A study on students' behavioural intention and use behaviour of artificial intelligence-generated content in physical education: Employing an extended the unified theory of acceptance and use of technology model
Qianjin Wu , Shanshan Li , Shuang Xin , Qian Hou , Ping Li
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引用次数: 0
Abstract
This study examines factors affecting AIGC acceptance among physical education students using the UTAUT model and perceived risk. Analyzing 414 Chinese students via PLS-SEM reveals that performance expectancy, social influence, facilitating conditions, and perceived risk significantly influence behavioural intention, whereas effort expectancy does not. Both facilitating conditions and behavioural intention positively influence use behaviour, with the impact of facilitating conditions being partially mediated by behavioural intention. Gender does not moderate these relationships. Findings suggest promoting AIGC in sports teaching by enhancing performance expectancy, leveraging social influence, optimizing facilitating conditions, and improving risk education.
期刊介绍：
The Journal of Hospitality, Leisure, Sport and Tourism Education (JoHLSTE) is the leading international, peer-reviewed educational journal for this subject grouping. Its aims are to: a) Promote, enhance and disseminate research, good practice and innovation in all aspects of higher education in Hospitality, Leisure, Sport and Tourism and Events to its prime audience including teachers, researchers, employers, and policy makers. b) Encourage greater understanding, links and collaboration across its constituent fields. JoHLSTE is designed to have maximum impact through it being available on-line, fully archived and peer-reviewed. JoHLSTE is divided into seven sections: Editorial; Academic Papers; Practice Papers, Perspectives, Comments and Rejoinders, Research Notes and Reports and Education Resource Reviews.
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