A nationwide study on generative AI knowledge, motivation, and emotional responses in predicting students’ perceived need for AI education
Abstract
The use of generative AI (GenAI) technologies, such as ChatGPT, Midjourney, and Claude, is rapidly expanding across education, research, and various industries, becoming an indispensable tool in everyday life. However, timely and adequate education is necessary for the effective and ethical utilization of such technologies. This study examines users’ psychological mechanisms behind GenAI knowledge and education by incorporating a knowledge-motivation-emotion-education pathway and provides practical implications for educational institutions. To that end, this study analyzed a nationwide sample of 3,959 middle and high school students who participated in a survey. The results revealed that GenAI knowledge significantly increased intrinsic and extrinsic motivation, which in turn increased the degree of emotional response. The results also supported the notion that emotional responses positively predict the perceived need for GenAI education. Moreover, the results revealed a significant indirect relationship between GenAI knowledge and educational needs through intrinsic motivation and emotional responses both individually and serially. The individual mediation of extrinsic motivation between GenAI knowledge and educational needs was not significant; however, serial mediation through extrinsic motivation and emotional responses was significant.
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Affective dimensions of human-GenAI interaction (anxiety, motivation, confidence, and frustration) have been discussed but are rarely incorporated as theoretically meaningful predictive pathways in quantitative models.
“While affective dimensions of human-GenAI interaction (anxiety, motivation, confidence, and frustration) have been discussed [32, 33], they are rarely incorporated as theoretically meaningful predictive pathways in quantitative models.”
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- Authors
- Lee, S., Lee, C.-H., & Park, G.
- Affiliations
- Sungkyunkwan University (KR)
- Sejong University (KR)
- Corresponding author
- Park, Gain
- Venue
- Telematics and Informatics
- Publisher
- Elsevier BV
- Published
- 2026-02
- Volume
- 105
- Pages
- 102372
- ISSN
- 0736-5853 (ISSN-L)
- OpenAlex
- W7124678554
- Cited by
- 5
- References
- 27
- Citations by year
- 2026: 5
- FWCI
- 41.91
- Type
- journal article
- Language
- en
- Open access
- closed
- Licence
- Locations
- Telematics and Informatics (publishedVersion)
- Funders
- National Youth Policy Institute
- Topics
- Physical Sciences › Computer Science › Information Systems › Artificial Intelligence in Education
- Social Sciences › Gender Studies › Gender and Technology in Education
- Health Sciences › Medicine › Health Informatics › Artificial Intelligence in Healthcare and Education
- Keywords
- generative AI, AI literacy education, AI knowledge, intrinsic motivation, extrinsic motivation, emotional responses, middle and high school students, serial mediation, ChatGPT
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