There are both pedagogical and logistical advantages to developing predictive models of student course achievement that make exclusive use of data from the learning management system (LMS).
From a teaching and learning perspective, it means focusing less on factors over which students have no control (like demographics and educational history), and more on concrete, real-time behaviors that can be changed and that directly relate to student success.
However, models are not consistent across all institutions. Learn more about what it takes to create a successful model and how certain best practices that are necessary for supporting predictive modelling using LMS data also benefit students in other ways.
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