A discrete particle swarm optimization based approach for review course composition

Ming Che Lee; Kun Hua Tsai; Tzone-I Wang

doi:10.1109/ICCIT.2008.77

A discrete particle swarm optimization based approach for review course composition

Ming Che Lee, Kun Hua Tsai, Tzone-I Wang

Department of Engineering Science

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

1 Citation (Scopus)

Abstract

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.

Original language	English
Title of host publication	Proceedings - 3rd International Conference on Convergence and Hybrid Information Technology, ICCIT 2008
Pages	639-644
Number of pages	6
Volume	2
DOIs	https://doi.org/10.1109/ICCIT.2008.77
Publication status	Published - 2008
Event	3rd International Conference on Convergence and Hybrid Information Technology, ICCIT 2008 - Busan, Korea, Republic of Duration: 2008 Nov 11 → 2008 Nov 13

Other

Other	3rd International Conference on Convergence and Hybrid Information Technology, ICCIT 2008
Country/Territory	Korea, Republic of
City	Busan
Period	08-11-11 → 08-11-13

All Science Journal Classification (ASJC) codes

Information Systems
Software

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10.1109/ICCIT.2008.77

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@inproceedings{86515dfcb7eb4c3ebbee73c22636a132,

title = "A discrete particle swarm optimization based approach for review course composition",

abstract = "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.",

author = "Lee, {Ming Che} and Tsai, {Kun Hua} and Tzone-I Wang",

year = "2008",

doi = "10.1109/ICCIT.2008.77",

language = "English",

isbn = "9780769534077",

volume = "2",

pages = "639--644",

booktitle = "Proceedings - 3rd International Conference on Convergence and Hybrid Information Technology, ICCIT 2008",

note = "3rd International Conference on Convergence and Hybrid Information Technology, ICCIT 2008 ; Conference date: 11-11-2008 Through 13-11-2008",

}

Lee, MC, Tsai, KH & Wang, T-I 2008, A discrete particle swarm optimization based approach for review course composition. in Proceedings - 3rd International Conference on Convergence and Hybrid Information Technology, ICCIT 2008. vol. 2, 4682316, pp. 639-644, 3rd International Conference on Convergence and Hybrid Information Technology, ICCIT 2008, Busan, Korea, Republic of, 08-11-11. https://doi.org/10.1109/ICCIT.2008.77

TY - GEN

T1 - A discrete particle swarm optimization based approach for review course composition

AU - Lee, Ming Che

AU - Tsai, Kun Hua

AU - Wang, Tzone-I

PY - 2008

Y1 - 2008

N2 - 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.

AB - 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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U2 - 10.1109/ICCIT.2008.77

DO - 10.1109/ICCIT.2008.77

M3 - Conference contribution

AN - SCOPUS:57849110488

SN - 9780769534077

VL - 2

SP - 639

EP - 644

BT - Proceedings - 3rd International Conference on Convergence and Hybrid Information Technology, ICCIT 2008

T2 - 3rd International Conference on Convergence and Hybrid Information Technology, ICCIT 2008

Y2 - 11 November 2008 through 13 November 2008

ER -

A discrete particle swarm optimization based approach for review course composition

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