The Smart e-Learning System (SeLS) should be designed and developed as a smart student-centered biotechnical system with certain features of smart systems (sensing, transmission, big data processing, activation of actuators) and levels of “smartness” (adaptation, sensing, inferring, learning, anticipation, self-organization). In order to provide higher efficiency of learning process in general, and, SeLS, in particular, SeLS should use multiple parameters of student psychophysiological state.
CITATION STYLE
Uskov, V., Lyamin, A., Lisitsyna, L., & Sekar, B. (2014). Smart e-Learning as a student-centered biotechnical system. In Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST (Vol. 138, pp. 167–175). Springer Verlag. https://doi.org/10.1007/978-3-319-13293-8_21
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