Self-directed learning during problem-based learning sessions
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
<ns4:p>This article was migrated. The article was marked as recommended. Purpose: The study aimed to obtain student perceptions about the influence of problem-based learning on self-directed learning skills among undergraduate basic science medical students. Methods: A cross-sectional study was conducted among first to sixth-semester undergraduate medical students during the last week of July 2016. A previously used instrument was used after obtaining written permission from the developers. The data was analyzed using statistical package for social sciences version 20. The free text comments were tabulated. Results: Fifty-two of the 90 students (58%) participated. The majority of respondents were between 20 to 30 years of age, and of either American or Canadian nationality. The gender distribution was nearly equal. The mean self-management of learning, independent pursuit of learning, learner control of instruction and personal autonomy scores were 2.95, 2.94, 2.98 and 2.87 (maximum possible score being 4). There were no significant differences in the mean domain scores according to age group, gender, and nationality of respondents. Conclusion: Respondents in the present study showed good scores on most statements related to the four dimensions of self-directed learning. Due to the hybrid nature of the curriculum and due to lectures being the dominant teaching-learning strategy, students may have devoted less effort and time to the PBL topics.</ns4:p>
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.002 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.003 | 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) | 0.002 | 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