Canadian students were more likely than South Korean students to judge GenAI-assisted coding as against institutional rules, despite functionally identical policies¶
Claim · All claims
Evidence · 1 study · associationalr1·q2
Currency · newest study 2025 · not yet checked against its sources · not reviewed by a person · recheck by 2030: baselines and conditions change
Subclaims¶
Reading the evidence codes
q is the design tier, i the impact, n the sample, and the kind with its r
the rigour judged within that kind: what each code means.
This claim: no standardized effect is recorded in observations/ for it yet, so no benchmark reading is possible.
q2 i? Canadian students rated the scenario actions as against the rules at their institution more than Korean students (mean 2.81 vs 1.80), even though the actual rules at the two institutions were functionally identical. → Brian Harrington 2025
Evidence¶
Brian Harrington 2025¶
Brian Harrington, Irina Zlotnikova, Gayathri Nadarajan, and Samuel Ekundayo. (2025). Did Alice Do Wrong? Cross-Cultural Differences in Student Perceptions of Generative AI Use in University Computing Education. ACM Trans. Comput. Educ. 26, 1, Article 15. https://doi.org/10.1145/3776558
q2 · i? · associational · r1
Same scenario-based survey (262 CAN, 48 KOR). Rule-compliance judgments differed significantly between countries (overall rank-based comparison I=7.43, p<0.00001), with Canadian students rating rule violations higher despite "functionally identical" institutional policies at both sites.
"and that what Alice did would be against the rules at their institution (CAN mean = 2.81, KOR mean = 1.80). This was despite the actual rules at the two institutions being functionally identical."
Discussion¶
Related Claims¶
- The amount of AI-generated code in a submission was the dominant factor influencing students' ethical and rule-compliance judgments — related
- Canadian students were more likely than South Korean students to judge GenAI-assisted coding scenarios as unethical — related
- Canadian and Korean students did not differ significantly in overall opinions about GenAI's impact on academic integrity and learning quality, and academic progress did not affect scenario judgments — related
- Students' perceptions of ethicality and of rule compliance were strongly and positively correlated, with rule ratings consistently higher than ethicality ratings — related
- Teachers with constructivist beliefs are more likely to integrate educational AI-based tools than teachers with transmissive orientations (reported from a South Korean teacher study) — related
- Undifferentiated GenAI integrity rules convert linguistic disadvantage into integrity risk for EAL students — related
Page metadata
| Field | Value |
|---|---|
type |
claim |
id |
canadian-students-judge-genai-use-more-against-rules-than-korean |
title |
Canadian students were more likely than South Korean students to judge GenAI-assisted coding as against institutional rules, despite functionally identical policies |
description |
Canadian students were more likely than South Korean students to judge GenAI-assisted coding as against institutional rules, despite functionally identical policies |
status |
review |
evidence_strength |
moderate |
newest_evidence |
2025 |
recheck_by |
2030 |
generated |
by process:wiki-ingest on 2026-10-10 |
trust |
unverified — no one has confirmed this page's content |
sources |
1 — brian-harrington-2025 |
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