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Analyzing Learner Affect in a Scenario-Based Intelligent Tutoring System.

, , , , , , and . AIED, volume 10331 of Lecture Notes in Computer Science, page 544-547. Springer, (2017)

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Special Track on Intelligent Learning Technologies., and . FLAIRS, page 420. AAAI Press, (2018)Building an Intelligent PAL from the Tutor.com Session Database Phase 1: Data Mining., , , , , and . EDM, page 335-336. International Educational Data Mining Society (IEDMS), (2014)Adapting Instruction by Measuring Engagement with Machine Learning in Virtual Reality Training., , , and . HCI (34), volume 12214 of Lecture Notes in Computer Science, page 271-282. Springer, (2020)Modeling factions for 'effects based operations', part II: behavioral game theory., , , and . Comput. Math. Organ. Theory, 14 (2): 120-155 (2008)Sociocultural Games for Training and Analysis., , , , , and . IEEE Trans. Syst. Man Cybern. Part A, 37 (6): 1113-1130 (2007)Exploring real-time student models based on natural-language tutoring sessions., , , , , and . EDM, page 253-256. International Educational Data Mining Society (IEDMS), (2014)Hierarchical Dialogue Act Classification in Online Tutoring Sessions., , , and . EDM, page 600-601. International Educational Data Mining Society (IEDMS), (2015)Acting Engaged: Leveraging Player Persona Archetypes for Semi-Supervised Classification of Engagement., , , , and . EDM, International Educational Data Mining Society, (2021)Integrating GIFT and AutoTutor with Sharable Knowledge Objects (SKOs).. AIED Workshops, volume 1009 of CEUR Workshop Proceedings, CEUR-WS.org, (2013)Teaching Artificial Intelligence (AI) with AI for AI applications., , and . FLAIRS, AAAI Press, (2023)