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Kelli A. Bird; Benjamin L. Castleman; Zachary Mabel; Yifeng Song – AERA Open, 2021
Colleges have increasingly turned to predictive analytics to target at-risk students for additional support. Most of the predictive analytic applications in higher education are proprietary, with private companies offering little transparency about their underlying models. We address this lack of transparency by systematically comparing two…
Descriptors: At Risk Students, Identification, Two Year College Students, Community Colleges
Kelli A. Bird; Benjamin L. Castleman; Zachary Mabel; Yifeng Song – Annenberg Institute for School Reform at Brown University, 2021
Colleges have increasingly turned to predictive analytics to target at-risk students for additional support. Most of the predictive analytic applications in higher education are proprietary, with private companies offering little transparency about their underlying models. We address this lack of transparency by systematically comparing two…
Descriptors: At Risk Students, Higher Education, Predictive Measurement, Models
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Volchok, Edward – Community College Journal of Research and Practice, 2018
This retrospective study evaluates early semester predictors of whether or not community college students will successfully complete blended or hybrid courses. These predictors are available to faculty by the fourth week of the semester. Success is defined as receiving a grade of C- or higher. Failure is defined as a grade below a C- or a…
Descriptors: Community Colleges, Success, Blended Learning, Models
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Natale, Vickie C.; Jones, Stephanie J. – Community College Journal of Research and Practice, 2018
The study examined how institutional and student characteristics may influence the earning of student success points by state-supported community colleges under the Texas performance funding system that was fully implemented in the 2016-2017 biennium. Texas has historically funded community colleges based on an enrollment formula; however, the…
Descriptors: Institutional Characteristics, Student Characteristics, Community Colleges, Two Year College Students
Turayev, Oybek – ProQuest LLC, 2018
Over the last two decades, educational technology (ET) integration has become an increasingly important aspect of higher education, particularly with the growth of online, distance and hybrid courses and degree programs. Furthermore, accrediting agencies such as the Higher Learning Commission (HLC) are paying close attention to online and hybrid…
Descriptors: Educational Technology, Technology Integration, Community Colleges, College Faculty
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Harris, Frank, III; Luke Wood, J. – New Directions for Community Colleges, 2016
The authors of this chapter present the Socio-Ecological Outcomes Model as a means of predicting student success for community college men of color.
Descriptors: Social Influences, Ecological Factors, Outcomes of Education, Models
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Snyder, Jennifer; Cudney, Elizabeth A. – Journal of STEM Education: Innovations and Research, 2017
During the last decade, there have been numerous reports detailing the importance of increasing science, technology, engineering, and math (STEM) majors in the United States. Simultaneously, an increasing number of studies are being developed to predict a student's success and completion of a STEM degree, recognizing that retention is a…
Descriptors: Community Colleges, Two Year College Students, Majors (Students), STEM Education
Miller, Emma Rebecca – ProQuest LLC, 2017
The purpose of this study was to determine what variables predict the use of instructional technology among community college instructors. Legislators, community college administrators, and students expect innovative lessons from instructors that use technology. This study addresses the problem of not knowing what predicts instructional technology…
Descriptors: Educational Technology, Technology Uses in Education, College Faculty, Community Colleges
Phronebarger, Andrea L. – ProQuest LLC, 2014
The present study was conducted in an effort to develop a model to predict "burnout" in community college faculty members using the demographic predictors of employment status, teaching load, age, teaching experience and gender. Originally termed by Herbert Freudenberger in 1974, burnout is a phenomenon that has been investigated in a…
Descriptors: Teacher Burnout, College Faculty, Community Colleges, Faculty Workload
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D'Amico, Mark M.; Dika, Sandra L.; Elling, Theodore W.; Algozzine, Bob; Ginn, Donna J. – Research in Higher Education, 2014
The purpose of this study was to explore academic and social integration and other outcomes for community college transfer students. The study used Tinto's ("Leaving college: Rethinking the causes and cures of student attrition," 1993) "Longitudinal Model of Institutional Departure" and Deil-Amen's ("J Higher…
Descriptors: College Transfer Students, Two Year College Students, Community Colleges, Social Integration
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Mertes, Scott J.; Hoover, Richard E. – Community College Journal of Research and Practice, 2014
Retention is a complex issue of great importance to community colleges. Several retention models have been developed to help explain this phenomenon. However, these models typically have used four-year college and university environments to build their foundations. Several researchers have attempted to identify predictor variables using…
Descriptors: Community Colleges, Predictor Variables, College Freshmen, Academic Persistence
Brown, Chanda Denea – Online Submission, 2015
This study explored whether a predictive model of student loan default could be developed with data from an institution's three-year cohort default rate report. The study used borrower data provided by a large two-year community college. Independent variables under investigation included total undergraduate Stafford student loan debt, total number…
Descriptors: Models, Loan Default, Community Colleges, Undergraduate Students
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Yu, Hongwei; Campbell, Dale; Mendoza, Pilar – Community College Journal of Research and Practice, 2015
Prior research studies associated the employment of part-time faculty with student degree and/or certificate completion (Benjamin, 2002; Ehrenberg & Zhang, 2005; Jacoby, 2006; Leslie & Gappa, 2002; Umbach, 2008; Umbach & Wawrzynski, 2005). To date, institutional-level data have been utilized to investigate whether such employment…
Descriptors: Community Colleges, Graduation, Associate Degrees, Certification
De La Garza, Thomas R. – ProQuest LLC, 2016
Student veteran achievement in community college has received increased attention this past decade with the surge in enrollment by returning military personnel and retired veterans. Similar to previous eras, today's student veterans seek post-war educational opportunities at postsecondary institutions. Yet unlike previous student veteran…
Descriptors: Veterans Education, Community Colleges, Two Year College Students, Student Needs
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Lichtenberger, Eric; Witt, M. Allison; Blankenberger, Bob; Franklin, Doug – Community College Journal of Research and Practice, 2014
The use of dual credit has been expanding rapidly. Dual credit is a college course taken by a high school student for which both college and high school credit is given. Previous studies provided limited quantitative evidence that dual credit/dual enrollment is directly connected to positive student outcomes. In this study, predictive statistics…
Descriptors: Dual Enrollment, College Credits, Community Colleges, Statistical Analysis
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