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Advancing credit mobility through stakeholder-informed AI design and adoption
This study develops a stakeholder-informed AI system to improve course articulation and credit transfer between colleges. By addressing concerns about superficial matching and institutional biases, their supervised alignment method achieves a significant accuracy improvement and projects a substantial increase in valid credit mobility opportunities for students.