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Chuan Cai; Adam Fleischhacker – Journal of Educational Data Mining, 2024
We propose a novel approach to address the issue of college student attrition by developing a hybrid model that combines a structural neural network with a piecewise exponential model. This hybrid model not only shows the potential to robustly identify students who are at high risk of dropout, but also provides insights into which factors are most…
Descriptors: College Students, Student Attrition, Dropouts, Potential Dropouts
Robert Whannell; Mitchell Parkes; Tim Bartlett-Taylor; Ingrid Harrington – Electronic Journal of e-Learning, 2024
This study reports on two key aspects relating to the use of the Online Learning Readiness Self-Check (OLRSC) survey, which has been proposed as identifying non-traditional students' readiness for online learning, and their strengths and weaknesses in six key areas. The first aspect validates the use of the instrument based on data from 199…
Descriptors: Learning Readiness, Electronic Learning, Surveys, Measures (Individuals)
Carey Harold Brown – ProQuest LLC, 2023
This study examined areas of concern within the community college level of higher education affecting the retention and attrition rates of African American male first-year students at three community colleges in the state of New Jersey. It used a four-stage investigative design to identify variable factors that are correlated to retention and…
Descriptors: Community College Students, African American Students, Males, Success
Naseem, Mohammed; Chaudhary, Kaylash; Sharma, Bibhya – Education and Information Technologies, 2022
The need for a knowledge-based society has perpetuated an increasing demand for higher education around the globe. Recently, there has been an increase in the demand for Computer Science professionals due to the rise in the use of ICT in the business, health and education sector. The enrollment numbers in Computer Science undergraduate programmes…
Descriptors: College Freshmen, Student Attrition, School Holding Power, Dropout Prevention
Jong Eun Lee – ProQuest LLC, 2021
Although there has been a growing body of research on student-athlete retention in higher education, no studies to date have conducted a meta-analysis for investigating predictors of student-athlete retention and attrition. Moreover, the results of existing literature indicate that the factors impacting collegiate athletes' retention are mixed.…
Descriptors: Student Athletes, School Holding Power, Student Attrition, Predictor Variables
Hearn, Shane; Benton, Madeleine; Funnell, Sarah; Marmolejo-Ramos, Fernando – Australian Journal of Indigenous Education, 2021
Aboriginal and Torres Strait Islander peoples remain significantly under-represented in higher education systems. There are significant disparities in university completion rates for Aboriginal and Torres Strait Islander students compared with their non-Indigenous counterparts. The poor-retention and high-attrition rates among Aboriginal and…
Descriptors: Indigenous Populations, Minority Group Students, College Students, School Holding Power
Erika R. Whittier – ProQuest LLC, 2021
This observational, quantitative longitudinal study examined the retention gap among students studying exclusively online and those studying on-campus and compared variables related to outcomes and the completion rates of students at one private, non-profit, four-year university Master of Public Health Program (MPH) in the Midwest. It was unknown…
Descriptors: Electronic Learning, School Holding Power, In Person Learning, Outcomes of Education
Radunzel, Justine – Journal of College Student Retention: Research, Theory & Practice, 2021
First-generation (FG) students are generally less likely than their continuing-generation (CG) peers to persist and complete a degree. Using student data available at initial enrollment, this multi-institutional study examines retention and transfer at the second year in relation to academic readiness, financial resources, college intentions,…
Descriptors: School Holding Power, Academic Persistence, Student Attrition, Dropout Rate
Shaw, Melanie; Burrus, Scott; Ferguson, Karen – Online Journal of Distance Learning Administration, 2016
Research was conducted to explore predictors for online higher education student attrition. This research was conducted using results from the SmarterMeasure Learning Readiness Indicator to track students in their degree programs. In addition, student outreach was conducted with an experimental group of at-risk students to determine if additional…
Descriptors: Online Courses, Student Attrition, Performance Factors, Predictor Variables
Anderton, Ryan S. – Australian Journal of Education, 2017
With an increasing number of students enrolling into Australian universities, developing an understanding of the variables underlying academic success, is growing in importance. In the present study, three first-year cohorts (2013-2015) studying towards five allied health or science degrees (n = 1,676 students) were examined to ascertain the…
Descriptors: Academic Achievement, Academic Persistence, School Holding Power, Student Attrition
McGee, Patricia; Valdes, Erin; Bullis, Danica – International Journal on E-Learning, 2016
While online course offerings have steadily risen over the last decade and it is estimated that 32% of college students have taken an online course (Allen & Seaman, 2013), the process of preparing students for blended and online courses has varied and is inconsistent across institutions. Attrition rates for online courses have been…
Descriptors: Blended Learning, Electronic Learning, Online Courses, College Students
Miller, Nathan Brad; Bell, Bryan – Journal of Continuing Higher Education, 2016
Increased federal attention to student completion metrics and uncertain financial forecasts have heightened the tenor of student retention conversations. Improved institutional retention rates will lead to higher completion rates and relieve some funding concerns. To accomplish these improvements, institutions have invested in analytics to better…
Descriptors: Academic Persistence, School Holding Power, Acceleration (Education), Communication Strategies
Shaw, Emily J.; Mattern, Krista D. – Educational Assessment, 2013
This study explores the value in using the difference between a student's predicted first-year grade point average (FYGPA), based on high school grade point average and SAT scores, and their observed FYGPA, namely, their FYGPA residual, as a tool in identifying those at risk for leaving an institution. Specifically, this study examined whether…
Descriptors: College Students, High Achievement, Low Achievement, Student Attrition
Kinloch, Nattie Freeda – ProQuest LLC, 2012
Community college attrition continues to rise. The lowest rate during the period of 1983-2008 for public two year community college retention was 51.3%, and the lowest retention rate for private two year colleges was 55.5% (Act, 2008, pp. 4). The purpose of this study is to examine the perspective of student retention by faculty members through…
Descriptors: School Holding Power, Student Attrition, College Faculty, Community Colleges
Beck, Hall P.; Davidson, William B. – Journal of The First-Year Experience & Students in Transition, 2015
This investigation sought to determine when colleges should conduct assessments to identify first-year students at risk of dropping out. Thirty-five variables were used to predict the persistence of 2,024 first-year students from four universities in the southeastern United States. The predictors were subdivided into groups according to when they…
Descriptors: College Students, College Freshmen, Higher Education, School Holding Power