Abstract
Knowledge evolution and curriculum management are generally components that remain external to ITSs. Most ITSs are situated in a more or less explicit theory of learning and teaching, but few implementations incorporate pieces of this theory. In this paper, we review previous works dealing with knowledge evolution and stand reference knowledge state as a basic concept for the domain knowledge of an ITS. We present our current model and ITS for algebraic problem-solving and set up knowledge evolution issues in algebra. We define and describe the reference network, a theoretical domain model allowing to include didactic evolutions and to share the student's tutoring between the ITS and the teacher.
This is a preview of subscription content, log in via an institution to check access.
Preview
Unable to display preview. Download preview PDF.
References
Baron M., Simonnet P.: Génération d'exercices en algèbre. Premières approches dans le cadre du projet APLUSIX. Proceedings of ITS'92, Montréal, Springer Verlag, 1992.
Dillenbourg P., Hilaro M., Mendelsohn P., Schneider D.: The MEMOLAB Project. TECFA report 91-5, University of Geneva, 1991.
Goldstein I.P.: The Genetic Graph: a Representation for the Evolution of Procedural knowledge. Intelligent Tutoring Systems (Sleeman, Brown eds). Academic Press 1982.
Les gold A.: Toward a Theory of Curriculum for Use in Designing Intelligent Instructional Systems. Learning Issues for Intelligent Tutoring Systems (Mandl & Lesgold eds), Springer Verlag, 1988.
Nicaud J.F., Saïdi M.: Explanation of algebraic reasoning: the APLUSIX System. Lecture Notes in Artificial Intelligence number 444, Springer-Verlag, 1989.
Nicaud J.F., Aubertin C, Nguyen-Xuan A., Saïdi M., Wach P.: APLUSIX: a learning environment for acquiring problem solving abilities. Cognitiva 90, Madrid, 1990.
Nicaud J.F.: Reference Network: A Genetic Model for Intelligent Tutoring Systems (long paper). LRI report, University of Paris 11, 1992.
Saïdi M.: Evaluation optimisée et planification en résolution d'exercices d'algèbre. Proceedings of 2ème journées EIAO de Cachan, 1991.
Vergnaud G.: La théorie des champs conceptuels. Recherche en didactique des mathématiques. Vol 10.2, La Pensée Sauvage, Grenoble 1991.
White Y.W., Frederiksen J.R.: Causal Model Progression as a foundation for Intelligent Learning Environments. Artificial Intelligence (42), 1990.
Author information
Authors and Affiliations
Editor information
Rights and permissions
Copyright information
© 1992 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Jean-François, N. (1992). Reference network: A genetic model for Intelligent Tutoring Systems. In: Frasson, C., Gauthier, G., McCalla, G.I. (eds) Intelligent Tutoring Systems. ITS 1992. Lecture Notes in Computer Science, vol 608. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-55606-0_43
Download citation
DOI: https://doi.org/10.1007/3-540-55606-0_43
Published:
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-55606-0
Online ISBN: 978-3-540-47254-4
eBook Packages: Springer Book Archive