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What exactly do students learn when they practice equation solving?: refining knowledge components with the additive factors model., , and . LAK, page 399-408. ACM, (2018)Designing for Complementarity: Teacher and Student Needs for Orchestration Support in AI-Enhanced Classrooms., , and . AIED (1), volume 11625 of Lecture Notes in Computer Science, page 157-171. Springer, (2019)Student Learning Benefits of a Mixed-Reality Teacher Awareness Tool in AI-Enhanced Classrooms., , and . AIED (1), volume 10947 of Lecture Notes in Computer Science, page 154-168. Springer, (2018)Opening Up an Intelligent Tutoring System Development Environment for Extensible Student Modeling., , , , , and . AIED (1), volume 10947 of Lecture Notes in Computer Science, page 169-183. Springer, (2018)Early Detection of Wheel Spinning: Comparison across Tutors, Models, Features, and Operationalizations., , , , , , , , and . EDM, International Educational Data Mining Society (IEDMS), (2019)Developing a Teacher Dashboard For Use with Intelligent Tutoring Systems., , , and . IWTA@EC-TEL, volume 1738 of CEUR Workshop Proceedings, page 15-23. CEUR-WS.org, (2016)Discovering hidden causes using statistical evidence., , and . CogSci, cognitivesciencesociety.org, (2014)Towards Understanding How to Leverage Sense-making, Induction/Refinement and Fluency to Improve Robust Learning., , , and . EDM, page 376-379. International Educational Data Mining Society (IEDMS), (2015)Intelligent tutors as teachers' aides: exploring teacher needs for real-time analytics in blended classrooms., , and . LAK, page 257-266. ACM, (2017)SPACLE: investigating learning across virtual and physical spaces using spatial replays., , and . LAK, page 358-367. ACM, (2017)