Analysis of the psychological impact of Problem Based Learning (PBL) towards self directed learning among students in undergraduate medical education
Bibliographic record
Abstract
The psychological impact of a learning tool towards self directed learning is an important outcome of medical education. Although problem based learning is believed to facilitate self directed learning, previous studies have reported conflicting results. This longitudinal survey explored the perceived psychological changes in self directed learning for two and a half years in an undergraduate phase 1 medical education program with an integrated problem-based learning curriculum. 170 of 200 students (response rate, 85%) completed the Self-Directed Learning Readiness Scale at five different time points: at the beginning of each semester year and at program completion. Scores were significantly lower during the first semester compared with other years, and fifth semester scores were significantly higher than in previous years. Scores on the three subscales (i.e., self-management, desire for learning, and self-control) increased significantly during the five semesters years of the programme. These findings support self-directed learning as a maturational process seen psychologically by the students. Implications for medical faculty and curriculum development are discussed.
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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 | 0.010 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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 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".