Psychological and technological predictors of AI literacy profiles: a latent profile analysis among Chinese college students

This study underscores the heterogeneity of AI literacy within the college student population and detects four distinct AI literacy profiles with unique psychological and technological traits. The findings indicate that students' AI literacy is profoundly affected by emotional tendencies, motivational drives, and technological variables, highlighting the need for tailored educational strategies that address the distinct psychological and technological drivers of each literacy profile.

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Publication Details

Journal
BMC Psychology
Published
2026-01-26
DOI
https://doi.org/10.1186/s40359-026-04047-x
Primary Topic
Teaching and Learning Programming
Type
article
Field-Weighted Citation Impact
0.00
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article

Psychological and technological predictors of AI literacy profiles: a latent profile analysis among Chinese college students

Bochun Kang, Yuanyuan Zhang
BMC Psychology
Teaching and Learning Programming
article

Psychological and technological predictors of AI literacy profiles: a latent profile analysis among Chinese college students

Bochun Kang, Yuanyuan Zhang
article en

Abstract

This study underscores the heterogeneity of AI literacy within the college student population and detects four distinct AI literacy profiles with unique psychological and technological traits. The findings indicate that students' AI literacy is profoundly affected by emotional tendencies, motivational drives, and technological variables, highlighting the need for tailored educational strategies that address the distinct psychological and technological drivers of each literacy profile.

BMC PsychologyVol. 14(1)
Anyang Institute of Technology (CN)
Quality Education
Openalex Percentile: Top 83%
Teaching and Learning Programming
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