Proceedings of Annual Conference, Digital Game Research Association JAPAN
Online ISSN : 2758-6480
16th Annual Conference
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Educational Effects of a Game Development Workshop Utilizing Generative AI
A Mixed Analysis Combining Departmental Comparison and KJ Method
*Kenji ONO*Keita MIZUKAMI*Satoshi KODAMA*Tomoya MACHIDE
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CONFERENCE PROCEEDINGS OPEN ACCESS

Pages 54-59

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Abstract
This study examines a game development workshop that utilized generative AI by conducting a t-test–based comparison between academic departments and a qualitative analysis of open-ended responses using the K-J method. The results showed significant departmental differences in perceived task difficulty, whereas no significant differences were found in educational outcomes such as enjoyment, perceived understanding, and learning motivation. The qualitative analysis further revealed that participants recognized the workshop as accessible and beneficial for creative work with AI, suggesting its potential as an inclusive learning environment.
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© 2026 Digital Research Association JAPAN

この記事はクリエイティブ・コモンズ [表示 4.0 国際]ライセンスの下に提供されています。
https://creativecommons.org/licenses/by/4.0/deed.ja
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