Abstract

With the surge of data analytics and data mining techniques, automated analysis of interaction data has also advanced greatly. While multimodal data analytics are gaining terrain, little research in the field of learning sciences and CSCL has analyzed collaboration through (automatically) tracing the evolution of digital objects, often used or developed by learners individually or in collaboration, e.g., collaborative essays, research reports, prototypes, digital tools. This workshop aims to create opportunities for researchers, designers and practitioners to share their research questions and challenges, and discuss theoretical and methodological approaches to examining collaborative learning with digital objects. Workshop participants will work together on exploring and elaborating new analytical approaches and theoretical notions informing empirical research. The workshop will contribute to convening notions, frameworks and methods instrumental for empirical and methodological work and to building a forward-looking research agenda on digital tracing and analysis of collaborative learning with digital objects.