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CannistrĂ , Marta; Masci, Chiara; Ieva, Francesca; Agasisti, Tommaso; Paganoni, Anna Maria – Studies in Higher Education, 2022
This paper combines a theoretical-based model with a data-driven approach to develop an Early Warning System that detects students who are more likely to dropout. The model uses innovative multilevel statistical and machine learning methods. The paper demonstrates the validity of the approach by applying it to administrative data from a leading…
Descriptors: Dropouts, Potential Dropouts, Dropout Prevention, Dropout Characteristics
Verstuyft, Lloyd Cyril – ProQuest LLC, 2010
The student dropout dilemma in the American educational system has remained unchanged for the past 30 years. Dropout figures show more than 6 million high school dropouts living in the United States today. The purpose of this study was to compare and analyze potential dropout variables between two groups of senior students at a local high school. …
Descriptors: Student Records, Educational Development, Student Needs, High Schools