LLM-based automatic short answer grading in undergraduate medical education

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Bibliografiska uppgifter
I publikationen:	BMC Medical Education vol. 24 (2024), p. 1
Huvudupphov:	Grévisse, Christian
Utgiven:	Springer Nature B.V.
Ämnen:	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
Länkar:	Citation/Abstract Full Text Full Text - PDF
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