The Use of Machine Learning in Educational Datasets

David Menoyo-Ros
University of Alcala
david.menoyo@edu.uah.es

Antonio Garcia-Cabot
University of Alcala
a.garciac@uah.es

Eva Garcia-Lopez
University of Alcala
eva.garcial@uah.es

Adrian Dominguez
University of Alcala
adrian.dominguez@uah.es

Abstract

The use of machine learning in educational datasets can be very important in predicting and detecting different behaviours related to education, so knowing the most useful techniques that help to effectively analyse these datasets will be very beneficial for any type of machine learning that needs to be performed. This paper explains the typical and common workflow for machine learning with educational datasets (interpreting the term machine learning as the algorithms that learn from data automatically), especially focusing on the pre-processing of these datasets, a process that takes place before machine learning algorithms are performed.

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