Abstract
This document is a survey of research on user modeling for Adaptive Learning. We suggest a model for automated detection of deviations or statistically stable behavior using smart technologies. Proposed model allows to explain test results using documented deviations. We have analyzed the main psychophysiological parameters which can be used in presented model for student’s behavioral analysis. The proposed research can help to improve the adaptivity of computer-based education systems.
Supported under the Agreement 02.A03.21.0006 of 27.08.2013 between the Ministry of Education and Science of the Russian Federation and Ural Federal University.
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Gein, A., Istomin, D., Sheka, A. (2016). Smart Technologies in Psycho-Oriented Strategies of Adaptive Education. In: Uskov, V., Howlett, R., Jain, L. (eds) Smart Education and e-Learning 2016. Smart Innovation, Systems and Technologies, vol 59. Springer, Cham. https://doi.org/10.1007/978-3-319-39690-3_35
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DOI: https://doi.org/10.1007/978-3-319-39690-3_35
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