Open AccessThe Use of Machine Learning in Educational Datasets
Author(s) -
David Menoyo-Ros,
Antonio García-Cabot,
Eva García-López,
Adrián Domínguez
Publication year - 2020
Publication title -
european distance and e-learning network (eden) conference proceedings
Language(s) - English
Resource type - Journals
ISSN - 2707-2819
DOI - 10.38069/edenconf-2020-rw-0015
Subject(s) - machine learning , computer science , artificial intelligence , workflow , process (computing) , instance based learning , active learning (machine learning) , database , operating system
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.