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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
Hahn, Andrew – Phi Delta Kappan, 1987
Although successful dropout assistance programs depend on effective implementation, casework, and long-term followup activities, the literature only occasionally addresses these practices. This article reviews data collection problems, major risk factors, reforms aimed at actual and potential dropouts, and alternative school programs. Second…
Descriptors: Caseworker Approach, Data Collection, Dropout Characteristics, Dropout Programs
Patton, Stanley R. – 1969
This document contains a design for creating an educational data bank of pupil personnel information. The specific information that should be collected and maintained in such an updatable data bank is described in detail. The document provides instructions on interpretation of this data for (1) predicting approximate percentages of students who…
Descriptors: Data Analysis, Data Collection, Data Processing, Databases
Morse, Susan C., Ed. – 1987
This summary of a forum for migrant educators defines dropout issues, explores solutions and models of service, and offers recommendations to address the needs of out-of-school migrant youth. Notes from forum workshops and summary task force reports deal with dropout identification/needs assessment, dropout/enrollment/graduation data, interagency…
Descriptors: Coordination, Data Collection, Dropout Characteristics, Dropout Prevention