How cognitive engagement fluctuates during a team-based learning session and how it predicts academic achievement
The objective of the paper is to report findings of two studies that attempted to find answers to the following questions: (1) What are the levels of cognitive engagement in TBL? (2) Are there differences between students who were more exposed to TBL than students who were less exposed to TBL? (3) T...
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Published in | Advances in health sciences education : theory and practice Vol. 23; no. 2; pp. 339 - 351 |
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Main Authors | , , , , , , |
Format | Journal Article |
Language | English |
Published |
Dordrecht
Springer Netherlands
01.05.2018
Springer Springer Nature B.V |
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Abstract | The objective of the paper is to report findings of two studies that attempted to find answers to the following questions: (1) What are the levels of cognitive engagement in TBL? (2) Are there differences between students who were more exposed to TBL than students who were less exposed to TBL? (3) To which extent does cognitive engagement fluctuate as a function of the different activities involved in TBL? And (4) How do cognitive engagement scores collected over time correlate with each other and with academic achievement? The studies were conducted with Year-1 and -2 medical students enrolled in a TBL curriculum (N = 175, 62 female). In both studies, six measurements of cognitive engagement were taken during the distinct TBL activities (preparation phase, individual/team readiness assurance test, burning questions, and application exercises). Data were analysed by means of one-way repeated-measures ANOVAs and path modelling. The results of the repeated-measures ANOVA revealed that cognitive engagement systematically fluctuated as a function of the distinct TBL activities. In addition, Year-1 students reported significantly higher levels of cognitive engagement compared to Year-2 students. Finally, cognitive engagement was a significant predictor of performance (
β
= .35). The studies presented in this paper are a first attempt to relate the different activities undertaken in TBL with the extent to which they arouse cognitive engagement with the task at hand. Implications of these findings for TBL are discussed. |
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AbstractList | The objective of the paper is to report findings of two studies that attempted to find answers to the following questions: (1) What are the levels of cognitive engagement in TBL? (2) Are there differences between students who were more exposed to TBL than students who were less exposed to TBL? (3) To which extent does cognitive engagement fluctuate as a function of the different activities involved in TBL? And (4) How do cognitive engagement scores collected over time correlate with each other and with academic achievement? The studies were conducted with Year-1 and -2 medical students enrolled in a TBL curriculum (N = 175, 62 female). In both studies, six measurements of cognitive engagement were taken during the distinct TBL activities (preparation phase, individual/team readiness assurance test, burning questions, and application exercises). Data were analysed by means of one-way repeated-measures ANOVAs and path modelling. The results of the repeated-measures ANOVA revealed that cognitive engagement systematically fluctuated as a function of the distinct TBL activities. In addition, Year-1 students reported significantly higher levels of cognitive engagement compared to Year-2 students. Finally, cognitive engagement was a significant predictor of performance (β = .35). The studies presented in this paper are a first attempt to relate the different activities undertaken in TBL with the extent to which they arouse cognitive engagement with the task at hand. Implications of these findings for TBL are discussed. The objective of the paper is to report findings of two studies that attempted to find answers to the following questions: (1) What are the levels of cognitive engagement in TBL? (2) Are there differences between students who were more exposed to TBL than students who were less exposed to TBL? (3) To which extent does cognitive engagement fluctuate as a function of the different activities involved in TBL? And (4) How do cognitive engagement scores collected over time correlate with each other and with academic achievement? The studies were conducted with Year-1 and -2 medical students enrolled in a TBL curriculum (N = 175, 62 female). In both studies, six measurements of cognitive engagement were taken during the distinct TBL activities (preparation phase, individual/team readiness assurance test, burning questions, and application exercises). Data were analysed by means of one-way repeated-measures ANOVAs and path modelling. The results of the repeated-measures ANOVA revealed that cognitive engagement systematically fluctuated as a function of the distinct TBL activities. In addition, Year-1 students reported significantly higher levels of cognitive engagement compared to Year-2 students. Finally, cognitive engagement was a significant predictor of performance ( β = .35). The studies presented in this paper are a first attempt to relate the different activities undertaken in TBL with the extent to which they arouse cognitive engagement with the task at hand. Implications of these findings for TBL are discussed. The objective of the paper is to report findings of two studies that attempted to find answers to the