Described systems and techniques provide actionable insights to enable student support staff to identify students who are in need of support, even when such students have not requested support. Fast and accurate training of multiple machine learning models may be implemented to enable iterative, updateable predictions of a student's grade in a course, even when the course has never been previously offered to students. As a student progresses through a course and towards a degree that requires that course, described techniques may update a predicted final course grade of that student, using one or more trained, selected machine learning models.
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