Abstract
Internet of Things (IoT) is an emerging technology expected to transform the way we live, work, and learn. Devices enabled with IoT could be deployed in order to sense conditions from across contexts and settings. Alternatively, such devices could be embedded into wearable accessories.
Even though IoT is in its early stage of development, organizations recognize its potential applicability and therefore incorporate it in their efforts to improve word-based learning and training. Practically, organizations can exploit IoT for supporting personalized and adaptive training. Accordingly, we propose a deployment process aiming to support four scenarios focused on work-based and enhanced by IoT. Specifically, we illustrate our suggestion through a process including a discovery of requirements, followed by a corresponded design and development efforts aspiring on an architecture optimized for corporate learning and training that is empowered by IoT.
We foresee that this architecture will provide employees with exciting opportunities to exploit valuable data in order to react to and refine an ongoing process that produces personal, meaningful, and in-context learning experience. We believe that our efforts to deploy such architecture provide new, flexible, and efficient opportunities for exercising innovative approaches for practicing work-based learning and training.
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Kohen-Vacs, D., Kurtz, G., Zaguri, Y. (2019). Toward Deployment of Architecture Incorporated with IoT for Supporting Work-Based Learning and Training: On the Threshold of a Revolution. In: Buchem, I., Klamma, R., Wild, F. (eds) Perspectives on Wearable Enhanced Learning (WELL). Springer, Cham. https://doi.org/10.1007/978-3-319-64301-4_6
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DOI: https://doi.org/10.1007/978-3-319-64301-4_6
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