Knowledge tracing: A survey

G Abdelrahman, Q Wang, B Nunes - ACM Computing Surveys, 2023 - dl.acm.org
Humans' ability to transfer knowledge through teaching is one of the essential aspects for
human intelligence. A human teacher can track the knowledge of students to customize the …

Wearables for engagement detection in learning environments: A review

M Bustos-Lopez, N Cruz-Ramirez… - Biosensors, 2022 - mdpi.com
Appropriate teaching–learning strategies lead to student engagement during learning
activities. Scientific progress and modern technology have made it possible to measure …

Facial emotion recognition based real-time learner engagement detection system in online learning context using deep learning models

S Gupta, P Kumar, RK Tekchandani - Multimedia Tools and Applications, 2023 - Springer
The dramatic impact of the COVID-19 pandemic has resulted in the closure of physical
classrooms and teaching methods being shifted to the online medium. To make the online …

An intelligent system for monitoring students' engagement in large classroom teaching through facial expression recognition

C Pabba, P Kumar - Expert Systems, 2022 - Wiley Online Library
Students' disengagement problem has become critical in the modern scenario due to
various distractions and lack of student‐teacher interactions. This problem is exacerbated …

Optimal experience in adult learning: conception and validation of the flow in education scale (EduFlow-2)

J Heutte, F Fenouillet, C Martin-Krumm, G Gute… - Frontiers in …, 2021 - frontiersin.org
While the formulation of Mihaly Csikszentmihalyi's theory of flow, including the experience
dimensions, has remained stable since its introduction in 1975, its dedicated measurement …

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 …

A data-driven approach to quantify and measure students' engagement in synchronous virtual learning environments

X Solé-Beteta, J Navarro, B Gajšek, A Guadagni… - Sensors, 2022 - mdpi.com
In face-to-face learning environments, instructors (sub) consciously measure student
engagement to obtain immediate feedback regarding the training they are leading. This …

Engagement detection and enhancement for STEM education through computer vision, augmented reality, and haptics

HA Poonja, MA Shirazi, MJ Khan, K Javed - Image and Vision Computing, 2023 - Elsevier
Abstract STEM (Science, technology, engineering, and mathematics) based education is
being revolutionized with the rapid development of the applications of intelligent Haptics …

Detecting elderly behaviors based on deep learning for healthcare: Recent advances, methods, real-world applications and challenges

M Almutairi, LA Gabralla, S Abubakar… - IEEE Access, 2022 - ieeexplore.ieee.org
Machine learning has been applied in healthcare domain for the development of smart
devices to improve the life of the elderly persons in the society. Taking care of elderly person …

Posture-based infant action recognition in the wild with very limited data

X Huang, L Luan… - Proceedings of the …, 2023 - openaccess.thecvf.com
Automatic detection of infant actions from home videos could aid medical and behavioral
specialists in the early detection of motor impairments in infancy. However, most computer …