Predicting Student Dropout and Academic Success

Higher education institutions record a significant amount of data about their students, representing a considerable potential to generate information, knowledge, and monitoring. Both school dropout and educational failure in higher education are an obstacle to economic growth, employment, competitiv...

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Bibliographic Details
Published in:Data (Basel) 2022-11, Vol.7 (11), p.146
Main Authors: Realinho, Valentim, Machado, Jorge, Baptista, Luís, Martins, Mónica V.
Format: Article
Language:English
Subjects:
academic performance
Algorithms
Classification
Comparative studies
Data analysis
Datasets
Dropouts
Economic development
educational data mining
Enrollments
Forecasts and trends
Higher education
Higher education institutions
imbalanced classes
learning management system
Libraries
Machine learning
machine learning in education
Macroeconomics
multi-class classification
Nursing
Performance prediction
School dropouts
Socioeconomic factors
Students
Success
Tutoring
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