Student engagement detection using emotion analysis, eye tracking and head movement with machine learning

P Sharma, S Joshi, S Gautam, S Maharjan… - … on Technology and …, 2022 - Springer
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 …

Automatic engagement recognition for distance learning systems: A literature study of engagement datasets and methods

SN Karimah, S Hasegawa - International Conference on Human …, 2021 - Springer
With the paradigm shift of learning processes from traditional classroom to distance learning
systems, the recent success of artificial intelligent research and applications, including …

Assessment of cognitive student engagement using heart rate data in distance learning during COVID-19

AC Ladino Nocua, JP Cruz Gonzalez… - Education …, 2021 - mdpi.com
Student engagement allows educational institutions to make better decisions regarding
teaching methodologies, methods for evaluating the quality of education, and ways to …

An experimental platform for real-time students engagement measurements from video in stem classrooms

I Alkabbany, AM Ali, C Foreman, T Tretter, N Hindy… - Sensors, 2023 - mdpi.com
The ability to measure students' engagement in an educational setting may facilitate timely
intervention in both the learning and the teaching process in a variety of classroom settings …

[PDF][PDF] A survey on automatic engagement recognition methods: online and traditional classroom

A Sukumaran, A Manoharan - Indonesian Journal of Electrical …, 2023 - academia.edu
Student engagement in a learning environment is directly related to students' perception and
involvement of the educational activities in the class, along with their physical and mental …

Inconsistencies in the definition and annotation of student engagement in virtual learning datasets: A critical review

SS Khan, A Abedi, T Colella - arXiv preprint arXiv:2208.04548, 2022 - arxiv.org
Background: Student engagement (SE) in virtual learning can have a major impact on
meeting learning objectives and program dropout risks. Developing Artificial Intelligence (AI) …

Spatio-Temporal Graph Analytics on Secondary Affect Data for Improving Trustworthy Emotional AI

MT Uddin, L Yin, S Canavan - IEEE Transactions on Affective …, 2023 - ieeexplore.ieee.org
Ethical affective computing (AC) requires maximizing the benefits to users while minimizing
its harm to obtain trust from users. This requires responsible development and deployment …

Predicting student engagement using sequential ensemble model

X Tian, BP Nunes, Y Liu… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Predicting student engagement can provide timely feedback and help teachers make
adjustments to their practices to meet student needs and improve their learning experience …

Evaluation of Students' Learning Engagement in Online Classes Based on Multimodal Vision Perspective

Y Qi, L Zhuang, H Chen, X Han, A Liang - Electronics, 2023 - mdpi.com
The method of evaluating student engagement in online classrooms can provide a timely
alert to learners who are distracted, effectively improving classroom learning efficiency …

Measuring Non-Typical Emotions for Mental Health: A Survey of Computational Approaches

P Kumar, A Vedernikov, X Li - arXiv preprint arXiv:2403.08824, 2024 - arxiv.org
Analysis of non-typical emotions, such as stress, depression and engagement is less
common and more complex compared to that of frequently discussed emotions like …