Applying Dynamic Blog-Based Learning Map in Web Tutoring Assistances

  • Kun-Te Wang
  • Yu-Lin Jeng
  • Yueh-Min Huang
  • Tzone-I Wang
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4705)

Abstract

Web tutoring provides teachers with a variety of pedagogical options and is a convenient platform motivating learning materials for learners. This paper begins by retrieving relevant blog articles, and then integrating a learning map as a dynamic social learning model. Because these retrieved blog articles pertain to course materials, they can be used to promote learner engagement in their interactions with a learning map and hence, achieve their goals more easily. An experimental course has been launched and the results show that learners do make use of the blog-based learning and can eventually cross the specified test thresholds. Lecturers using the proposed approach can apply the principles of dynamic learning in ways which not only reduce teacher workload, but also enhance student learning through the active construction of knowledge supported by alternative perspectives within meaningful blog contexts.

Keywords

Problem-based Learning blog information retrieval dynamic learning map 

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. 1.
    Tseng, S.S., Sue, P.C., Su, J.M., Weng, J.F., Tsai, W.N.: A new approach for constructing the concept map. Computers & Education (2005)Google Scholar
  2. 2.
    Brusilovsky, P., Schwarz, E., Weber, G.: ELM-ART, An intelligent tutoring system on World Wide Web. In: Lesgold, A., Frasson, C., Gauthier, G. (eds.) ITS 1996. LNCS, vol. 1086, pp. 261–269. Springer, Heidelberg (1996)Google Scholar
  3. 3.
    Jonassen, D.H., Peck, K.L., Wilson, B.G.: Learning with Technology: A Constructivist Perspective. Prentice Hall, Upper Saddle River, NJ (1999)Google Scholar
  4. 4.
    DeSanctis, G., Wright, M., Jiang, L.: Building a global learning community. Communications of the ACM 44(12), 80–82 (2001)CrossRefGoogle Scholar
  5. 5.
    Google Groups. (2006), Retrieved February 2, 2006 from http://groups.google.com/
  6. 6.
    Medley, M.D.: The Potential of Listservs for Continuing Professional Education. Journal of Continuing Higher Education 47(2), 25–31 (1999)Google Scholar
  7. 7.
    Blood, R.: The Weblog Handbook: Practical Advice on Creating and Maintaining Your Blog. Perseus Publishing, Cambridge MA (2002)Google Scholar
  8. 8.
    Scardamalia, M.: CSILE/Knowledge Forum. In: Education and Technology: An encyclopedia (183-192). Santa Barbara: ABC-CLIO (2004)Google Scholar
  9. 9.
    Lin, F.H.: Modeling online instruction knowledge for virtual training systems using Petri Nets. In: Lin, F.H. (ed.) Proceedings of IEEE Pacific Rim Conference on Communications, Computers and Signal Processing, Victoria, B.C., Canada, vol. 1, pp. 212–215. IEEE, Los Alamitos (2001)Google Scholar
  10. 10.
    Su, J.M., Tseng, S.S., Chen, C.Y., Weng, J.F., Tsai, W.N.: Constructing SCORM Compliant Course Based on High Level Petri Nets. Journal of Computer Standards & Interfaces  (2005)Google Scholar
  11. 11.
    Chen, J.N., Huang, Y.M.: Applying Dynamic Fuzzy Petri Nets to Web Learning System. Journal of Interactive Learning Environments 13(3), 159–178 (2005)CrossRefGoogle Scholar
  12. 12.
    Petri, C.A., Mit, K.A.M.: PhD thesis, Bonn: Institut fuer Instru-mentelle Mathematik, Schriften des IIM Nr.3 (1962)Google Scholar
  13. 13.
    Peterson, J.L.: Petri Net Theory and the Modeling of Systems. Prentice Hall, Englewood Cliffs (1981)Google Scholar
  14. 14.
    Murata, T.: Petri Nets: Properties, Analysis and Applications. Proceedings of the IEEE 77(4) (1989)Google Scholar
  15. 15.
    Ray, W.H.: Advanced Process Control. McGraw-Hill, New York (1981)Google Scholar
  16. 16.
    David, R., Alla, H.: Autonomous and timed continuous Petri Nets. Advances in Petri Nets 674, 71–90 (1993)Google Scholar
  17. 17.
    Chen, J.N., Huang, Y.M.: Applying Dynamic Fuzzy Petri Nets to Web Learning System. Journal of Interactive Learning Environments 13(3), 159–178 (2005)CrossRefGoogle Scholar
  18. 18.
    Advanced Distributed Learning (ADL) initiative, Sharable Content Object Reference Model (SCORM) (2004) Retrieved February 2, 2007 from http://www.adlnet.org/
  19. 19.
    Baeza-Yates, R., Ribeiro-Neto, B.: Modern Information Retrieval. ACM Press and Addison Wesley (1999)Google Scholar
  20. 20.
    Salton, G., Wong, A., Yang, C.S.: A vector space model for information retrieval. Communication of ACM 18(11), 613–620 (1975)MATHCrossRefGoogle Scholar
  21. 21.
    Singhal,: Modern information retrieval: A brief overview. IEEE Data Eng. Bull. 24(4), 35–43 (2001)Google Scholar
  22. 22.
    Deerwester, S., Dumai, S.T., Furnas, G.W., Landauer, T.K., Harshman, R.: Indexing by latent semantic analysis. J. Am. Soc. Inf. Sci. 41(6), 391–407 (1990)CrossRefGoogle Scholar
  23. 23.
    Qiu, Y., Frei, H.: Concept based query expansion. In: SIGIR’93, Pittsburgh, PA (1993)Google Scholar
  24. 24.
    Ricardo, B.Y., Berthier, R.N.: Modern Information Retrieval. Addison-Wesley Publishing Co. ACM Press, pp. 23–38 (1999)Google Scholar
  25. 25.
    Cheng, S.C., Su, C.W., Lin, Y.T.: Mobile Learning with Intelligent Download Suggestions. IEEE Learning Technology Newsletter 7(3), 37–41 (2005)Google Scholar
  26. 26.
    Park, Y.C., Han, Y.S., Choi, K.: Automatic thesaurus construction using Bayesian networks. In: Proceedings of the Fourth international Conference on information and Knowledge Management, CIKM ’95, pp. 212–217. ACM Press, New York (1995)CrossRefGoogle Scholar
  27. 27.
    Salton, G.: Automatic Text Processing. Addison-Wesley Publishing Co, Reading (1989)Google Scholar
  28. 28.
    Salton, G., Buckley, C.: Improving retrieval performance by relevance feedback. Journal of the American Society for Information Science 41(4), 288–297 (1990)CrossRefGoogle Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2007

Authors and Affiliations

  • Kun-Te Wang
    • 1
  • Yu-Lin Jeng
    • 1
  • Yueh-Min Huang
    • 1
  • Tzone-I Wang
    • 1
  1. 1.Department of Engineering Science, National Cheng Kung University, Taiwan, No. 1, Ta-Hsueh Road, Tainan 701, TaiwanR.O.C.

Personalised recommendations