Abstract

This paper examines the possibility of an objective evaluation of emotions occurring within the learning process and methods for embedding such an evaluation in advanced learning systems. The main conceptual understandings of emotion in learning and teaching are systematized, with an emphasis on the process philosophy approach. Different models of emotion are considered and the possible generalization of Whitehead’s approach to the role of emotion in education is examined. Special attention is given to significant developments in artificial intelligence in identifying the entire spectrum of emotions and their quantitative estimation as sensor-based variables in data-driven technology. This emotional identification is also explored with respect to data acquisition, processing and classification in computer-based systems for educational purposes. The correlation between emotion and performance outcome in learning is studied to inform an interdisciplinary approach which can improve the learning process. As a result, a complex system for emotion measurement and management is proposed. This can be of interest for the further development of intelligent autonomous tutors.