AI + Educator Input Can Supercharge College Credit Transfers

Kari Jaaskelainen

12 Jan 2026 — 1 min read

Transferring from a 2‑year to a 4‑year college too often means lost credits, extra costs, and delayed degrees.

Working with the State University of New York (SUNY), researchers tested a stakeholder‑informed AI that suggests course equivalencies between institutions—so more credits count the first time.

Co-designed with articulation staff and faculty; baseline recommendations saw a 61% average willingness to adopt.
A supervised alignment method avoids superficial catalog matches and institutional bias.
Results: 5.5× accuracy improvement over prior approaches and a projected 12× increase in valid credit‑mobility opportunities.

Why it matters: faster paths to bachelor’s degrees, fewer “wasted” credits, and scalable support for large systems—without sidelining human judgment.

Paper: https://arxiv.org/abs/2601.05666v1

Paper: https://arxiv.org/abs/2601.05666v1

Register: https://www.AiFeta.com

#HigherEd #AI #EdTech #StudentSuccess #CreditTransfer #CommunityCollege #SUNY #Equity

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