An estimated 1,400 colleges and universities nationwide have invested in predictive analytics technology to identify which students are at risk of failing courses or dropping out, with spending estimated in the hundreds of millions of dollars. How accurate and stable are those predictions? The authors put six predictive models to the test to gain…

The purpose of this paper was to investigate the interventions and strategies used with students considered at-risk of dropping out of high school in Missouri public high schools. Self-determination theory was used to explain how students became motivated to stay in school when their need for competence, connection, and autonomy are fulfilled.…

This paper explores the factors contributing to high dropout rates in U.S. education, particularly in higher education, where 40% of students leave before completing their degrees. It examines causes such as financial difficulties, mental health issues, and lack of engagement, and discusses strategies to reduce dropouts. Key approaches include…