Engagement detection in online learning: a review

M Dewan, M Murshed, F Lin - Smart Learning Environments, 2019 - Springer
Online learners participate in various educational activities including reading, writing,
watching video tutorials, online exams, and online meetings. During the participation in …

Automatic engagement estimation in smart education/learning settings: a systematic review of engagement definitions, datasets, and methods

SN Karimah, S Hasegawa - Smart Learning Environments, 2022 - Springer
Background Recognizing learners' engagement during learning processes is important for
providing personalized pedagogical support and preventing dropouts. As learning …

The faces of engagement: Automatic recognition of student engagementfrom facial expressions

J Whitehill, Z Serpell, YC Lin, A Foster… - IEEE Transactions on …, 2014 - ieeexplore.ieee.org
Student engagement is a key concept in contemporary education, where it is valued as a
goal in its own right. In this paper we explore approaches for automatic recognition of …

Automated detection of engagement using video-based estimation of facial expressions and heart rate

H Monkaresi, N Bosch, RA Calvo… - IEEE Transactions on …, 2016 - ieeexplore.ieee.org
We explored how computer vision techniques can be used to detect engagement while
students (N= 22) completed a structured writing activity (draft-feedback-review) similar to …

Prediction and localization of student engagement in the wild

A Kaur, A Mustafa, L Mehta… - 2018 Digital Image …, 2018 - ieeexplore.ieee.org
Digital revolution has transformed the traditional teaching procedures, students are going
online to access study materials. It is realised that analysis of student engagement in an e …

Deep recurrent multi-instance learning with spatio-temporal features for engagement intensity prediction

J Yang, K Wang, X Peng, Y Qiao - Proceedings of the 20th ACM …, 2018 - dl.acm.org
This paper elaborates the winner approach for engagement intensity prediction in the
EmotiW Challenge 2018. The task is to predict the engagement level of a subject when he or …

What if social robots look for productive engagement? Automated assessment of goal-centric engagement in learning applications

J Nasir, B Bruno, M Chetouani… - International Journal of …, 2022 - Springer
In educational HRI, it is generally believed that a robots behavior has a direct effect on the
engagement of a user with the robot, the task at hand and also their partner in case of a …

A deep learning approach to detecting engagement of online learners

MAA Dewan, F Lin, D Wen… - 2018 IEEE SmartWorld …, 2018 - ieeexplore.ieee.org
Online learning environments enable learning for the online learners. The motivational
factors, like engagement, play an important role in effective learning. However, the learning …

Continuous performance feedback: investigating the effects of feedback content and feedback sources on performance, motivation to improve performance and task …

D Giamos, O Doucet, PM Léger - Journal of Organizational …, 2024 - Taylor & Francis
Organizations are increasingly replacing performance ratings with continuous feedback
systems. The current study assesses how people react to continuous performance feedback …

Factorized variational autoencoders for modeling audience reactions to movies

Z Deng, R Navarathna, P Carr… - Proceedings of the …, 2017 - openaccess.thecvf.com
Matrix and tensor factorization methods are often used for finding underlying low-
dimensional patterns from noisy data. In this paper, we study non-linear tensor factoriza-tion …