An automatic course generation system for organizing existent learning objects using particle swarm optimization

Yen Ting Lin; Shu Chen Cheng; Jin Tan Yang; Yueh Min Huang

doi:10.1007/978-3-642-03364-3_70

An automatic course generation system for organizing existent learning objects using particle swarm optimization

Yen Ting Lin, Shu Chen Cheng, Jin Tan Yang, Yueh Min Huang

Department of Engineering Science

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

2 Citations (Scopus)

Abstract

The purpose of this study is to consider that how to help instructors re-organize a well-structured teaching material utilizing existing learning objects. To cope with this problem, this study adopts a novel approach - particle swarm optimization (PSO) to achieve this aim. By employing this algorithm, the proposed approach can automatically re-organize a teaching material and meet multiple criteria specified by the instructors. In addition, evaluation results have demonstrated that the proposed approach is applicable that can help most instructors re-organize teaching materials efficiently and effectively.

Original language	English
Title of host publication	Learning by Playing
Subtitle of host publication	Game-based Education System Design and Development - 4th International Conference on E-Learning and Games, Edutainment 2009, Proceedings
Pages	565-570
Number of pages	6
DOIs	https://doi.org/10.1007/978-3-642-03364-3_70
Publication status	Published - 2009 Sept 14
Event	4th International Conference on E-Learning and Games, Edutainment 2009 - Banff, AB, Canada Duration: 2009 Aug 9 → 2009 Aug 11

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	5670 LNCS
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Other

Other	4th International Conference on E-Learning and Games, Edutainment 2009
Country/Territory	Canada
City	Banff, AB
Period	09-08-09 → 09-08-11

All Science Journal Classification (ASJC) codes

Theoretical Computer Science
General Computer Science

Access to Document

10.1007/978-3-642-03364-3_70

Cite this

Lin, Y. T., Cheng, S. C., Yang, J. T., & Huang, Y. M. (2009). An automatic course generation system for organizing existent learning objects using particle swarm optimization. In Learning by Playing: Game-based Education System Design and Development - 4th International Conference on E-Learning and Games, Edutainment 2009, Proceedings (pp. 565-570). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 5670 LNCS). https://doi.org/10.1007/978-3-642-03364-3_70

Lin, Yen Ting ; Cheng, Shu Chen ; Yang, Jin Tan et al. / An automatic course generation system for organizing existent learning objects using particle swarm optimization. Learning by Playing: Game-based Education System Design and Development - 4th International Conference on E-Learning and Games, Edutainment 2009, Proceedings. 2009. pp. 565-570 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

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title = "An automatic course generation system for organizing existent learning objects using particle swarm optimization",

abstract = "The purpose of this study is to consider that how to help instructors re-organize a well-structured teaching material utilizing existing learning objects. To cope with this problem, this study adopts a novel approach - particle swarm optimization (PSO) to achieve this aim. By employing this algorithm, the proposed approach can automatically re-organize a teaching material and meet multiple criteria specified by the instructors. In addition, evaluation results have demonstrated that the proposed approach is applicable that can help most instructors re-organize teaching materials efficiently and effectively.",

author = "Lin, {Yen Ting} and Cheng, {Shu Chen} and Yang, {Jin Tan} and Huang, {Yueh Min}",

year = "2009",

month = sep,

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series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",

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Lin, YT, Cheng, SC, Yang, JT & Huang, YM 2009, An automatic course generation system for organizing existent learning objects using particle swarm optimization. in Learning by Playing: Game-based Education System Design and Development - 4th International Conference on E-Learning and Games, Edutainment 2009, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 5670 LNCS, pp. 565-570, 4th International Conference on E-Learning and Games, Edutainment 2009, Banff, AB, Canada, 09-08-09. https://doi.org/10.1007/978-3-642-03364-3_70

An automatic course generation system for organizing existent learning objects using particle swarm optimization. / Lin, Yen Ting; Cheng, Shu Chen; Yang, Jin Tan et al.
Learning by Playing: Game-based Education System Design and Development - 4th International Conference on E-Learning and Games, Edutainment 2009, Proceedings. 2009. p. 565-570 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 5670 LNCS).

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

TY - GEN

T1 - An automatic course generation system for organizing existent learning objects using particle swarm optimization

AU - Lin, Yen Ting

AU - Cheng, Shu Chen

AU - Yang, Jin Tan

AU - Huang, Yueh Min

PY - 2009/9/14

Y1 - 2009/9/14

N2 - The purpose of this study is to consider that how to help instructors re-organize a well-structured teaching material utilizing existing learning objects. To cope with this problem, this study adopts a novel approach - particle swarm optimization (PSO) to achieve this aim. By employing this algorithm, the proposed approach can automatically re-organize a teaching material and meet multiple criteria specified by the instructors. In addition, evaluation results have demonstrated that the proposed approach is applicable that can help most instructors re-organize teaching materials efficiently and effectively.

AB - The purpose of this study is to consider that how to help instructors re-organize a well-structured teaching material utilizing existing learning objects. To cope with this problem, this study adopts a novel approach - particle swarm optimization (PSO) to achieve this aim. By employing this algorithm, the proposed approach can automatically re-organize a teaching material and meet multiple criteria specified by the instructors. In addition, evaluation results have demonstrated that the proposed approach is applicable that can help most instructors re-organize teaching materials efficiently and effectively.

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DO - 10.1007/978-3-642-03364-3_70

M3 - Conference contribution

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SN - 9783642033636

T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

SP - 565

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Lin YT, Cheng SC, Yang JT, Huang YM. An automatic course generation system for organizing existent learning objects using particle swarm optimization. In Learning by Playing: Game-based Education System Design and Development - 4th International Conference on E-Learning and Games, Edutainment 2009, Proceedings. 2009. p. 565-570. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/978-3-642-03364-3_70

An automatic course generation system for organizing existent learning objects using particle swarm optimization

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