Abstract
Education is increasingly using Intelligent Tutoring Systems (ITS), both for modeling instructional and teaching strategies and for enhancing educational programs. The first part of the paper introduces the basic structure of an ITS as well as common problems being experienced within the ITS community. The second part describes WITNeSS- an original hybrid intelligent system using Fuzzy-GA techniques for optimizing the presentation of learning material to a student. In part three our original work is related to the concept of a “virtual student”. This student mode, modeled using fuzzy technologies, will be useful for any ITS, providing it with an optimal learning strategy for fitting the ITS itself to the unique needs of each individual student. Experiments focus on problems developing a “virtual student” model, which simulates, in a rudimentary way, human learning behavior. The paper finishes with concluding remarks.
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
Buiu, C.: Artificial intelligence in education – the state of the art and perspectives. In: ZIFF Papiere 111, Fern University, Institute for Research into Distance Education, Germany (ERIC Document Reproduction Service No. ED 434903) (1999)
Kosba, E., et al.: Using Fuzzy Techniques to Model Students in Web-based Learning Environments. In: Knowledge-Based Intelligent Information and Engineering Systems. Part II, pp. 222–228. Springer, Berlin (2003)
McTaggart, J.: Intelligent Tutoring Systems and Education for the Future. In: 512X Literature Review, April 30 2001, p. 2 (2001)
Mayo, M.: Mitrovic Optimising ITS Behavior with Bayesian Networks and Decision Theory. International Journal of Artificial Intelligence in Education 12, 124–153 (2001)
Mayo, M., et al.: 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 Almitos (2000)
Negoita Gh, M., Pritchard, D.: Testing Intelligent Tutoring Systems by Virtual Students. In: Proceedings of International Conference on Machine-Learning and Applications (ICMLA 2003), Los Angeles, USA, pp. 98–104 (2003a)
Negoita Gh, M., Pritchard, D.: Some Test Problems Regarding Intelligent Tutoring Systems. In: Palade, V., Howlett, J.R., Jain, L. (eds.) Knowledge-Based Intelligent Information and Engineering Systems. Part II, pp. 986–992. Springer, Berlin (2003b)
Orey, M.A., Nelson, W.A.: Development Principles for Intelligent Tutoring Systems: Integrating Cognitive Theory into the Development of Computer-based Instruction. Journal of Educational Technology Research and Development 41(1), 59–72 (1993)
O’Riordann, C., Griffith, J.: Providing Personalised Recommendations in a Web-Based Education System. In: Palade, V., Howlett, J.R., Jain, L. (eds.) Knowledge-Based Intelligent Information and Engineering Systems. Part II, pp. 245–251. Springer, Berlin (2003)
Self, J.: The Defining Characteristics of Intelligent Tutoring Systems Research: ITS’s Care, Precisely. International Journal of Artificial Intelligent in Education 10, 350–364 (1999)
Smyth, B.: Intelligent Navigation on the Mobile Internet. In: Palade, V., Howlett, J.R., Jain, L. (eds.) Knowledge-Based Intelligent Information and Engineering Systems. Part I, pp. 17–19. Springer, Berlin (2003)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2004 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Negoita, M.G., Pritchard, D. (2004). Developing a “Virtual Student” Model to Test the Tutor and Optimiser Agents in an ITS. In: Negoita, M.G., Howlett, R.J., Jain, L.C. (eds) Knowledge-Based Intelligent Information and Engineering Systems. KES 2004. Lecture Notes in Computer Science(), vol 3213. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-30132-5_37
Download citation
DOI: https://doi.org/10.1007/978-3-540-30132-5_37
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-23318-3
Online ISBN: 978-3-540-30132-5
eBook Packages: Springer Book Archive