Early Prediction of At-Risk Students in Secondary Education: A Countrywide K-12 Learning Analytics Initiative in Uruguay

Early Prediction of At-Risk Students in Secondary Education: A Countrywide K-12 Learning Analytics Initiative in Uruguay

This paper describes a nationwide learning analytics initiative in Uruguay focused on the future implementation of governmental policies to mitigate student retention and dropouts in secondary education. For this, data from a total of 258,440 students were used to generate automated models to predic...

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Bibliographic Details
Main Authors: Emanuel Marques Queiroga, Matheus Francisco Batista Machado, Virgínia Rodés Paragarino, Tiago Thompsen Primo, Cristian Cechinel
Format: Article
Language:English
Published: MDPI AG 2022-08-01
Series:Information
Subjects:
classification
educational strategies
secondary education
learning analytics
at-risk prediction
dropout prediction
Online Access:https://www.mdpi.com/2078-2489/13/9/401

Internet

https://www.mdpi.com/2078-2489/13/9/401

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