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Investigating learner perceptions for effective teaching of Generative AI - from a game development perspective -

  • Journal of The Korea Society of Computer and Information
  • Abbr : JKSCI
  • 2024, 29(11), pp.137-144
  • Publisher : The Korean Society Of Computer And Information
  • Research Area : Engineering > Computer Science
  • Received : October 30, 2024
  • Accepted : November 20, 2024
  • Published : November 29, 2024

Bu-ho Choi 1

1청강문화산업대학교

Accredited

ABSTRACT

In this study, we aim to devise an effective generative AI education direction for those learning game development. In the past, artificial intelligence technology was used to create game content, but with the emergence and rapid development of generative AI, its role has expanded to a tool for game development. This is changing the entire game development process. However, these developments brought not only opportunities but also anxiety to those in demand for education. This class is designed to relieve these anxieties, allow educational consumers to create part of the game development process using generative AI rather than traditional game development methods, and change their perception of generative AI through this experience. A post-training survey was conducted to explore perceptions of generative AI and capture the skills needed to use generative AI smoothly and demand for additional training areas. Through this, we propose a method for effectively teaching generative AI technology and suggest implications for the future direction of generative AI education.

Citation status

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