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A Ubiquitous Intelligent Tutoring System for Aiding Electronic Learning

  • Conference paper
Knowledge-Based and Intelligent Information and Engineering Systems (KES 2010)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 6279))

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Abstract

In the new paradigm of Internet of Things, objects of the daily life will be part of the Web. In order to identify objects or communicate with them, tagging by radio frequency technologies or visual tags are used. The steady growth of mobile devices and increased functionality offered by these, allow them to access information into a tag using a camera or using a simple radio frequency reader. But such tags that identify things have a limited information space, so that the use of fuzzy logic and linguistic variables allow mobile devices to communicate with words compressing the data. This research presents an intelligent tutor that interacts with educational books to customize your self-assessment tasks through tags.

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Author information

Authors and Affiliations

  1. Dept. Computer Science and Artificial Intelligence, ETSIIT, University of Granada, 18071, Granada, Spain

    Sergio Ciruela, Miguel Delgado & Nicolás Marín

Authors
  1. Sergio Ciruela
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  2. Miguel Delgado
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  3. Nicolás Marín
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Editor information

Editors and Affiliations

  1. School of Engineering, Cardiff University, The Parade, CF24 3AA, Cardiff, UK

    Rossitza Setchi

  2. Dept. of Computer Science and Software Engineering, University of Portsmouth, BUckingham Building, Lion Terrace, PO1 3HE, Portsmouth, UK

    Ivan Jordanov

  3. KES International, 145-157 St. John Street, EC1V 4PY, London, UK

    Robert J. Howlett

  4. School of Electrical and Information Engineering, University of South Australia, Adelaide, Mawson Lakes Campus, 5095, SA, Australia

    Lakhmi C. Jain

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© 2010 Springer-Verlag Berlin Heidelberg

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Ciruela, S., Delgado, M., Marín, N. (2010). A Ubiquitous Intelligent Tutoring System for Aiding Electronic Learning. In: Setchi, R., Jordanov, I., Howlett, R.J., Jain, L.C. (eds) Knowledge-Based and Intelligent Information and Engineering Systems. KES 2010. Lecture Notes in Computer Science(), vol 6279. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-15384-6_8

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  • DOI: https://doi.org/10.1007/978-3-642-15384-6_8

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-15383-9

  • Online ISBN: 978-3-642-15384-6

  • eBook Packages: Computer ScienceComputer Science (R0)

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