Abstract
Education is increasingly employing Intelligent Tutoring Systems (ITS) both for modelling instructional and teaching strategies and for empowering educational programs. First part of the paper introduces the basic structure of an ITS as well as the problems within of ITS. Chapter two describes WITNeSS – an original hybrid intelligent system in form of a Fuzzy-Neural Soft Computing System for optimising the presentation of learning material to a student for a particular problem. The experiments being conducted in the third chapter are focussed just on some ITS test problems regarding the “virtual students” (simulating the human learning behaviour) when WITNeSS was compared to CAPIT, another ITS. The concluding remarks are in chapter five.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Murray, T.: Authoring Intelligent Tutoring Systems: An Analysis of the state of the art. International Journal of Artificial Intelligence in Education 10, 98–129 (1999)
Self, J.: The Defining Characteristics of Intelligent Tutoring Systems Research: ITSs Care, Precisely. International Journal of Artificial Intelligence in Education 10, 350–364 (1999)
McTaggart, J.: Intelligent Tutoring Systems and Education for the Future. CI 512X Literature Review, 2 ( April 30, 2001)
Orey, M.A., Nelson, W.: A Development principles for intelligent tutoring systems: integrating cognitive theory into the development of computer-based instruction. Educational Technology Research and Development 41(1), 59–72 (1993)
Buiu, C.: Artificial intelligence in education – the state of the art and perspectives (ZIFF Papiere 111), Germany, Fern University, Institute for Research into Distance Education (ERIC Document Reproduction Service No. ED 434903) (1999)
El-Sheikh,E., Sticklen, J.: A Framework for Developing Intelligent Tutoring Systems Incorporating Reusability, http://isInotes.cps.msu.edu/5000a75d5t8bfc6e852566330057e19/$FILE/98-IEA_AIE.pdf
Jonassen, D.H., Grabinger, R.S.: Problem and issues in designing hypertext/ hypermedia for learning. In: Jonassen, D.H., Mandl, D. (eds.) Designing Hypermedia for Learning, NY, Springer, Heidelberg (1990)
Mayo, M., Mitrovic, A., McKenzie, J.: CAPIT: An Intelligent Tutoring System for Capitalisation and Punctuation. In: Kinshuk, J.C., Okamoto, T. (eds.) Advanced Learning Technology: Design and Development Issues, pp. 151–154. IEEE Computer Society, Los Alamitos (2000) ISBN: 0-7695-0653-4
Mayo, M., Mitrovic, A.: Optimising ITS Behaviour with Bayesian Networks and Decision Theory. International Journal of Artificial Intelligence in Education 12, 124–153 (2001)
Negoita, M.G., Neagu, C.D., Palade, V.: Engineering of Intelligent Hybrid Systems in Typical Applications to Computational Intelligence. Springer, Heidelberg (2003) (in publishing)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2003 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Negoita, M.G., Pritchard, D. (2003). Some Test Problems Regarding Intelligent Tutoring Systems. In: Palade, V., Howlett, R.J., Jain, L. (eds) Knowledge-Based Intelligent Information and Engineering Systems. KES 2003. Lecture Notes in Computer Science(), vol 2774. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-45226-3_135
Download citation
DOI: https://doi.org/10.1007/978-3-540-45226-3_135
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-40804-8
Online ISBN: 978-3-540-45226-3
eBook Packages: Springer Book Archive