Title :
A task oriented intelligent tutoring system
Author :
Alem, Leila ; Lee, Maria
Author_Institution :
Div. of Inf. Technol., CSIRO, North Ryde, NSW, Australia
Abstract :
The authors present an intelligent tutoring system for a sonar application. The system provides assistance to the student that supports a rich learning interaction and that provides online control of student progress. Providing guidance to learners is an area where AI researchers and computer based training (CBT) researchers can both make vital contributions. The authors have used both technologies to build an intelligent tutoring system which supports a rich learning interaction. They have adopted a constructive view of learning which aims to encourage the learner to take the initiative by providing assistance and explanations, rather than directive tutoring. They use a task analysis approach and argue that it provides a suitable way of structuring knowledge during the learning process. It models both the student activity in a learning scenario and the reasoning process of the knowledge base system. This approach allows online control of student progress, which is used as a basis for providing assistance that is sensitive to the current student evaluation assessment
Keywords :
computer based training; intelligent tutoring systems; TOITS; computer based training; learning interaction; online control; reasoning process; sonar application; structuring knowledge; student evaluation; student progress; task oriented intelligent tutoring system; Artificial intelligence; Australia; Control systems; Engines; Information technology; Intelligent systems; Knowledge based systems; Management training; Sonar applications; Student activities;
Conference_Titel :
Artificial Neural Networks and Expert Systems, 1993. Proceedings., First New Zealand International Two-Stream Conference on
Conference_Location :
Dunedin
Print_ISBN :
0-8186-4260-2
DOI :
10.1109/ANNES.1993.323045