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Large language models—Valuable tools that require a sensitive integration into teaching and learning physics

  • Published:2024-05-01 Issue:5 Volume:62 Page:400-402
  • ISSN:0031-921X
  • Container-title:The Physics Teacher
  • language:en
  • Short-container-title:

Author:

Küchemann Stefan1ORCID,Steinert Steffen1,Kuhn Jochen1ORCID,Avila Karina23,Ruzika Stefan4

Affiliation:

1. Ludwig-Maximilians-Universität München 1 , Munich, Germany

2. Ludwig-Maximilians-Universität München 2 , Munich, Germany ; , Kaiserslautern, Germany

3. RPTU Kaiserslautern-Landau 2 , Munich, Germany ; , Kaiserslautern, Germany

4. RPTU Kaiserslautern-Landau 3 , Kaiserslautern, Germany

Publisher

American Association of Physics Teachers (AAPT)

Reference9 articles.

1. ChatGPT for good? On opportunities and challenges of large language models in education;Learn. Individual Differ.,2023

2. Are large multimodal foundation models all we need? On opportunities and challenges of these models in education,2024

3. Educational data augmentation in physics education research using ChatGPT;Phys. Rev. Phys. Educ. Res.,2023

4. S. Steinert et al., “Harnessing large language models to enhance self-regulated learning via formative feedback,” arXiv:2311.13984 (2023).

5. The power of feedback;Rev. Educ. Res.,2007

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