Great Expectations is a Virginia Community College System program for youth who were in foster care after the age of 13. Foster youth enter college with multiple disadvantages, including being less academically prepared compared to their peers and often lacking social support for their education. A program evaluation was conducted at a specific…

The anticipation, inclusion, responsiveness, and reflexivity (AIRR) framework (Stilgoe et al., 2013) is a novel framework that has helped those in science and technology fields shift their focus from products to the processes used to create those products. However, the framework has not been known to be applied to the development and…

Nearly half of students who enter college do not graduate. The majority of efforts to increase college completion have focused on supporting students before or soon after they enter college, yet many students drop out after making significant progress towards their degree. In this paper, we report results from a multi-year, large-scale…

An estimated 1,400 colleges and universities nationwide have invested in predictive analytics technology to identify which students are at risk of failing courses or dropping out, with spending estimated in the hundreds of millions of dollars. How accurate and stable are those predictions? The authors put six predictive models to the test to gain…

Despite advances made in broadening access to higher education, some evidence suggests that college completion rates have actually declined over time, and attainment gaps stemming from race/ethnicity and socioeconomic background have remained stubbornly persistent (Bound, Lovenheim, & Turner, 2010; National Center for Education Statistics,…

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…

Objective: The psychometric properties of a measure of social determinants of health for college students entitled, The LIFESCREEN-C was developed. Participants: A sample of 226 college students completing an online survey during the 2018-2019 academic year. Methods: Tetrachoric correlations were used to confirm a three factor model. Results:…

This paper reports the results of a four-state collaboration--Illinois, New York, Texas, and Virginia--that uses Student Unit Record Database Systems that track students from high school into college. The goal is to determine whether it is possible to accurately predict whether individual students will not graduate using very early indicators…

This study's purpose is to explore the impact of the COVID-19 pandemic on international students who were studying at U.S. community colleges at the onset of this public health crisis. While previous work has explored the impact of the pandemic on international students generally, we argue that community college international students deserve…

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…

Early warning systems have been progressively implemented in higher education institutions to predict student performance. However, they usually fail at effectively integrating the many information sources available at universities to make more accurate and timely predictions, they often lack decision-making reasoning to motivate the reasons…

Early alert systems have promised to be an integral component of a student success solution. The purpose of this quantitative study was to examine the relationship between the use of the early alert system and persistence for students taking developmental education courses and students taking college-level courses in the Virginia Community College…

States invest heavily in education, providing funding either directly or in the form of financial aid from preschool through college, with positive outcomes from those impacting nearly every other area of public policy, particularly the workforce. To understand and assess results, states collect and analyze information about these investments at…

This case is for use in graduate courses in student affairs and higher education administration. It presents the challenges faced by student affairs professionals at the University of Virginia where some students participate in an annual high-risk drinking practice that has resulted in injuries and even death. Student affairs professionals at the…

To meet projected labor demands in science and engineering, the workforce of the future must be educated today in increasing numbers. Indeed, science, technology, engineering, and mathematics (STEM) underpin the government's ability to defend the nation and to assure the vitality of the economy. STEM jobs are the fastest growing occupational…