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June 5, 20260 citations

Integrating Generative AI in Physics Education through Inquiry-Based Learning

The Generative AI-inquiry cycle

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Authors

SKStefan KüchemannUniversity of KaiserslauternPVPatrik VogtHeidelberg University of EducationYDYavuz DincLMU Klinikum

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Overview

Overview demonstrates generative AI's impact on physics education, highlighting benefits and challenges.

Key Points

  • This overview aims to assess the integration of generative AI into physics education, focusing on both opportunities and challenges.
  • Presented examples of physics lab courses where generative AI is integrated into inquiry-based learning
  • Discussed non-obvious challenges like cognitive activation and metacognitive awareness
  • Identified benefits of using generative AI in enhancing student engagement in physics
  • Highlighted challenges such as low cognitive activation and lack of metacognitive reflection during AI integration

Cite This Study

Küchemann et al. (2026) studied this question.

synapsesocial.com/papers/6a22696f763171746d547efehttps://doi.org/10.1051/epn/2026211/pdf
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