The rapid advancement of AI has created transformative opportunities in education, reshaping how students learn. While much of the existing research has focused on AI’s impact on student behavior and performance, its effects on emotional experiences and learning engagement remain underexplored. This study aims to address this gap using questionnaires and video analysis to capture students’ real-time emotions and engagement levels, investigating how AI influences these two dimensions in programming education. Our preliminary results reveal interesting findings and lay the foundation for further research.

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How Generative AI Impact Student Emotion and Engagement in Programming Tasks?

  • Boxuan Ma,
  • Liyuan Guo,
  • Tianyuan Yang,
  • Jihong Ding

摘要

The rapid advancement of AI has created transformative opportunities in education, reshaping how students learn. While much of the existing research has focused on AI’s impact on student behavior and performance, its effects on emotional experiences and learning engagement remain underexplored. This study aims to address this gap using questionnaires and video analysis to capture students’ real-time emotions and engagement levels, investigating how AI influences these two dimensions in programming education. Our preliminary results reveal interesting findings and lay the foundation for further research.