A case-based approach to collaborative learning for systems analyst education

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Abstract

In the Business Systems Design learning environment, there may be more than one solution to any given problem. We have developed CAMELOT (Collaborative and Multimedia Environment for Learners on Teams)[10] using the Nominal Group Technique for group problem solving. This paper describes the basic framework of the collaborative learning system, the effectiveness of collaborative learning in designing the Data Model, and how to apply AI technologies such as rule-based and case-based reasoning to the system. By using CAMELOT, each learner learns how to analyze through case studies and how to cooperate with a group in problem solving. Learners coine to a deeper understanding from using CAMELOT than from studying independently because they can reach better solutions through discussion, tips from other learners, examination of one another’s individual works, and pedagogical actions using case-based reasoning.

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Fuji, T., Tanigawa, T., Kozeni, M., Inui, M., & Saegusa, T. (1996). A case-based approach to collaborative learning for systems analyst education. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 1086, pp. 177–186). Springer Verlag. https://doi.org/10.1007/3-540-61327-7_114

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