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A content-adaptation system for personalized m-learning

Evolution of mobile technologies and widespread adoption of mobile devices in learning today is momentous. Mobile learning refers to the use of portable devices to study independent of location and time. To allow flexible learning to occur, content adaptation is necessary. Content-adaptation aims at delivering the most suitable learning elements in dynamic conditions using different contextual information from various sources in order to enhance the learners' experiences. This paper describes our ongoing research project, the context-aware mobile learning application, Mobiware that makes use of contextual data in mobile learning for content-adaptation. Important information was gathered from individual learners, the device used and the surrounding to give rise to independent customized learning materials. The aim of developing this mobile application is to set a dynamic system, which instantly acknowledges different user situations, and deliver the best-adapted learning content to the learner. Details about the current trends in mobile learning are reported which leads to the proposed context-aware mobile learning application.