Fuzzy Logic Representation for Student Modelling: Case Study on Geometry

Goel Gagan 1 Sébastien Lalle 2, 3 Vanda Luengo 4
2 SILEX - Supporting Interaction and Learning by Experience
LIRIS - Laboratoire d'InfoRmatique en Image et Systèmes d'information
4 MeTAH
LIG - Laboratoire d'Informatique de Grenoble
Abstract : Our aim is to develop a Fuzzy Logic based student model which removes the arbitrary specification of precise numbers and facilitates the modelling at a higher level of abstraction. Fuzzy Logic involves the use of natural language in the form of If-Then statements to demonstrate knowledge of domain experts and hence generates decisions and facilitates human reasoning based on imprecise information coming from the student-computer interaction. Our case study is in geometry. In this paper, we propose a fuzzy logic representation for student modelling and compare it with the Additive Factor Model (AFM) algorithm implemented on DataShop. Two rule-based fuzzy inference systems have been developed that ultimately predict the degree of error a student makes in the next attempt to the problem. Results indicate the rule-based systems achieve levels of accuracy matching that of the AFM algorithm.
Type de document :
Communication dans un congrès
Stefano A. Cerri, William J. Clancey, Giorgos Papadourakis, Kitty Panourgia. ITS 2012 - 11th International Conference on Intelligent Tutoring Systems - Co-adaptation in Learning, Jun 2012, Chania, Crête, Greece. Springer-Heidelberg, 7315, pp.428-433, 2012, Lecture Notes in Computer Science (LNCS). 〈10.1007/978-3-642-30950-2_55〉
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Contributeur : Denis Bouhineau <>
Soumis le : mardi 22 octobre 2013 - 18:56:18
Dernière modification le : mardi 16 janvier 2018 - 14:49:15

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Goel Gagan, Sébastien Lalle, Vanda Luengo. Fuzzy Logic Representation for Student Modelling: Case Study on Geometry. Stefano A. Cerri, William J. Clancey, Giorgos Papadourakis, Kitty Panourgia. ITS 2012 - 11th International Conference on Intelligent Tutoring Systems - Co-adaptation in Learning, Jun 2012, Chania, Crête, Greece. Springer-Heidelberg, 7315, pp.428-433, 2012, Lecture Notes in Computer Science (LNCS). 〈10.1007/978-3-642-30950-2_55〉. 〈hal-00873888〉

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