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Predicting student satisfaction in career choices using machine learning: a case study

Abstract Student satisfaction plays a crucial role in successful educational and career decision-making. This study investigates how artificial intelligence, specifically Support Vector Machine (SVM) models, can be used to predict student satisfaction with university choices by considering socio-eco...

Ausführliche Beschreibung

Gespeichert in:
Hauptverfasser: Mohamed Oubraime, Ahmed M’Hamdi, Abderrahim Sabour
Format: Artigo
Sprache:Inglês
Veröffentlicht: Springer 2026-03-01
Schriftenreihe:Discover Education
Schlagworte:
School and career guidance
Career satisfaction
Machine Learning (ML)
Support Vector Machine (SVM)
Online-Zugang:https://doi.org/10.1007/s44217-026-01337-9
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