A system based on data science to predict student dropouts
Friday, March 31, 2017 - 09:02
in Mathematics & Economics
There is currently a 30 percent student dropout rate in Europe, according to Education at a Glance (EAG). In Spain, these figures are between the 25 percent and 29 percent. In order to create a tool to assess and improve academic performance and reduce these levels, a team of the Faculty of Mathematics and Computer Science has published an article in the journal PLoS ONE that presents a data analysis system to predict student dropout. This tool is based on machine learning techniques.