Affective state in automatic identification of learning styles

The main contribution of this work is the definition of rules for identifying learning styles by merging monitored information about behavior, performance and emotional state of students in a virtual learning environment (VLE) based on theoretical foundations from cognitive psychology and learning styles. Different theories and models of emotions, models of learning styles and types of educational technology platforms were reviewed. As a result of