E-Learning, E-Education, and Online Training. First International Conference, eLEOT 2014, Bethesda, MD, USA, September 18-20, 2014, Revised Selected Papers

Research Article

Smart e-Learning as a Student-Centered Biotechnical System

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  • @INPROCEEDINGS{10.1007/978-3-319-13293-8_21,
        author={Vladimir Uskov and Andrey Lyamin and Lubov Lisitsyna and Bhuvana Sekar},
        title={Smart e-Learning as a Student-Centered Biotechnical System},
        proceedings={E-Learning, E-Education, and Online Training. First International Conference, eLEOT 2014, Bethesda, MD, USA, September 18-20, 2014, Revised Selected Papers},
        proceedings_a={ELEOT},
        year={2014},
        month={12},
        keywords={e-Learning Smart system Student psychophysiological state},
        doi={10.1007/978-3-319-13293-8_21}
    }
    
  • Vladimir Uskov
    Andrey Lyamin
    Lubov Lisitsyna
    Bhuvana Sekar
    Year: 2014
    Smart e-Learning as a Student-Centered Biotechnical System
    ELEOT
    Springer
    DOI: 10.1007/978-3-319-13293-8_21
Vladimir Uskov1,*, Andrey Lyamin2,*, Lubov Lisitsyna2,*, Bhuvana Sekar1,*
  • 1: Bradley University
  • 2: ITMO University
*Contact email: uskov@mail.bradley.edu, lyamin@mail.ifmo.ru, lisizina@mail.ifmo.ru, bsekar@mail.bradley.edu

Abstract

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.