Data Students’ Intention to Use Large Language Model Agents for Learning Support A Mixed-Methods Study Extending the UTAUT Model

Published: 9 March 2026| Version 2 | DOI: 10.17632/zgj9fd4m27.2
Contributors:
JiaRong FAN, menghan Huang, xueyan Zhao, yannan Fang, haoyan Zhang, jijian Lu

Description

Data collection was conducted through an online survey platform targeting Chinese university students. Potential respondents were recruited through the questionnaire link shared by university teachers and students. To ensure data authenticity, eligibility criteria required participants to have prior experience with LLM Agents. The data collection spanned 7 weeks, with intermittent reminders to enhance participation rates. A total of 326 responses were collected, and after excluding invalid entries , 306 valid questionnaires were retained, achieving a validity rate of 93.9%.

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