Educational Data Mining: an Intelligent System to Predict Student Graduation AGPA

Data Mining for Student Outcome Prediction on Moodle: a systematic mapping

“…As EDM is still a new research domain, the great majority of the papers present data mining analysis of specific situations, experimenting with different types of methods [Hung et al 2016], [Zorrilla and Garcia-Saiz 2014], [Hu et al 2014], [Márquez-Vera et al 2013], [Romero et al 2013a], [Jovanovic et al 2012], [Kotsiantis 2012], [Minaei-Bidgoli et al 2003], [Thai-Nghe et al 2009], [Pardos et al 2012], [Romero et al 2008], [Sharma and Mavani 2011a] Neural Network [Gamulin et al 2016], [Cambruzzi et al 2015], [Shana and Abdulla 2015], [Sorour et al 2014], [Romero et al 2013a], [Kotsiantis 2012], [Sharma and Mavani 2011a], [Lykourentzou et al 2009b], [Lykourentzou et al 2009a] Bayesian Classification [Gamulin et al 2016], [Zorrilla and Garcia-Saiz 2014], [Romero et al 2013b], [Sharma and Mavani 2011b], [Sharma and Mavani 2011a], [Kotsiantis et al 2010], [Thai-Nghe et al 2009], [ Minaei-Bidgoli et al 2003] Support Vector Machines [Gamulin et al 2016], [Kotsiantis 2012], [Lykourentzou et al 2009b], [Thai-Nghe et al 2009] Genetic Algorithm [Márquez-Vera et al 2016], [Xing et al 2015], [Romero et al 2013a], [Zafra and Ventura 2012], [Zafra et al 2011], [Zafra and Ventura 2009],…”

“…The 42 papers included in this systematic mapping, have presented a variety of applied algorithms, but the most part related the use of classification methods to their educational data mining process, such as decision trees (C4.5, random forests, and others). And these methods show to be appropriated to students' prediction on Moodle data, because between the 10 highest accuracy (95% -100%) presented by publications, 9 are reached through classification methods [Márquez-Vera et al 2016, Sharma and Mavani 2011a, Lykourentzou et al 2009b, Shana and Abdulla 2015, Márquez-Vera et al 2013, Xing et al 2015, Gamulin et al 2016, Lykourentzou et al 2009a, Hu et al 2014.…”