Case retrieval in CBR-tutor

• Main Authors: Reyes, R. L., Sison, Raymund C.
• Format: text
• Published: Animo Repository 2002
• Subjects: Intelligent tutoring systems; Web-based instruction; Computer Sciences; Educational Technology
• Online Access: https://animorepository.dlsu.edu.ph/faculty_research/4441
• Institution: De La Salle University

CBR-Tutor is an Internet agent-based tutoring system that uses case-based reasoning approach in providing adaptive instruction to its learners. Cases can quickly recognize whether a teaching strategy is relevant to apply in a given situation. It is composed of four types of agents. These are the system agent (SA), case facilitator agent (CFA), case-based information agent (CIA) and case-based tutor agent (CTA). The CTAs interact directly with the learner. It has a set of local cases, which are commonly used. If the local cases are not useful for the new situation, the CTA will request retrieval from the global set of cases. The CIAs are responsible for storing and retrieving cases from the global case libraries. These cases contain situations experienced by the CTAs in the system. This paper presents how cases are retrieved in CBR-Tutor. © 2002 IEEE.