SERIES OF TWO SEMINARS
This seminar provides a comprehensive overview of how Machine Learning (ML) and Natural Language Processing (NLP) are used to analyze both quantitative and qualitative data in physics education. After briefly tracing the history of text analysis from traditional “bag-of-words” classifiers to the current era of Large Language Models (LLMs), the seminar will focus on recent developments and uses in Physics Education Research. Specifically, it will present the use of LLMs to automate the coding of student lab notebooks, comparing the performance of different models against human inter-rater reliability.