Adaptive Device Context Based Mobile Learning Systems

  • Authors:
  • Haitao Pu;Jinjiao Lin;Yanwei Song;Fasheng Liu

  • Affiliations:
  • Shandong University of Science and Technology, China;Shandong Economic University, China;Shandong University, China;Shandong University of Science and Technology, China

  • Venue:
  • International Journal of Distance Education Technologies
  • Year:
  • 2011

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Abstract

Mobile learning is e-learning delivered through mobile computing devices, which represents the next stage of computer-aided, multi-media based learning. Therefore, mobile learning is transforming the way of traditional education. However, as most current e-learning systems and their contents are not suitable for mobile devices, an approach for mobile devices to adapt to e-learning is presented. To provide device-independence mobile learning services, a context-aware mobile learning approach is proposed. Firstly, the formal definitions of contexts and their influence on mobile learning services, including device contexts NCxt, matrix of information transmission parameters S, the degree of influence of the context NCxt on information transmission parameters Q, and adaptation coefficient E, are given. By using this approach, the mobile learning system is constructed. In an example using this approach, the authors detect the contextual environment of mobile computing and adapt the mobile learning services to the learners' devices automatically.