Undergraduate students classify common GenAI ethical scenarios with high accuracy, with a pronounced ceiling effect¶
Claim · All claims
Evidence · 1 study · associationalr1·q3
Currency · newest study 2026 · not yet checked against its sources · not reviewed by a person · recheck by 2031: baselines and conditions change
Subclaims¶
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q3 i? Undergraduate students demonstrated generally high levels of ethical judgment when classifying six GenAI scenarios, with 57.6% correctly identifying all six scenarios. → Reed 2026
Evidence¶
Reed 2026¶
Reed, J. M., Ferdig, R. E., Dodson, T. M., Gunstad, J., & Hughes, J. W. (2026). AI Literacy and Scenario-based Ethical Judgment About Generative AI Among Undergraduate Students. Journal of Academic Ethics. https://doi.org/10.1007/s10805-026-09757-w
q3 · i? · associational · r1
Cross-sectional survey of 531 undergraduates recruited through two psychology courses. Descriptive results for RQ1 show a mean correct classification of 88.54% and "a pronounced ceiling effect, with more than half of participants (57.6%, n = 306) correctly identifying all six scenarios".
"The mean percentage of ethical scenarios answered correctly was 88.54%, indicating generally high levels of ethical judgment. Score distributions revealed a pronounced ceiling effect, with more than half of participants (57.6%, n = 306) correctly identifying all six scenarios (100%)."
Discussion¶
Related Claims¶
- AI literacy shows a small positive association with ethical scenario classification accuracy — related
- Students distinguish learning-support GenAI uses from substitutionary uses, with uncertainty highest for minimally modified AI content — related
- Each additional correct GLAT response is associated with a 13.9% increase in modeled odds of correctly classifying a scenario — related
- Participants answered the VISIGARP inspection exercises with high accuracy (M = 94.3%) — related
Page metadata
| Field | Value |
|---|---|
type |
claim |
id |
undergraduates-high-accuracy-genai-ethical-scenarios |
title |
Undergraduate students classify common GenAI ethical scenarios with high accuracy, with a pronounced ceiling effect |
description |
Undergraduate students classify common GenAI ethical scenarios with high accuracy, with a pronounced ceiling effect |
status |
review |
evidence_strength |
moderate |
newest_evidence |
2026 |
recheck_by |
2031 |
generated |
by process:wiki-ingest on 2026-10-11 |
trust |
unverified — no one has confirmed this page's content |
sources |
1 — reed-2026 |
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