Student Engagement Dataset
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Margrit Betke | Ivon Arroyo | Danielle Allessio | Beverly Woolf | Sarah Adel Bargal | William Lee | Kevin Delgado | Juan Manuel Origgi | Tania Hasanpoor | Hao Yu | Margrit Betke | I. Arroyo | B. Woolf | Danielle Allessio | William Lee | Hao Yu | K. Delgado | Tania Hasanpoor
[1] A. Graesser,et al. Confusion can be beneficial for learning. , 2014 .
[2] A. Graesser. Deeper Learning With Advances in Discourse Science and Technology , 2015 .
[3] Salma Kammoun Jarraya,et al. Student behavior analysis to measure engagement levels in online learning environments , 2021, Signal Image Video Process..
[4] Student Engagement Detection Using Emotion Analysis, Eye Tracking and Head Movement with Machine Learning , 2019, ArXiv.
[5] M. Ali Akber Dewan,et al. Engagement detection in online learning: a review , 2019, Smart Learning Environments.
[6] Deborah Rivas‐Drake,et al. Transformative Social and Emotional Learning (SEL): Toward SEL in Service of Educational Equity and Excellence , 2019, Educational Psychologist.
[7] Kasia Muldner,et al. The Impact of Animated Pedagogical Agents on Girls' and Boys' Emotions, Attitudes, Behaviors and Learning , 2011, 2011 IEEE 11th International Conference on Advanced Learning Technologies.
[8] Bo Chen,et al. MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications , 2017, ArXiv.
[9] Arthur C. Graesser,et al. Better to be frustrated than bored: The incidence, persistence, and impact of learners' cognitive-affective states during interactions with three different computer-based learning environments , 2010, Int. J. Hum. Comput. Stud..
[10] Abhinav Dhall,et al. Prediction and Localization of Student Engagement in the Wild , 2018, 2018 Digital Image Computing: Techniques and Applications (DICTA).
[11] Gengming Zhu,et al. Joint Face Detection and Facial Expression Recognition with MTCNN , 2017, 2017 4th International Conference on Information Science and Control Engineering (ICISCE).
[12] Andrew Zisserman,et al. Very Deep Convolutional Networks for Large-Scale Image Recognition , 2014, ICLR.
[13] François Chollet,et al. Xception: Deep Learning with Depthwise Separable Convolutions , 2016, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[14] Guoying Zhao,et al. Aff-Wild: Valence and Arousal ‘In-the-Wild’ Challenge , 2017, 2017 IEEE Conference on Computer Vision and Pattern Recognition Workshops (CVPRW).
[15] Yung-Yu Chuang,et al. FSA-Net: Learning Fine-Grained Structure Aggregation for Head Pose Estimation From a Single Image , 2019, 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
[16] Beverly Park Woolf,et al. Ella Me Ayudó (She Helped Me): Supporting Hispanic and English Language Learners in a Math ITS , 2018, AIED.
[17] Kasia Muldner,et al. Gender Differences in the Use and Benefit of Advanced Learning Technologies for Mathematics. , 2013 .
[18] Abhay Gupta,et al. DAiSEE: Towards User Engagement Recognition in the Wild. , 2016, 1609.01885.
[19] Guoying Zhao,et al. Deep Affect Prediction in-the-Wild: Aff-Wild Database and Challenge, Deep Architectures, and Beyond , 2018, International Journal of Computer Vision.
[20] Kasia Muldner,et al. A Multimedia Adaptive Tutoring System for Mathematics that Addresses Cognition, Metacognition and Affect , 2014, International Journal of Artificial Intelligence in Education.
[21] Wei Liu,et al. SSD: Single Shot MultiBox Detector , 2015, ECCV.
[22] Li Fei-Fei,et al. ImageNet: A large-scale hierarchical image database , 2009, CVPR.
[23] Christoph Lofi,et al. Webcam-based Attention Tracking in Online Learning: A Feasibility Study , 2018, IUI.
[24] S. D’Mello. Gaze-Based Attention-Aware Cyberlearning Technologies , 2018, Mind, Brain and Technology.
[25] Ali Abedi,et al. Improving state-of-the-art in Detecting Student Engagement with Resnet and TCN Hybrid Network , 2021, 2021 18th Conference on Robots and Vision (CRV).
[26] Sanya Liu,et al. Fine-grained Engagement Recognition in Online Learning Environment , 2019, 2019 IEEE 9th International Conference on Electronics Information and Emergency Communication (ICEIEC).
[27] Dinesh Babu Jayagopi,et al. Predicting student engagement in classrooms using facial behavioral cues , 2017, MIE@ICMI.
[28] Daniel McDuff,et al. Affectiva-MIT Facial Expression Dataset (AM-FED): Naturalistic and Spontaneous Facial Expressions Collected "In-the-Wild" , 2013, 2013 IEEE Conference on Computer Vision and Pattern Recognition Workshops.
[29] L. S. Vygotskiĭ,et al. Mind in society : the development of higher psychological processes , 1978 .
[30] Christoph Lofi,et al. IntelliEye: Enhancing MOOC Learners' Video Watching Experience through Real-Time Attention Tracking , 2018, HT.
[31] Xiangyu Zhu,et al. Face Alignment in Full Pose Range: A 3D Total Solution , 2015, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[32] Guoying Zhao,et al. Recognition of Affect in the Wild Using Deep Neural Networks , 2017, 2017 IEEE Conference on Computer Vision and Pattern Recognition Workshops (CVPRW).
[33] Angela Stewart,et al. Gaze-based Detection of Mind Wandering during Lecture Viewing , 2017, EDM.
[34] W. Kintsch,et al. Are Good Texts Always Better? Interactions of Text Coherence, Background Knowledge, and Levels of Understanding in Learning From Text , 1996 .