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...
Saved in:
Main Authors: | , , , |
---|---|
Other Authors: | |
Format: | Article |
Language: | English |
Published: |
2020
|
Subjects: | |
Online Access: | https://hdl.handle.net/10356/137244 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Institution: | Nanyang Technological University |
Language: | English |
id |
sg-ntu-dr.10356-137244 |
---|---|
record_format |
dspace |
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 |
_version_ |
1683493162411098112 |