Working Smarter in the Age of AI
Inside Higher Ed
By Beth Doyle, Carolyn Gentle-Genitty, and Jamienne S. Studley
Earlier this month, higher education policy leaders from all 50 states gathered in Minneapolis for the 2025 State Higher Education Executive Officers Higher Education Policy Conference. During a plenary session on the future of learning and work and its implications for higher education, Aneesh Raman, chief economic opportunity officer at LinkedIn, reflected on the growing need for people to be able to easily build and showcase their skills.
In response to this need, the avenues for learning have expanded, with high numbers of Americans now completing career-relevant training and skill-building through MOOCs, microcredentials and short-term certificates, as well as a growing number of students completing postsecondary coursework while in high school through dual enrollment.
The time for pontificating about the implications for higher education is past; what’s needed now is a pragmatic examination of our long-standing practices to ask, how do we evolve to keep up? We find it prudent and compelling to begin at the beginning—that is, with the learning-evaluation process (aka credit-evaluation process), as it stands to either help integrate more Americans into higher education or serve to push them out.
A 2024 survey of adult Americans conducted by Public Agenda for Sova and the Beyond Transfer Policy Advisory Board found, for example, that nearly four in 10 respondents attempted to transfer some type of credit toward a college credential. This included credit earned through traditional college enrollment and from nontraditional avenues, such as from trade/vocational school, from industry certification and from work or military experience. Of those who tried to transfer credit, 65 percent reported one or more negative experiences, including having to repeat prior courses, feeling limited in where they could enroll based on how their prior learning was counted and running out of financial aid when their prior learning was not counted. Worse, 16 percent gave up on earning a college credential altogether because the process of transferring credit was too difficult.
What if that process were drastically improved? The Council for Adult and Experiential Learning’s research on adult learners finds that 84 percent of likely enrollees and 55 percent of those less likely to enroll agree that the ability to receive credit for their work and life experience would have a strong influence on their college enrollment plans. Recognizing the untapped potential for both learners and institutions, we are working with a distinguished group of college and university leaders, accreditors, policy researchers and advocates who form the Learning Evaluation and Recognition for the Next Generation (LEARN) Commission to identify ways to improve learning mobility and promote credential completion….
….In addition to adverse impacts on students, MDRC research illuminates challenges that faculty and staff experience due to the highly manual nature of current processes. As colleges face dwindling dollars and real personnel capacity constraints, the status quo becomes unsustainable and untenable. Yet, we are hopeful that the thoughtful application of technology—including AI—can help slingshot institutions forward.
For example, institutions like Arizona State University and the City University of New York are leading the way in integrating technology to improve the student experience. The ASU Transfer Guide and CUNY’s Transfer Explorer democratize course equivalency information, “making it easy to see how course credits and prior learning experiences will transfer and count.” Further, researchers at UC Berkeley are studying how to leverage the plethora of data available—including course catalog descriptions, course articulation agreements and student enrollment data—to analyze existing course equivalencies and provide recommendations for additional courses that could be deemed equivalent. Such advances stand to reduce the staff burden for institutions while preserving academic quality….
….[W]e can redesign learning evaluation processes to accelerate students’ pathways and generate meaningful value in the changing landscape of learning and work. Through the LEARN Commission, we will continue to refine this vision and identify clear actionable steps. Stay tuned for the release of our full set of recommendations this fall and join the conversation at #BeyondTransfer.