Factors to Consider When Designing Multimedia CBL Tools in Health Professional Programs
Why this work is in the frame
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Bibliographic record
Abstract
Multimedia case studies are effective constructivist instructional tools that can help to design contextually authentic scenarios while also scaffolding instruction to help students move beyond their current skill and knowledge base. Although there are many advantages of using multimedia case-based learning, there are also many challenges associated with designing technology-enhanced case studies for constructivist learning. The research described herein presents the advantages and challenges that emerged from three unique learning environments in health professional education programs. In each of these environments, a multimedia educational tool (named the multimedia case-based learning sports injury assessment educational tool) was designed to engage students in authentic sport injury case scenarios. Feedback was gathered from multiple stakeholders in each learning context and used to explore the effectiveness of this technology-enhanced pedagogical approach.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| 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