This comprehensive book delves into the integration of Affective Computing methodologies within intelligent learning environments.

It is meticulously divided into four parts, starting with an insightful overview of Affective Computing and Intelligent Learning Environments.

The book covers the fundamentals, essential theoretical underpinnings, and the successful fusion of these disciplines along with their practical applications.

Explore the foundational concepts of Affective Computing, Machine Learning, and Pattern Recognition as they pertain to affective states in learning environments.