Survey Dataset for “The Promise–Threat Paradox of Conversational AI in Arts Education: How AI Identity Threat and AI Career Anxiety Shape the Intention–Use Relationship

The remaining 28 measurement items assess nine constructs: task–technology fit, cognitive offloading, C-AI interaction quality, AI interaction positivity, perceived AI empathy, C-AI behavioral intention, C-AI actual use, AI identity threat, and AI career anxiety. All measurement items were assessed using a five-point Likert scale ranging from 1 (strongly disagree) to 5 (strongly agree). The variables are numerically coded, and the dataset contains no directly identifying information or missing values among the 946 valid cases.

The data can be used for replication and secondary analyses involving partial least squares structural equation modeling, fuzzy-set qualitative comparative analysis, artificial neural networks, technology adoption, AI-assisted arts education, and career-related risks. The study was approved by the Academic Ethics Committee of the School of Film and Communication, Xiamen University of Technology (Approval No. XUT-AEC-2026-01; January 17, 2026).