Advances in medical education and practice: student perceptions of the flipped classroom
Why this work is in the frame
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Bibliographic record
Abstract
Christopher J Ramnanan,1 Lynley D Pound2 1Department of Innovation in Medical Education, Faculty of Medicine, University of Ottawa, 2Ottawa Hospital Research Institute, Ottawa, ON, Canada Abstract: The flipped classroom (FC) approach to teaching has been increasingly employed in undergraduate medical education in recent years. In FC applications, students are first exposed to content via online resources. Subsequent face-to-face class time can then be devoted to student-centered activities that promote active learning. Although the FC has been well received by students in other contexts, the perceptions of medical students regarding this innovation are unclear. This review serves as an early exploration into medical student perceptions of benefits and limitations of the FC. Medical students have generally expressed strong appreciation for the pre-class preparation activities (especially when facilitated by concise, readily accessed online tools) as well as for interactive, engaging small group classroom activities. Some students have expressed concerns with the FC and noted that suboptimal student preparation and insufficient direction and structure during active learning sessions may limit the student-centered benefits. Although students generally perceive that FC approaches can improve their learning and knowledge, this has not been conclusively shown via performances on assessment tools, which may be related to caveats with the assessment tools used. In any case, lifelong self-directed learning skills are perceived by medical students to be enhanced by the FC. In conclusion, medical students have generally expressed strong satisfaction with early applications of the FC to undergraduate medical education, and generally prefer this method to lecture-based instruction. Keywords: flipped classroom, active learning, student perceptions, undergraduate medical education, medical student, case-based learning, problem-based learning, team-based 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 | 0.011 | 0.020 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.004 |
| Open science | 0.003 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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