Abstract
Intensive development of e-learning methods still struggles with domains where feedback on manual and physical skills is necessary, for example, crafts or physiotherapy movements. Most of such training is currently done exclusively through direct teacher-student interaction. The traditional approach minimizes the possibilities for remote learning, requires large time investments, and contributes to high costs of education. While human feedback remains very important, modern wearable sensors allow to transfer part of the workload to e-learning. In this chapter, we present an overview of available solutions with particular focus on wearable sensors. We argue that wearable devices have the ability to enable a new step in e-learning, not only allowing the acquisition of theoretical knowledge but also training of manual and physical skills.
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Acknowledgements
The authors would like to express their gratitude to PD. Dr. Cord Spreckelsen for fruitful discussions on e-learning.
This work was partially funded by the German Federal Ministry of Education and Research and the European Social Fund as part of the digital media in vocational education (DIMEBB2) initiative (funding number 01P15013).
This work was partially supported by the Faculty of Applied Mathematics AGH UST statutory tasks within subsidy of the Polish Ministry of Science and Higher Education.
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Kutafina, E., Jovanović, M., Kabino, K., Jonas, S.M. (2019). Learning Manual Skills with Smart Wearables. 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_11
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