English
Related papers

Related papers: Learner Attentiveness and Engagement Analysis in O…

200 papers

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

Student disengagement in online learning has become a critical challenge, particularly post-pandemic. This review explores deep learning techniques used to detect disengagement, emphasizing computer vision and affective computing as…

Human-Computer Interaction · Computer Science 2024-11-19 Ahmed Mohamed , Mostafa Ali , Shahd Ahmed , Nouran Hani , Mohammed Hisham , Meram Mahmoud

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

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

The prevailing educational methods predominantly rely on traditional classroom instruction or online delivery, often limiting the teachers' ability to engage effectively with all the students simultaneously. A more intrinsic method of…

Machine Learning · Computer Science 2024-12-30 Swati Chowdhuri , Satadip Saha , Samadrita Karmakar , Ankur Chanda

Student attention is an indispensable input for uncovering their goals, intentions, and interests, which prove to be invaluable for a multitude of research areas, ranging from psychology to interactive systems. However, most existing…

Human-Computer Interaction · Computer Science 2023-11-07 Dhruv Verma , Sejal Bhalla , S. V. Sai Santosh , Saumya Yadav , Aman Parnami , Jainendra Shukla

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

Over the last decade, e-learning has revolutionized how students learn by providing them access to quality education whenever and wherever they want. However, students often get distracted because of various reasons, which affect the…

Computer Vision and Pattern Recognition · Computer Science 2021-11-30 Rahul RK , Shanthakumar S , Vykunth P , Sairamnath K

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

Online remote learning has certain advantages, such as higher flexibility and greater inclusiveness. However, a caveat is the teachers' limited ability to monitor student interaction during an online class, especially while teachers are…

Human-Computer Interaction · Computer Science 2022-10-17 Arnab Sen Sharma , Mohammad Ruhul Amin , Muztaba Fuad

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

To perform contingent teaching and be responsive to students' needs during class, lecturers must be able to quickly assess the state of their audience. While effective teachers are able to gauge easily the affective state of the students,…

Computer Vision and Pattern Recognition · Computer Science 2021-05-31 Richard Klein , Turgay Celik

Immersive learning environments such as virtual classrooms in Virtual Reality (VR) offer learners unique learning experiences, yet providing effective learner support remains a challenge. While prior HCI research has explored in-lecture…

Human-Computer Interaction · Computer Science 2026-03-06 Shi Liu , Martin Feick , Linus Bierhoff , Alexander Maedche

Attention is a key factor for successful learning, with research indicating strong associations between (in)attention and learning outcomes. This dissertation advanced the field by focusing on the automated detection of attention-related…

Human-Computer Interaction · Computer Science 2024-07-09 Babette Bühler

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 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

Students often drift in and out of focus during class. Effective teachers recognize this and re-engage them when necessary. With the shift to remote learning, teachers have lost the visual feedback needed to adapt to varying student…

Computer Vision and Pattern Recognition · Computer Science 2024-09-26 Aimar Silvan Ortubay , Lucas C. Parra , Jens Madsen

Compared with traditional face-to-face teaching, online learning is more convenient. However, during online classes, it is more difficult for teachers to observe all student reactions at the same time. Our system is designed to help…

Computers and Society · Computer Science 2021-12-20 Yanyi Peng , Masato Kikuchi , Tadachika Ozono

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

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
‹ Prev 1 2 3 10 Next ›