Predicting academic success by using context variables and probabilistic classification

Author:

Bahritidinov Bakhtiyor1,Sánchez Eduardo1

Affiliation:

1. Grupo de Sistemas Inteligentes (GSI), Centro Singular de Investigación en Tecnologías de la Información (CITIUS); University of Santiago de Compostela; Santiago de Compostela 15782 Spain

Publisher

Wiley

Subject

Artificial Intelligence,Computational Theory and Mathematics,Theoretical Computer Science,Control and Systems Engineering

Reference14 articles.

1. Behrouz M. B. William F. P. 2003 Using genetic algorithms for data mining optimization in an educational web-based system Proceedings of the 2003 International Conference on Genetic and Evolutionary Computation: PartII.

2. Data mining approach for predicting student perfor-mance;Edin;Economic Review - Journal of Economics and Business,2012

3. Personal, family and academic factors affecting low achievement in secondary schools;Díaz;Electronic Journal of Research in Educational Psychology and Psychopedagogy,2003

4. Gedeon T.D. Turner H.S. 1993 Explaining student grades predicted by a neural network. Neural networks . IJCNN ‘93-Nagoya. Proceedings of 1993 International Joint Conference, pp.609-612, vol.1, 25-29.

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