A program of reproducibility research in the domain of learning analytics with a specific focus on predictive models of student success. It includes an open-source software infrastructure, the MOOC Replication Framework (MORF), which can be used to reproduce results on larger scale datasets. It also includes a report on reproductions of work from other scholars in the field, which uncovers a lack of generalizability of reported findings and illustrates the nuances of using predictive models in learning analytics.