Fuzzy ECA rules for pervasive decision-centric personalised mobile learning

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.