Research on utilization of artificial intelligence in higher education has significantly
expanded in recent years. However, the existing literature in this domain highlights a …

In education, detecting students graduating on time is difficult due to high data complexity.
Researchers have employed various approaches in identifying on-time graduation with …

Data-driven educational decisions enabled by online technologies hold promise for
improving student performance across the full range of student dis/ability, even when efforts …

Higher education dropout is a multifaceted phenomenon influenced by various
interconnected factors, presenting challenges that often lead to inevitable departure from …

Der Beitrag bietet einen umfassenden Überblick über den aktuellen Stand der Forschung
zum Einsatz von Künstlicher Intelligenz (KI) in der Hochschulbildung. Im Fokus steht die …

University dropout is a social issue that directly impacts both families and the state,
characterized by disparities in enrollment and graduation based on various factors. The …

The purpose of this study is to address the challenge of student attrition in higher education
institutions by develo** an early warning system (EWS) using machine learning …

Higher education institutions face a problem with student turnover that has many aspects
and affects both students and universities in different ways. Using predictive analytics and …

In this study, a wide range of geoFigureical locations are investigated to investigate the
complex relationships that exist between agricultural productivity and important …

Using a large dataset that includes students' grades, demographic information, and other
educational variables from three American high schools, this research work investigates the …