Int. J. of Technology Enhanced Learning   »   2011 Vol.3, No.4

 

 

Title: GPNN techniques in learning assessment systems

 

Author: John Vrettaros, John Pavlopoulos, Athanasios S. Drigas, Kostas Hrissagis

 

Addresses:
Institute of Informatics and Telecommunications, Net Media Lab, N.C.S.R. Demokritos, Terma Patriarchou Grigoriou & Neapoleos, 27, Agia Paraskevi, 153 10, Athens, Greece.
Institute of Informatics and Telecommunications, Net Media Lab, N.C.S.R. Demokritos, Terma Patriarchou Grigoriou & Neapoleos, 27, Agia Paraskevi, 153 10, Athens, Greece.
Institute of Informatics and Telecommunications, Net Media Lab, N.C.S.R. Demokritos, Terma Patriarchou Grigoriou & Neapoleos, 27, Agia Paraskevi, 153 10, Athens, Greece.
Center for Research and Technology, Thessaly, Technology Park of Thessaly, 1st Industrial Area GR 385 00, Volos, Greece

 

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.

 

Keywords: neural networks; genetic programming; assessment systems; expert systems; learners; e-learning; electronic learning; online learning; internet; world wide web; GPNN; training data; real data; single questions; select questions; multiple choice questions; Dedalos; English language; second languages; deaf people; Greece; technology enhanced learning.

 

DOI: 10.1504/IJTEL.2011.041284

 

Int. J. of Technology Enhanced Learning, 2011 Vol.3, No.4, pp.415 - 429

 

Available online: 15 Jul 2011

 

 

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