An intercontinental inquiry on multicultural education: Canadian and Hong Kong university students connected through a Web 2.0 learning environment
Bibliographic record
Abstract
Adopting Cummins’ model of intervention for collaborative empowerment, this study reports on a transnational project that examines (1) the effectiveness of enhancing critical cultural awareness by engaging culturally diverse university students in online discussions and (2) students’ perspectives on understanding different cultures through mass media and technology advances. Thirty-five Canadian and 47 Hong Kong university students participated in the project integrating aspects of multicultural education. The results of thematic analysis of the scripts of their postings showed that the innovative learning environment provided students an authentic and constructive intercultural learning experience. It enhanced their cultural sensitivity and competence and reinforced their critical awareness of various texts, information, and discourse arising from the use of new technologies. The results indicated that, when paired with appropriate instructional design, Web 2.0 technologies have a great potential to facilitate multicultural education and practices through effectively forming transnational learning communities that harness the strengths of diverse students.
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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 | 0.006 | 0.007 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.026 | 0.008 |
| Scholarly communication | 0.006 | 0.003 |
| Open science | 0.002 | 0.007 |
| Research integrity | 0.001 | 0.003 |
| 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 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".