On Data Protection Regulations, Big Data and Sledgehammers in Higher Education

On Data Protection Regulations, Big Data and Sledgehammers in Higher Education

Universities in Latin America commonly gather much more information about their students than allowed by data protection regulations in other parts of the world. We have tackled the question of whether abundant socio-economic data can be harnessed for the purpose of predicting academic outcomes and,...

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Bibliographic Details
Main Authors: Roberto Agustín García-Vélez, Martín López-Nores, Gabriel González-Fernández, Vladimir Espartaco Robles-Bykbaev, Manolis Wallace, José J. Pazos-Arias, Alberto Gil-Solla
Format: Article
Language:English
Published: MDPI AG 2019-07-01
Series:Applied Sciences
Subjects:
data protection
student records
performance prediction
Multi-Layer Perceptron
deep learning
Online Access:https://www.mdpi.com/2076-3417/9/15/3084

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https://www.mdpi.com/2076-3417/9/15/3084

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