1. Factores explicativos de la deserción universitaria abordados mediante inteligencia artificial.
- Author
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Sebastián Parra-Sánchez, Juan, Torres Pardo, Ingrid Durley, and Martínez de Merino, Carmen Ysabel
- Subjects
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COLLEGE dropouts , *ARTIFICIAL intelligence , *COLLEGE students , *ECONOMIC impact , *SOCIODEMOGRAPHIC factors , *ACADEMIC ability , *LITERATURE reviews - Abstract
This paper identifies key research on the factors that help to explain university dropout and how these factors are being explored by means of artificial intelligence (AI). The study describes the methodology employed to select 31 papers from a repository of 2,745 reported in the literature. The analysis centered on the main AI methods used and four categories of explanatory factors of university dropout: academic factors; factors associated with motivation and study habits; institutional factors; and economic and sociodemographic factors. The conclusion drawn from this literature review is that AI is most commonly used for decision tree-based classification, and most studies focus on predicting university dropout on the basis of explanatory factors. [ABSTRACT FROM AUTHOR]
- Published
- 2023
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