AINeutralarXiv – CS AI · May 285/10
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LLM-assisted sentiment analysis for integrated computational and qualitative mixed methods education research: A case study of students' written reflection assignments
Researchers demonstrate how large language models can assist in analyzing student written reflections for mixed-methods education research, combining computational sentiment analysis with qualitative thematic analysis. The study of 151 study-abroad students reveals that prior international living experience significantly impacts sentiment toward language learning, suggesting LLM-assisted workflows enable efficient multi-variable demographic comparisons in qualitative research.