Applied artificial intelligence for teaching numeric topics in engineering disciplines
This paper presents a model of Computer Integrated Learning Environments (CILE) as adopted by TLTP Byzantium and the role of an Intelligent Tutoring Tool (ITT) within this model. It reviews the implementation of artificial intelligence, discussing the methodology used in storing the knowledge rules and their application by the inference engine. An ITT is a fine grain tutoring tool that provides for learning as well as assessing the conceptual knowledge with the help of a student model, a remote expert model and a local expert model. The dominant consideration in the design of an ITT is to keep the feedback short and simple and to drop to a finer grain size, through a suitable interface, wherever necessary. Other aspects of the ITT design are also discussed and some of the main features and weaknesses are identified.
Citation:Patel A. and Kinshuk (1996) Applied Artificial Intelligence for Teaching Numeric Topics in Engineering Disciplines. Lecture Notes in Computer Science, 1108, pp. 132-140