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Bugewa Apampa 2 Articles
Perceptions of team-based learning using the Team-Based Learning Student Assessment Instrument: an exploratory analysis amongst pharmacy and biomedical students in the United Kingdom  
Prabha Parthasarathy, Bugewa Apampa, Andrea Manfrin
J Educ Eval Health Prof. 2019;16:23.   Published online August 21, 2019
DOI: https://doi.org/10.3352/jeehp.2019.16.23
  • 12,641 View
  • 200 Download
  • 4 Citations
AbstractAbstract PDFSupplementary Material
Purpose
This study aimed to evaluate students’ perception of team-based learning (TBL) amongst a cohort exposed to this methodology for the first time at a university in the United Kingdom.
Methods
Between November and December 2018, 26 first-year Master of Pharmacy and 90 second-year Biomedical Science students of the School of Life Sciences, University of Sussex, United Kingdom were invited to participate and requested to complete a questionnaire that contained quantitative and qualitative questions. The quantitative component was based on the Team-Based Learning Student Assessment Instrument (TBL-SAI). It additionally contained questions about key student characteristics.
Results
The response rate was 60% (70 of 116); of the participants, 74% (n=52) were females and 26% (n=18) males. The percentage of agreement in the TBL-SAI suggested a favourable response to TBL. The overall mean score for the TBL-SAI was 115.6 (standard deviation, 5.6; maximum score, 140), which was above the threshold of 102, thus suggesting a preference for TBL. Statistically significant differences were not found according to demographic characteristics. Students who predicted a final grade of ≥70% strongly agreed that TBL helped improve their grades. Some students highlighted issues with working in teams, and only 56% of students agreed that they could learn better in a team setting.
Conclusion
This study shows that students exposed to TBL for the first time favoured several aspects of TBL. However, more focused strategies including team-building activities and expert facilitation skills could potentially tackle resistance to working in teams.

Citations

Citations to this article as recorded by  
  • Service learning and the medical student affective domain
    Deborah Bartz, Andrea Pelletier, Erik K. Alexander, Nora Y. Osman, Natasha R. Johnson
    The Clinical Teacher.2022; 19(3): 247.     CrossRef
  • Applying team-based learning in a transnational post registration bachelor of nursing program in Singapore
    Rob Burton, Thea van de Mortel, Victoria Kain
    BMC Nursing.2021;[Epub]     CrossRef
  • Integrating Team-Based Learning Modules to Improve Civil Engineering Students’ Technical Writing Skills
    Shenghua Wu, Shenghua Zha, Sue Mattson
    Journal of Civil Engineering Education.2020;[Epub]     CrossRef
  • A conceptual model for students’ satisfaction with team-based learning using partial least squares structural equation modelling in a faculty of life sciences, in the United Kingdom
    Andrea Manfrin, Bugewa Apampa, Prabha Parthasarathy
    Journal of Educational Evaluation for Health Professions.2019; 16: 36.     CrossRef
A conceptual model for students’ satisfaction with team-based learning using partial least squares structural equation modelling in a faculty of life sciences, in the United Kingdom  
Andrea Manfrin, Bugewa Apampa, Prabha Parthasarathy
J Educ Eval Health Prof. 2019;16:36.   Published online November 13, 2019
DOI: https://doi.org/10.3352/jeehp.2019.16.36
  • 8,895 View
  • 218 Download
  • 5 Citations
AbstractAbstract PDFSupplementary Material
Purpose
Students’ satisfaction is an essential element in higher education. This study aimed to identify paths and predictive power of students’ satisfaction during team-based learning (TBL) activities in the faculty of life sciences using partial least squares structural equation modelling (PLS-SEM).
Methods
In 2018–2019, at the University of Sussex (Falmer, UK), 180 life science students exposed to TBL were invited to participate in the study. Team-Based-Learning-Student-Assessment-Instrument was used. A conceptual model was developed for testing six hypotheses. H1: What was the effect of TBL on student satisfaction? H2: What was the effect of lectures on student satisfaction? H3: What was the effect of TBL on accountability? H4: What was the effect of lectures on accountability? H5: What was the effect of accountability on student satisfaction? H6: What were the in-sample and out-of-sample predictive power of the model? The analysis was conducted using the PLS-SEM approach.
Results
Ninety-nine students participated in the study giving a 55% response rate. Confirmatory tetrad analysis suggested a reflective model. Construct reliability, validity, average extracted variance, and discriminant validity were confirmed. All path coefficients were positive, and 5 were statistically significant (H1: β=0.587, P<0:001; H2: β=0.262, P<0.001; H3: β=0.532, P<0.001; H4: β=0.063, P=0.546; H5: β=0.200, P=0.002). The in-sample predictive power was weak for Accountability, (R2=0.303; 95% confidence interval [CI], 0.117–0.428; P<0.001) and substantial for Student Satisfaction (R2=0.678; 95% CI, 0.498–0.777; P<0.001). The out-of-sample predictive power was moderate.
Conclusion
The results have demonstrated the possibility of developing and testing a TBL conceptual model using PLS-SEM for the evaluation of path coefficients and predictive power relative to students’ satisfaction.

Citations

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    Khadija Saka, Mohamed-Yassine Amarouch, Mohamed El Amine Ragala, Zarrouq Btissame, Adel Tahraoui, Youness El Achhab, Jaouad El-Hilaly
    Belitung Nursing Journal.2023; 9(1): 86.     CrossRef
  • The relationship between the pharmacist's role, patient understanding and satisfaction during the provision of a cost‐effective pharmacist‐led intervention
    Andrea Manfrin
    Journal of Evaluation in Clinical Practice.2023; 29(5): 825.     CrossRef
  • Transitioning to Individual Learning Paths in the Opinions of Students and Teachers: the Case of the University of Tyumen
    Tatyana Gavrilyuk, Taisia Pogodaeva
    Sociological Journal.2023; 29(2): 51.     CrossRef
  • Virtual Physical Education: Google Meet as an alternative platform for learning skill-based concepts
    Joseph Lobo
    Physical education of students.2022; 26(6): 296.     CrossRef
  • A SEM-NCA Approach towards Social Networks Marketing: Evaluating Consumers’ Sustainable Purchase Behavior with the Moderating Role of Eco-Friendly Attitude
    Pejman Ebrahimi, Datis Khajeheian, Maria Fekete-Farkas
    International Journal of Environmental Research and Public Health.2021; 18(24): 13276.     CrossRef

JEEHP : Journal of Educational Evaluation for Health Professions