There have been significant developments in higher education resulting in interest in personalised educational provision. Concomitant with these changes is the evolving capability and ubiquity of mobile technologies. To facilitate personalisation and leverage the power of mobile technologies in mobile pedagogic systems identification of individuals is a prerequisite; this can be achieved using an individual’s profile (termed context). This chapter considers the background to context with related research. Context modelling, the processing of contextual information, context matching and the context matching algorithm, ontology, and the Semantic Web technologies are introduced. Context reasoning and inference in rule-based systems is considered and the context reasoning ontology is presented with scenario-based evaluation. The chapter concludes with a discussion, consideration of future research, and open research questions.
Context has been applied to a broad range of domains and systems ranging from location-based tourist applications to motion capture. An area relatively under-represented in the literature is healthmonitoring systems. This paper considers the application of context in health monitoring and the role of translational research, a concept that relates to the translation of basic research into clinical practice. This paper posits that intelligent Context-aware systems provide an effective basis for translational research with benefits reflected in improved quality of life for patients, reduced load on clinicians, and efficiency improvements. Case studies are presented to illustrate a number of health monitoring issues and how context can be effectively applied. The paper concludes with a discussion, consideration of practical applications, challenges, and open research questions.
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