The Use of Machine Learning in Educational Datasets
The Use of Machine Learning in Educational Datasets
Author(s): David Menoyo-Ros, Antonio Garcia-Cabot, Eva Garcia-Lopez, Adrian DominguezSubject(s): Social Sciences, Education, Higher Education
Published by: European Distance and E-Learning Network
Keywords: Machine learning; Data science; Datasets; Education; Workflow; Pre-processing; Outlier detection; Imputation of missing values; Data transformation; Dimensionality reduction
Summary/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.
Journal: European Distance and E-Learning Network (EDEN) Conference Proceedings
- Issue Year: 2020
- Issue No: 2
- Page Range: 131-140
- Page Count: 10
- Language: English