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Download full textHeng Zhang; Minhong Wang – Knowledge Management & E-Learning, 2024
With the fast development of artificial intelligence and emerging technologies, automatic recognition of students' facial expressions has received increased attention. Facial expressions are a kind of external manifestation of emotional states. It is important for teachers to assess students' emotional states and adjust teaching activities…
Descriptors: Artificial Intelligence, Models, Recognition (Psychology), Nonverbal Communication
Direct linkLasri, Imane; Riadsolh, Anouar; Elbelkacemi, Mourad – Education and Information Technologies, 2023
Nowadays, facial expression recognition (FER) has drawn considerable attention from the research community in various application domains due to the recent advancement of deep learning. In the education field, facial expression recognition has the potential to evaluate students' engagement in a classroom environment, especially for deaf and…
Descriptors: Emotional Response, Recognition (Psychology), Nonverbal Communication, Deafness
Med Nadjib Kouahla; Adil Boughida; Imed Chebata; Zohra Mehenaoui; Yacine Lafifi – Interactive Learning Environments, 2023
In e-learning environments, several activities are offered to learners, including learning and assessment activities. During these activities, the learner may encounter difficulties, such as blocking situations or lack of motivation. This paper presents a new approach to detect these difficulties based on the learner's emotional states and…
Descriptors: Psychological Patterns, Cognitive Processes, Electronic Learning, Emotional Response
