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…

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…

The purpose of this research was to examine the relationship between selected factors from two of the domains within the Socio-Ecological Outcomes (SEO) model as defined by Wood and Harris (2013) and African American male community college students' academic success. Namely, this study assessed whether any relationships existed among the selected…

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…

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…

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…

The authors of this chapter present the Socio-Ecological Outcomes Model as a means of predicting student success for community college men of color.

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…

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…

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…

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…

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…

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…

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…

At community colleges, student preparedness for college-level work is a significant initial barrier. Over 70% of community college students are reported to be inadequately prepared for college mathematics. Because students need to pass college-level math in order to enroll in subsequent courses required for their majors or to complete general…