Using Group Learning to Promote Integration and Cooperative Learning between Asian and Australian Second-Year Veterinary Science Students
Bibliographic record
Abstract
There is a tendency for students from different nationalities to remain within groups of similar cultural backgrounds. The study reported here used group project work to encourage integration and cooperative learning between Australian students and Asian (Southeast Asian) international students in the second year of a veterinary science program. The group project involved an oral presentation during a second-year course (Structure and Function), with group formation engineered to include very high, high, moderate, and low achievers (based on previous grades). One Asian student and three Australian students were placed in each group. Student perceptions of group dynamics were analyzed through a self-report survey completed at the end of the presentations and through group student interviews. Results from the survey were analyzed by chi-square to compare the responses between Asian and Australian students, with statistical significance accepted at p < 0.05. There were too few Asian students for statistical analysis from a single year; therefore, the results from two successive years, 2004 (N = 104; 26% Asian) and 2005 (N = 105; 20% Asian), were analyzed. All participating students indicated in the interviews that the project was worthwhile and a good learning experience. Asian students expressed a greater preference for working in a group than for working alone (p = 0.001) and reported more frequently than Australian students that teamwork produces better results (p = 0.01). Australian students were more likely than Asian students to voice their opinion in a team setting (p = 0.001), while Asian students were more likely to depend on the lecturer for directions (p = 0.001). The results also showed that group project work appeared to create an environment that supported learning and was a successful strategy to achieve acceptance of cultural differences.
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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 | 0.002 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 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 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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".