The swelling use of computerized learning, accompanied by the rapid growth of information
technology has become a surge of interest in the research community. Consequently …

Students' emotions have been proven to play a fundamental role in the teaching/learning
process. As educational content can modify the emotional state, emotions are crucial …

Contribution: An AI model for speech emotion recognition (SER) in the educational domain
to analyze the correlation between students' emotions, discussed topics in teams, and …

Considering that emotions have a great impact on motivation, reasoning, and decision
making, affective computing methods, that were designed to attempt to understand and …

Learners' emotional states might change during the learning process, and unpredictable
variations of a person's emotions raise the demand for regular assessment of feelings during …

Human ideas and sentiments are mirrored in facial expressions. They give the spectator a
plethora of social cues, such as the viewer's focus of attention, intention, motivation, and …

This article analyses research in speech emotion recognition (“SER”) from 2006 to 2017 in
order to identify the current focus of research, and areas in which research is lacking. The …

Recognizing human emotions from videos requires a deep understanding of the underlying
multimodal sources, including images, audio, and text. Since the input data sources are …

Sentiment discovery and analysis (SDA) aims to automatically identify the underlying
attitudes, sentiments, and subjectivity towards a certain entity such as learners and learning …

One of the biggest concerns in the modern day especially in the educational domain centers
on the student's mental health. High rates of anxiety and depression have especially brought …