LLM-based automatic short answer grading in undergraduate medical education

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Dades bibliogràfiques
Publicat a:	BMC Medical Education vol. 24 (2024), p. 1
Autor principal:	Grévisse, Christian
Publicat:	Springer Nature B.V.
Matèries:	University of Luxembourg Language Students Medical education Knowledge Hallucinations Python Large language models Learning Natural language Multiple choice Computer Oriented Programs Feedback (Response) Climate Natural Language Processing Student Records Educational Assessment Formative Evaluation Evaluators Summative Evaluation Language Processing Educational Technology Concept Mapping Grading Efficiency
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