Social network analysis (SNA) is a promising research method for analyzing relational ties in
computer-supported collaborative learning (CSCL)—activities in which learners interact …

Abstract Generative Artificial Intelligence (AI) tools, such as ChatGPT, have received great
attention from researchers, the media, and the public. They are gladly and frequently used …

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

The use of data from computer-based learning environments has been a long-standing
feature of CSCL. Learning Analytics (LA) can enrich this established work in CSCL. This …

The science of social network analysis has co-evolved with the development of online
environments and computer-mediated communication. Unique and precise data available …

Roles are one of the most important concepts in understanding human sociocognitive
behavior. During group interactions, members take on different roles within the discussion …

Collaborative problem-solving (CPS) has become an essential component of today's
knowledge-based, innovation-centred economy and society. As such, communication 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 …

Within the (Computer-Supported) Collaborative Learning (CS) CL research community,
there has been an extensive dialogue on theories and perspectives on learning from …

Social practices are assumed to play an important role in the evolution of new teaching and
learning methods. Teachers internalize knowledge developed in their communities through …