Perception of students about the problem-based learning sessions conducted for medical and dental schools' students of Universiti Sains Malaysia
Bibliographic record
Abstract
In the School of Medical Sciences (SMS) and the School of Dental Sciences(SDS), Universiti Sains Malaysia (USM), both the MD and DDS programsrespectively are 5 year integrated programs. The full 5 year program isdivided into 3 phases and each curriculum is problem-based and communityoriented.Phase II consists of years two and three and introduces different healthevents of human life with reference to integrated knowledge on commondiseases. Teaching and learning in this phase includes lectures, practical, fixedlearning modules, clinical clerkship and problem-based learning sessions. APBL session consists of 2–3 hours with a group of 14–16 students and tutorsfrom all disciplines act as facilitators for the sessions.Since its implementation at McMaster University in 1969, PBL has becomeworldwide with variations on implementation (Albanese & Mitchell, 1993).The experience of PBL can be stressful both for students and faculty andimplementation of PBL may be unrealistically costly. There are few studies on
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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 | 0.009 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.005 | 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".