Resources

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

Projects

AIR is conducting a 50-month research and evaluation project of 29 institutions and two state systems to enhance the Bill & Melinda Gates Foundation’s and the broader field’s understanding of the institutional transformation process. The goal of the project is to share findings and results from institutional-level and cross-case data related to what catalyzes the transformation process at an institution, the key components of effective models of transformation, how stakeholders are engaged in the transformation process, the timeline for seeing visible changes in institutional and student outcomes, and the risks to transformation.

AIR’s work with the College Completion Network brings together research teams to share ideas, build knowledge, conduct sound research, and share findings about postsecondary success. The Network’s goals include evaluating promising interventions related to college completion, building knowledge about college completion and postsecondary success, providing policymakers and college leaders with reliable evidence, and strengthening the work of Network research teams through collaboration.

The Regional Educational Laboratory Midwest, operated by AIR, in collaboration with Wisconsin Public Television, created a documentary that discusses promising practices for educators to help Black students on their journey to postsecondary education. The documentary sought to raise awareness about the best ways to support Black students’ higher education aspirations.

AIR is working with five open- and broad-access institutions across Texas to conduct a randomized controlled trial that assigns students to either corequisites or traditional developmental education courses and then compares 3-year outcomes in terms of course success, persistence, and degree completion. The goal of the study is to better understand the impact and implementation of corequisite courses in Texas community colleges.

AIR is evaluating STEMfast, a program developed by New Mexico Highlands University to provide comprehensive support services to Hispanic students and students from low-income backgrounds who are studying science, technology, engineering, and mathematics. STEMfast addresses the underrepresentation of these students in STEM fields and works to decrease the likelihood that developmental core subject courses will deter these students from persisting and graduating from college.

AIR, in collaboration with Student Veterans of America, will examine veterans’ experiences with, and perceptions of, having their learning recognized by a postsecondary institution as they try to obtain a postsecondary credential. The goals of the project are to develop a better understanding of the challenges veterans face in receiving recognition of their learning by postsecondary institutions, and to inform and support institutions’ efforts to address those challenges.

AIR conducted an analysis of student pathway choices through college and the extent to which they relate to successful degree completion and transfers from 2- to 4-year institutions. The aim of this research was to investigate and understand low college completion rates.

AIR is providing support for the Longitudinal Studies Branch, which is responsible for the design and operation of three national early childhood cohort studies and several longitudinal studies of middle school, high school, and postsecondary students. AIR is providing support across the full range of design and reporting activities associated with the major data collection projects and statistical studies, including study development, cognitive laboratory work, field test and national data collection activities, review of data files and data documentation, report review and development, outreach, user support, and training activities.