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Generative Artificial Intelligence in Educational Game Design: Nuanced Challenges, Design Implications, and Future Research

  • Jewoong Moon,
  • Unggi Lee,
  • Junbo Koh,
  • Yeil Jeong,
  • Yunseo Lee,
  • Gyuri Byun,
  • Jieun Lim

摘要

This paper reviews the role of Generative Artificial Intelligence (GenAI) in transforming the landscape of educational game design. The recent rise and development of GenAI have expanded its applications in creating dynamic and interactive game systems. This review explores the potential of GenAI to craft personalized educational game designs that can adaptively support real-time student interactions. We discuss GenAI’s capabilities in educational game design and their significance in educational research and practices. In addition, we highlight current design challenges, suggest future research avenues, and discuss the implications of GenAI integration for educational game design and digital game-based learning.