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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)Students' emotional self-labels for personalized models., , , , , , and . LAK, page 550-551. ACM, (2017)Towards Understanding Emotional Reactions of Driver-Passenger Dyads in Automated Driving., , , , and . FG, page 585-592. IEEE Computer Society, (2018)Learner Engagement Measurement and Classification in 1: 1 Learning., , , , , , , , , and . ICMLA, page 545-552. IEEE, (2014)Role of Socio-cultural Differences in Labeling Students' Affective States., , , , and . AIED (1), volume 10947 of Lecture Notes in Computer Science, page 367-380. Springer, (2018)An unobtrusive and multimodal approach for behavioral engagement detection of students., , , , , and . MIE@ICMI, page 26-32. ACM, (2017)Investigating the Impact of a Real-time, Multimodal Student Engagement Analytics Technology in Authentic Classrooms., , , , , , and . CHI, page 304. ACM, (2019)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)