Abstract
Tasks are often used in the teaching process. Using mobile and wearable technology, we created an application which uses sensors to support teachers in creating tasks with dependencies and feedback generation. However, in the field of sports education, a variety of non-measurable data can influence the training progress. This high-level context data can be gathered using human input. In this paper, we explain the task-based teacher supporting application and how it can be enriched with high-level context data. We use gamification for data collection and motivation of students. We conducted a survey about the acceptance of three different approaches in the field of skiing education. The survey reveals that the underlying concept is most important, so that the visual representation of the data collection can be exchanged when necessary.
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Schulz, R., Isabwe, G.M.N., Prinz, A., Hara, T. (2018). High-Level Context Information for Tasks in Teaching. In: Andre, T. (eds) Advances in Human Factors in Training, Education, and Learning Sciences. AHFE 2017. Advances in Intelligent Systems and Computing, vol 596. Springer, Cham. https://doi.org/10.1007/978-3-319-60018-5_27
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DOI: https://doi.org/10.1007/978-3-319-60018-5_27
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