Current emotion-aware systems still strive to provide a means to effectively deal with
important issues in e-learning such as: students' lack of self-confidence, high dropout rates …

Using emotion detection technologies from biophysical signals, this study explored how
emotion evolves during learning process and how emotion feedback could be used to …

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 …

A growing body of work on intelligent tutoring systems, affective computing, and artificial
intelligence in education is exploring creative, technology-driven approaches to enhance …

Sense and analysis of user's emotions has appeared in the focus of the research agenda
during the last decade with many applications, especially in learning. The latter is informed …

This paper presents the voice emotion recognition part of the FILTWAM framework for real-
time emotion recognition in affective e-learning settings. FILTWAM (Framework for Improving …

In this work we investigate the importance of emotion awareness in e-learning
environments, with emphasis to Computer Supported Collaborative Learning (CSCL) …

To test the suitability of an automatic system for emotional management in the classroom
following the control‐value theory of achievement emotions (CVT) framework, the …

This article examines how emerging pervasive computing and affective computing
technologies might enhance the adoption of ICT in e-Learning which takes place in the …

Endowing learning systems with emotion awareness features (capture user's affective state
and provide affective feedback), seems quite promising. This paper describes a system …