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Factors Influencing University Students' <scp>AI</scp> Use and Knowledge Acquisition

  • Proceedings of the Association for Information Science and Technology
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Abstract

ABSTRACT Despite the growing emphasis on artificial intelligence (AI) education, there is relatively little research on the motivational factors that influence students' intention regarding AI knowledge acquisition and the utilization of AI applications. Understanding these factors helps educators and researchers to develop appropriate interventions to promote AI education. Guided by expectancy‐value theory and theory of planned behavior, we examined how university students' beliefs influenced their motivation to learn about and engage with AI technologies. Our findings demonstrated the significant role of expectancy‐value beliefs in shaping students' behavioral intention. Additionally, we identified gender differences, which can inform educators in designing gender‐specific interventions to enhance female students' motivation in AI learning.

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Publication details

DOI
10.1002/pra2.1218
OpenAlex
W4403433770
Document type
article
Language
EN
Source
Proceedings of the Association for Information Science and Technology
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