""Current approaches frequently result in delays in students receiving necessary information about how their credits will transfer, the need to retake courses, and other negative consequences for students," said a statement the Council of Regional Accrediting Commissions released Monday. "Technological advances, such as AI, can help institutions improve this process.""
""There's a myth that accreditors don't allow for certain kinds of considerations during credit evaluation," said Heather Perfetti, president of the Middle States Commission on Higher Education and chair of CRAC. "Accreditors do actually promote innovation and encourage institutions to reconsider the ways they are managing transfer.""
""In 2024, 58 percent of transfer students reported some credit loss, according to a survey from the nonprofit research group Public Agenda; 20 percent of students who tried to transfer credit reported having to repeat a class they already took because their credits didn't transfer.""
College accreditors support using artificial intelligence to reduce credit loss during student transfers and to streamline transfer processes. The Council of Regional Accrediting Commissions represents seven accrediting agencies overseeing 3,000 degree-granting institutions and frames the support as non-mandatory guidance that signals compatibility with accreditation standards. Accreditors encourage innovation and urge institutions to reconsider how they manage transfer and course equivalencies. Credit loss during transfer contributes to lower degree completion rates. In 2024, 58 percent of transfer students reported some credit loss and 20 percent reported having to repeat courses because credits did not transfer.
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