This article seeks to explore different combinations of human and Artificial Intelligence (AI) decision-making in the context of distributed learning. Distributed learning institutions face specific challenges such as high levels of student attrition and ensuring quality, cost-effective student support at scale using a range of technologies, such…

As a partner with the City University of New York (CUNY) on the Transfer Opportunity Project, MDRC's Center for Applied Behavioral Science (CABS) team used behavioral mapping to help identify the malleable factors (that is, the factors subject to change) that impede student transfer. MDRC and CUNY researchers conducted nearly 50 interviews and…

The current method of advising students at Grambling State University was compared with that of Computer-Assisted-Academic-Advisement-and-Placement (CAAAAP) to determine which approach would be more effective for advising students. The current method was a "semi-manual" method that takes quite a while to advise and place one student. As…

Results of a task force review of the student flow model at Mount Royal College (Alberta, Canada) are presented. Issues and recommendations are considered for: (1) pre-admission; (2) admission, academic advising, registration, and orientation; (3) instruction/academic support; and (4) post-graduation. Goals include: provide accurate information to…