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José M. Ortiz-Lozano; Pilar Aparicio-Chueca; Xavier M. Triadó-Ivern; Jose Luis Arroyo-Barrigüete – Studies in Higher Education, 2024
Student dropout is a major concern in studies investigating retention strategies in higher education. This study identifies which variables are important to predict student dropout, using academic data from 3583 first-year students on the Business Administration (BA) degree at the University of Barcelona (Spain). The results indicate that two…
Descriptors: Dropouts, Predictor Variables, Social Sciences, Law Students
Costa, Stella F.; Diniz, Michael M. – Education and Information Technologies, 2022
The large rates of students' failure is a very frequent problem in undergraduate courses, being even more evident in exact sciences. Pointing out the reasons of such problem is a paramount research topic, though not an easy task. An alternative is to use Educational Data Mining techniques (EDM), which enables one to convert data from educational…
Descriptors: Prediction, Undergraduate Students, Mathematics Education, Models
Çam, Zekeriya; Ögülmüs, Selahiddin – International Journal of Curriculum and Instruction, 2021
In this study, a model on the high school students' school burnout was tested, and the model's prediction of retained and promoted students was investigated. The school burnout model, in this sense, included the variables of grade point average (GPA), school burnout, perceived social support, stress, perfectionism, academic procrastination, and…
Descriptors: Burnout, High School Students, Adolescents, Grade Repetition
Lindsay, Keston; Carlsen-Landy, Bev; Boaz, Cammy; Marshall, David – International Journal of Research in Education and Science, 2017
Supplemental Instruction (SI) is a program that seeks to improve student success by targeting classes with high failure rates, as defined with a failure percentage of 30% or more. It is organized by an administrative SI supervisor who supervises SI leaders, which are students that have successfully completed the courses that they have been…
Descriptors: Predictor Variables, Academic Achievement, Supplementary Education, College Students
Mah, Dana-Kristin – Technology, Knowledge and Learning, 2016
Learning analytics and digital badges are emerging research fields in educational science. They both show promise for enhancing student retention in higher education, where withdrawals prior to degree completion remain at about 30% in Organisation for Economic Cooperation and Development member countries. This integrative review provides an…
Descriptors: Educational Research, Data Collection, Data Analysis, Recognition (Achievement)
Smith, Malcolm; Therry, Len; Whale, Jacqui – Higher Education Studies, 2012
This paper reports on the process involved in attempting to build a predictive model capable of identifying students at risk of failure in a first year accounting unit in an Australian university. Identifying attributes that contribute to students being at risk can lead to the development of appropriate intervention strategies and support…
Descriptors: Foreign Countries, At Risk Students, College Freshmen, Accounting
Obade, Masela Anyango – ProQuest LLC, 2013
Despite the increase in their college enrollment, nontraditional students in U.S. postsecondary institutions are less likely to stay in college until they earn their degree. What could explain nontraditional student high attrition rates and overall success beyond what their demographic characteristics reveal? The purpose of this study was to…
Descriptors: Nontraditional Students, Academic Achievement, Academic Persistence, Online Surveys
Schoeneberger, Jason A. – Clearing House: A Journal of Educational Strategies, Issues and Ideas, 2012
The elementary and middle grades are a time of great developmental changes with the potential to impact children's longer-term growth. As students progress through their formal schooling during these time periods, the potential exists for children either to follow a course of healthy development associated with positive outcomes or to experience…
Descriptors: Dropout Rate, Dropouts, At Risk Students, Identification
Rice, Elisabeth Hess; Yen, Cherng-Jyh – Education and Treatment of Children, 2010
Students with emotional disturbance (ED) have significant academic deficits (Trout, Nordness, Pierce, & Epstein, 2003; Lane, 2004). Even after identification and school intervention, students with ED continue to demonstrate limited academic achievement and high rates of drop out and school failure, with 80-90% scoring below grade level on tests of…
Descriptors: Emotional Disturbances, Academic Achievement, Gender Differences, Dropouts
Cogan, Michael F. – Journal of College Student Retention: Research, Theory & Practice, 2011
This study explored the outcome of academically dismissed students reinstated the semester following academic dismissal at a medium-size Midwestern University. Logistic regression was utilized to identify predictors that may assist academic administrators in making decisions regarding future reinstatement activities. The overall model correctly…
Descriptors: Undergraduate Students, Academic Failure, Expulsion, Academic Probation
Mac Iver, Martha Abele; Messel, Matthew – Council of the Great City Schools, 2012
This study of high school outcomes in the Baltimore City Public Schools builds on substantial prior research on the early warning indicators of dropping out. It sought to investigate whether the same variables that predicted a non-graduation outcome in other urban districts--attendance, behavior problems, and course failure--were also significant…
Descriptors: Academic Achievement, Grade Point Average, Enrollment, Behavior Problems
Duarte, Rosa; Escario, Jose Julian; Molina, Jose Alberto – Economics of Education Review, 2006
This paper examines the hypothetically bi-directional relationship which links marijuana consumption and school failure among students. To that end, we propose a simultaneous probability model, which is estimated by using the information provided by the three consecutive waves from the Spanish Surveys on Drug Use in the School Population [(1996,…
Descriptors: Models, Correlation, One Parent Family, Foreign Countries

Kells, H. R. – Planning for Higher Education, 1977
Reasons for the failure of many academic master plans are examined, primarily through the analysis of several short case studies. Practical suggestions are offered that may help colleges in developing those plans and in decision-making. (LBH)
Descriptors: Case Studies, College Planning, Decision Making, Failure

Ott, Mary Diederich – Research in Higher Education, 1988
Logistic regression was employed to analyze predictors of academic performance (academic dismissal versus satisfactory performance) for first-time freshmen after one semester in an eastern state university. The analyses indicated that academic performance was highly related to high school academic grade point average. (Author/MLW)
Descriptors: Academic Achievement, Academic Failure, College Freshmen, Expulsion
Kelleher, Constance; Riley-Tillman, T. Chris; Power, Thomas J. – Journal of Educational & Psychological Consultation, 2008
Although over 15 years have passed since Witt (1990) noted that no empirical evidence exists to support the contention that a collaborative approach to consultation leads to more positive outcomes than a hierarchical or expert driven approach, this issue generally remains unaddressed (Schulte & Osborne, 2003). While the literature documenting…
Descriptors: Intervention, Expertise, Consultants, Comparative Analysis
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