Team-Based Learning From Theory to Practice: Faculty Reactions to the Innovation
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
BACKGROUND: Limited studies have examined the factors associated with the implementation of team-based learning (TBL). PURPOSE: The purpose of this study was to identify faculty reactions (successes and challenges) associated with the implementation of a modified TBL in undergraduate anatomy teaching. METHOD: To obtain faculty reactions to the TBL approach, data collection included focus groups, observations, and document analysis. Using the constant comparative method, our analysis yielded four key themes. RESULTS: Four themes based on faculty reactions to the implementation of TBL included transportability and local adaptations, faculty/tutor role confusion, student preparedness, and teacher-targeted bullying. CONCLUSIONS: Future physicians will need educational programs that embrace the theory and practice of teamwork. Schools adopting team-based learning approaches will need to carefully consider their local environments so as to successfully transport innovative practices alongside local adaptations. As front-line implementers faculty will require initial and ongoing professional development. The TBL method is amenable to local modifications and holds promise as a pedagogical strategy to garner increased student engagement and student achievement in their learning.
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Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.015 | 0.048 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.003 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it