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Predicting University Student Retention using Artificial Intelligence

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Al-Azhar University – Gaza
Arqawi S.M.; Zitawi E.A.; Rabaya A.H.; Abunasser B.S.; Abu-Naser S.S.
Arqawi, Samer M. (57216524429); Zitawi, Eman Akef (57917254800); Rabaya, Anees Husni (57917061300); Abunasser, Basem S. (57841947400); Abu-Naser, Samy S. (26533902900)
57216524429; 57917254800; 57917061300; 57841947400; 26533902900
2022
International Journal of Advanced Computer Science and Applications
Predicting University Student Retention using Artificial Intelligence
13
9
315
324
Science and Information Organization
Industrial Management Department, Palestine Technical University-Kadoorie, Palestine; College of Graduate Studies - Department of Educational Administration, Arab American University Palestine, Palestine; Head of the Health Administration Department, Al Quds Open University, Palestine; University Malaysia of Computer Science & Engineering (UNIMY), Cyberjaya, Malaysia; Faculty of Engineering and Information Technology, Al-Azhar University, Gaza, Palestine
Arqawi S.M., Industrial Management Department, Palestine Technical University-Kadoorie, Palestine; Zitawi E.A., College of Graduate Studies - Department of Educational Administration, Arab American University Palestine, Palestine; Rabaya A.H., Head of the Health Administration Department, Al Quds Open University, Palestine; Abunasser B.S., University Malaysia of Computer Science & Engineering (UNIMY), Cyberjaya, Malaysia; Abu-Naser S.S., Faculty of Engineering and Information Technology, Al-Azhar University, Gaza, Palestine
52
10.14569/IJACSA.2022.0130937
Artificial intelligence; Deep learning; Machine learning; Prediction; Retention; Student
Deep learning; Forecasting; Learning algorithms; Learning systems; Supervised learning; Artificial intelligence techniques; Deep learning; F1 scores; Learning procedures; Machine-learning; Performance; Retention; Student retention; Supervised algorithm; University students; Students