Sunday, 27 July 2025

Integrating Artificial Intelligence into Learning: An Examination of User Intention, Behavior and Satisfaction | Chapter 11 | Crisis, AI and the Future of Higher Education

 

The rapid advancement of artificial intelligence (AI) has significantly transformed the educational landscape, offering new opportunities to enhance learning experiences. This study explores the relationships among university students’ attitudes toward AI learning tools (AIUI), their usage behaviours (AIUB), and their user satisfaction (AIUS) within the Chinese context. A quantitative research design was employed, involving a cross-sectional survey of 263 valid responses. A convenience sampling method was used to select the study sample. The survey was conducted via a social media platform and an online survey tool. Data were analysed using Partial Least Squares Structural Equation Modelling (PLS-SEM) with Smart PLS 4.0 software. The findings reveal that AIUI positively influences both AIUB and AIUS. However, AIUB shows a non-significant direct effect on AIUS, indicating that user satisfaction is more closely related to initial attitudes than usage frequency. These findings underscore the importance of fostering positive attitudes toward AI learning tools and provide valuable insights for educators and developers aiming to improve educational outcomes through AI integration. One significant limitation of this study is the potential for geographical bias, as all participants were from universities in Jiangsu Province, China. Therefore, future research should include a more diverse sample, encompassing students from different regions, educational levels, and cultural backgrounds to gain a more comprehensive understanding of attitudes and behaviours related to AI learning tools.

 

Author(s) Details

Yuanyuan Shi
School of Teacher Education, Jiangsu University, Zhenjiang, Jiangsu, 212013, China.

 

Please see the link:- https://doi.org/10.9734/bpi/mono/978-81-990398-9-6/CH11

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