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Part of the book series: Communications in Computer and Information Science ((CCIS,volume 49))

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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.

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Drigas, A.S., Argyri, K., Vrettaros, J. (2009). Decade Review (1999-2009): Artificial Intelligence Techniques in Student Modeling. In: Lytras, M.D., Ordonez de Pablos, P., Damiani, E., Avison, D., Naeve, A., Horner, D.G. (eds) Best Practices for the Knowledge Society. Knowledge, Learning, Development and Technology for All. WSKS 2009. Communications in Computer and Information Science, vol 49. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-04757-2_59

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  • DOI: https://doi.org/10.1007/978-3-642-04757-2_59

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-04756-5

  • Online ISBN: 978-3-642-04757-2

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