to elucidate-from the students’ perspective-the relations between different elements of TBL. This is expected to provide a better understanding of the inner workings of TBL in education. Method: Three hundred and thirteen first- and second-year medical students participated in the study. Data about TBL were collected at the end of six teaching blocks, by means of a questionnaire. The data were then combined and subjected to path analysis, which enabled testing of hypothesised relations between three layers of TBL-relevant variables. These were (1) input variables: prior knowledge, teamwork, challenging application exercise, content expert and facilitator; (2) process variables: preparation materials, individual readiness assurance test (iRAT), team readiness assurance test (tRAT); and (3) output variables: learning and topic interest. Results: Initial analysis resulted in amendments to the hypothesised model. An amended model fitted the data well and explained 43% of the variance in learning and 32% of the variance in topic interest. Content expert had a direct effect on topic interest, as did prior knowledge, teamwork, iRAT and application exercise. Learning was directly influenced by tRAT, application exercise and facilitator, but not content expert. Conclusions: The results of this study demonstrate the inter-relationships of different elements of TBL. The results provide new insights in how TBL works from a students’ perspective. Implications of these findings are discussed.
author2 Lee Kong Chian School of Medicine (LKCMedicine)
author_facet Lee Kong Chian School of Medicine (LKCMedicine)
Rotgans, Jerome Ingmar
Rajalingam, Preman
Ferenczi, Michael Alan
Low-Beer, Naomi
format Article
author Rotgans, Jerome Ingmar
Rajalingam, Preman
Ferenczi, Michael Alan
Low-Beer, Naomi
author_sort Rotgans, Jerome Ingmar
title A students’ model of team-based learning
title_short A students’ model of team-based learning
title_full A students’ model of team-based learning
title_fullStr A students’ model of team-based learning
title_full_unstemmed A students’ model of team-based learning
title_sort students’ model of team-based learning
publishDate 2020
url https://hdl.handle.net/10356/137244
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