Students' perceptions of ethicality and of rule compliance were strongly and positively correlated, with rule ratings consistently higher than ethicality ratings¶
Claim · All claims
Evidence · 1 study · associationalr1·q2·i3large
Currency · newest study 2025 · not yet checked against its sources · not reviewed by a person · recheck by 2030: baselines and conditions change
Subclaims¶
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q2 i3 Across eight scenarios, students' perception of whether the actor acted unethically was strongly correlated with their perception that the actions were against the rules (r = 0.8524, p<0.0001), and mean rule ratings exceeded mean unethicality ratings. → 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 · i3 · associational · r1
Pearson correlation across the pooled survey sample (r = 0.8524, p<0.0001) between ethicality and rule-compliance perceptions; a paired t-test (C(295) = 7.9879, p<0.0001) showed mean "Acted unethically" ratings were consistently lower than "Against the rules" ratings.
"showing a strong and statistically significant correlation between a student's perception of whether Alice acted unethically, and whether her actions would be against the rules at their institution (A(294) = 0.8524, p<0.0001)."
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 as against institutional rules, despite functionally identical policies — related
- Canadian students were more likely than South Korean students to judge GenAI-assisted coding scenarios as unethical — related
- Students distinguish learning-support GenAI uses from substitutionary uses, with uncertainty highest for minimally modified AI content — related
- Awareness of institutional GenAI regulations does not automatically translate into clarity about rule-compliant use — related
Page metadata
| Field | Value |
|---|---|
type |
claim |
id |
ethicality-and-rule-compliance-perceptions-strongly-correlated |
title |
Students' perceptions of ethicality and of rule compliance were strongly and positively correlated, with rule ratings consistently higher than ethicality ratings |
description |
Students' perceptions of ethicality and of rule compliance were strongly and positively correlated, with rule ratings consistently higher than ethicality ratings |
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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