LLM-based automatic short answer grading in undergraduate medical education

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Detalhes bibliográficos
Publicado no:	BMC Medical Education vol. 24 (2024), p. 1
Autor principal:	Grévisse, Christian
Publicado em:	Springer Nature B.V.
Assuntos:	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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