This journal article discusses findings from a study in which researchers developed a machine learning classifier to predict nontraditional student dropout.

This journal article presents findings from a study of whether disability status and course delivery format affect course completion at a Historically Black College. The results show that students with disabilities are just as likely as peers without disabilities to complete courses, but students with disabilities were less likely to complete online versus traditionally delivered courses.

This journal article uses longitudinal data from Washington state to investigate the relationships among career and technical education (CTE) enrollment, inclusion in general education, and high school and postsecondary outcomes for students with learning disabilities. Researchers replicated earlier findings that students with learning disabilities who were enrolled in a "concentration" of CTE courses had higher rates of employment after graduation than observably similar students with learning disabilities who were enrolled in fewer CTE courses.

This call to action discusses the disproportionate impact from COVID-19 on Black, Latinx and Indigenous students, who have been hardest hit by practices and policies that result in credit loss when they transfer.

This journal article explores whether community college websites are a useful medium for providing knowledge relevant to degree completion. The findings suggest that participants frequently encountered problems with finding and understanding information about degree selection and completion. The content analysis of these problems yields recommendations for improving the usability of community college websites for answering common questions about degree completion.

In this video, our research teams discuss the benefits of participating in the College Completion Network, with a focus on how collaborating with fellow researchers and higher education practitioners is helping the teams provide high-quality, actionable evidence that can help move the dial on college completion.

This journal article uses data from the National Educational Longitudinal Study and hierarchical generalized linear modeling to examine both student- and school-level characteristics that explain variations in college enrollment among African American men and women (with Caucasians included as a contrast group). The results showed that student-level characteristics, including gender, socioeconomic status, and race, were all significant predictors of postsecondary enrollment.

This website, created by AIR researchers, provides useful information to data reporters and to data users on the data elements related to distance education collected in IPEDS.

AIR’s Dr. Rachel Dinkes joined panelists from academia, policymaking, and the U.S. higher education system to discuss who should foot the bill as postsecondary education expands in the United States.

This blog post uses newly released provisional data from the Integrated Postsecondary Education Data System’s (IPEDS) Fall Enrollment (EF) survey to provide an updated look at whether beginning college students are attending school in their home state or heading elsewhere.