Title :
Tutor, student and expert-modelling and interpretation in an ITS for fact finding
Author_Institution :
Sheffield City Polytech., UK
Abstract :
One of the most important features of an intelligent tutoring system is the construction of an accurate model to represent facts known about the student. In order to decide on the kind of tutoring a student should receive, knowledge is needed about what the student knows, how he/she learns and possibly some details about his/her personality and general ability. The author identifies a suitable approach for modelling the student in the subject domain-fact finding in information systems analysis work. He presents a discussion about modelling the student and the fact finding process and goes on to discuss the tutor´s role. A case for modelling the tutor´s activities is presented and a conclusion is drawn by suggesting a way forward for this project
Keywords :
artificial intelligence; computer aided instruction; expert systems; human factors; information analysis; ITS; accurate model; fact finding; general ability; information systems analysis work; intelligent tutoring system; personality; student modelling; subject domain; tutor role;
Conference_Titel :
Intelligent Tutorial Systems, IEE Colloquium on
Conference_Location :
London