Using AI tools to analyze periodic phenomena

• Jennifer L. Klay ^[2] ; Adia Pinski ^[2] ; Kelly Schackel ^[2] ; Zane Sieger ^[2] ; Isabella Simpson ^[2] ; Maxine Walas ^[2] ; David Rakestraw ^[1]
  1. [1] Lawrence Livermore National Laboratory

     Lawrence Livermore National Laboratory

     Estados Unidos

     
  2. [2] Cal Poly San Luis Obispo, San Luis Obispo
• Localización: The Physics Teacher, ISSN 0031-921X, Vol. 63, Nº. 4, 2025, págs. 286-289
• Idioma: inglés
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• Resumen

  • The integration of artificial intelligence into physics education is reshaping the landscape of what is possible in the classroom.1,2 One powerful application is in the introductory physics laboratory, where complex data analyses, which traditionally required substantial mathematical skill and programming expertise, can now be carried out through conversational interfaces and guided prompts. In this paper, we demonstrate how students can analyze real-world data through AI-powered tools like ChatGPT. Specifically, physiological tremors measured using smartphone accelerometers were analyzed using mathematical methods that typically would be considered too advanced for and beyond the scope of an introductory physics laboratory