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A Component-Based Architecture for Adaptive, Collaborative Web-Based Learning

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Advances in Web-Based Learning (ICWL 2002)

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Abstract

The limitations of current Internet-based learning systems (e.g., their inability to deal with diverse learners and requirements and the high cost of developing a new learning system) have lead to educational middleware that can handle diverse requirements and various learning components distributed over the Internet. Following the paradigm of component-oriented development we have designed a learning middleware suite, called the Collaborative and Sharable Learning (CoSL) system. CoSL is both a platform for building e-learning systems and a tool set for making it easier to develop course materials for elearning. The CoSL system is context-independent so that its adaptation to a specific topic can be achieved with limited effort and time. To meet the challenging requirements of learning systems, the CoSL system has adopted three advanced techniques: (1) XML-based data exchange and integration, (2) agent-based communication and (3) data mining-based intelligent decision making. CoSL allows us to build and manage global learning systems in a distributed and heterogeneous environment.

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References

  1. Beck J., et al: Using the student model to control problem difficulty (1997) http://citeseer.nj.nec.com/beck97using.html

  2. Biner, P., Bink, M., Huffman, M., Dean, R.: Personality characteristics differentiating and predicting the achievement of televised-course students and traditionalcourse students. The American Journal of Distance Education, 9(2), 46–60

    Google Scholar 

  3. Brenner, J.: An analysis of student’s cognitive styles in asynchronous distance education courses at a community college. Research Report. Southwest Virginia Community College. (ERIC Document Reproduction Service No. ED 415 924).

    Google Scholar 

  4. Brown, S., Santos, e., Banks, S., Oxley, M.: Using Explicit Requirements and Metrics for Interface Agent User Model Correction, Autonomous Agents (1998)

    Google Scholar 

  5. Brusilovsky, P.: Methods and techniques of adaptive hypermedia (1996) http://citeseer.nj.nec.com/brusilovsky96methods.html

  6. Cox, D., Huglin, L.: Instructional implications of learning style differences between on-campus and distance graduate students taught via asynchronous computer conferencing. Paper presented at the annual meeting of American Educational Research Association in New Orleans, LA, (2000)

    Google Scholar 

  7. El-Khouly, M., Far, B.H., Koono, Z.: Agent based computer tutorial system: an experiment for teaching computer languages (ATCL), Journal of Interactive Learning Research, vol.10, no.3–4, pp.275–85. Assoc. Advancement Comput. Educ (1999)

    Google Scholar 

  8. Emmerich, W.: Engineering Distributed Objects. John Wiley, 2000.

    Google Scholar 

  9. Finin, T., Weber, J., Wiederhold, G., Genesereth, M., Fritzson, R., Mckay, D., McGuire, J., Pelavin, R., Shapiro, S., Beck, C.: Specification of the KQML agentcommunication language. DARPA Knowledge Sharing Working Group

    Google Scholar 

  10. Ford, M., Poe, V., Cox, J.: Attending behaviors of ADHD children in math and reading using various types of software, Journal of Computing in Childhood Education, vol.4, no.2, pp.183–96 (1993)

    Google Scholar 

  11. Franke, A., Hess, S., Jung, D., Kohlhase, M., Sorge, V.: Agent-oriented integration of distributed mathematical services. Journal of Univ. Comp. Science, 5, 156–87 (1999)

    MATH  Google Scholar 

  12. Gustafson, T., Schafer, J.B., Konstan, J.: Agents in their Midst: Evaluating User Adaptation to Agent-Assisted Interfaces, IUI98, San Francisco, CA, (1998)

    Google Scholar 

  13. The Internet2 Application Frequently Asked Questions http://apps.internet2.edu/html/faq.html

  14. Lange, D., Oshima, M., Karjoth, G., Kosaka, K.: Aglets: Programming Mobile Agents in Java, In 1st International Conference on Worldwide Computing and Its Applications (WWCA’97), pp.253–266 (1997)

    Google Scholar 

  15. Lee, Y., Geller, J.: Efficient Transitive Closure Reasoning in a Combined Class/Part/Containment Hierarchy, Journal of Knowledge and Information System (in press) (2002)

    Google Scholar 

  16. Lee, Y., Geller, J.: Parallel Transitive Reasoning in Mixed Relational Hierarchy, in Proceedings of the Knowledge Representation and Reasoning, pp. 576–587 (1996)

