A nationwide study on generative AI knowledge, motivation, and emotional responses in predicting students’ perceived need for AI education

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Authors: Seyoung Lee, Changho Lee, Gain Park
Cited by: 4
References: 27

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.

Fields of Study & Subjects

Artificial Intelligence in Healthcare and Education Ethics and Social Impacts of AI AI in Service Interactions

Publication details

Journal / source
Telematics and Informatics
Publisher
Elsevier BV
Volume
105
Pages
102372–102372
Publication date
18 January 2026
Language
EN