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 adapt...

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Published in2006 Semantics, Knowledge and Grid, Second International Conference on p. 97
Main Authors Yu, D., XinMeng Chen
Format Conference Proceeding
LanguageEnglish
Published 2006
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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.
AbstractList 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.
Author XinMeng Chen
Yu, D.
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Snippet Mobile learning technologies have the potential to revolutionize distance education by bringing the concept of anytime and anywhere to reality. However, the...
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Title Using Bayesian Networks to Implement Adaptivity in Mobile Learning
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