    Google Scholar 

  17. Liu, B., Du, H., Feng, A., Wang, Y., Zhuo, J.: Synchronized multimedia courseware publishing system based on XML, Mini-Micro Systems, vol.21, no.7, pp.779–81. Mini-Micro Syst., China (2000)

    Google Scholar 

  18. Luchini, K.: Problems and potentials in web-based instruction, with particular focus on distance learning. Educational Technology and Society, 1(1) (1998)

    Google Scholar 

  19. Maes, P., Wexelblat, A.: Interface Agents, CHI96 Tutorials, pp. 369–370 (1996)

    Google Scholar 

  20. Milne, S., Shiu, E., Cook, J.: Development of a model of user attributes and its implementation within an adaptive tutoring system, User Modeling and User-Adapted Interaction, 6(4), pp.303–35. Kluwer Academic Publishers, Netherlands (1996).

    Google Scholar 

  21. Quinlan, J.: Constructing Decision Tree in C4.5: Programs for Machine Learning, pp.17–26, Morgan Kaufman Publishers (1993)

    Google Scholar 

  22. Ravenscroft, A.: Designing argumentation for conceptual development, Computers and Education, vol.34, no.3–4, pp.241–55. Elsevier, UK (2000)

    Google Scholar 

  23. Rickel J., Johnson, W.: Mixed-Initiative Interaction between Pedagogical Agents and Students in Virtual Environments, in Proceedings of AAAI spring symposium on Computational Models for Mixed Initiative Interaction, March (1997)

    Google Scholar 

  24. Schindler, R., Schuster, A.: Preknowledge and the efficiency of self-guided user’s learning, ECCE 3. Third European Conference on Cognitive Ergonomics. Preprints. Inst. Nat. Recherche Inf. and Autom, pp.139–153. Le Chesnay, France (1986)

    Google Scholar 

  25. Schwab, I., Kobsa, A., Koychev, I.: Learning about users from observation, Adaptive User Interfaces. Proceedings of AAAI 2000, pp.102–106. CA, March (2000)

    Google Scholar 

  26. D’souza, D.F., Wills, A.C.: Objects, Components, and Frameworks with UML: the Catalysis Approach. Addison Wesley (1999)

    Google Scholar 

  27. Sternberg, R.: Thinking styles. New York: Cambridge University Press, (1997)

    Google Scholar 

  28. Stone, T.: A new look at the role of locus of control in completion rates in distance education. Research in Distance Education, 4(2), 6–9, (1992)

    Google Scholar 

  29. Stonick, V., Kolodziej, W., Gygax, O.: Design of a guided-asynchronous graduate course in multimedia signal processing, IEEE International Conference on Acoustics, Speech, and Signal Processing. Proceedings. ICASSP99 (Cat. No.99CH36258). IEEE. Part vol.4, 1999, pp.2033–2036 vol.4. (1999)

    Google Scholar 

  30. Thyfault, M.: Learning Management Systems Come of Age (2000) http://www.planetit.com/techcenters/docs/management_issues/news/PIT20010118S0014

  31. Weber, G.: Adaptive learning systems in the World Wide Web, Proceedings of the Seventh International Conference User Modeling (UM99). Springer. pp.371–377. Wien, Austria. 20-24 (1999)

    Google Scholar 

  32. Wesley, L.P., Shim, S.Y., Atreya, S.D., Booth, R.P.: ROADS: an environment for developing automated intelligent agents to support distance learning, Journal of Interactive Learning Research, 10(3–4), pp.321–33. Assoc. Advancement Comput. Educ, (1999)

    Google Scholar 

  33. Wiley, D.E.: The Instructional Use of Learning Objects. http://reusability.org/read/

  34. Wooldridge M., Jennings, N.: Intelligent agents: Theory and practice. The Knowledge Engineering Review, 10(2), pp.115–152 (1995)

    Article  Google Scholar 

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Lee, Y., Geller, J. (2002). A Component-Based Architecture for Adaptive, Collaborative Web-Based Learning. In: Fong, J., Cheung, C.T., Leong, H.V., Li, Q. (eds) Advances in Web-Based Learning. ICWL 2002. Lecture Notes in Computer Science, vol 2436. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-45689-9_17

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  • DOI: https://doi.org/10.1007/3-540-45689-9_17

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  • Print ISBN: 978-3-540-44041-3

  • Online ISBN: 978-3-540-45689-6

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