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Mining Association Rules of Optional Courses for Course Coordinator

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New Horizons in Web-Based Learning - ICWL 2010 Workshops (ICWL 2010)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 6537))

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Abstract

In the aspect of the faculty, a course coordinator plays a significant role in managing the curriculum and counseling students on academic matters and fostering their progress in the course. However, the course coordinator cannot afford to advise students on which fields of their faculty fit them and which courses they have to take. We searched for relationships between subjects, using association rules, by mining data about the courses already taken by students, and compared these to existing course trees. And we wish to do so that can utilize to taking a course tree enactment or when revise reference data using subject information that association rule through this research. This information could be used for updating course trees.

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References

  1. Chu, K., et al.: Designing a Course Recommendation System on Web based on the Students’ Course Selection Records. In: Kommers, P., Richards, G. (eds.) Proceedings of World Conference on Educational Multimedia, Hypermedia and Telecommunications, pp. 14–21 (2003)

    Google Scholar 

  2. Agrawal, R., Srikant, R.: Fast Algorithms for Mining Association Rules in Large Databases. In: Proceedings of the 20th International Conference on Very Large DataBases, pp. 478–499 (1994)

    Google Scholar 

  3. Chen, J.-S.M.-S., Yu, P.S.: An Effective Hash Based Algorithm for Mining Association Rules. In: Proceedings of ACM SIGMOD, pp. 175–186 (1995)

    Google Scholar 

  4. Queensland University of Technology, Manual of Policies and Procedures, Chapter B - Human resources, http://www.mopp.qut.edu.au/B/B_03_05.html

  5. Mehmed, K.: Data Mining: Concepts, Models, Methods, and Algorithms. IEEE Computer Society, IEEE Press (2003)

    Google Scholar 

  6. Piatetsky-Shapiro, G.: Discover, Analysis, and presentation of strong rules. In: PiatetskyShapiro, G., Frawley, W.J. (eds.) Knowledge Discovery in Databases, pp. 229–238. AAAI/MIT press (1991)

    Google Scholar 

  7. Ivanto, I.J., et al.: Intelligent Online Academic Management System. In: Zhou, W., Nicholson, P., Corbitt, B., Fong, J. (eds.) ICWL 2003. LNCS, vol. 2783, pp. 320–326. Springer, Heidelberg (2003)

    Chapter  Google Scholar 

  8. Liu, F., Moore, D.H.: GOPT-Resolution and Its Applications. In: Proceedings of the Eighth International Conference on Artificial Intelligence Applications, pp. 9–14 (1996)

    Google Scholar 

  9. La Trobe University., Course Finder, http://www.latrobe.edu.au/courseDB/courseFinder/courseFilter.jsp

  10. Hanyang University. EzHub, http://ezhub.hanyang.ac.kr

  11. Kopanakis, L., Theodoulidis, B.: Visual data mining modeling techniques for the visualization of mining outcomes. Journal of Visual Language and Computing, 543–589 (2003)

    Google Scholar 

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© 2011 Springer-Verlag Berlin Heidelberg

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Lee, Y., Cho, J., Jeong, S., Han, S., Choi, BU. (2011). Mining Association Rules of Optional Courses for Course Coordinator. In: Luo, X., Cao, Y., Yang, B., Liu, J., Ye, F. (eds) New Horizons in Web-Based Learning - ICWL 2010 Workshops. ICWL 2010. Lecture Notes in Computer Science, vol 6537. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-20539-2_34

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  • DOI: https://doi.org/10.1007/978-3-642-20539-2_34

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-20538-5

  • Online ISBN: 978-3-642-20539-2

  • eBook Packages: Computer ScienceComputer Science (R0)

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