Application of Deep Learning on Student Engagement in e-learning environments

• Published in: Computers & electrical engineering Vol. 93; p. 107277
• Main Authors: Bhardwaj, Prakhar, Gupta, P.K., Panwar, Harsh, Siddiqui, Mohammad Khubeb, Morales-Menendez, Ruben, Bhaik, Anubha
• Format: Journal Article
• Language: English
• Published: United States Elsevier Ltd 01.07.2021; Elsevier BV
• Subjects: Algorithms; Coronaviruses; COVID-19; Deep learning; Digital learning; Distance learning; Emotion recognition; Engage Detection; Engagement detection; Machine learning; Online instruction; Pandemics; Students; Teaching methods; Deep learning; COVID-19; Engage Detection; Emotion recognition; Digital learning; Engagement detection

The drastic impact of COVID-19 pandemic is visible in all aspects of our lives including education. With a distinctive rise in e-learning, teaching methods are being undertaken remotely on digital platforms due to COVID-19. To reduce the effect of this pandemic on the education sector, most of the e...