Applied artificial intelligence for teaching numeric topics in engineering disciplines

Date

1996

Advisors

Journal Title

Journal ISSN

ISSN

0302-9743

Volume Title

Publisher

Springer Berlin Heidelberg

Type

Book chapter

Peer reviewed

Yes

Abstract

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.

Description

Keywords

Artificial Intelligence, Computer Integrated Learning Environments, Intelligent Tutoring Tools, Intelligent Tutoring Systems

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

Rights

Research Institute