A Mixed Methods Study on the Effect of Flipping the Undergraduate Medical Classroom
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
The flipped classroom model is increasingly being adopted in healthcare education, despite the fact that recent systematic reviews in the nursing and medical education literature suggest that this method of instructional design is not inherently better or worse than the traditional classroom. In this study, we used a sequential, explanatory mixed methods design to assess the impact of flipping the hepatology classroom for preclinical medical students. Compared to students in the traditional classroom, students in the flipped classroom had significantly lower mean (SD) ratings of their learning experiences (3.48 (1.10) vs. 4.50 (0.72), p < 0.001, d = 1.10), but better performance on the hepatology content of the end-of-course examination (78.0% (11.7%) vs. 74.2 (15.1%), respectively, p < 0.01, d = 0.3). Based upon our qualitative data analyses, we propose that the flipped classroom induced a change in the learning process of students by requiring increased preparation for classroom learning and promoting greater learner autonomy, which resulted in better retention of learned material, but reduced enjoyment of the learning experience. This dissonance in outcomes is captured in the words of one flipped classroom student: “…I hated it while I was learning it, but boy did I remember it…”. Based upon our dissonant outcomes and the inconsistent findings in the literature, we feel that there is still equipoise regarding the effectiveness of the flipped classroom, and further studies are needed to describe ways of making the flipped classroom a more effective (±more enjoyable) learning experience.
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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 | 0.058 | 0.039 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.006 | 0.003 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.002 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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