Comparing large language models for supervised analysis of students’ lab notes

Recent advancements in large language models (LLMs) hold significant promise for improving physics education research that uses machine learning. In this study, we compare the application of various models for conducting a large-scale analysis of written text grounded in a physics education research...

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Bibliographic Details
Main Authors: Rebeckah K. Fussell, Megan Flynn, Anil Damle, Michael F. J. Fox, N. G. Holmes
Format: Article
Language:English
Published: American Physical Society 2025-03-01
Series:Physical Review Physics Education Research
Online Access:http://doi.org/10.1103/PhysRevPhysEducRes.21.010128
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