Deep neural networks for collaborative learning analytics: Evaluating team collaborations using student gaze point prediction

Z Guo, R Barmaki - Australasian Journal of Educational Technology, 2020 - ajet.org.au
Automatic assessment and evaluation of team performance during collaborative tasks is key
to the research on learning analytics and computer-supported cooperative work. There is …

Predicting student performance based on eye gaze during collaborative problem solving

M Celepkolu, KE Boyer - Proceedings of the Group Interaction Frontiers …, 2018 - dl.acm.org
Eye-gaze activity provides rich information about individuals' engagement in social
interactions. Gaze is one of the strongest visual cues in face-to-face interaction. Previous …

Gaze convergence based collaborative performance prediction in a 3-member joint activity setting

R Veerabhadrappa, IT Hettiarachchi… - 2022 IEEE International …, 2022 - ieeexplore.ieee.org
Teams engaged in desktop-based collaborative problem solving has been increasing in
recent years. Multiparty joint activities such as computer-supported collaborative working …

[PDF][PDF] MDNN: Predicting Student Engagement via Gaze Direction and Facial Expression in Collaborative Learning.

Y Chen, J Zhou, Q Gao, J Gao… - … -Computer Modeling in …, 2023 - cdn.techscience.cn
Prediction of students' engagement in a Collaborative Learning setting is essential to
improve the quality of learning. Collaborative learning is a strategy of learning through …

Recurrence quantification analysis of eye gaze dynamics during team collaboration

R Moulder, B Booth, A Abitino, S D'Mello - LAK23: 13th International …, 2023 - dl.acm.org
Shared visual attention between team members facilitates collaborative problem solving
(CPS), but little is known about how team-level eye gaze dynamics influence the quality and …

Automated Detection of Students' Gaze Interactions in Collaborative Learning Videos: A Novel Approach

Q Zhou, A Bhattacharya, W Suraworachet… - European Conference …, 2023 - Springer
Gaze behaviours have been considered important social signals to explore human learning.
Over the past decade, previous research showed positive relationships between certain …

Automated student group collaboration assessment and recommendation system using individual role and behavioral cues

A Som, S Kim, B Lopez-Prado, S Dhamija… - Frontiers in Computer …, 2021 - frontiersin.org
Early development of specific skills can help students succeed in fields like Science,
Technology, Engineering and Mathematics. Different education standards consider …

A machine learning approach to assess student group collaboration using individual level behavioral cues

A Som, S Kim, B Lopez-Prado, S Dhamija… - Computer Vision–ECCV …, 2020 - Springer
K-12 classrooms consistently integrate collaboration as part of their learning experiences.
However, owing to large classroom sizes, teachers do not have the time to properly assess …

CSCL and eye-tracking: Experiences, opportunities and challenges

K Sharma, P Jermann, P Dillenbourg, LP Prieto… - 2017 - repository.isls.org
The idea of using gaze as a medium to look into the collaborative processes had been
around in CSCL for past few years. However, it had not been widely used in the community …

What does shared understanding in students' face-to-face collaborative learning gaze behaviours “Look Like”?

Q Zhou, W Suraworachet, O Celiktutan… - … Conference on Artificial …, 2022 - Springer
Several studies have shown a positive relationship between measures of gaze behaviours
and the quality of student group collaboration over the past decade. Gaze behaviours …