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Curriculum-Aligned Analysis of Assessment Feedback: A Retrieval-Augmented Large Language Model Approach for Revealing Fine-Grained Student Error Patterns in Higher Education

2026-06-25

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<title>Abstract</title> <p>Assessment feedback in higher education provides fine-grained evidence about students' specific errors but remains underutilized as a data source for teaching improvement. This study proposes a method based on a large language model (LLM) that transforms unstructured feedback into curriculum-aligned error analysis through three steps: data-driven generation of an error taxonomy from fee...

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Literature Corpus work: 9db3c297-fc33-5af9-8d8c-743aa54dc0f2
DOI: 10.21203/rs.3.rs-9561394/v1

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