Comparing Large Language Models for supervised analysis of students' lab
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Comparing Large Language Models for supervised analysis of students' lab
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We compare the application of Bag of Words, BERT, and various flavors of LLaMA machine learning models to perform large-scale analysis of written text grounded in a physics education research classification problem: identifying skills in students' typed lab notes through sentence-level labeling. We evaluate the models based on their resource …