Self-regulated learning (SRL) is critical for learning across tasks, domains, and contexts.
Despite its importance, research shows that not all learners are equally skilled at accurately …

With the rapid growth of technology, computer learning has become increasingly integrated
with artificial intelligence techniques in order to develop more personalized educational …

We present a three-dimensional taxonomy of achievement emotions that considers valence,
arousal, and object focus as core features of these emotions. By distinguishing between …

This study uses a multimodal data analysis approach to provide a more continuous and
objective insight into how students' engagement unfolds and impacts learning …

Analyzing multimodal multichannel data about self-regulated learning (SRL) obtained
during the use of advanced learning technologies such as intelligent tutoring systems …

Achievement emotions are critical because of their impact on success and failure in
important domains such as learning. These emotions may be modified via emotion …

There is a strong increase in the use of devices that measure physiological arousal through
electrodermal activity (EDA). Although there is a long tradition of studying emotions during …

It is becoming a trend to apply an emotional lens and to position emotions as central to
educational interactions. Recently, affective computing has been one of the most actively …

Technological advancements have improved the capabilities of pedagogical agents to
communicate with students. However, an increased use of pedagogical agents in learning …

A common intuition is that instruction is most effective if it takes into account (a) that learners
are different, and (b) that they change as they learn. But learners differ in a great many ways …