The theory of socially shared regulation of learning (SSRL) suggests that successful collaborative groups can identify and respond to trigger events stemming from cognitive or emotional obstacles in learning. Thus, to develop real-time support for SSRL, novel metrics are needed to identify different types of trigger events that invite SSRL. Our…

Background: The necessity of supporting socially shared regulation of learning (SSRL) for learners is widely acknowledged as a crucial element for successful collaborative learning (CL). However, inherent challenges are presented for the observation, study, and support of SSRL. Non-verbal behaviours have been identified as a potentially rich…

Socially shared regulation in learning (SSRL) contributes to successful collaborative learning (CL). Empirical research into SSRL has received considerable attention recently, with increasingly available multimodal data, advanced learning analytics (LA), and artificial intelligence (AI) providing promising research avenues. Yet, integrating these…

Socially shared regulation of learning (SSRL) is a crucial process for groups of learners to successfully collaborate. Detecting and supporting SSRL is a challenge, especially in real time, but hybrid intelligence approaches such as Artificial Intelligence (AI) agents may make this possible. Leveraging the concept of trigger events which invite…

As advanced technologies such as Artificial Intelligence (AI) become increasingly integrated into Higher Education (HE) learning spaces, these environments adapt to changing technologies and goals of educators and learners. As such, designing learning spaces requires HE researchers to imagine future learning spaces. In this article, we present a…