AI literacy shows a small positive association with ethical scenario classification accuracy¶

Claim · All claims
Evidence · 1 study · associational r2 · q3 · i1 small
Currency · newest study 2026 · not yet checked against its sources · not reviewed by a person

Subclaims¶

q3 i1 Higher Non-Ethics GLAT scores were associated with correctly classifying more scenarios, ρ = 0.234, p < .001, a small association. → 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 · i1 · associational · r2

Primary Spearman rank-order correlation in the RQ2 results, chosen because the outcome was discrete with a ceiling effect. The article reports "ρ = 0.234, p < .001, N = 531"; a Pearson sensitivity analysis produced r(529) = 0.213, p < .001.

"A small positive association was found between Non-Ethics GLAT scores and the number of ethical scenarios correctly classified, ρ = 0.234, p < .001, N = 531."

Discussion¶

Related Claims¶

• Each additional correct GLAT response is associated with a 13.9% increase in modeled odds of correctly classifying a scenario — possibly the same claim (merge candidate)
• Undergraduate students classify common GenAI ethical scenarios with high accuracy, with a pronounced ceiling effect — related
• Academic status shows a significant overall association with classification accuracy, but sex does not; individual status contrasts are exploratory — related
• AI literacy is the strongest predictor of reliance type: each unit increase in AI literacy is associated with roughly a tenfold reduction in the odds of Dependent versus Strategic classification — related