Smart e-Learning as a Student-Centered Biotechnical System

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.

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