A case-based reasoning framework for knowledge structuring: Structuring the domain module in intelligent tutoring systems

摘要

This work presents a framework for structuring knowledge using case-based reasoning (CBR). This framework provides a basis to develop the knowledge module that is represented by cases. Similarity measures can be used to compare and recover cases. The paper investigates the use of CBR in the domain module and also the influence of different measures when cases are compared and the modeling, where distinct attributes define different cases to represent an specific knowledge. A tutorial system to train helicopter pilots illustrates our approach as a case study.