GPNN techniques in learning assessment systems

Created by W.Langdon from gp-bibliography.bib Revision:1.8051

@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