A Discrete Particle Swarm Optimization Based Approach for Review Course Composition
In the present learning cycle, new knowledge learning and known knowledge review are two important learning processes. This paper proposes the review course composition system which adopts the discrete particle swarm optimization to quickly pick the suitable materials, and can be customized in accor...
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Published in | 2008 third International Conference on Convergence and Hybrid Information Technology : 11-13 November 2008 Vol. 2; pp. 639 - 644 |
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Main Authors | , , |
Format | Conference Proceeding |
Language | English |
Published |
IEEE
01.11.2008
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Subjects | |
Online Access | Get full text |
ISBN | 0769534074 9780769534077 |
DOI | 10.1109/ICCIT.2008.77 |
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Summary: | In the present learning cycle, new knowledge learning and known knowledge review are two important learning processes. This paper proposes the review course composition system which adopts the discrete particle swarm optimization to quickly pick the suitable materials, and can be customized in accordance with the learner's intention. As a result, such a composition system satisfies the majority of learners with the customized review courses based on their needs. |
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ISBN: | 0769534074 9780769534077 |
DOI: | 10.1109/ICCIT.2008.77 |