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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creator | Ming Che Lee Kun Hua Tsai Wang, T.I. |
description | 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. |
doi_str_mv | 10.1109/ICCIT.2008.77 |
format | Conference Proceeding |
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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.</abstract><pub>IEEE</pub><doi>10.1109/ICCIT.2008.77</doi><tpages>6</tpages></addata></record> |
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ispartof | 2008 Third International Conference on Convergence and Hybrid Information Technology, 2008, Vol.2, p.639-644 |
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source | IEEE Electronic Library (IEL) Conference Proceedings |
subjects | Composite materials Concept Map DPSO E-learning Education Electronic learning Frequency estimation Information technology Knowledge engineering Particle swarm optimization |
title | A Discrete Particle Swarm Optimization Based Approach for Review Course Composition |
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