Application of wearable technology for the acquisition of learning motivation in an adaptive e-learning platform

8Citations
Citations of this article
43Readers
Mendeley users who have this article in their library.
Get full text

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.

Cite

CITATION STYLE

APA

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 Advances in Intelligent Systems and Computing (Vol. 795, pp. 29–40). Springer Verlag. https://doi.org/10.1007/978-3-319-94619-1_4

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free