Study on Case-Based Reasoning-Inspired Approaches to Machine-Learning

This commentary briefly reviews work on the application of case-based reasoning (CBR) to the design and construction of machine-learning approaches and computer-based teaching systems. The CBR cognitive model is at the core of constructivist learning approaches such as Goal-Based Scenarios and Learning by Design. Case libraries can play roles as intelligent resources while learning and frameworks for articulating one understands. More recently, CBR techniques have been applied to design and construction of simulation-based learning systems and serious games. The main ideas of CBR are explained and pointers to relevant references are provided, both for finished work and on-going research.