Abstract
More researchers recognize that it is an emergent and important issue that intelligent tutoring mechanism can be depicted, evaluated and measured on the uniform theoretical foundation which should be a highly formalized and computerized model in order to explore ITSs and advance effective and efficient cross-reference, fusion and integration among diverse intelligent tutoring models and systems. This paper proposes a novel uniform logic modeling method from an associative viewpoint and highlights the concrete formal models of three core elements (i.e. knowledge model, student model and pedagogical strategy model) in the architecture of an ITS.
This is a preview of subscription content, log in via an institution to check access.
Preview
Unable to display preview. Download preview PDF.
Similar content being viewed by others
References
Bloom, B.S., Englehart, M.D.: A Taxonomy of Educational Objectives: Handbook I. Cognitive Domain. In: Furst, E.J., Hill, W.H., Krathwohl, D. (eds.) A Taxonomy of Educational Objectives: Handbook I, David McKay, New York (1956)
Cao, C., Feng, Q., Gao, Y., et al.: Progress in the Development of National Knowledge Infrastructure. Journal of Computer Science and Technology 17(5), 523–534 (2002)
Dick, W., Carey, L., Carey, J.: The Systematic Design of Instruction, 5th edn. Harper Collins Publishers, New York (2001)
Gruber, T.R.: A translation approach to portable ontology specification. Knowledge Acquisition 5(2), 199–220
Kay, J.: Learner control. In: User Modeling and User-Adapted Interaction, Tenth Anniversary Special Issue, vol. 11(1-2), pp. 111–127. Kluwer, Dordrecht (2001)
Laughery, K.R., Wogalter, M.S.: Warnings and risk perception. In: Salvendy (ed.) Handbook of Human Factors and Ergonomics, 2nd edn. (1997)
Lesgold, A.: Towards a theory of curriculum for use in designing intelligent instructional systems. In: Mandl, H., Lesgold, A. (eds.) Learning issues for Intelligent Systems, Springer, Berlin (1988)
Martens, A.: Centralize the Tutoring Process in Intelligent Tutoring Systems. In: Proc. of the 5th International Conference on New Educational Environments, ICNEE 2003, Lucerne, Switzerland (May 26-28, 2003)
Murray, R.C., VanLehn, K.: DT Tutor: A decision-theoretic, dynamic approach for optimal selection of tutorial actions. In: Gauthier, G., VanLehn, K., Frasson, C. (eds.) ITS 2000. LNCS, vol. 1839, Springer, Heidelberg (2000)
Rasmussen, J.: Skills, rules, knowledge: Signals, signs, and symbols and other distinctions in human performance models. IEEE Transactions on Systems, Man, and Cybernetics 13, 257–267 (1983)
Reason, J.: Human Error. Cambridge University Press, Cambridge (1990)
Reddy, R.: Three open problems in AI. JACM 50(1), 83–86 (2003)
Self, J.A.: Formal approaches to student modelling. In: Greer, J.E., McCalla, G.I. (eds.) Student Modelling: the Key to Individualized Knowledge-Based Instruction, Springer, Berlin (1994)
Si, J., Yue, X., Cao, C., Sui, Y.: PIModel: A Pragmatic ITS Model Based on Instructional Automata Theory. In: The proceedings of The 17th International FLAIRS Conference, Miami Beach, Florida, May 2004, AAAI Press, Menlo Park (2004)
Siemer, J., Angelides, M.C.: Towards an Intelligent Tutoring System Architecture that Supports Remedial Tutoring. Artificial Intelligence Review 12(6), 469–511 (to appear, 1998)
Sui, Y., Si, J.: A formative description method in intelligent tutoring systems. Technical report (2004)
Wasson, B.: Determining the focus of Instruction: content planning for intelligent tutoring systems. Ph.D. Thesis, Department of Computer Science, University of Saskatchewan, Saskatoon, Canada (1990)
Yue, X., Cao, C.: Knowledge Design. In: Proceedings of International Workshop on Research Directions and Challenge Problems in Advanced Information Systems Engineering, Japan (September 2003)
Zapata-Rivera, J., Greer, J.: SMODEL server: student modelling in distributed multi-agent tutoring systems. In: Proceedings of the 10th International Conference on Artificial Intelligence in Education, San Antonio, Texas, May 19-23, 2001, pp. 446–455 (2001)
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
Si, J., Cao, C., Sui, Y., Yue, X., Xie, N. (2004). ULMM: A Uniform Logic Modeling Method in Intelligent Tutoring Systems. 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_39
Download citation
DOI: https://doi.org/10.1007/978-3-540-30132-5_39
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-23318-3
Online ISBN: 978-3-540-30132-5
eBook Packages: Springer Book Archive