A Comparison of Linear, Fixed-Form Computer-Based Testing versus Traditional Paper-and-Pencil-Format Testing in Veterinary Medical Education
Bibliographic record
Abstract
Computerized testing has made significant inroads into veterinary education. Traditional paper-and-pencil examination formats are being replaced by computer-based testing (CBT). Computer-administered, fixed-form tests, because they mimic most closely the familiar fixed-response paper-and-pencil test formats, might intuitively seem to be inherently equivalent to their paper-and-pencil counterparts. However, research examining test-mode effects on student performance presents a very mixed picture. Additionally, students often report that they feel their performance is adversely affected by CBT and that their grades on the computer-based exams are lower than they would have been on the more familiar paper-and-pencil format. In order to address student perceptions of negative impact and the mixed nature of the published research results on the topic, a study was conducted to assess whether the transition from paper-and-pencil to equivalent linear CBT exams did, in fact, affect students' examination scores. This study found no evidence for significant test-mode effects on student scores as a result of the introduction of computer-based testing into the veterinary curriculum.
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.
How this classification was reachedexpand
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 | 0.003 | 0.007 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 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) | 0.001 | 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 teacher head, 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".