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Reengineering the Feature Distillation Process: A case study in detection of Gaming the System., , , и . EDM, стр. 284-287. International Educational Data Mining Society (IEDMS), (2014)The Importance of Socio-Cultural Differences for Annotating and Detecting the Affective States of Students., , , , и . CoRR, (2019)Can Strategic Behaviour Facilitate Confusion Resolution? The Interplay Between Confusion and Metacognitive Strategies in Betty's Brain., , , , , , и . J. Learn. Anal., 8 (3): 28-44 (октября 2021)A Re-Analysis and Synthesis of Data on Affect Dynamics in Learning., , , и . IEEE Trans. Affect. Comput., 14 (2): 1696-1710 (апреля 2023)Unifying Computer-Based Assessment Across Conceptual Instruction, Problem-Solving, and Digital Games., , и . Technol. Knowl. Learn., 19 (1-2): 165-181 (2014)Special Issue on the Generalized Intelligent Framework for Tutoring (GIFT): Creating a Stable and Flexible Platform for Innovations in AIED Research., , , и . Int. J. Artif. Intell. Educ., 28 (2): 139-151 (2018)Meta-Affective Behaviour within an Intelligent Tutoring System for Mathematics., , , и . Int. J. Artif. Intell. Educ., 32 (1): 174-195 (2022)Comparing machine learning to knowledge engineering for student behavior modeling: a case study in gaming the system., и . Interact. Learn. Environ., 27 (5-6): 585-597 (2019)Improving Engagement in an E-Learning Environment., , , , и . AIED, том 9112 из Lecture Notes in Computer Science, стр. 730-733. Springer, (2015)An architecture for identifying and using effective learning behavior to help students manage learning., , , , , и . AIED Workshops, том 1009 из CEUR Workshop Proceedings, CEUR-WS.org, (2013)