GPNN techniques in learning assessment systems

Created by W.Langdon from gp-bibliography.bib Revision:1.3872

@Article{Vrettaros:2011:IJTEL,
  author =       "John Vrettaros and John Pavlopoulos and 
                 Athanasios S. Drigas and Kostas Hrissagis",
  title =        "{GPNN} techniques in learning assessment systems",
  journal =      "International Journal of Technology Enhanced
                 Learning",
  year =         "2011",
  volume =       "3",
  number =       "4",
  pages =        "415--429",
  month =        jan,
  keywords =     "genetic algorithms, genetic programming, neural
                 network, assessment system, expert system, learners,
                 e-learning, ANN",
  publisher =    "Inderscience Publishers",
  ISSN =         "1753-5263",
  bibsource =    "OAI-PMH server at www.inderscience.com",
  language =     "eng",
  URL =          "http://www.inderscience.com/link.php?id=41284",
  size =         "16 pages",
  abstract =     "The goal of this study is the development of an
                 assessment system with the support of a neural network
                 approach optimised with the use of genetic programming.
                 The data used as training data are real data derived
                 from an educational project. The developed system is
                 able to assess learners' answers through various
                 criteria and has been proved capable of assessing data
                 from both single select and multiple choice questions
                 in an e-learning environment.",
  notes =        "E-tutor",
}

Genetic Programming entries for John Vrettaros John Pavlopoulos Athanasios S Drigas Kostas Hrissagis

Citations