Workload, Study Methods, and Motivation of Students within a BVSc Program
Bibliographic record
Abstract
The workloads, study methods, and motivation of students in a five-year BVSc program were studied using questionnaires and focus groups. Students in each year of the program were asked, on three occasions over an academic year, to record details of their out-of-class study time for each course they were taking and to record the study methods they used, how they prioritized their time between subjects, and how they allocated time to study and leisure activities. Mean response rates were 57% (range: 43-85%). Overall mean out-of-class study time ranged from 19 hours per week in Year 2 to 28 hours per week in Year 4. Study time was related to the level of interest the student had in the subject, the demands of assessments, and the number of subjects being studied. Study methods were related to students' perceptions of the requirements of the subject as well as to their interest in it. Reliance on memorization and the use of set study materials were the predominant methods for courses with low interest scores, whereas higher interest was associated with a broad range of study methods. Leisure time was ring-fenced, especially when workloads were high. Students' motivation was high when they were studying subjects that were new or were seen as relevant to clinical practice; when working with animals or with enthusiastic faculty members; and when involved in subjects more tightly focused on the ultimate goal of becoming a practitioner. It was poor when students were faced with high workloads, disciplines becoming "stale," excessive detail, and low perceptions of relevance. Constant assessment activities were also seen as a burden. In terms of good learning practices, workload and the demands of assessment were considered to be antagonistic. A tension between these perceptions of students and the values of faculty in terms of the development of critical thinking skills in the program is evident.
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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 | 0.003 | 0.015 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.000 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 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 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".