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Application of Ambient Intelligence in Educational Institutions: Visions and Architectures

Author

Listed:
  • Vladimír Bureš

    (Faculty of Informatics and Management, University of Hradec Králové, Hradec Králové, Czech Republic)

  • Petr Tučník

    (Faculty of Informatics and Management, University of Hradec Králové, Hradec Králové, Czech Republic)

  • Peter Mikulecký

    (Faculty of Informatics and Management, University of Hradec Králové, Hradec Králové, Czech Republic)

  • Karel Mls

    (Faculty of Informatics and Management, University of Hradec Králové, Hradec Králové, Czech Republic)

  • Petr Blecha

    (Faculty of Informatics and Management, University of Hradec Králové, Hradec Králové, Czech Republic)

Abstract

The ambient intelligence concept provides a vision of society of the future, where people will find themselves in an environment of intelligent and intuitively usable interfaces. The manuscript applies this definition to the specific environment of higher education in the context of the Czech Republic. The existence of the so-called Generation Y and characteristics of included individuals represent the main rationale of this paper. In particular sections of this paper, three visions that focus on intelligent assistance for graduation thesis preparation, smart lecture halls, and smart university campuses are described, and related architectures are depicted. Furthermore, results from a survey evaluating three main aspects - feasibility, willingness to use, and accessibility of technologies - of these visions are presented.

Suggested Citation

  • Vladimír Bureš & Petr Tučník & Peter Mikulecký & Karel Mls & Petr Blecha, 2016. "Application of Ambient Intelligence in Educational Institutions: Visions and Architectures," International Journal of Ambient Computing and Intelligence (IJACI), IGI Global, vol. 7(1), pages 94-120, January.
    • Handle: RePEc:igg:jaci00:v:7:y:2016:i:1:p:94-120
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    Cited by:

    1. Sankhadeep Chatterjee & Sarbartha Sarkar & Nilanjan Dey & Soumya Sen, 2018. "Non-Dominated Sorting Genetic Algorithm-II-Induced Neural-Supported Prediction of Water Quality with Stability Analysis," Journal of Information & Knowledge Management (JIKM), World Scientific Publishing Co. Pte. Ltd., vol. 17(02), pages 1-20, June.

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