“…Third, clickstream data allow for novel analyses that aim to advance understanding of how to identify and cluster student subgroups, as well as to personalize interventions to support learning processes. This includes the identification of student subpopulations with respect to their use of online resources (Gasevic, Jovanovic, Pardo, and Dawson, 2017) or students' engagement patterns in MOOC environments (Guo and Reinecke, 2014;Kizilcec, Piech, and Schneider, 2013). These student clusterings may be used in sequential modeling techniques such as recurrent neural network methods that populate a recommendation system of optimal course progression for different types of learners (e.g., Pardos, Tang, Davis, and Le, 2017).…”