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 inAdvances in health sciences education : theory and practice Vol. 23; no. 2; pp. 339 - 351
Main Authors Rotgans, Jerome I., Schmidt, Henk G., Rajalingam, Preman, Hao, Joey Wong Ying, Canning, Claire Ann, Ferenczi, Michael A., Low-Beer, Naomi
Format Journal Article
LanguageEnglish
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.
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
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AW Burgess (9801_CR3) 2014; 89
TM Cumming (9801_CR7) 2013; 28
A Assor (9801_CR2) 2002; 72
E Chlapana (9801_CR4) 2016; 50
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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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