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Computational Intelligence for Technology Enhanced Learning pp 25–58Cite as

Fuzzy ECA Rules for Pervasive Decision-Centric Personalised Mobile Learning

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Part of the book series: Studies in Computational Intelligence ((SCI,volume 273))

Abstract

This chapter addresses personalisation in intelligent context-aware information systems. A personalized mobile learning system can be viewed as an information system related to the domain of education. Personalization requires the identification and selection of individuals; this can be achieved using an individual’s profile (termed context). A context is inherently complex, its effective use representing a challenge that has to date not been adequately addressed. This chapter considers this challenge, identifies context-aware systems as intrinsically decision-centric, and introduces Fuzzy Event:Condition:Action (FEAC) rules as an effective approach to enable deterministic computational intelligence to be applied in intelligent context-aware personalised mobile learning systems. The FECA rules algorithm is presented with example implementations, an evaluation, and proof-of-concept. The chapter closes with a discussion, conclusions, open research questions, and consideration of future directions for future work.

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Authors and Affiliations

  1. Department of Computing, Birmingham City University, Birmingham, UK

    Philip Moore, Mike Jackson & Bin Hu

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  1. Philip Moore
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  2. Mike Jackson
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  3. Bin Hu
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Editors and Affiliations

  1. Department of Languages and Informatics Systems, Polytechnic University of Catalonia, Campus Nord, Ed.Omega, C/Jordi Girona 1-3, 08034, Barcelona, Spain

    Fatos Xhafa

  2. Department of Computer Sciences Multimedia and Telecommunications, Open University of Catalonia, Rbla. Poblenou. 156, 08018, Barcelona, Spain

    Santi Caballé  & Thanasis Daradoumis  & 

  3. Machine Intelligence Research Labs (MIR Labs), Scientific Network for Innovation and Research Excellence, P.O. Box 2259, 98071-2259, Auburn, Washington, USA

    Ajith Abraham

  4. Department of Information Sciences, Open University of Catalonia, Av. Tibidabo 39-43, 08035, Barcelona, Spain

    Angel Alejandro Juan Perez

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Moore, P., Jackson, M., Hu, B. (2010). Fuzzy ECA Rules for Pervasive Decision-Centric Personalised Mobile Learning. In: Xhafa, F., Caballé, S., Abraham, A., Daradoumis, T., Juan Perez, A.A. (eds) Computational Intelligence for Technology Enhanced Learning. Studies in Computational Intelligence, vol 273. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-11224-9_2

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