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Factors Influencing College Students' Satisfaction with Generative AI

  • Journal of The Korea Society of Computer and Information
  • Abbr : JKSCI
  • 2024, 29(9), pp.299-306
  • DOI : 10.9708/jksci.2024.29.09.299
  • Publisher : The Korean Society Of Computer And Information
  • Research Area : Engineering > Computer Science
  • Received : July 4, 2024
  • Accepted : September 9, 2024
  • Published : September 30, 2024

CHO HANRA 1 Sung-Jong Lee 1 Sin-Young Lee 1 Young-Jin Kim 1

1세한대학교

Accredited

ABSTRACT

The purpose of this study is to identify factors influencing satisfaction with the use of generative AI among college students who have experience using generative AI to learn or perform tasks. For this purpose, multiple regression analysis was conducted using the response data from 168 college students. The results of the study were as follows. First, arts majors were less satisfied with using generative AI than engineering majors. Second, 'Improved Learning', 'Problem Solving', and 'Increase Creativity' were found to affect satisfaction with generative AI. However, 'Active Learning' and 'Performing Tasks' were found to have no effect on satisfaction with using generative AI. Based on these results, we discussed ways to effectively use generative AI.

Citation status

* References for papers published after 2023 are currently being built.

This paper was written with support from the National Research Foundation of Korea.