Using Bayesian Networks to Implement Adaptivity in Mobile Learning

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.

• Type: Conference
• Year: 2006
• Where: SKG
• Authors: Dan Yu, Xinmeng Chen
• Keywords: Adaptive Mobile Learning, Distributed And Parallel Computing, Mobile Learning, Mobile Learning Technologies, SKG 2006