Engagement detection in online learning: a review
Online learners participate in various educational activities including reading, writing,
watching video tutorials, online exams, and online meetings. During the participation in …
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
Background Recognizing learners' engagement during learning processes is important for
providing personalized pedagogical support and preventing dropouts. As learning …
providing personalized pedagogical support and preventing dropouts. As learning …
Convergence of gamification and machine learning: a systematic literature review
Recent developments in human–computer interaction technologies raised the attention
towards gamification techniques, that can be defined as using game elements in a non …
towards gamification techniques, that can be defined as using game elements in a non …
Video-based engagement estimation of game streamers: An interpretable multimodal neural network approach
In this paper, we propose a non-intrusive and nonrestrictive multimodal deep learning model
for estimating the engagement levels of game streamers. We incorporate three modalities …
for estimating the engagement levels of game streamers. We incorporate three modalities …
Toward personalized adaptive gamification: a machine learning model for predicting performance
Personalized adaptive gamification has the potential to improve individuals' motivation and
performance. Current methods aim to predict the perceived affective state (ie, emotion) of an …
performance. Current methods aim to predict the perceived affective state (ie, emotion) of an …
Engagement Detection and Its Applications in Learning: A Tutorial and Selective Review
Engagement is critical to satisfaction and performance in a number of domains but is
challenging to measure and sustain. Thus, there is considerable interest in develo** …
challenging to measure and sustain. Thus, there is considerable interest in develo** …
Engagement detection in e-learning environments using convolutional neural networks
Learning institutions are responsible for ensuring effective learning environments for online
learners. An effective learning environment engages learners in educational activities. In this …
learners. An effective learning environment engages learners in educational activities. In this …
Unobtrusive behavioral analysis of students in classroom environment using non-verbal cues
Pervasive intelligent learning environments can be made more personalized by adapting
the teaching strategies according to the students' emotional and behavioral engagements …
the teaching strategies according to the students' emotional and behavioral engagements …
Impact of inquiry interventions on students in e-learning and classroom environments using affective computing framework
Effective teaching strategies improve the students' learning rate within academic learning
time. Inquiry-based instruction is one of the effective teaching strategies used in the …
time. Inquiry-based instruction is one of the effective teaching strategies used in the …
An novel end-to-end network for automatic student engagement recognition
H Zhang, X **ao, T Huang, S Liu… - 2019 IEEE 9th …, 2019 - ieeexplore.ieee.org
Automatically recognizing and improving students' engagement is conducive to improving
students' academic performance and less dropout rate. After analyzing the advantages and …
students' academic performance and less dropout rate. After analyzing the advantages and …