TY  - CHAP
U1  - Konferenzveröffentlichung
A1  - Bitsch, Günter
A1  - Senjic, Pascal
A1  - Kneip, Petra
T1  - Hybrid individualized assistance-oriented learning system framework for STEM-Education
T2  - 2022 IEEE German Education Conference (GeCon), 11-12 August 2022, Berlin, Germany, proceedings
N2  - 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.
KW  - learning framework
KW  - individual learning
Y1  - 2022
SN  - 978-1-6654-5170-3
SB  - 978-1-6654-5170-3
U6  - https://doi.org/10.1109/GeCon55699.2022.9942754
DO  - https://doi.org/10.1109/GeCon55699.2022.9942754
SP  - 5
S1  - 5
PB  - IEEE
CY  - New York
ER  -