This study presents the outcomes of a semi‐systematic literature review on the role of
learning theory in multimodal learning analytics (MMLA) research. Based on previous …

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 …

Multimodality in learning analytics and learning science is under the spotlight. The
landscape of sensors and wearable trackers that can be used for learning support is …

Wearable devices that detect real-time and fine-grained physiological signals offer
potentials for understanding the intricate mechanisms of emotions in education. However …

Research on computer-supported collaborative learning (CSCL) has traditionally
investigated how student-, group-, task-, and technological characteristics affect the …

Background Problem‐solving is a multidimensional and dynamic process that requires and
interlinks cognitive, metacognitive, and affective dimensions of learning. However, current …

There is a growing interest in the research and use of multimodal data in learning analytics.
This paper presents a systematic literature review of multimodal learning analytics (MMLA) …

This paper introduces a theory-driven trigger regulation framework for advancing multimodal
analytical approaches to research about self-regulated learning. Events and/or situations …

In this study, we challenge the commonly held belief that virtual meeting fatigue manifests as
exhaustion (ie, active fatigue) resulting from overloading demands and instead suggest that …

Students' on‐task engagement during adaptive learning activities has a significant effect on
their performance, and at the same time, how these activities influence students' behavior is …