The aim of this dissertation is to present the MENTOR (Modelling EmotioNal TutORing) which is an emotional learning model that uses an Affective Module in order to recognize the affective state of the student during his interaction with the educational environment and thereafter to provide him with a suitable learning strategy constructing in this way an affective learning path. MENTOR constitu...

Emotional intelligence is the ability to control and manage emotions. Bashfulness is an emotional characteristic that could lead to social isolation and impact children’s performance across their developmental years. Learning social skills could help shy students overcome this problem. It has been hypothesized that such skills can be taught through storytelling, and hence, improve children’s em...

Recent studies have revealed that emotional competences are relevant to the student's learning process and, more specifically, in the use of learning strategies (LSs). The aim of this study is twofold. First, we aim to analyze the relationship between perceived emotional intelligence (PEI) and LSs applying the scales TMMS-24 and Abridged ACRA to a sample of 2334 Spanish university students, whi...

E-learning is becoming the most influential and well-liked standard for learning through web based education. It is very important to categorize the online feedback of the learners emotion in e-learning system. Learning usually refers to teaching skills propagated with the help of computers to communicate knowledge in a web based classroom environment. It is very difficult to identify the learn...

The detection of emotions in textual data lets us discover more about the writer. The automatic detection of emotions is useful in a large amount of applications. Furthermore, new developments in deep learning have made it effective in more domains. This research combines the two areas and explores a deep learning method for emotional analysis. The method is benchmarked against current methods ...

Nowadays, the experimental study of emotional learning is commonly based on classical conditioning paradigms and models, which have been thoroughly investigated in the last century. Unluckily, models based on classical conditioning are unable to explain or predict important psychophysiological phenomena, such as the failure of the extinction of emotional responses in certain circumstances (for ...

In addition to information, text contains attitudinal, and more specifically, emotional content. This paper explores the text-based emotion prediction problem empirically, using supervised machine learning with the SNoW learning architecture. The goal is to classify the emotional affinity of sentences in the narrative domain of children’s fairy tales, for subsequent usage in appropriate express...