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Hybrid individualized assistance-oriented learning system framework for STEM-Education

  • The imparting of knowledge and skills in STEM education, especially under the influence of the Covid-19 pandemic, is increasingly taking place online and through digital formats. The partially asynchronous instruction eliminates, on the one hand, the social relation in the learning process and, on the other hand, the direct experience with physical objects. Here, the digital learning systems provide learning tools and controls to support the learning process on a general basis. Existing methods for simulating physical objects (digital twins) are also used to a minimal extent. The following approach presents a learning system framework that enables individualized learning, including all dimensions (social, physical). Implementing a concept that uses a personalized assistance system to orchestrate the individual learning steps enables efficient and effective learning. Applying the learning system framework exemplifies the STEM education at Reutlingen University in the logistics learning factory Werk150.

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Metadaten
Author of HS ReutlingenBitsch, Günter; Kneip, Petra; Senjic, Pascal
DOI:https://doi.org/10.1109/GeCon55699.2022.9942754
ISBN:978-1-6654-5170-3
Erschienen in:2022 IEEE German Education Conference (GeCon), 11-12 August 2022, Berlin, Germany, proceedings
Publisher:IEEE
Place of publication:New York
Document Type:Conference proceeding
Language:English
Publication year:2022
Tag:individual learning; learning framework
Page Number:5
DDC classes:378 Hochschulbildung
Open access?:Nein
Licence (German):License Logo  In Copyright - Urheberrechtlich geschützt