Decade review (1999-2009): progress of application of artificial intelligence tools in student diagnosis

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@Article{Drigas:2009:IJSHC,
  title =        "Decade review (1999-2009): progress of application of
                 artificial intelligence tools in student diagnosis",
  author =       "Athanasios S. Drigas and Katerina Argyri and 
                 John Vrettaros",
  publisher =    "Inderscience Publishers",
  year =         "2009",
  volume =       "1",
  journal =      "International Journal of Social and Humanistic
                 Computing",
  issue =        "2",
  pages =        "175--191",
  keywords =     "genetic algorithms, genetic programming, student
                 modelling, student diagnosis, fuzzy logic, neural
                 networks, student assessment, student evaluation,
                 adaptive learning, artificial intelligence, soft
                 computing, educational research, intelligent tutoring",
  ISSN =         "1752-6132",
  URL =          "http://www.inderscience.com/link.php?id=31006",
  DOI =          "doi:10.1504/IJSHC.2009.031006",
  language =     "eng",
  bibsource =    "OAI-PMH server at www.inderscience.com",
  abstract =     "Over the last decade, artificial intelligence has
                 offered a wide range of tools that have proved to be of
                 vital importance for educational research. Indeed,
                 logic, classifiers and machine learning methods,
                 probabilistic techniques for uncertain reasoning as
                 well as search and optimisation algorithms are only
                 several among the various approaches that artificial
                 intelligence has offered in dealing with real life
                 problems. This paper attempts to explore the research
                 that has been conducted on the application of the most
                 typical and popular soft computing techniques [fuzzy
                 logic, neural networks, Bayesian networks, genetic
                 programming and hybrid approaches such as neuro-fuzzy
                 systems and genetic programming neural networks
                 (GPNNs)] in student modelling over the decade
                 1999-2009. 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 so as to point out their qualities and
                 then we describe the most representative studies sought
                 in the decade of our interest after classifying them
                 according to the principal aim they attempted to
                 serve.",
  notes =        "See also
                 http://dx.doi.org/doi:10.1007/978-3-642-04757-2_59 Best
                 Practices for the Knowledge Society. Knowledge,
                 Learning, Development and Technology for All Second
                 World Summit on the Knowledge Society, WSKS 2009,
                 Chania, Crete, Greece, September 16-18, 2009.
                 Proceedings",
}

Genetic Programming entries for Athanasios S Drigas Katerina Argyri John Vrettaros

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