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Using Case-Based Reasoning for Collaborative Learning System on the Internet
Takashi FUJI Takeshi TANIGAWA Masahiro INUI Takeo SAEGUSA
IEICE TRANSACTIONS on Information and Systems
Publication Date: 1997/02/25
Print ISSN: 0916-8532
Type of Manuscript: Special Section PAPER (Special Issue on Educational System using Multimedia and Communication Technology)
Category: Collaboration and Agent system for learning support
collaborative learning, groupware, case-based reasoning, discussion model, internet,
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In the information engineering learning environment, there may be more than one solution to any given problem. We have developed CAMELOT using the Nominal Group Technique for group problem solving. This paper describes the collaborative learning system on the Internet using discussion model, the effectiveness of collaborative learning in modeling the entity-relationship diagram within the field of information engineering, and how to apply AI technologies such as rule-based reasoning and case-based reasoning to the pedagogical strategy. By using CAMELOT, each learner learns how to analyze through case studies and how to collaborate with his or her group in problem solving. As a result. We have found evidence for the effectiveness of collaborative learning, such as getting a deeper understanding by using CAMELOT than by individual learning, because they can reach better solutions through discussion, tips from other learners, examination of one another's individual solutions, and understanding alternative solutions using case-based reasoning.