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Breaking It Down: On the Presentation of Fine-Grained Learning Objects in Virtual Learning Environments
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Datum
2023
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Gesellschaft für Informatik e.V.
Zusammenfassung
Current research on personalized learning environments has a strong focus on the individualized sequencing of learning objects and the creation of adaptive feedback within them. Little emphasis has been placed on designing virtual learning environments (VLEs) that retrieve the necessary learning objects from online repositories and utilize semantic metadata to present them dynamically. Thus, this paper presents an approach for transforming a semantic web of fine-grained learning objects into a functional VLE that delivers these objects to learners.