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On Fixing the Right Problems in Predictive Analytics: AUC Is Not the Problem., , , , and . CoRR, (2024)Hierarchical Cluster Analysis Heatmaps and Pattern Analysis: An Approach for Visualizing Learning Management System Interaction Data., , , and . EDM, page 603-604. International Educational Data Mining Society (IEDMS), (2016)Engagement-Based Player Typologies Describe Game-Based Learning Outcomes., , , and . AIED (2), volume 13356 of Lecture Notes in Computer Science, page 325-328. Springer, (2022)NSF BIGDATA PI Meeting - Domain-Specific Research Directions and Data Sets., , , , , , , , , and 1 other author(s). SIGMOD Rec., 47 (3): 32-35 (2018)Elaborating data intensive research methods through researcher-practitioner partnerships., , , and . LAK, page 540-541. ACM, (2016)A Typology of Players in the Game Physics Playground., , , and . DiGRA Conference, Digital Games Research Association, (2017)Predicting College Enrollment from Student Interaction with an Intelligent Tutoring System in Middle School., , , and . EDM, page 177-184. International Educational Data Mining Society, (2013)Data Analytics and Decision-Making in Education: Towards the Educational Data Scientist as a Key Actor in Schools and Higher Education Institutions, and . (2017)Quantifying How Students Use an Online Learning System: A Focus on Transitions and Performance., , , , and . EDM, page 640-641. International Educational Data Mining Society (IEDMS), (2016)Using correlational topic modeling for automated topic identification in intelligent tutoring systems., , , , and . LAK, page 393-397. ACM, (2017)