Harrington et al. (2026) — University of Toronto Scarborough & international partners. arXiv preprint (cs.CY).
A scenario-based survey (Fall 2024) comparing how computing students at Canadian and South Korean universities judged the ethicality and policy compliance of AI-assisted coding practices. Despite functionally identical institutional policies, Canadian students were consistently and significantly more likely to rate GenAI use as unethical and against the rules (Mann-Whitney U tests across nearly all scenarios). Culture, not policy text, drove the perceived wrongness of identical behaviors.\n\nThe result complicates the wiki's academic-integrity thread: policy harmonization does not produce perception harmonization, so multi-national or culturally diverse cohorts will interpret the same rules differently \u2014 an equity concern for enforcement and grading. It extends student-perception-ai-use-collaboration and genai-impact-chinese-students-hss with direct cross-national comparison in computing education, and argues that genai-policies-higher-ed-computing need culturally aware communication, worked examples, and scenario-based clarification rather than abstract rule statements.
Related Pages
- academic-integrity — related wiki thread
- student-perception-ai-use-collaboration — related wiki thread
- genai-policies-higher-ed-computing — related wiki thread
- equity — related wiki thread
- genai-impact-chinese-students-hss — related wiki thread