Abstract
Recent developments on mobile devices and networks enable new opportunities for mobile learning anywhere, anytime. Furthermore, recent advances on adaptive learning establish the foundations for personalized learning adapted to the characteristics of each individual learner. A mobile learner would perform an educational activity using the infrastructure (e.g. handheld devices, networks) in an environment (e.g. outdoors). In order to provide personalization, an adaptation engine adapts the educational activity and the infrastructure according to the context. The context is described by the learner’s state, the educational activity’s state, the infrastructure’s state, and the environment’s state. Furthermore, each one of these states is described by its dimensions. Many examples illustrate the adaptation decisions.
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Economides, A.A. (2008). Context-Aware Mobile Learning. In: Lytras, M.D., et al. The Open Knowlege Society. A Computer Science and Information Systems Manifesto. WSKS 2008. Communications in Computer and Information Science, vol 19. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-87783-7_27
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DOI: https://doi.org/10.1007/978-3-540-87783-7_27
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