Deep facial spatiotemporal network for engagement prediction in online learning

J Liao, Y Liang, J Pan - Applied Intelligence, 2021 - Springer
Recently, online learning has been gradually accepted and approbated by the public. In this
context, an effective prediction of students' engagement can help teachers obtain timely …

Three-dimensional DenseNet self-attention neural network for automatic detection of student's engagement

NK Mehta, SS Prasad, S Saurav, R Saini, S Singh - Applied Intelligence, 2022 - Springer
Today, due to the widespread outbreak of the deadly coronavirus, popularly known as
COVID-19, the traditional classroom education has been shifted to computer-based …

Multimodal graph learning based on 3D Haar semi-tight framelet for student engagement prediction

M Li, X Zhuang, L Bai, W Ding - Information Fusion, 2024 - Elsevier
With the increasing availability of multimodal educational data, there is a growing need to
effectively integrate and exploit multiple data sources to enhance student engagement …

Improving state-of-the-art in detecting student engagement with resnet and tcn hybrid network

A Abedi, SS Khan - 2021 18th Conference on Robots and …, 2021 - ieeexplore.ieee.org
Automatic detection of students' engagement in online learning settings is a key element to
improve the quality of learning and to deliver personalized learning materials to them …

Students engagement level detection in online e-learning using hybrid efficientnetb7 together with tcn, lstm, and bi-lstm

T Selim, I Elkabani, MA Abdou - IEEE Access, 2022 - ieeexplore.ieee.org
Students engagement level detection in online e-learning has become a crucial problem
due to the rapid advance of digitalization in education. In this paper, a novel Videos …

[HTML][HTML] Automatic prediction of presentation style and student engagement from videos

C Thomas, KAVP Sarma, SS Gajula… - Computers and Education …, 2022 - Elsevier
Presentation style is an important dimension to be considered for delivering lectures or
presentations. It affects the quality of the content delivery as well as the engagement of the …

Affect-driven ordinal engagement measurement from video

A Abedi, SS Khan - Multimedia Tools and Applications, 2024 - Springer
User engagement is crucial for the successful completion of education and intervention
programs. Automatic measurement of user engagement can provide valuable insights for …

Automatic student engagement measurement using machine learning techniques: A literature study of data and methods

S Mandia, R Mitharwal, K Singh - Multimedia Tools and Applications, 2024 - Springer
Student engagement is positively related to learning outcomes. The student engagement
measurement is studied in varied settings, from the traditional classroom to online learning …

Deep learning based engagement recognition in highly imbalanced data

D Dresvyanskiy, W Minker, A Karpov - Speech and Computer: 23rd …, 2021 - Springer
Engagement recognition is a growing domain in paralinguistics evaluation due to its
importance in many human-computer and human-robot applications. Current requirements …

Class-attention video transformer for engagement intensity prediction

X Ai, VS Sheng, C Li, Z Cui - arXiv preprint arXiv:2208.07216, 2022 - arxiv.org
In order to deal with variant-length long videos, prior works extract multi-modal features and
fuse them to predict students' engagement intensity. In this paper, we present a new end-to …