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Adaptivity and Personalization in Mobile Learning
Kinshuk, Maiga Chang, Sabine Graf and Guangbing Yang

Mobile educational systems have begun to emerge as potential educational environments supporting life-long learning. However, these environments still suffer from various technological and access related problems in many parts of the world. For example, the access to course materials is slow; courseware does not adapt to individual students; the real time interaction between student and the environment is hard to achieve because of connection unreliability and bandwidth limitations. There is also a lack of pedagogical infrastructure for mobile learning. This paper focuses on adaptive approaches for individual learners through the use of mobile technology. Various aspects of the research are discussed that aim to exploit the benefits of location, device and learner modeling, and to combine them with mobile technology to achieve personalized delivery of multimedia-rich learning objects: anywhere and anytime.

Keywords: Mobile learning, adaptivity, personalization, learning style, student model, context-awareness, museum.

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