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Generative AI and Four-Learning Teaching Applications: Information Technology Tower of Hanoi Algorithm

  • Tsun Sheng Fan
  • , Ting Chia Hsu
  • , Yi Wen Liao*
  • *此作品的通信作者

研究成果: 雜誌貢獻會議論文同行評審

摘要

This study aims to explore how generative AI tools can be integrated into the teaching of the Tower of Hanoi algorithm by incorporating the “Four-Pillar” educational approach: self-regulated learning, collaborative learning, mutual learning, and guided learning. A curriculum package was designed on the ADL (Adaptive Learning) digital learning platform, including video instruction, gamified exercises, group discussions, AI-assisted learning, and programming tasks, guiding students to derive the Tower of Hanoi algorithm. Through the digital platform, students not only learn the rules and solutions through gamification but also gain an understanding of the underlying algorithm and apply it in practice. The results show that this model effectively enhances learning motivation and computational thinking, promotes the deep integration of information technology into teaching, and analyzes the supportive role of generative AI tools (such as e 度) in self-regulated learning and problem-solving.

原文英語
頁(從 - 到)103-107
頁數5
期刊Proceedings of International Conference on Computational Thinking Education
出版狀態已發佈 - 2025
事件9th International Conference on Computational Thinking and STEM Education, CTE-STEM 2025 - Hong Kong SAR, 中国
持續時間: 2025 6月 182025 6月 20

ASJC Scopus subject areas

  • 教育
  • 電腦科學應用

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