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Decade Review (1999-2009): Artificial Intelligence Techniques in Student Modeling

By Athanasios S. Drigas, Katerina Argyri and John Vrettaros

Abstract

Abstract. Artificial Intelligence applications in educational field are getting more and more popular during the last decade (1999-2009) and that is why much relevant research has been conducted. In this paper, we present the most interesting attempts to apply artificial intelligence methods such as fuzzy logic, neural networks, genetic programming and hybrid approaches such as neuro – fuzzy systems and genetic programming neural networks (GPNN) in student modeling. This latest research trend is a part of every Intelligent Tutoring System and aims at generating and updating a student model in order to modify learning content to fit individual needs or to provide reliable assessment and feedback to student’s answers. In this paper, we make a brief presentation of methods used to point out their qualities and then we attempt a navigation to the most representative studies sought in the decade of our interest after classifying them according to the principal aim they attempted to serve

Topics: student modeling, student diagnosis, fuzzy logic, neural networks, genetic programming
Year: 2011
OAI identifier: oai:CiteSeerX.psu:10.1.1.186.6476
Provided by: CiteSeerX
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