Learner engagement correlates with important educational outcomes, including academic
achievement and satisfaction. Although research is already exploring learner engagement …

This survey describes recent progress in the field of Affective Computing (AC), with a focus
on affect detection. Although many AC researchers have traditionally attempted to remain …

We study the incidence (rate of occurrence), persistence (rate of reoccurrence immediately
after occurrence), and impact (effect on behavior) of students' cognitive–affective states …

The last decade has witnessed considerable interest in the investigation of the affective
dimensions of learning and in the development of advanced learning technologies that …

We developed and evaluated a multimodal affect detector that combines conversational
cues, gross body language, and facial features. The multimodal affect detector uses feature …

Mitigating the situational factors that give rise to state boredom is a consistent challenge
facing educators. Despite the growing amount of literature devoted to the construct, the field …

Emotions are important part of non-routine problem solving. A positive disposition to
mathematics has a reciprocal relationship with achievement, both enhancing the other over …

This chapter describes a fully automated affect-sensitive Intelligent Tutoring System (ITS)
called the Affective AutoTutor. AutoTutor is an ITS that helps students learn topics in …

Affect dynamics in digital learning systems (DLS) research investigates how students'
emotions evolve while using these systems. This information can reveal the most common …

In this study, we examined the effect of two metacognitive scaffolds on the accuracy of
confidence judgments made while diagnosing dermatopathology slides in SlideTutor. Thirty …