Virtual International Experiences in Veterinary Medicine: An Evaluation of Students’ Attitudes toward Computer-Based Learning
Bibliographic record
Abstract
While many studies have evaluated whether or not factual information can be effectively communicated using computer-aided tools, none has focused on establishing and changing students' attitudes toward international animal-health issues. The study reported here was designed to assess whether educational modules on an interactive computer CD elicited a change in veterinary students' interest in and attitudes toward international animal-health issues. Volunteer veterinary students at seven universities (first-year students at three universities, second-year at one, third-year at one, and fourth-year at two) were given by random assignment either an International Animal Health (IAH) CD or a control CD, ParasitoLog (PL). Participants completed a pre-CD survey to establish baseline information on interest and attitudes toward both computers and international animal-health issues. Four weeks later, a post-CD questionnaire was distributed. On the initial survey, most students expressed an interest in working in the field of veterinary medicine in another country. Responses to the three pre-CD questions relating to attitudes toward the globalization of veterinary medicine, interest in foreign animal disease, and inclusion of a core course on international health issues in the veterinary curriculum were all positive, with average values above 3 (on a five-point scale where 5 represented strong agreement or interest). Almost all students considered it beneficial to learn about animal-health issues in other countries. After students reviewed the IAH CD, we found a decrease at four universities, an increase at one university, and no change at the remaining two universities in students' interest in working in some area of international veterinary medicine. However, none of the differences was statistically significant.
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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 | 0.013 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 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 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".