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Engagement-Based Player Typologies Describe Game-Based Learning Outcomes., , , и . AIED (2), том 13356 из Lecture Notes in Computer Science, стр. 325-328. Springer, (2022)Hierarchical Cluster Analysis Heatmaps and Pattern Analysis: An Approach for Visualizing Learning Management System Interaction Data., , , и . EDM, стр. 603-604. International Educational Data Mining Society (IEDMS), (2016)On Fixing the Right Problems in Predictive Analytics: AUC Is Not the Problem., , , , и . CoRR, (2024)Elaborating data intensive research methods through researcher-practitioner partnerships., , , и . LAK, стр. 540-541. ACM, (2016)A Typology of Players in the Game Physics Playground., , , и . DiGRA Conference, Digital Games Research Association, (2017)Predicting College Enrollment from Student Interaction with an Intelligent Tutoring System in Middle School., , , и . EDM, стр. 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, и . (2017)Quantifying How Students Use an Online Learning System: A Focus on Transitions and Performance., , , , и . EDM, стр. 640-641. International Educational Data Mining Society (IEDMS), (2016)Using correlational topic modeling for automated topic identification in intelligent tutoring systems., , , , и . LAK, стр. 393-397. ACM, (2017)