AI Literacy, Epistemic Beliefs, and Academic Dishonesty Across Institutional Contexts

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Authors: Guang Yang, Jinhee Kim, Jian Chen, Kaibing Hao, na li
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Abstract

This study explores the relationships among AI Literacy, Epistemic Beliefs, and Academic Dishonesty across different institutional types, comparing university and technical-vocational college students in China. Data were collected via self-reported surveys and analyzed using Propensity Score Matching (PSM), PROCESS mediation analysis, and Ordinary Least Squares (OLS) regression in R. The dataset includes two files: (1) Questionnaire - Contains the survey items and detailed descriptions of the integrated measurement scales. (2) Dataset - Contains participants' responses to the survey. Further information on the research framework, methodology, and findings can be found in the associated research paper.

Fields of Study & Subjects

Academic integrity and plagiarism Educational Strategies and Epistemologies Artificial Intelligence in Education

Publication details

Journal / source
Mendeley Data
Publication date
14 January 2026
Document type
Dataset