Abstract
The paper studies the adaptive learning content organization model and algorithm, which takes knowledge point as a unit. At first, it defines granularity of learning object, designs learning content level framework, which takes knowledge point as the meaning unit, builds up the reusable and sharable foundation of learning resources. The second is to provide the basic scheduling model for learning content organization. The model involves in pre-test, survey, knowledge point scheduling modules, summary, and post-test. Learning content scheduling algorithm is designed to choose learning content according to the learning content sequence, learner’s styles, learning evaluating outcomes and application context. Lastly, the scheduling algorithm is proved effectiveness and stable in E-learning Service Platform.
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© 2008 Springer-Verlag Berlin Heidelberg
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Liu, Q., Sun, Z. (2008). Research on Learning Resources Organization Model. In: Li, F., Zhao, J., Shih, T.K., Lau, R., Li, Q., McLeod, D. (eds) Advances in Web Based Learning - ICWL 2008. ICWL 2008. Lecture Notes in Computer Science, vol 5145. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-85033-5_6
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DOI: https://doi.org/10.1007/978-3-540-85033-5_6
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-85032-8
Online ISBN: 978-3-540-85033-5
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