Affective issues in adaptive educational environments
Research in computer science recently began to take emotions into account because their influence in perception, reasoning, decision-making and learning is considered catalytic. In learning the appropriate sentimental background constitutes a significant requirement in order to be effective. However, many designers of adaptive learning systems develop their systems without taking into consideration the emotional factors that are related to the mood and the personality of the student. This omission deprives the learning process from a very important pedagogical dimension. In this chapter, the focus is on affective factors that are involved in the learning process and can be considered in designing adaptive learning environments. We present first the basic theories and models for affective computer. We deal with methods of affective elicitation and representation of affective knowledge. We then present affective educational applications. Finally, we discuss issues and future trends of affective computing in relation to the learning.