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Annotating Student Engagement Across Grades 1-12: Associations with Demographics and Expressivity.

, , , , and . AIED (1), volume 12748 of Lecture Notes in Computer Science, page 42-51. Springer, (2021)

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Detecting Behavioral Engagement of Students in the Wild Based on Contextual and Visual Data., , , , , and . CoRR, (2019)Conversational Intent Understanding for Passengers in Autonomous Vehicles., , , , and . CoRR, (2019)The Importance of Socio-Cultural Differences for Annotating and Detecting the Affective States of Students., , , , and . CoRR, (2019)Behavioral Engagement Detection of Students in the Wild., , , , , and . AIED, volume 10331 of Lecture Notes in Computer Science, page 250-261. Springer, (2017)Natural Language Interactions in Autonomous Vehicles: Intent Detection and Slot Filling from Passenger Utterances., , , , and . CICLing (2), volume 13452 of Lecture Notes in Computer Science, page 334-350. Springer, (2019)Towards an Emotional Engagement Model: Can Affective States of a Learner be Automatically Detected in a 1: 1 Learning Scenario?, , , , , , , , and . UMAP (Extended Proceedings), volume 1618 of CEUR Workshop Proceedings, CEUR-WS.org, (2016)Human Expert Labeling Process: Valence-Arousal Labeling for Students' Affective States., , , , and . MIS4TEL, volume 804 of Advances in Intelligent Systems and Computing, page 53-61. Springer, (2018)Towards Human Affect Modeling: A Comparative Analysis of Discrete Affect and Valence-Arousal Labeling., , , , and . HCI (29), volume 851 of Communications in Computer and Information Science, page 372-379. Springer, (2018)Unobtrusive and Multimodal Approach for Behavioral Engagement Detection of Students., , , , , and . CoRR, (2019)Students' emotional self-labels for personalized models., , , , , , and . LAK, page 550-551. ACM, (2017)