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 …

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 …

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 …

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 …

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 …

Emotion recognition still poses a challenge lying at the core of the rapidly growing area of
affective computing and is crucial for establishing a successful human–computer interaction …

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 …

Emotions play an important role in the learning process. With intelligent technology support,
identification and intervention of learners' cognition have made great achievement, but the …

Despite the recent advancement in speech emotion recognition (SER) within a single corpus
setting, the performance of these SER systems degrades significantly for cross-corpus and …