Combined Application of Study Design and Case-based Learning Comprehensive Model in Epidemiology Teaching
Why this work is in the frame
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Bibliographic record
Abstract
This paper aims to conduct the SD-CBL (study design with the case based learning, SD-CBL) in Epidemiologyteaching and evaluate its effect. Students from five classes were recruited, and a combined comprehensive teachingmodel of SD-CBL was used in the “Injury Epidemiology” chapter, while other chapters in “Epidemiology”curriculum were using a teaching model of case based learning (CBL) only or single PowerPoint (ppt) teaching (itwas considered as a traditional teaching in many universities). In the final of the semester, the effects of these threeteaching models were compared in different majors and different students source. We found that SD-CBLcomprehensive teaching model was better than ppt only and CBL teaching methods (P<0.001, P=0.007), and thesignificant differences were found in the increased scoring rate between different majors and different studentssource (P<0.001, P=0.015). Thus, we concluded that the SD-CBL teaching model is effective and worth to promotein “Epidemiology” teaching, especial in chapters of epidemiology application. Moreover, it is recommended toconduct SD-CBL teaching model in students, who are major in medicine and have good science basis.
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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 | 0.010 | 0.003 |
| 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 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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