following questions: (1) What are the levels of cognitive engagement in TBL? (2) Are there differences between students who were more exposed to TBL than students who were less exposed to TBL? (3) To which extent does cognitive engagement fluctuate as a function of the different activities involved in TBL? And (4) How do cognitive engagement scores collected over time correlate with each other and with academic achievement? The studies were conducted with Year-1 and -2 medical students enrolled in a TBL curriculum (N = 175, 62 female). In both studies, six measurements of cognitive engagement were taken during the distinct TBL activities (preparation phase, individual/team readiness assurance test, burning questions, and application exercises). Data were analysed by means of one-way repeated-measures ANOVAs and path modelling. The results of the repeated-measures ANOVA revealed that cognitive engagement systematically fluctuated as a function of the distinct TBL activities. In addition, Year-1 students reported significantly higher levels of cognitive engagement compared to Year-2 students. Finally, cognitive engagement was a significant predictor of performance (β = .35). The studies presented in this paper are a first attempt to relate the different activities undertaken in TBL with the extent to which they arouse cognitive engagement with the task at hand. Implications of these findings for TBL are discussed. The objective of the paper is to report findings of two studies that attempted to find answers to the following questions: (1) What are the levels of cognitive engagement in TBL?; (2) Are there differences between students who were more exposed to TBL than students who were less exposed to TBL?; (3) To which extent does cognitive engagement fluctuate as a function of the different activities involved in TBL?; and (4) How do cognitive engagement scores collected over time correlate with each other and with academic achievement? The studies were conducted with Year-1 and -2 medical students enrolled in a TBL curriculum (N = 175, 62 female). In both studies, six measurements of cognitive engagement were taken during the distinct TBL activities (preparation phase, individual/team readiness assurance test, burning questions, and application exercises). Data were analysed by means of one-way repeated-measures ANOVAs and path modelling. The results of the repeated-measures ANOVA revealed that cognitive engagement systematically fluctuated as a function of the distinct TBL activities. In addition, Year-1 students reported significantly higher levels of cognitive engagement compared to Year-2 students. Finally, cognitive engagement was a significant predictor of performance ([beta] = 0.35). The studies presented in this paper are a first attempt to relate the different activities undertaken in TBL with the extent to which they arouse cognitive engagement with the task at hand. Implications of these findings for TBL are discussed. |
Audience | Higher Education |
Author | Low-Beer, Naomi Schmidt, Henk G. Rotgans, Jerome I. Canning, Claire Ann Ferenczi, Michael A. Rajalingam, Preman Hao, Joey Wong Ying |
Author_xml | – sequence: 1 givenname: Jerome I. surname: Rotgans fullname: Rotgans, Jerome I. email: RotgansResearch@gmail.com organization: Lee Kong Chian School of Medicine, Nanyang Technological University – sequence: 2 givenname: Henk G. surname: Schmidt fullname: Schmidt, Henk G. organization: Erasmus University Rotterdam – sequence: 3 givenname: Preman surname: Rajalingam fullname: Rajalingam, Preman organization: Lee Kong Chian School of Medicine, Nanyang Technological University – sequence: 4 givenname: Joey Wong Ying surname: Hao fullname: Hao, Joey Wong Ying organization: Lee Kong Chian School of Medicine, Nanyang Technological University – sequence: 5 givenname: Claire Ann surname: Canning fullname: Canning, Claire Ann organization: Lee Kong Chian School of Medicine, Nanyang Technological University – sequence: 6 givenname: Michael A. surname: Ferenczi fullname: Ferenczi, Michael A. organization: Lee Kong Chian School of Medicine, Nanyang Technological University – sequence: 7 givenname: Naomi surname: Low-Beer fullname: Low-Beer, Naomi organization: Lee Kong Chian School of Medicine, Nanyang Technological University |
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Cites_doi | 10.3109/0142159X.2013.849802 10.1097/ACM.0b013e3181f52bed 10.1016/S0959-4388(97)80010-4 10.1038/nature04286 10.1006/ceps.1996.0015 10.1128/154288103X14285806229759 10.1016/j.jsp.2006.04.002 10.1037/0022-0663.80.4.514 10.1348/000709902158883 10.3109/01421590903548562 10.1002/ca.20040 10.1080/00461528309529266 10.1038/nn.2205 10.1111/lit.12085 10.1080/10705519909540118 10.1097/ACM.0b013e318244759e 10.1002/ase.91 10.1002/tl.330 10.1007/s11336-008-9101-0 10.1097/ACM.0000000000000162 10.1177/016264341302800404 10.1207/s15328015tlm1702_4 10.1016/j.cedpsych.2004.01.006 10.1007/s10459-011-9272-9 10.1097/acm.0000000000000162 10.1016/s0959-4388(97)80010-4 |
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SubjectTerms | Academic Achievement Cognitive Processes Comparative Analysis Cooperative Learning Correlation Education Instructional Program Divisions Learner Engagement Measures (Individuals) Medical Education Medical Students Predictor Variables Program Effectiveness Scores Statistical Analysis Students Teaching Methods Teamwork |
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Title | How cognitive engagement fluctuates during a team-based learning session and how it predicts academic achievement |
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