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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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3D Face Recognition Benchmarks on the Bosphorus Database with Focus on Facial Expressions., , , , , , and . BIOID, volume 5372 of Lecture Notes in Computer Science, page 57-66. Springer, (2008)Interpretable Machine Learning for Generating Semantically Meaningful Formative Feedback., and . CVPR Workshops, page 44-47. Computer Vision Foundation / IEEE, (2019)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)Masked projection for 3D face recognition under occlusion., , and . SIU, page 1746-1749. IEEE, (2014)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)An unobtrusive and multimodal approach for behavioral engagement detection of students., , , , , and . MIE@ICMI, page 26-32. ACM, (2017)Semi-supervised model personalization for improved detection of learner's emotional engagement., , , , , , , and . ICMI, page 100-107. ACM, (2016)Shaping the future of education with empathic companions.. ERM4CT@ICMI, page 1:1-1:2. ACM, (2016)Registration of three-dimensional face scans with average face models., , and . J. Electronic Imaging, 17 (1): 011006 (2008)