Intelligent tutor systems

Vol. 1086 C. Frasson, G. Gauthier, A. Lesgold (Eds.), Intelligent Tutoring Systems. Proceedings, 1996. XVII, 688 pages. 1996. 

In the field of education, many of the expert system applications are embedded inside the intelligent tutoring system (ITS) by using techniques from adaptive hypertext and hypermedia. ITS is a system that provides individualized tutoring or instruction. In contrast to other expert systems, ITS covers multiple knowledge areas ... 

A rule-based system is clearly superior from a pedagogical viewpoint. Such a system would be more open-ended since it could use periodic relations to extrapolate to related reactions. A rule-based system also has the capability of being inverted to be able to explain its answers, a necessity if the expert system is to be developed into an intelligent tutoring system. However, a rule-based system is also expected to have limitations in the number of predictions it can make, since rules must be formulated to cover many different types of reactions. 

In order to convert an expert system to an intelligent tutoring system, the expert system must be able to explain its answers. This explanation facility has been added to the PIRExS program by means of amendments to the rules and by addition of disk files that contain all the rules expressed in natural language (English). 

Boy, G. and Nuss, N. 1988. Knowledge acquisition by observation application to intelligent tutoring systems. In Proceedings of the Second European Knowledge Acquisition Workshop (EKAW-88), pp. 11.1-11.14. 

PiroUi, P. L., Gieeno, J. G. (1988). The problem space of instructional design. In J. Psotka, L. D. Massey, S. A. Mutter (Eds). Intelligent Tutoring Systems. Lessons Learned. Hillsdale, NJ Lawrence Erlbaum,... 

In the next study, we tried to devise a rudimentary HyperCard tutoring system which offered the subjects external incentives to monitor their browsing and information processing activities (see Duchastel, this book for differences between Hypermedia and intelligent tutoring systems - ITS - and ways to integrate Hypermedia into ITS). 

Poison, M.C. Richardson, J J. (1988). Foundations of intelligent tutoring systems. Hillsdale, NJ Lawrence Erlbaum. 

As information resources, intelligent tutoring systems (ITSs) are quite different from hypermedia systems (HMSs), principally because of the ITS emphasis on representation of knowledge. ITSs are artificial intelligence (AI) systems, whereas HMSs are not. The crucial distinction between them lies in how they treat information. 

Goldstein, I. (1982) The genetic graph A representation for the evolution of procedural knowledge. In Sleeman, D. Brown, J. S. Intelligent Tutoring Systems. New York Academic Press. 

Abstract In this paper some implications of the use of artificial intelligence techniques in Education are presented. The peculiar aspects of intelligent tutoring systems are described, pointing out the innovative features of such systems compared with traditional applications. Then, two existing educational systems, developed at the University of Rome La Sapienza , are presented. 

In this paper some of the implications of the exploitation of Artificial Intelligence in education are presented. In particular, the distinguishing features of Intelligent Tutoring Systems are described and compared with traditional applications. 

In this paper we have presented some implications of the use of artificial intelligence techniques in the field of Education. In particular, the distinguishing features of a new generation of computer-based educational systems, usually called intelligent tutoring systems, have been pointed out. Such features can be summarized in ... 

Micarelli, A., Mungo, F., Nucci, F. S., and Aiello, L. An Intelligent Tutoring System for the Analysis of Electrical Circuits. Proc. of the PEG Conference on Knowledge Based Environments for Teaching and Learning, Rapallo, Italy, 1991. 

Vol. F 80 Intelligent Tutoring Systems for Foreign Language Learning. The Bridge to International Communication. Edited by M. L Swartz and M. Yazdani. 1992. 

Vol. F 91 New Directions for Intelligent Tutoring Systems. Edited by E. Costa. 1992. 

Problem Solving and Explanation in Intelligent Tutoring Systems ... 

Ohlsson, S., Some Principles for Intelligent Tutoring, in R. Lawler and M. Yazdani (eds), AI and Education Learning Environments and Intelligent Tutoring Systems., Ablex Publishing, NJ, p.203-237, 1987. 

Russell, D.M., Moran, T.P., and Jordan, D.S., The Instructional Design Environment, in J. Psotka, L.D. Massey and S.A. Mutter (eds). Intelligent Tutoring Systems Lessons Learned, Lawrence Erlbaum Associates, Hillsdale, NJ, 1988. 

Wipond, K., and Jones, M., Curriculum and Knowledge Representation in a Knowledge-Based System for Curriculum Development. Proceedings of Intelligent Tutoring Systems (ITS-88), Montreal, p.97-102, 1988. 

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