Application of an Interactive Computer Program to Manage a Problem‐Based Dental Curriculum
Why this work is in the frame
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Bibliographic record
Abstract
Managing the change from traditional to problem-based learning (PBL) curricula is complex because PBL employs problem cases as the vehicle for learning. Each problem case covers a wide range of different learning issues across many disciplines and is coordinated by different facilitators drawn from the school's multidisciplinary pool. The objective of this project was to adapt an interactive computer program to manage a problem-based dental curriculum. Through application of a commercial database software--CATs (Curriculum Analysis Tools)--an electronic database for all modules of a five-year problem-based program was developed. This involved inputting basic information on each problem case relating to competencies covered, key words (learning objectives), participating faculty, independent study, and homework assignments, as well as inputting information on contact hours. General reports were generated to provide an overview of the curriculum. In addition, competency, key word, manpower, and clock-hour reports at three levels (individual PBL course component, yearly, and the entire curriculum) were produced. Implications and uses of such reports are discussed. The adaptation of electronic technology for managing dental curricula for use in a PBL curriculum has implications for all those involved in managing new-style PBL dental curricula and those who have concerns about managing the PBL process.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 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 | 0.000 |
| 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