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 …

Multimodal learning analytics (MMLA), which has become increasingly popular, can help
provide an accurate understanding of learning processes. However, it is still unclear how …

This study utilized multimodal learning analytics and AI-based methods to examine the
patterns of the socially shared regulation of collaborative learning (CL). The study involved …

Socially shared regulation contributes to the success of collaborative learning. However, the
assessment of socially shared regulation of learning (SSRL) faces several challenges in the …

Understanding the way learners engage with learning technologies, and its relation with
their learning, is crucial for motivating design of effective learning interventions. Assessing …

Using data to generate a deeper understanding of collaborative learning is not new, but
automatically analyzing log data has enabled new means of identifying key indicators of …

Collaborative problem solving (CPS) is a cyclical process in which team members go back
and forth between various cognitive and affective phases as they interact with the problem …

Interpersonal physiological synchrony is the spontaneous temporal coordination of
physiological processes between several individuals. This type of synchrony is critical for …

This paper reviews 74 empirical publications that used high-frequency data collection tools
to capture facets of small collaborative groups—ie, papers that conduct Multimodal …

Embodied collaborative learning, intertwining verbal and physical behaviors, is an intricate
learning process demanding a multifaceted approach for comprehensive understanding …