Title :
Case retrieval in CBR-Tutor
Author :
Reyes, Rhodora L. ; Sison, Raymund C.
Abstract :
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.
Keywords :
Internet; case-based reasoning; intelligent tutoring systems; teaching; CBR-Tutor; Internet agent-based tutoring system; adaptive instruction; case facilitator agent; case retrieval; case-based information agent; case-based reasoning; case-based tutor agent; global case libraries; system agent; teaching strategy; Computer aided instruction; Computer aided software engineering; Computer science education; Educational institutions; Filters; Internet; Libraries; Organizing;
Conference_Titel :
Computers in Education, 2002. Proceedings. International Conference on
Print_ISBN :
0-7695-1509-6
DOI :
10.1109/CIE.2002.1186102