Replication Data for: Das Concept Image in Studierendenantworten mit Large Language Models klassifizieren

In the paper, we investigate if Large language models (LLMs) can assist in accessing the learners’ concept images. We work with student data in the area of graph theory (n=182). We annotated student responses to find out whether they see graphs from a graphtheoretical perspective or rely on other concepts. In the study, we performed classifications with four different large language models to automatically classify the concept image of students, namely GPT 4.0, Meta Llama 3.1 8B, Construct, Meta Llama 3.1 7 B construct, EM_German Mistral AI