loading
Papers Papers/2022 Papers Papers/2022

Research.Publish.Connect.

Paper

Authors: Polina Häfner 1 ; Viktoria Bergmann 2 ; Victor Häfner 1 ; Felix Michels 1 ; Michael Grethler 1 and Abhijit Karande 3

Affiliations: 1 Institute for Nuclear Waste Disposal, Karlsruhe Institute of Technology, Hermann-von-Helmholtz-Platz 1, 76344 Eggenstein-Leopoldshafen, Germany ; 2 Institute of Vocational and General Education, Karlsruhe Institute of Technology, Hertzstraße 16, Karlsruhe, Germany ; 3 EES Beratungsgesellschaft mbH, Adalbert Stifter Str. 8, Ettlingen, Germany

Keyword(s): Extended Reality, Immersive Digital Twin, Virtual Twin, Learning Environment, Learning Factory, Industry 4.0, Engineering Education.

Abstract: Technological advancements and the interdisciplinary nature of modern engineering projects are driving forces behind the evolution of engineering skills today. Educational institutions are responding to the demand for new skills through various initiatives, one notable example being the implementation of learning factories. These facilities serve as invaluable resources for hands-on, practice-oriented learning, particularly in the context of Industry 4.0. This publication outlines an innovative teaching concept and the implementation of an adaptive and immersive learning environment tailored for Industry 4.0 education. Central to this environment is a cost-effective learning factory model complemented by its immersive digital twin, accessible on desktop PCs or immersive hardware. The virtual learning environment comprises diverse teaching modules covering advanced engineering topics such as agile production, industrial Internet of Things, automation, machine learning and autonomous g uided vehicles. The integration of a physical learning factory with its immersive digital counterpart allows for the playful exploration of additional relevant topics such as digital twins, virtual commissioning and extended reality. The adaptability of this hybrid learning environment enables educators to customize teaching scenarios and adjust content and difficulty levels to suit various learner groups. Furthermore, it accommodates a wide range of teaching methods and classroom setups, offering a versatile educational experience. (More)

CC BY-NC-ND 4.0

Sign In Guest: Register as new SciTePress user now for free.

Sign In SciTePress user: please login.

PDF ImageMy Papers

You are not signed in, therefore limits apply to your IP address 44.220.44.148

In the current month:
Recent papers: 100 available of 100 total
2+ years older papers: 200 available of 200 total

Paper citation in several formats:
Häfner, P.; Bergmann, V.; Häfner, V.; Michels, F.; Grethler, M. and Karande, A. (2024). An Adaptive Learning Environment for Industry 4.0 Competencies Based on a Learning Factory and Its Immersive Digital Twin. In Proceedings of the 16th International Conference on Computer Supported Education - Volume 1: ERSeGEL; ISBN 978-989-758-697-2; ISSN 2184-5026, SciTePress, pages 720-731. DOI: 10.5220/0012757000003693

@conference{ersegel24,
author={Polina Häfner. and Viktoria Bergmann. and Victor Häfner. and Felix Michels. and Michael Grethler. and Abhijit Karande.},
title={An Adaptive Learning Environment for Industry 4.0 Competencies Based on a Learning Factory and Its Immersive Digital Twin},
booktitle={Proceedings of the 16th International Conference on Computer Supported Education - Volume 1: ERSeGEL},
year={2024},
pages={720-731},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0012757000003693},
isbn={978-989-758-697-2},
issn={2184-5026},
}

TY - CONF

JO - Proceedings of the 16th International Conference on Computer Supported Education - Volume 1: ERSeGEL
TI - An Adaptive Learning Environment for Industry 4.0 Competencies Based on a Learning Factory and Its Immersive Digital Twin
SN - 978-989-758-697-2
IS - 2184-5026
AU - Häfner, P.
AU - Bergmann, V.
AU - Häfner, V.
AU - Michels, F.
AU - Grethler, M.
AU - Karande, A.
PY - 2024
SP - 720
EP - 731
DO - 10.5220/0012757000003693
PB - SciTePress