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An Automatic Course Generation System for Organizing Existent Learning Objects Using Particle Swarm Optimization

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Learning by Playing. Game-based Education System Design and Development (Edutainment 2009)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 5670))

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.

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References

  1. Frederick, B.K., Michael, F.Y., Kelly, D.R., Schrader, P.G.: Defining distance learning and distance education. Educational Technology Review 9, 1–14 (2001)

    Google Scholar 

  2. Advanced Distributed Learning, http://www.adlnet.gov/downloads/311.cfm

  3. Shih, W.C., Tseng, S.S., Yang, C.T.: Wiki-based rapid prototyping for teaching-material design in e-Learning grids. Computers & Education 51, 1037–1057 (2008)

    Article  Google Scholar 

  4. Eberhart, E., Kennedy, J.: A new optimizer using particle swarm theory. In: 6th International Symposium on Micromachine and Human Science, pp. 39–43. IEEE Service Center, New York (1995)

    Chapter  Google Scholar 

  5. Kennedy, J., Eberhart, R.C.: Particle swarm optimization. In: IEEE International Conference on Neural Networks, pp. 1942–1948. IEEE Service Center, New York (1995)

    Google Scholar 

  6. Kennedy, J., Eberhart, R.C.: A discrete binary version of the particle swarm algorithm. In: IEEE International Conference on Systems, Man, and Cybernetics, pp. 4104–4108 (1997)

    Google Scholar 

  7. Yin, P.Y., Chang, K.C., Hwang, G.J., Hwang, G.H., Chan, Y.: A particle swarm optimization approach to composing serial test sheets for multiple assessment criteria. Educational Technology & Society 9, 3–15 (2006)

    Google Scholar 

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© 2009 Springer-Verlag Berlin Heidelberg

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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: Chang, M., Kuo, R., Kinshuk, Chen, GD., Hirose, M. (eds) Learning by Playing. Game-based Education System Design and Development. Edutainment 2009. Lecture Notes in Computer Science, vol 5670. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-03364-3_70

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  • DOI: https://doi.org/10.1007/978-3-642-03364-3_70

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-03363-6

  • Online ISBN: 978-3-642-03364-3

  • eBook Packages: Computer ScienceComputer Science (R0)

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