Abstract
Our paper looks into the possibility of creating an Optimizer agent that can help a ITS System modify its teaching strategies in dealing with each individual student, so that the most efficient learning is achieved. Firstly, we will explain how the Tutor Systems on its own would work, explaining the problem of creating an effective decision structure in the Tutor and how other people have overcome this problem. Secondly, we introduce the concept of a “real-time” Optimizer and how it would work. Thirdly, we explain the test we will be using in testing this concept of an Optimizer agent. And fourthly and last, we finish with some conclusions resulting from our research.
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
Chen 2, Supporting Collaborative Knowledge Building with Intelligent Agents. In: Palade V, Howlett J R, Jain L (eds) Knowledge-Based Intelligent Information and Engineering Systems. Part II, pp. 238-244, Springer, Berlin, (2003)
Kosba, E., Dimitrova, V., Boyle, R.: Using Fuzzy Techniques to Model Students in Web-Based Learning Environments. In: Palade, V., Howlett, R.J., Jain, L. (eds.) KES 2003. LNCS, vol. 2774, p. 222. Springer, Heidelberg (2003)
Lascio, l., Fischetti, E., Gisolfi, A.: A Fuzzy-Based Approach to Stereotype Selection in Hypermedia. User Modeling and User-Adapted Interaction 9(4) (April 1999)
McTaggart, J.: Intelligent Tutoring Systems and Education for the Future. In: 512X Literature Review, April 30, p. 2 (2001)
Millan, E., Perez-de-la-Cruz, J.L., Garcia, F.: Dynamic versus Static Student Models Based on Bayesian Networks: An Empirical Study. In: Palade, V., Howlett, R.J., Jain, L. (eds.) KES 2003. LNCS, vol. 2773, p. 11337. Springer, Heidelberg (2003)
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 Formation and Engineering Systems. Part II, pp. 986–992. Springer, Berlin (2003b)
Nkambou, R.: Managing Inference Process in Student Modeling for Intelligent Tutoring Systems. In: Proceedings of the 11th IEEE International Conference on Tools with Artificial Intelligent (November 1999)
Papanikolaou, K.A., Grigoriadou, M., Kornilakis, H., Magoulas, G.D.: Personalizing the Interaction in a Web-Based Educational Hypermedia System: the case of INSPIRE. User Modeling and User-Adapted Interaction 13(3) (August 2003)
Park, C., Kim, M.: Development of a Level-Based Instruction Model in Web-Based Education. In: Palade, V., Howlett, R.J., Jain, L. (eds.) KES 2003. LNCS, vol. 2773, p. 215. Springer, Heidelberg (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). An Optimizer Agent that Empowers an ITS System to “on-the-fly” Modify its Teaching Strategies. 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_123
Download citation
DOI: https://doi.org/10.1007/978-3-540-30132-5_123
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-23318-3
Online ISBN: 978-3-540-30132-5
eBook Packages: Springer Book Archive