International Journal of Computer-Supported Collaborative Learning - Meet the Editors

Michael J. Baker

Michael J. Baker is a tenured Research Professor in Language Sciences and Learning Sciences of the French National Centre for Scientific Research (CNRS). He currently works in the Human and Social Sciences department of Télécom Paris, the French national graduate school for telecom engineering. His research aims to understand knowledge co-construction processes in dialogue, and to design technologies to support them. He has pursued this aim across varied situations, involving collaborative learning, collaborative design, group creativity and collaborative fact-checking. Michael Baker has made an important contribution to the emergence of new research themes in CSCL, notably on scripted interaction, Collaborative Argumentation-Based Learning (CABLE) and affective learning together. Since the 1990s, he directed research teams in the field of interaction and cognition in Lyon (University of Lyon; École Normale Supérieure), then in Paris (Sorbonne; University Paris Nanterre), before joining Télécom Paris in 2008. He has been a visiting professor at the universities of Stockholm and Neuchâtel.

Peter Reimann

Peter Reimann is a Professor of Education at The University of Sydney, where he has been working since 2003. He has a PhD in Psychology from the University of Freiburg, Germany. The research built on and extended research he conducted at the Learning Research and Development Centre at the University of Pittsburgh. Trained as a cognitive psychologist with a general interest in technology-augmented and technology-mediated learning, Peter has frequently applied computational modelling methods to advance learning research. One of his contributions to CSCL was introducing process-mining methods for analysing trace data. He demonstrated how process mining techniques can be used to analyse group and individual learning and how this extends the repertoire of computational analysis beyond sequence mining. Also relevant to CSCL research is his work (with Jacobson and Kapur) on the role of complexity theory for theories of human learning. Currently, he and his PhD students are conducting research employing semantic technologies such as Knowledge Graphs, to support peer tutoring and learning from argumentation. In the course of his career, Peter has directed two research centers: The Centre for Research on Computer-supported Learning & Cognition (CoCo) together with Peter Goodyear and the Centre for Research on Learning and Innovation (CRLI), with Lina Markauskaite.