Machine Learning Predicts Upper Secondary Education Dropout as Early as the End of Primary School

arXiv:2403.14663v1 Announce Type: cross
Abstract: Education plays a pivotal role in alleviating poverty, driving economic growth, and empowering individuals, thereby significantly influencing societal and personal development. However, the persistent issue of school dropout poses a significant challenge, with its effects extending beyond the individual. While previous research has employed machine learning for dropout classification, these studies often suffer from a short-term focus, relying on data collected only a few years into the study period. This study expanded the modeling horizon …

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