The effectiveness of webcast compared to live lectures as a teaching tool in medical school
Bibliographic record
Abstract
OBJECTIVE: The purpose of this study is to investigate whether webcast lectures are comparable to live lectures as a teaching tool in medical school. METHODS: Three Otolaryngology-Head&Neck Surgery (OTO-HNS) lectures were given to third year medical students through their regular academic curriculum with one group receiving lectures in a live lecture format and the other group in a webcast format. All lectures (live or webcast) were given by the same lecturer and contained identical material. Three outcome measures were used: a student satisfaction survey, performance on the OTO-HNS component of their written examination, and performance on an OTO-HNS OSCE station in the general end of year OSCE examination session. RESULTS: Students performance on the written examination was equal between the two groups. The webcast group outperformed the live lecture group in the OSCE station. The majority of students in the webcast group felt it was an effective learning tool for them. Most viewed the lectures more than once, and felt that this was beneficial to their learning. CONCLUSION: Webcasts appear equally effective to live lectures as a teaching tool.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.013 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.007 | 0.001 |
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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".