Abstract
Motivated learning is the prerequisite for a deep processing of learning content and a long retention performance, as well as the basis for joy of learning and persistent interest. The SensoMot-project (“Sensor Measures of Motivation for Adaptive Learning”) aims at identifying critical motivational incidents during adaptive e-learning sessions in the context of university courses of micro- and nano-technology through sensory acquisition with current consumer wearables. These critical motivational incidents will be used to adapt learning content at runtime and thus enhance motivation.
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Acknowledgments
Part of the authors’ work has been supported by the German Federal Ministry for Education and Research (BMBF) within the joint project SensoMot under grant no. 16SV7516, within the program “Tangible Learning”.
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Bauer, M., Bräuer, C., Schuldt, J., Niemann, M., Krömker, H. (2019). Application of Wearable Technology for the Acquisition of Learning Motivation in an Adaptive E-Learning Platform. In: Ahram, T. (eds) Advances in Human Factors in Wearable Technologies and Game Design. AHFE 2018. Advances in Intelligent Systems and Computing, vol 795. Springer, Cham. https://doi.org/10.1007/978-3-319-94619-1_4
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DOI: https://doi.org/10.1007/978-3-319-94619-1_4
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