Rethinking Multicultural Group Work as Intercultural Learning
Bibliographic record
Abstract
This article presents our findings of an exploration of students’ perceptions of multicultural group work when specific changes in pedagogy and methods of evaluation were made to include the processes students navigate, instead of merely the end product of their collaboration. Shifting demographics and increasing cultural diversity in higher education classrooms have presented the need for educators to rethink the formation, preparation, and evaluation of group work. This paper argues for learning to include the process of working with others rather than merely the product of group work. The findings from this study support previous literature advocating for more intentional approaches by providing evidence that changes to the preparation of groups, the formation of groups, and the evaluation of group work enhanced intercultural learning and improved the experience of working in a multicultural group for the majority of the participants.
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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 | 0.042 | 0.043 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.001 |
| Science and technology studies | 0.009 | 0.038 |
| Scholarly communication | 0.016 | 0.014 |
| Open science | 0.004 | 0.024 |
| Research integrity | 0.002 | 0.005 |
| Insufficient payload (model declined to judge) | 0.003 | 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".