W5 - Case-Based Reasoning in Intelligent Training Systems

Abstract

The workshop will bring together researchers working primarily in the design and development of intelligent systems in education. Emphasis is on the application of case-based reasoning (CBR) to support computer-based learning. This workshop intends to appraise the current level of development and to identify fruitful avenues of research for the next five years in case-based teaching systems. Important concerns in intelligent tutoring research (ITS) are how to ease implementation effort, enable reusability of software components, and how to realize the more ambitious objective of self-improvement (e.g., automated acquisition of pedagogical, problem-solving, and planning knowledge). These objectives of intelligent tutoring are commonly stated virtues of CBR. The workshop will examine the latest developments in supporting learning using CBR technology. We are interested in all aspects of CBR as relevant to learning environments. This includes learning environments whose architecture has a CBR component. It also includes systems whose pedagogical approach is case-based, such as a case method or a Socratic method of teaching, as well as systems that focus on selecting, tailoring, and/or presenting examples. Finally, it includes systems designed to teach skills of reasoning with cases. Of particular interest is the use of CBR in instruction and interaction planning. Central to this are strategies for selecting suitable interaction moves and responses, methods for generating explanations, and other techniques for tailoring the interaction between students and the tutor. Software issues are also relevant and the workshop will discuss architectures which include components dedicated to managing the interaction that use CBR.KeywordsIntelligent SystemPedagogical ApproachSoftware ComponentPedagogical AgentCase MethodThese keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.