The omnipresence of numerous information sources in our daily life brings up new
alternatives for emotion recognition in several domains including e-health, e-learning …

We discuss the new challenges and directions facing the use of big data and artificial
intelligence (AI) in education research, policy-making, and industry. In recent years …

Abstract Visual Emotion Analysis (VEA) aims at predicting people's emotional responses to
visual stimuli. This is a promising, yet challenging, task in affective computing, which has …

Games are powerful generators of positive emotions in children and are intrinsically
satisfying. In this context, our work evaluates the use of mobile augmented reality without …

Wearable devices that detect real-time and fine-grained physiological signals offer
potentials for understanding the intricate mechanisms of emotions in education. However …

The unprecedented global movement of school education to find technological and
intelligent solutions to keep the learning ecosystem working was not enough to recover the …

Affective computing based on electroencephalogram (EEG) has gained increasing attention
for its objectivity in measuring emotional states. While positive emotions play a crucial role in …

If an organisation is to develop in today's highly competitive environment, it cannot do so
without continuous training and development of its employees. The benefit to the individual …

Sentiment analysis (SA) is widespread across all fields and has become one of the most
active topics in education research, and there is a growing body of papers published. So far …

Affective computing is a rapidly growing multidisciplinary field that encompasses computer
science, engineering, psychology, neuroscience, and other related disciplines. Although the …