Students’ perception of the learning environment at Xavier University School of Medicine, Aruba: a follow-up study
Bibliographic record
Abstract
Xavier University School of Medicine admits students mainly from the United States and Canada to the undergraduate medical program. A previous study conducted in June 2013 used the Dundee Ready Educational Environment Measure to measure the educational environment and impact of different teaching and learning methods in the program. The present study aims to obtain information about students' perceptions of changes in the educational environment, which underwent modifications in teaching and learning, in January 2014. Information was collected about the participants' semester of study, gender, nationality, and age. Students' perceptions of the educational environment were documented by noting their degree of agreement with a set of 50 statements grouped into five categories. Average scores were compared among different groups. The mean total and category scores were compared to those of the 2013 study. Sixty of the sixty-nine students (86.9%) who enrolled in the undergraduate medical program participated in the survey. The majority were male, aged 20-25 years, and of American nationality. The mean±SD total score was 151.32±18.3. The mean scores for students' perception in the survey categories were perception of teaching/learning (38.45), perception of teachers (33.90), academic self-perceptions (22.95), perception of atmosphere (36.32), and social self-perception (19.70). There were no significant differences in these scores among the different groups. All scores except those for academic self-perception were significantly higher in the present study compared to the previous one (P<0.05). The above results will be of particular interest to schools that plan to transition to an integrated curriculum.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".