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Issue title: Special Section: Future of Work in Germany
Guest editors: Christopher Brandl and Verena Nitsch
Article type: Research Article
Authors: Goppold, Marvina; * | Herrmann, Jan-Phillipb | Tackenberg, Svenb
Affiliations: [a] Faculty of Mechanical Engineering, RWTH Aachen University, Aachen, Germany | [b] Laboratory for Industrial Engineering, Ostwestfalen-Lippe University of Applied Sciences and Arts, Lemgo, Germany
Correspondence: [*] Address for correspondence: Marvin Goppold, RWTH Aachen University, Aachen, Germany. E-mail: [email protected].
Abstract: BACKGROUND: Errors can have dangerous consequences, resulting in a preventive strategy in most company-based technical vocational education and training (TVET). On the contrary, errors provide a useful opportunity for learning due to mismatches of mental models and reality and especially to improve occupational safety and health (OSH). OBJECTIVE: This article presents a didactic concept for developing a learning system based on learning from errors. Learners shall directly experience the consequences of erroneous actions through presenting error consequences in augmented reality to avoid negative, dangerous, or cost-intensive outcomes. METHODS: Empirical data prove errors to be particularly effective in TVET. A formal description of a work system is systematically adopted to outline a connection between work, errors concerning OSH, and a didactic concept. A proof-of-concept systematically performs a use case for the developed learning system. It supports critical reflections from a technical, safety, and didactical perspective, naming implications and limitations. RESULTS:By learning from errors, a work-based didactic concept supports OSH competencies relying on a learning system. The latter integrates digital twins of the work system to simulate and visualise dangerous error consequences for identified erroneous actions in a technical proof-of-concept. Results demonstrate the ability to detect action errors in work processes and simulations of error consequences in augmented reality. CONCLUSION: The technical learning system for OSH education extends existing learning approaches by showcasing virtual consequences. However, capabilities are limited regarding prepared learning scenarios with predefined critical errors. Future studies should assess learning effectiveness in an industrial scenario and investigate its usability.
Keywords: Vocational education, digital twin, work system design
DOI: 10.3233/WOR-211243
Journal: Work, vol. 72, no. 4, pp. 1563-1575, 2022
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