2 papers
cs.CL2026
A Framework for Deductive Semantic Content Analysis at Scale in Science Education Using Text Embeddings
Jonas Timmann Mjaaland, Markus Fleten Kreutzer, Halvor Tyseng +5
Qualitative content analysis of open-ended survey responses is a commonly used research method in science education. However, traditional coding approaches are often time-consuming…
physics.ed-ph2025
Comparing large language models for supervised analysis of students' lab notes
Rebeckah K. Fussell, Megan Flynn, Anil Damle +2
Recent advancements in large language models (LLMs) hold significant promise in improving physics education research that uses machine learning. In this study, we compare the appli…