An Attempt to Estimate Students’ Workload
Bibliographic record
Abstract
Following the recent introduction of the European Credit Transfer System (ECTS) into several European university programs, a new interest has developed in determining students' workload. ECTS credits are numerical values describing the student workload required to complete course units; ECTS has the potential to facilitate comparison and create transparency between institutional curricula. ECTS credits are frequently listed alongside institutional credits in course outlines and module summaries. Measuring student workload has been difficult; to a large extent, estimates are based only upon anecdotal and casual information. To gather more systematic information, we asked students at the Veterinary Faculty, University of Ljubljana, to estimate the actual total workload they committed to fulfill their coursework obligations for specific subjects in the veterinary degree program by reporting their attendance at defined contact hours and their estimated time for outside study, including the time required for examinations and other activities. Students also reported the final grades they received for these subjects. The results show that certain courses require much more work than others, independent of credit unit assignment. Generally, the courses with more contact hours tend also to demand more independent work; the best predictor of both actual student workload and student success is the amount of contact time in which they participate. The data failed to show any strong connection between students' total workload and grades they received; rather, they showed some evidence that regular presence at contact hours was the most positive influence on grades. Less frequent presence at lectures tended to indicate less time spent on independent study. It was also found that pre-clinical and clinical courses tended to require more work from students than other, more general subjects. While the present study does not provide conclusive evidence, it does indicate the need for further inquiry into the nature of the relationship between teaching and learning in higher education and for evaluation of the benefits (or otherwise) of more "self-directed" study.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.004 | 0.003 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.000 |
| 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".