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Using ZigBee in Ambient Intelligence Learning Scenarios

Author

Listed:
  • Óscar García

    (University of Salamanca, Spain)

  • Ricardo S. Alonso

    (University of Salamanca, Spain)

  • Dante I. Tapia

    (University of Salamanca, Spain)

  • Juan M. Corchado

    (University of Salamanca, Spain)

Abstract

The inclusion of Information and Communication Technologies, especially mobile devices, in learning environments has allowed both the emergence of new ways of learning and the adaptation of traditional teaching methods. In this sense, Ambient Intelligence (AmI) paradigm represents a promising approach that can be successfully applied to education. Pervasive computing, context and location awareness are AmI features that can allow students to receive customized information in a transparent way. Fortunately, there are several technologies that can help to gather such information. In this regard, Real-Time Locating Systems (RTLS) is a key technology that can improve context-awareness in AmI-based systems. This paper presents the use of a novel RTLS based on ZigBee technology that provides users’ positions in order to enhance context information in learning applications. This way, this system allows customizing the content offered to the users without their explicit interaction, as well as the granularity level provided by the system.

Suggested Citation

  • Óscar García & Ricardo S. Alonso & Dante I. Tapia & Juan M. Corchado, 2012. "Using ZigBee in Ambient Intelligence Learning Scenarios," International Journal of Ambient Computing and Intelligence (IJACI), IGI Global, vol. 4(3), pages 33-45, July.
    • Handle: RePEc:igg:jaci00:v:4:y:2012:i:3:p:33-45
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