This journal article discusses findings from a study in which researchers developed a machine learning classifier to predict nontraditional student dropout.
Researchers from AIR supported the U.S. Department of Education’s National Center for Education Statistics in data collection efforts related to IPEDS. Specifically, AIR staff prepared IPEDS survey components, developed and maintained written work products, prepared reports, verified statistics, provided expertise on complex data structures and data systems, and participated in planning meetings related to the postsecondary administrative data collection.
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.
Working with the U.S. Chamber of Commerce Foundation and Gallup, AIR developed state-specific Web applications that allow students to learn more about programs of study in their state that provide preparation for growing, middle-class wage jobs. These Web applications connect prospective students to state longitudinal data related to wage outcomes of particular programs and help them calculate and understand the relationship between their desired standard of living and choices of occupations, programs, and schools.
AIR created an online tool that allows users in Florida to view the return on investment associated with completing a degree from a particular state institution, in a particular major, at a particular level. The tool incorporates data from multiple sources, including statewide completion data, the Integrated Postsecondary Education Data System, and Gallup. AIR also produced a report describing the earnings outcomes for college completers of different levels of degrees in different majors from Florida institutions, as well as discussing student debt levels and job growth information. The goals of the project were to present the state’s educational outcome data in a way that makes it easy for users to compare and make decisions about their educational path.
AIR built a series of application program interfaces to allow non-college measures (CMs)-developed websites to access the underlying data and methods that power the CM tools within Country Music Television’s existing Empowering Education website. The goal of the project was to embed CM tools within several other non-CM websites.
AIR created an online tool that allows users in Utah to view the return on investment associated with completing a degree from a particular state institution, in a particular major, at a particular level. Researchers incorporated data from multiple sources, including statewide completion data, data from the Integrated Postsecondary Education Data System, Gallup, and more, to build the tool. The goal of the tool was to present the state’s educational outcome data in a way that makes it easy for users to compare and make decisions about their educational path.
AIR developed a coaching series, administered biannually to Wisconsin Technical College System staff. The aims of the series were to support the colleges’ abilities to use research, research methods, and data collection and analysis strategies.
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, in collaboration with IMPAQ, is designing and building a borrower-based dynamic microsimulation model of the repayment of federal student loans for the Cost Estimation and Analysis Division of the U.S. Department of Education's Office of Budget Services. This work will help the Department better estimate the costs and consequences of student loan debt for a wide array of student populations, as well as understand the impact of potential policy changes on loan program costs and student outcomes.