This paper considers the detailed mechanics of transfer articulation in higher education and uses this foundation to formally quantify the inherent computational difficulties of various transfer-related problems. This background is followed by an investigation of the inefficiencies associated with transfer articulation processes, along with diagnoses of the underlying conditions that produce them. By considering the demographics of those who are most likely to transfer from community colleges, it is possible to identify these conditions as significant structural inequities built into the system of higher education in the United States. The manner in which information asymmetry contributes to these conditions is considered next, demonstrating how they lead to an inefficient marketplace for transfer students. Various approaches that have been used to reduce information asymmetry in transfer are considered, commenting on their potential benefits and limitations, using the computational framework as a reference. Next, a statewide transfer articulation portal is described, detailing how the design of this system was informed by the aforementioned computational framing. This transfer portal supports transfer articulation within a statewide system of schools and was built so as to reduce information asymmetry at a root source, namely by providing clarity around the underlying requirements that must be satisfied through course taking in order to earn a degree at both the home and receiving institutions. The significant complexity of this problem is considered, and an effective approximation algorithm is described that is shown to yield good results. The system also produces analyses of the transfer pathways it finds, helping students and advisors to better understand why various pathways are being recommended. This demonstration leads to a fundamental consideration that is addressed in the paper; specifically, the extent to which transfer processes can be made computable given appropriate relevant information. Finally, a discussion is provided regarding possible approaches that could be used to ensure essential transfer-related data and information is readily available across the system of higher education.
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