The Development of a Self-assessment System for the Learners Answers with the Use of GPNN

Authors:
John Pavlopoulos;John Vrettaros;George Vouros;Athanasios S. Drigas
Affiliations:
Department of Applied Technologies, NCSR DEMOKRITOS, Paraskevi, Greece 15310 Ag;Department of Applied Technologies, NCSR DEMOKRITOS, Paraskevi, Greece 15310 Ag;Info and Communication Systems Eng, Aegean University, Karlovassi, Greece 83200;Department of Applied Technologies, NCSR DEMOKRITOS, Paraskevi, Greece 15310 Ag
Venue:
WSKS '08 Proceedings of the 1st world summit on The Knowledge Society: Emerging Technologies and Information Systems for the Knowledge Society
Year:
2008

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Abstract

The goal of this study is the development of an assessment system with the support of a Neural Network approach optimized with the use of Genetic Programming. The data used as training data are real data derived from an educational project. The developed system is proved capable of assessing data from both single select and multiple choice questions in an e-learning environment. The final result is the assessment of the learners' answers through various criteria.