AI助教指导学生解魔方第一步，研究其对思维能力的影响
Student Engagement in AI Assisted Complex Problem Solving: A Pilot Study of Human AI Rubik's Cube Collaboration
- 用AI算法引导学生完成魔方白十字步骤
- 发现解题行为与空间、逻辑等能力相关
- 适合教育数据挖掘和人机协作研究者参考
游戏与谜题在STEM学习中具有重要教育价值。新兴的AI算法能够解决复杂问题，为解谜教学提供支架式支持。本文提出ALLURE系统，利用DeepCubeA AI算法指导学生完成魔方求解的第一步——白十字。基于一项试点研究的数据，分析了学生在系统中的行为表现，并探讨这些行为与空间推理、批判性思维及算法思维等STEM能力之间的关联。研究还讨论了ALLURE系统产生的数据如何用于未来的教育数据挖掘，以理解学生在复杂问题求解中从AI协助与协作中获得的收益。
原文摘要 · Abstract (English)
Games and puzzles play important pedagogical roles in STEM learning. New AI algorithms that can solve complex problems offer opportunities for scaffolded instruction in puzzle solving. This paper presents the ALLURE system, which uses an AI algorithm (DeepCubeA) to guide students in solving a common first step of the Rubik's Cube (i.e., the white cross). Using data from a pilot study we present preliminary findings about students' behaviors in the system, how these behaviors are associated with STEM skills - including spatial reasoning, critical thinking and algorithmic thinking. We discuss how data from ALLURE can be used in future educational data mining to understand how students benefit from AI assistance and collaboration when solving complex problems.
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