Conference paper 2021

The FRAM Error Model Within a System Theoretical Work System to Support Conceptually the Development of a Technical Learning System for Learning from Errors

Lecture Notes in Networks and Systems
Conference · Vol. 220 · pp. 80-87
Abstract

New learning media approaches in technical vocational education offer multiple opportunities to revolutionize learning processes in apprenticeship. One approach tries to facilitate learning from errors in real work processes with the help of augmented reality (AR). Therefore, FRAM as a systemic error model can support the product development process of such AR learning media. The article shows how to combine FRAM with an extended work system model. Engineering design methods complement both system theoretical models in order to simulate erroneous and perfect solutions in work processes. In majority, the results present a good fit of FRAM’s functional dimensions that allows fostering synergies. The extended work system helps in combination with engineering design methods to convert difficult and ill-defined dimensions into a compatible shape for discrete event simulations. The investigation is limited on the assumptions of the underlying models and illustrates just one possible modelling solution. Moreover, resilient work design can profit from the outcomes on the integration of FRAM into an early staged product and work process design. © 2021, The Author(s), under exclusive license to Springer Nature Switzerland AG.

Keywords

Author Keywords

Augmented reality workplace learning Simulation Product Development Human action System theory

Index Keywords

Author Affiliations
Institute of Industrial Engineering and Ergonomics, Rheinisch-Westfälische Technische Hochschule Aachen, Aachen, Nordrhein-Westfalen, Germany
Laboratory of Industrial Engineering, University of Applied Sciences Ostwestfalen-Lippe, Lemgo, Germany
Funding & Acknowledgements
Bundesministerium für Bildung und Forschung, BMBF
Acknowledgement. The contribution of this article is part of the project “FeDiNAR—Didactical Use of Errors with the Help of Augmented Reality”. It is funded by the Federal Ministry of Education and Research (BMBF) as part of the “Digital Media in Vocational Education and Training” programme and is supported by the German Aerospace Center (DLR) under the funding code 01PV18005A.
Deutsches Zentrum für Luft- und Raumfahrt, DLR
Grant: 01PV18005A
Acknowledgement. The contribution of this article is part of the project “FeDiNAR—Didactical Use of Errors with the Help of Augmented Reality”. It is funded by the Federal Ministry of Education and Research (BMBF) as part of the “Digital Media in Vocational Education and Training” programme and is supported by the German Aerospace Center (DLR) under the funding code 01PV18005A.
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