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Automatic measurement of student engagement provides helpful information for instructors to meet learning program objectives and individualize program delivery. Students' behavioral and emotional states need to be analyzed at fine-grained…

Human-Computer Interaction · Computer Science 2023-01-18 Ali Abedi , Chinchu Thomas , Dinesh Babu Jayagopi , Shehroz S. Khan

Engagement in virtual learning is crucial for a variety of factors including student satisfaction, performance, and compliance with learning programs, but measuring it is a challenging task. There is therefore considerable interest in…

Computer Vision and Pattern Recognition · Computer Science 2024-10-04 Ali Abedi , Shehroz S. Khan

Considering learner engagement has a mutual benefit for both learners and instructors. Instructors can help learners increase their attention, involvement, motivation, and interest. On the other hand, instructors can improve their…

Computer Vision and Pattern Recognition · Computer Science 2024-05-08 Somayeh Malekshahi , Javad M. Kheyridoost , Omid Fatemi

Engagement, which links to attentional, emotional, and cognitive dimensions, plays an important role in learning. In online and video-based learning environments, learners often need to regulate their own interactions with instructional…

Human-Computer Interaction · Computer Science 2026-05-05 Zikang Leng , Edan Eyal , Yingtian Shi , Jiaman He , Yaqi Liu , Thomas Plötz

Student engagement is an important factor in meeting the goals of virtual learning programs. Automatic measurement of student engagement provides helpful information for instructors to meet learning program objectives and individualize…

Computer Vision and Pattern Recognition · Computer Science 2023-02-07 Ali Abedi , Shehroz S. Khan

In recent times, online education and the usage of video-conferencing platforms have experienced massive growth. Due to the limited scope of a virtual classroom, it may become difficult for instructors to analyze learners' attention and…

Computer Vision and Pattern Recognition · Computer Science 2024-12-03 Sharva Gogawale , Madhura Deshpande , Parteek Kumar , Irad Ben-Gal

The COVID-19 pandemic and the internet's availability have recently boosted online learning. However, monitoring engagement in online learning is a difficult task for teachers. In this context, timely automatic student engagement…

Computer Vision and Pattern Recognition · Computer Science 2025-02-18 Sandeep Mandia , Kuldeep Singh , Rajendra Mitharwal , Faisel Mushtaq , Dimpal Janu

Portraying emotion and trustworthiness is known to increase the appeal of video content. However, the causal relationship between these signals and online user engagement is not well understood. This limited understanding is partly due to a…

Multimedia · Computer Science 2021-05-05 Lukas Stappen , Alice Baird , Michelle Lienhart , Annalena Bätz , Björn Schuller

In this paper, we introduce a new dataset for student engagement detection and localization. Digital revolution has transformed the traditional teaching procedure and a result analysis of the student engagement in an e-learning environment…

Computer Vision and Pattern Recognition · Computer Science 2018-06-28 Amanjot Kaur , Aamir Mustafa , Love Mehta , Abhinav Dhall

With the increase of distance learning, in general, and e-learning, in particular, having a system capable of determining the engagement of students is of primordial importance, and one of the biggest challenges, both for teachers,…

Computer Vision and Pattern Recognition · Computer Science 2023-03-24 Prabin Sharma , Shubham Joshi , Subash Gautam , Sneha Maharjan , Salik Ram Khanal , Manuel Cabral Reis , João Barroso , Vítor Manuel de Jesus Filipe

Student engagement is a key construct for learning and teaching. While most of the literature explored the student engagement analysis on computer-based settings, this paper extends that focus to classroom instruction. To best examine…

Computer Vision and Pattern Recognition · Computer Science 2024-10-28 Ömer Sümer , Patricia Goldberg , Sidney D'Mello , Peter Gerjets , Ulrich Trautwein , Enkelejda Kasneci

Engagement detection in online learning environments is vital for improving student outcomes and personalizing instruction. We present ViBED-Net (Video-Based Engagement Detection Network), a novel deep learning framework designed to assess…

Computer Vision and Pattern Recognition · Computer Science 2025-10-28 Prateek Gothwal , Deeptimaan Banerjee , Ashis Kumer Biswas

The increasing adoption of smart classroom technologies in higher education has mainly focused on automating attendance, with limited attention given to students' emotional and cognitive engagement during lectures. This limits instructors'…

Artificial Intelligence · Computer Science 2026-01-14 Keith Ainebyona , Ann Move Oguti , Joseph Walusimbi , Ritah Kobusingye

The share of videos in the internet traffic has been growing, therefore understanding how videos capture attention on a global scale is also of growing importance. Most current research focus on modeling the number of views, but we argue…

Social and Information Networks · Computer Science 2018-04-12 Siqi Wu , Marian-Andrei Rizoiu , Lexing Xie

This study presents high-throughput, real-time multi-agent affective computing framework designed to enhance classroom learning through emotional state monitoring. As large classroom sizes and limited teacher student interaction…

Computer Vision and Pattern Recognition · Computer Science 2026-03-18 Hai Nguyen , Hieu Dao , Hung Nguyen , Nam Vu , Cong Tran

Engagement is a key indicator of the quality of learning experience, and one that plays a major role in developing intelligent educational interfaces. Any such interface requires the ability to recognise the level of engagement in order to…

Computer Vision and Pattern Recognition · Computer Science 2019-07-09 Omid Mohamad Nezami , Mark Dras , Len Hamey , Deborah Richards , Stephen Wan , Cecile Paris

This paper addresses the problem of automatic emotion recognition in the scope of the One-Minute Gradual-Emotional Behavior challenge (OMG-Emotion challenge). The underlying objective of the challenge is the automatic estimation of emotion…

Artificial Intelligence · Computer Science 2018-05-04 Pedro M. Ferreira , Diogo Pernes , Kelwin Fernandes , Ana Rebelo , Jaime S. Cardoso

We collected a new dataset that includes approximately eight hours of audiovisual recordings of a group of students and their self-evaluation scores for classroom engagement. The dataset and data analysis scripts are available on our…

Human-Computer Interaction · Computer Science 2023-04-19 Alpay Sabuncuoglu , T. Metin Sezgin

In the virtual elements of immersive learning, the use of Google Expedition and touch-screen-based emotion are examined. The objective is to investigate possible ways to combine these technologies to enhance virtual learning environments…

Human-Computer Interaction · Computer Science 2024-02-29 Akey Sungheetha , Rajesh Sharma R , Chinnaiyan R

In response to the COVID-19 pandemic, traditional physical classrooms have transitioned to online environments, necessitating effective strategies to ensure sustained student engagement. A significant challenge in online teaching is the…

Computer Vision and Pattern Recognition · Computer Science 2023-11-20 Rekha R Nair , Tina Babu , Pavithra K
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