Abstract
Case‐based reasoning (CBR), which has long been considered a branch of artificial intelligence, has recently gained great attention in the knowledge management circle because of its capability for storing and retrieving experience‐based knowledge by emulating human memory, and its ability to function similar to organizational memory to preserve organizational knowledge. While many successful CBR systems have been developed as knowledge repositories for preserving intellectual capital and for problem solving in business communities, both the concept and methodology of CBR are still novelties in education communities. While there are a plethora of projects and practical pursuits for CBR applications in business, literature relating to designing, developing and evaluating practical CBR educational applications is conspicuously scant. Based on the issues encountered and lessons learned in a CBR system development project, this paper attempts to provide some pragmatic guidelines for those who are interested in applying the CBR knowledge repository approach to supporting knowledge creation and diffusion in the education domain.
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