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 in | 2006 Semantics, Knowledge and Grid, Second International Conference on p. 97 |
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| Main Authors | , |
| Format | Conference Proceeding |
| Language | English |
| Published |
2006
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| Online Access | Get full text |
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| Summary: | 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. |
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| ISBN: | 9780769526737 076952673X |
| DOI: | 10.1109/SKG.2006.107 |