Many of us in higher education have begun to imagine a world where some of the administrative tasks associated with teaching and learning could be accomplished (dare I say offloaded?) through the use of AI. One such task is wraparound student support. Intelligent agents added to data-informed student support models could identify at-risk student behaviors more quickly than a human with a data model could. This would free up advisors and other student support employees to intervene with individual students in thoughtful and informed ways. AI can help deliver data-driven insights into how courses (and students) are performing, and which topics should be focused on or revised. This data can be used by faculty and administrators to improve overall course quality and ensure students receive the best possible education.
