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 …
providing personalized pedagogical support and preventing dropouts. As learning …
[PDF][PDF] Deep learning for knowledge tracing in learning analytics: an overview.
Learning Analytics (LA) is a recent research branch that refers to methods for measuring,
collecting, analyzing, and reporting learners' data, in order to better understand and optimize …
collecting, analyzing, and reporting learners' data, in order to better understand and optimize …
Assessing student engagement from facial behavior in on-line learning
The automatic monitoring and assessment of the engagement level of learners in distance
education may help in understanding problems and providing personalized support during …
education may help in understanding problems and providing personalized support during …
Reducing videoconferencing fatigue through facial emotion recognition
In the last 14 months, COVID-19 made face-to-face meetings impossible and this has led to
rapid growth in videoconferencing. As highly social creatures, humans strive for direct …
rapid growth in videoconferencing. As highly social creatures, humans strive for direct …
Stress appraisal in the workplace and its associations with productivity and mood: Insights from a multimodal machine learning analysis
Previous studies have primarily focused on predicting stress arousal, encompassing
physiological, behavioral, and psychological responses to stressors, while neglecting the …
physiological, behavioral, and psychological responses to stressors, while neglecting the …
Engauge: Engagement gauge of meeting participants estimated by facial expression and deep neural network
Measuring the level of engagement among participants in a meeting is crucial for evaluating
collective understanding. While previous studies have utilized multiple sensors, such as …
collective understanding. While previous studies have utilized multiple sensors, such as …
Gaze-Driven Adaptive Learning System with ChatGPT-Generated Summaries
Enhancing student engagement and comprehension is crucial for effective learning.
However, tracking and improving these dynamic states in real-time remains a significant …
However, tracking and improving these dynamic states in real-time remains a significant …
Emotion identification from TQWT-based EEG rhythms
Electroencephalogram (EEG) signals are the recording of brain electrical activity, commonly
used for emotion recognition. Different EEG rhythms carry different neural dynamics. EEG …
used for emotion recognition. Different EEG rhythms carry different neural dynamics. EEG …
Stimming as Thinking: a Critical Reevaluation of Self-Stimulatory Behavior as an Epistemic Resource for Inclusive Education
S Tancredi, D Abrahamson - Educational Psychology Review, 2024 - Springer
Peripheral sensorimotor stimming activity, such as rocking and fidgeting, is widely
considered irrelevant to and even distracting from learning. In this critical-pedagogy …
considered irrelevant to and even distracting from learning. In this critical-pedagogy …
Evaluation of e-learners' concentration using recurrent neural networks
YS Jeong, NW Cho - The Journal of Supercomputing, 2023 - Springer
Recently, interest in e-learning has increased rapidly owing to the lockdowns imposed by
COVID-19. A major disadvantage of e-learning is the difficulty in maintaining concentration …
COVID-19. A major disadvantage of e-learning is the difficulty in maintaining concentration …