Leveraging Large Language Models to Generate Course-specific Semantically Annotated Learning Objects

Background: Over the past few decades, the process and methodology of automated question generation (AQG) have undergone significant transformations. Recent progress in generative natural language models has opened up new potential in the generation of educational content. Objectives: This paper exp...

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Veröffentlicht in:	arXiv.org 2024-12
Hauptverfasser:	Lohr, Dominic, Berges, Marc, Chugh, Abhishek, Kohlhase, Michael, Müller, Dennis
Format:	Artikel
Sprache:	eng
Schlagworte:	Annotations Education Human performance Large language models Natural language processing Speech recognition
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