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Emerging Technologies and Information Systems for the Knowledge Society

Volume 5288 of the series Lecture Notes in Computer Science pp 332-340

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

  • John PavlopoulosAffiliated withDepartment of Applied Technologies, NCSR DEMOKRITOS
  • , John VrettarosAffiliated withDepartment of Applied Technologies, NCSR DEMOKRITOS
  • , George VourosAffiliated withInfo and Communication Systems Eng, Aegean University
  • , Athanasios S. DrigasAffiliated withDepartment of Applied Technologies, NCSR DEMOKRITOS

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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.

Keywords

neural network genetic programming assessment learners