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Antecedents of University Students’ Intention to Adopt AI in Learning: Evidence from a Hong Kong Survey

  • Jun 1, 2025
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Abstract Book of the 8th World Conference on Teaching and Education

Year: 2025

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Antecedents of University Students’ Intention to Adopt AI in Learning: Evidence from a Hong Kong Survey

Po Yan Lai, Eunice Lai Yiu Tang, Cecilia Ka Wai Chun

 

ABSTRACT:

This study aims to understand the psychological factors that drive university students to use artificial intelligence tools in learning. With the latest generative AI models achieving unprecedented sophistication, educators’ roles in teaching students to utilise the technology responsibly are becoming increasingly important. A growing body of research on students’ AI adoption has produced insights to support teachers in developing pedagogical practices that align with students’ perceptions and use of AI. However, understanding of the underlying cognitive and affective factors affecting students’ behaviours remains limited. To address this gap, this study administered an online survey to examine the effects of multiple behaviour predictors on AI adoption intention. The survey instrument was developed by incorporating affective components into existing technology acceptance theories. The dataset comprises 1,113 responses, primarily from Hong Kong undergraduate students from various academic disciplines. Effects of the behaviour predictors were analysed using structural equation modelling techniques. Results revealed that students demonstrate a stronger intention to use AI tools in learning when they possess a more positive attitude and greater control towards AI use, as well as when they perceive greater normative influence. Notably, the study generated new evidence and insights on how perceived usefulness, perceived risk, anticipated positive affect (such as anticipated pride), and anticipated negative affect (such as anticipated guilt) shape students’ adoption intention. This presentation discusses findings and their implications for educators, contributing to the development of effective teaching strategies that facilitate students’ responsible AI use.

Keywords: survey, higher education, technology adoption, responsible AI use, educational psychology