Artificial intelligence (AI) has brought new ways for implementing learning analytics in
computer-supported collaborative learning (CSCL). However, there is a lack of literature …

Social learning analytics (SLA) is a promising approach for identifying students' social
learning processes in computer-supported collaborative learning (CSCL) environments. To …

The proliferation of AI in many aspects of human life—from personal leisure, to collaborative
professional work, to global policy decisions—poses a sharp question about how to prepare …

Learning analytics uses large amounts of data about learner interactions in digital learning
environments to understand and enhance learning. Although measurement is a central …

Multimodal learning analytics (MMLA) offers the potential to provide evidence‐based
insights into complex learning phenomena such as collaborative learning. Yet, few MMLA …

Collaborative problem solving (CPS) enables student groups to complete learning tasks,
construct knowledge, and solve problems. Previous research has argued the importance of …

The present study unravels profiles of regulators, based on online measures of collaborative
learners' adoption of individual-oriented and socially shared metacognitive regulation …

Helping pre-service teachers (PSTs) develop competencies in collaborative inquiry and
knowledge building is crucial, but this subject remains largely unexplored in CSCL. This …

Collaborative knowledge construction has been used in higher education to support student
groups' collaborative learning activities through students' exchange, negotiation, and …

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 …