Abstract
Web-based learning support system offers many benefits over traditional learning environments and has become very popular. The Web is a powerful environment for distributing information and delivering knowledge to an increasingly wide and diverse audience. Typical Web-based learning environments, such as Web-CT, Blackboard, include course content delivery tools, quiz modules, grade reporting systems, assignment submission components, etc. They are powerful integrated learning management systems (LMS) that support a number of activities performed by teachers and students during the learning process [1]. However, students who study a course on the Internet tend to be more heterogeneously distributed than those found in a traditional classroom situation. In order to achieve optimal efficiency in a learning process, an individual learner needs his or her own personalized assistance. For a web-based open and dynamic learning environment, personalized support for learners becomes more important. This chapter demonstrates how to realize personalized learning support in dynamic and heterogeneous learning environments by utilizing Adaptive Web technologies. It focuses on course personalization in terms of contents and teaching materials that is according to each student’s needs and capabilities. An example of using Rough Set to analyze student personal information to assist students with effective learning and predict student performance is presented.
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Brusilovsky, P. KnowledgeTree: “A Distributed Architecture for Adaptive E-learning”, WWW 2004, May 17–24, 2004, ACM 104–111.
J.T. Yao, J.P. Herbert: “Web-based Support Systems with Rough Set Analysis”, Proceedings of International Conference on Rough Sets and Emerging Intelligent System Paradigms (RSEISP’07), June 28–30, 2007, Warsaw, Poland, LNAI 4585, pp. 360–370.
Brusilovsky, P., Anderson, J., “An adaptive System for Learning Cognitive Psychology on the Web”, WebNet 98 World Conference of the WWW, Internet & Intranet, Orlando, Florida, November 7–12, 1998, pp. 92–97.
Gagne, R.M., Driscoll, M. P., “Essentials of Learning for Instruction”, New Jersey, Prentice Hall, 1998.
Papandreou, C.A., Adamopoulos, D.X., “Modelling a multimedia communication system for education and training”, Computer Communications 21, 1998, pp. 584–589.
Brusilovsky, P., “Methods and Techniques of Adaptive Hypermedia”, User Modelling and User Adapted Interaction, Vol. 6, N2–3, 1996, pp. 87–129.
Tennyson, R.D., Rothen, W., “Pre-task and On-task adaptive design strategies for selecting number of instances in concept acquisition”. Journal of Educational Psychology, Volume 69, 1977, pp. 586–592.
De Bra, P., “Teaching Through Adaptive Hypertext on the WWW.” International Journal of Educational Telecommunications. August 1997, pp. 163–179.
Da Silva, D.P., Van Durm, R., Duval, E. & Olivi, H., “Concepts and Documents for Adaptive Educational Hypermedia: a Model and a Prototype”, Second workshop on Adaptive Hypertext and Hypermedia, Ninth ACM Conference on Hypertext and Hypermedia, Pittsburgh, USA, June 20–24, 1998, pp. 35–43.
Yao, J.T., Yao, Y.Y., “Web-based Information Retrieval Support Systems: building research tools for scientists in the new information age”, Proceedings of the IEEE/WIC International Conference on Web Intelligence, 2003.
Wade., V. P., Power, C., “Evaluating the Design and Delivery of WWW Based Educational Environments and Courseware”, ITICSE’98, Dublin, Ireland, 1998.
Getting Started Tutorial for WebCT. http://www.webct.com/
Fan, L., Yao, Y. Y., “Web-based Learning Support System”, WI/IAT 2003 Workshop on Applications, Products and Services of Web-based Support Systems, October 2003, Halifax, Canada.
Mason, D., Woit, D., “Integrating Technology into Computer Science Examinations.” Proceeding of 29th SIGCSE., 1998, pp. 140–144.
Mason, D., Woit, D., “Providing Mark-up and Feedback to Students with Online Marking”, Proceeding of 30th SIGCSE, 1999, pp. 3–6.
Novak, J. D., “The Theory Underlying Concept Maps and How to Construct Them”. http://cmap.coginst.uwf.edu/info/
Ausubel, D. P., “Educational Psychology”, A Cognitive View, Holt, Rinehart & Winston, 1968.
Liang, A.H., Ziarko, W., and Maguire, B.,“The Application of a Distance Learning Algorithm in Web-Based Course Delivery.”, Rough Sets and Current Trends in Computing 2000, 338–345, Banff, Canada.
Magagula, C.M., Ngwenya, A.P., “A Comparative Analysis of the Academic Performance of Distance and On-campus Learners.” Turkish Online Journal of Distance Education, October 2004, Volume: 5 Number: 4.
Lavin, D.,“The Prediction of Academic Performance: A Theoretical Analysis and Review of Research.” New York: Russell Sage Foundation, 1965. pp. 182.
Vasilakos, T., Devedzic, V., Kinshuk, Pedrycz, W., “Computational Intelligence in Web-Based Education: A Tutorial”, JILR, Vol.15,No.4, 2004, pp. 299–318.
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Fan, L. (2010). Web-Based Learning Support System. In: Yao, J. (eds) Web-based Support Systems. Advanced Information and Knowledge Processing. Springer, London. https://doi.org/10.1007/978-1-84882-628-1_5
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DOI: https://doi.org/10.1007/978-1-84882-628-1_5
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