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Ntema, Ratoeba Piet – Journal of Student Affairs in Africa, 2022
Student dropout is a significant concern for university administrators, students and other stakeholders. Dropout is recognised as highly complex due to its multi-causality, which is expressed in the existing relationship in its explanatory variables associated with students, their socio-economic and academic conditions, and the characteristics of…
Descriptors: College Students, Dropout Characteristics, At Risk Students, Profiles
Joby Gardner; Asif Wilson; Shanita Bigelow – Community College Journal of Research and Practice, 2024
Institutions of higher education are presented as vital pathways to economic mobility, particularly for working class, first generation, and students of color. Yet the inequitable outcomes produced by post-secondary institutions suggest structures and systems of exclusion and enclosure. In this critical mixed methods case study, we explore the…
Descriptors: Correlation, Institutional Mission, Access to Education, Urban Schools
Alturki, Sarah; Cohausz, Lea; Stuckenschmidt, Heiner – Smart Learning Environments, 2022
The tremendous growth in electronic educational data creates the need to have meaningful information extracted from it. Educational Data Mining (EDM) is an exciting research area that can reveal valuable knowledge from educational databases. This knowledge can be used for many purposes, including identifying dropouts or weak students who need…
Descriptors: Information Retrieval, Data Analysis, Data Use, Prediction
Hartman, Jenifer J.; Janssens, Radford; Hensberry, Karina K. R. – Education Leadership Review, 2020
Data-driven decision making is a critical leadership skill. This study describes how leadership at a four-year university used extant data to improve student outcomes. The University identified the high rate of first-time-in-college (FTIC) student withdrawal/failure in initial algebra courses as having a detrimental effect on other student success…
Descriptors: College Freshmen, Student Placement, College Mathematics, Leadership
Foust, LaShanda Wardlow – ProQuest LLC, 2018
"For valid disability determination to occur, a diagnostic team needs to be able to determine that a student has received appropriate instruction in the general education classroom" (Johnson, Mellard, Fuchs, & McKnight, 2006, p. 4.2). The purpose of the study was to determine whether a middle school Response to Intervention (RTI)…
Descriptors: Response to Intervention, Fidelity, Program Implementation, Middle Schools
Using Data from Schools and Child Welfare Agencies to Predict Near-Term Academic Risks. REL 2020-027
Bruch, Julie; Gellar, Jonathan; Cattell, Lindsay; Hotchkiss, John; Killewald, Phil – Regional Educational Laboratory Mid-Atlantic, 2020
This report provides information for administrators, researchers, and student support staff in local education agencies who are interested in identifying students who are likely to have near-term academic problems such as absenteeism, suspensions, poor grades, and low performance on state tests. The report describes an approach for developing a…
Descriptors: At Risk Students, Data Use, Child Welfare, Predictor Variables
Bos, Johannes M.; Dhillon, Sonica; Borman, Trisha – American Institutes for Research, 2019
This is the final report of a large-scale independent evaluation of the Building Assets and Reducing Risks (BARR) model in ninth grade in eleven high schools in Maine, California, Minnesota, Kentucky, and Texas. This sample of schools included large and small schools in urban, suburban, and rural areas, serving students from a wide range of…
Descriptors: Grade 9, High Schools, High School Freshmen, Program Effectiveness

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