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Please use this identifier to cite or link to this item: http://hdl.handle.net/1820/9400
Title: Supporting Training of Expertise with Wearable Technologies: The WEKIT Reference Framework
Authors: Limbu, Bibeg
Fominykh, Mikhail
Klemke, Roland
Specht, Marcus
Wild, Fridolin
Keywords: Expertise
Augmented reality
Sensors
Training
Issue Date: 2018
Publisher: Springer
Citation: Limbu, B., Fominykh, M., Klemke, R., Specht, M., & Wild, F. (2018). Supporting Training of Expertise with Wearable Technologies: The WEKIT Reference Framework. In S. Yu, M. Ally, & A. Tsinakos (Eds.), Mobile and Ubiquitous Learning. Perspectives on Rethinking and Reforming Education (pp. 157-175). Springer, Singapore.
Series/Report no.: Mobile and Ubiquitous Learning. Perspectives on Rethinking and Reforming Education;
Abstract: In this chapter, we present a conceptual reference framework for designing augmented reality applications for supporting training. The framework leverages the capabilities of modern augmented reality and wearable technology for capturing the expert’s performance in order to support expertise development. It has been designed in the context of Wearable Experience for Knowledge Intensive Training (WEKIT) project which intends to deliver a novel technological platform for industrial training. The framework identifies the state-of-the-art augmented reality training methods, which we term as “transfer mechanisms” from an extensive literature review. Transfer mechanisms exploit the educational affordances of augmented reality and wearable technology to capture the expert performance and train the trainees. The framework itself is based upon Merrienboer’s 4C/ID model which is suitable for training complex skills. The 4C/ID model encapsulates major elements of apprenticeship models which is a primary method of training in industries. The framework complements the 4C/ID model with expert performance data captured with help of wearable technology which is then exploited in the model to provide a novel training approach for efficiently and effectively mastering the skills required. In this chapter, we will give a brief overview of our current progress in developing this framework.
URI: http://hdl.handle.net/1820/9400
Appears in Collections:1. TELI Publications, books and conference papers

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