Development of a Model that Detects Student's Disengagement during an Online Lecture Presentation through Eye Tracking and/or Head Movement-Reference-Cited by-同舟云学术

Development of a Model that Detects Student's Disengagement during an Online Lecture Presentation through Eye Tracking and/or Head Movement

Published:2019 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 2019 International Conference on Information Technology and Computer Communications - ITCC 2019
language:
Short-container-title:

Author:

Basinillo Andrea Ranaika¹,Oracion Byron Matthew¹,Magno Raphael¹,Vea Larry¹

Affiliation:

1. School of IT, Mapua University, Makati City, Philippines

Publisher

ACM Press

Reference20 articles.

1. Dyer, K. 2015. Research proof points -- better student engagement improves student learning. https://www.nwea.org/blog/2015/research-proof-points-better-student-engagement-improves-student-learning/. Accessed: January 15, 2018.

2. Klem, A. and Connell, J. 2004. Relationships Matter: Linking Teacher Support to Student Engagement and Achievement. Journal of School Health 74, 7 (2004), 262--273. DOI= http://dx.doi.org/10.1111/j.17461561.2004.tb08283.x

3. Finn, J. and Zimmer, K. 2013. Student Engagement: What is it? Why does it matter? In Sandra L. Christenson, ed. Handbook of research on student engagement. New York: Springer, 97--99.

4. Lamborn, S., Newmann, F. and Wehlage, G., 1992. The significance and sources of student engagement. Student engagement and achievement in American secondary schools, 11--39.

5. Hannafin, M.J. and Hooper, S.R., 1993. Learning principles. Instructional message design: Principles from the behavioral and cognitive sciences, 2, 191--227.

Cited by 4 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Research on Hidden Mind-Wandering Detection Algorithm for Online Classroom Based on Temporal Analysis of Eye Gaze Direction;Lecture Notes in Computer Science;2024

2. Monitoring Engagement in Online Classes Through WiFi CSI;2023 15th International Conference on COMmunication Systems & NETworkS (COMSNETS);2023-01-03

3. Determining Student's Engagement in Synchronous Online Classes Using Deep Learning (Compute Vision) and Machine Learning;2022 5th International Conference on Machine Learning and Machine Intelligence;2022-09-23

4. Recognizing Students' Attention in a Virtual Class through Facial Expressions using Machine Vision;2022 IEEE Region 10 Symposium (TENSYMP);2022-07-01