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Case Study on the Use of Generative AI in Secondary IT Convergence Mentorship Education

  • Journal of The Korea Society of Computer and Information
  • Abbr : JKSCI
  • 2024, 29(12), pp.293-303
  • Publisher : The Korean Society Of Computer And Information
  • Research Area : Engineering > Computer Science
  • Received : October 11, 2024
  • Accepted : November 27, 2024
  • Published : December 31, 2024

Insun Yoo 1 Eun-Hee Goo 1

1아주대학교

Accredited

ABSTRACT

Recently, research on the educational applications of generative AI in fields such as art and science has been actively conducted. However, case studies applying generative AI to mentorship programs in gifted education remain scarce. This study examines a case in which AI techniques were applied to detect fake news in a secondary IT convergence mentorship program at a university-affiliated gifted education center, with a focus on comparing and analyzing the results. The project involved fake news generation, AI technique recommendation, and the application of generative AI in programming. The purpose of this study is to present a case of utilizing generative AI in mentorship programs for programming and search applications, and to identify considerations for the application of generative AI in IT convergence mentorship education based on identified issues and discussions. The findings suggest that when using generative AI in mentorship education, instructors should utilize AI as an auxiliary tool, while learners should provide appropriate prompts and ethically use the generated results.

Citation status

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