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: Jerome I. Rotgans, Preman Rajalingam, Michael A. Ferenczi, Naomi Low-Beer
Format: Article
Language:English
Published: Elsevier 2019-12-01
Series:Health Professions Education
Online Access:http://www.sciencedirect.com/science/article/pii/S2452301118301706
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spelling doaj-bae7044fe60242f897ac8dc9f0fd079e2020-11-25T00:33:30ZengElsevierHealth Professions Education2452-30112019-12-0154294302A Students’ Model of Team-based LearningJerome I. Rotgans0Preman Rajalingam1Michael A. Ferenczi2Naomi Low-Beer3Corresponding author.; Nanyang Technological University, Lee Kong Chian School of Medicine, 11 Mandalay Road, Singapore 308232, SingaporeNanyang Technological University, Lee Kong Chian School of Medicine, 11 Mandalay Road, Singapore 308232, SingaporeNanyang Technological University, Lee Kong Chian School of Medicine, 11 Mandalay Road, Singapore 308232, SingaporeNanyang Technological University, Lee Kong Chian School of Medicine, 11 Mandalay Road, Singapore 308232, SingaporeBackground: 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. Keywords: Team-based learning, Medical education, Path analysis, Students׳ modelhttp://www.sciencedirect.com/science/article/pii/S2452301118301706
collection DOAJ
language English
format Article
sources DOAJ
author Jerome I. Rotgans
Preman Rajalingam
Michael A. Ferenczi
Naomi Low-Beer
spellingShingle Jerome I. Rotgans
Preman Rajalingam
Michael A. Ferenczi
Naomi Low-Beer
A Students’ Model of Team-based Learning
Health Professions Education
author_facet Jerome I. Rotgans
Preman Rajalingam
Michael A. Ferenczi
Naomi Low-Beer
author_sort Jerome I. Rotgans
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
publisher Elsevier
series Health Professions Education
issn 2452-3011
publishDate 2019-12-01
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. Keywords: Team-based learning, Medical education, Path analysis, Students׳ model
url http://www.sciencedirect.com/science/article/pii/S2452301118301706
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