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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

Human visual attention is susceptible to social influences. In education, peer effects impact student learning, but their precise role in modulating attention remains unclear. Our experiment (N=311) demonstrates that displaying peer visual…

Human-Computer Interaction · Computer Science 2023-12-06 Songlin Xu , Dongyin Hu , Ru Wang , Xinyu Zhang

Successful learning depends on learners' ability to sustain attention, which is particularly challenging in online education due to limited teacher interaction. A potential indicator for attention is gaze synchrony, demonstrating predictive…

Human-Computer Interaction · Computer Science 2024-04-02 Babette Bühler , Efe Bozkir , Hannah Deininger , Peter Gerjets , Ulrich Trautwein , Enkelejda Kasneci

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

Distance teaching has become popular these years because of the COVID-19 epidemic. However, both students and teachers face several challenges in distance teaching, like being easy to distract. We proposed Focus+, a system designed to…

Human-Computer Interaction · Computer Science 2022-10-11 Eason Chen , Yuen Hsien Tseng , Kuo-Ping Lo

The prevalence of online learning poses a vital challenge in real-time monitoring of students' concentration. Traditional methods such as questionnaire assessments require manual intervention, and webcam-based monitoring fails to provide…

Human-Computer Interaction · Computer Science 2025-10-29 Asif Islam , Farhan Ishtiaque , Md. Muhyminul Haque , Farhana Sarker , Ravi Vaidyanathan , Khondaker A. Mamun

Visual highlighting can guide user attention in complex interfaces. However, its effectiveness under limited attentional capacities is underexplored. This paper examines the joint impact of visual highlighting (permanent and dynamic) and…

Human-Computer Interaction · Computer Science 2024-05-03 Anwesha Das , Zekun Wu , Iza Škrjanec , Anna Maria Feit

Mastery learning, the notion that students learn best if they move on from studying a topic only after having demonstrated mastery, sits at the foundation of the theory of intelligent tutoring. This paper is an exploration of how mastery…

Applications · Statistics 2018-02-26 Anita Israni , Adam C Sales , John F Pane

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

Monitoring students' engagement and understanding their learning pace in a virtual classroom becomes challenging in the absence of direct eye contact between the students and the instructor. Continuous monitoring of eye gaze and gaze…

Human-Computer Interaction · Computer Science 2022-04-19 Snigdha Das , Sandip Chakraborty , Bivas Mitra

Since the COVID-19 pandemic, online lectures have spread rapidly and many students are satisfied with them. However, one challenge remains the loss of concentration due to the lack of students' copresence. Our previous work suggests that…

Human-Computer Interaction · Computer Science 2026-02-05 Saizo Aoyagi , Ryoma Okazaki , Seishiro Hara , Fumiya Ikeda , Michiya Yamamoto

Technology has changed both our way of life and the way in which we learn. Students now attend lectures with laptops and mobile phones, and this situation is accentuated in the case of students on Computer Science degrees, since they…

In this article, we explore computer vision approaches to detect abnormal head pose during e-learning sessions and we introduce a study on the effects of mobile phone usage during these sessions. We utilize behavioral data collected from…

Computer Vision and Pattern Recognition · Computer Science 2024-09-04 Álvaro Becerra , Javier Irigoyen , Roberto Daza , Ruth Cobos , Aythami Morales , Julian Fierrez , Mutlu Cukurova

This is a report on a qualitative study of students' learning where a physics computer simulation session is used to supplement lectures on the topic. Drawing on phenomenography as the analytical framework, the students' learning-focuses…

Physics Education · Physics 2007-05-23 Ake Ingerman , Cedric Linder , Delia Marshall

As AI tools become increasingly embedded in cognitively demanding tasks such as note-taking, questions remain about whether they enhance or undermine cognitive engagement. This paper examines the "AI Assistance Dilemma" in note-taking,…

Human-Computer Interaction · Computer Science 2025-09-04 Xinyue Chen , Kunlin Ruan , Kexin Phyllis Ju , Nathan Yap , Xu Wang

The ability for a teacher to engage all students in active learning processes in classroom constitutes a crucial prerequisite for enhancing students achievement. Teachers' attentional processes provide important insights into teachers'…

Computer Vision and Pattern Recognition · Computer Science 2018-05-24 Ömer Sümer , Patricia Goldberg , Kathleen Stürmer , Tina Seidel , Peter Gerjets , Ulrich Trautwein , Enkelejda Kasneci

Transfer of learning is an important objective of education. However, students usually have difficulties in solving physics transfer tasks even after having solved similar problems previously. We investigated if instruction provided using…

Physics Education · Physics 2017-01-18 Tianlong Zu , Elise Agra , John Hutson , Lester C. Loschky , N. Sanjay Rebello

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

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

This study used eye-tracking to capture the students' visual attention while taking the test of understanding graphs in kinematics (TUG-K). A total of N = 115 upper-secondary-level students from Germany and Switzerland took the 26-item…

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