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Related papers: A General Model for Detecting Learner Engagement: …

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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

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

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

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

In education and intervention programs, user engagement has been identified as a major factor in successful program completion. Automatic measurement of user engagement provides helpful information for instructors to meet program objectives…

Computer Vision and Pattern Recognition · Computer Science 2022-11-08 Ali Abedi , Shehroz Khan

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

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

Engagement is an essential indicator of the Quality-of-Learning Experience (QoLE) and plays a major role in developing intelligent educational interfaces. The number of people learning through Massively Open Online Courses (MOOCs) and other…

Computer Vision and Pattern Recognition · Computer Science 2022-04-14 Sarthak Batra , Hewei Wang , Avishek Nag , Philippe Brodeur , Marianne Checkley , Annette Klinkert , Soumyabrata Dev

Student engagement plays a crucial role in the successful delivery of educational programs. Automated engagement measurement helps instructors monitor student participation, identify disengagement, and adapt their teaching strategies to…

Computer Vision and Pattern Recognition · Computer Science 2025-05-28 Sadaf Safa , Ali Abedi , Shehroz S. Khan

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

The explosion of Open Educational Resources (OERs) in the recent years creates the demand for scalable, automatic approaches to process and evaluate OERs, with the end goal of identifying and recommending the most suitable educational…

Computers and Society · Computer Science 2020-06-11 Sahan Bulathwela , María Pérez-Ortiz , Aldo Lipani , Emine Yilmaz , John Shawe-Taylor

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. Varying levels of engagement exhibited by students in an…

Computer Vision and Pattern Recognition · Computer Science 2021-10-19 Ali Abedi , Shehroz S. Khan

With the advancement and utility of Artificial Intelligence (AI), personalising education to a global population could be a cornerstone of new educational systems in the future. This work presents the PEEKC dataset and the TrueLearn Python…

Computers and Society · Computer Science 2024-01-12 Yuxiang Qiu , Karim Djemili , Denis Elezi , Aaneel Shalman , María Pérez-Ortiz , Emine Yilmaz , John Shawe-Taylor , Sahan Bulathwela

Understanding student behavior in the classroom is essential to improve both pedagogical quality and student engagement. Existing methods for predicting student engagement typically require substantial annotated data to model the diversity…

Computer Vision and Pattern Recognition · Computer Science 2026-05-01 Ahmed Abdelkawy , Ahmed Elsayed , Asem Ali , Aly Farag , Thomas Tretter , Michael McIntyre

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

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

With the rise of online and virtual learning, monitoring and enhancing student engagement have become an important aspect of effective education. Traditional methods of assessing a student's involvement might not be applicable directly to…

Machine Learning · Computer Science 2025-10-28 James Thiering , Tarun Sethupat Radha Krishna , Dylan Zelkin , Ashis Kumer Biswas

In this paper, we propose a novel technique for measuring behavioral engagement through students' actions recognition. The proposed approach recognizes student actions then predicts the student behavioral engagement level. For student…

Computer Vision and Pattern Recognition · Computer Science 2025-05-16 Ahmed Abdelkawy , Aly Farag , Islam Alkabbany , Asem Ali , Chris Foreman , Thomas Tretter , Nicholas Hindy

To investigate the detection of students' behavioral engagement (On-Task vs. Off-Task), we propose a two-phase approach in this study. In Phase 1, contextual logs (URLs) are utilized to assess active usage of the content platform. If there…

Computers and Society · Computer Science 2019-01-21 Eda Okur , Nese Alyuz , Sinem Aslan , Utku Genc , Cagri Tanriover , Asli Arslan Esme
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