ArticleCBE life sciences education2024
Mind the Gap: Investigating Disaggregated Student Performance in an Upper-Division Biochemistry Course Following Team-Based Learning.
Article in CBE life sciences education, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper, 1 of them a synthesis that pooled it.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
1 citing paper in PubMed, 1 synthesis or guideline pooled it.
- Biochemistry Learning in Higher Education: A Systematic Review on Methodologies and Teaching Resources.Biochemistry and molecular biology education : a bimonthly publication of the International Union of Biochemistry and Molecular BiologyPooled it
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Team-based learning (TBL) is a highly intense active learning pedagogy that uses a cycle of preclass preparation, formative assessment for readiness, mini-lectures, and complex team exercises. Consistent with the literature on active learning, prior research on TBL consistently shows its benefits for student outcomes as compared with previous lecture. However, little work has examined student outcomes disaggregated by demographic variable. We analyzed assessment and student demographic data (i.e., binary gender, racial/ethnic group, generational status) in three semesters of TBL in an upper-division biochemistry course to understand the degree to which performance could be predicted by student demographics. We use theoretical and empirical research from social psychology to hypothesize that the intense interpersonal interactions of TBL could activate psychological threats, the effects of which would be measurable as differences in student performance that correlate with demographic variables. Our regression analysis did not support this hypothesis. This null result invites a deeper discussion on how we measure the potential effects of active learning on student outcomes, particularly given how important it is to account for intersectional and invisible identities.
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Registered trials
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