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Soft Computing

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12.02.2018 | Methodologies and Application

Supporting academic decision making at higher educational institutions using machine learning-based algorithms

verfasst von: Yuri Nieto, Vicente García-Díaz, Carlos Montenegro, Rubén González Crespo

Erschienen in: Soft Computing | Ausgabe 12/2019

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Decisions made by deans and university managers greatly impact the entire academic community as well as society as a whole. In this paper, we present survey results on which academic decisions they concern and the variables involved in them. Using machine learning algorithms, we predicted graduation rates in a real case study to support decision making. Real data from five undergraduate engineering programs at District University Francisco Jose de Caldas in Colombia illustrate our results. The comparison between support vector machine and artificial neural network is held using the confusion matrix and the receiver operating characteristic curve. The algorithm methods and architecture are presented.

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Titel: Supporting academic decision making at higher educational institutions using machine learning-based algorithms
verfasst von: Yuri Nieto
Vicente García-Díaz
Carlos Montenegro
Rubén González Crespo
Publikationsdatum: 12.02.2018
Verlag: Springer Berlin Heidelberg
Erschienen in: Soft Computing / Ausgabe 12/2019
Print ISSN: 1432-7643
Elektronische ISSN: 1433-7479
DOI: https://doi.org/10.1007/s00500-018-3064-6

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