GPNN techniques in learning assessment systems
by John Vrettaros, John Pavlopoulos, Athanasios S. Drigas, Kostas Hrissagis
International Journal of Technology Enhanced Learning (IJTEL), Vol. 3, No. 4, 2011

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.

Online publication date: Thu, 26-Feb-2015

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