Using Bayesian Networks to Implement Adaptivity in Mobile Learning

Authors:
Dan Yu;XinMeng Chen
Affiliations:
Computer School of Wuhan University, China;Computer School of Wuhan University, China
Venue:
SKG '06 Proceedings of the Second International Conference on Semantics, Knowledge, and Grid
Year:
2006

Citing 0
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Abstract

Mobile learning technologies have the potential to revolutionize distance education by bringing the concept of anytime and anywhere to reality. However, the development of mobile learning is hampered by various technological and access related problems, including the difficulty in implementing adaptivity. In this paper, we use the Bayesian networks to determine mobile learner's styles exploring the potential of individualization of learning process for the learners to implement adaptive mobile learning.