A component-based architecture for adaptive, collaborative web-based learning

Yugyung Lee, James Geller

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Scopus citations


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.

Original languageEnglish (US)
Title of host publicationAdvances in Web-Based Learning - 1st International Conference, ICWL 2002, Proceedings
EditorsJoseph Fong, Chu Ting Cheung, Hong Va Leong, Qing Li
PublisherSpringer Verlag
Number of pages13
ISBN (Electronic)3540440410, 9783540440413
StatePublished - 2002
Event1st International Conference on Web-Based Learning, ICWL 2002 - Hong Kong, China
Duration: Aug 17 2002Aug 19 2002

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349


Other1st International Conference on Web-Based Learning, ICWL 2002
CityHong Kong

All Science Journal Classification (ASJC) codes

  • Theoretical Computer Science
  • General Computer Science


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