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Early-bird registration CSCL 2019

Registration for the International Conference on Computer Supported Collaborative Learning (CSCL) is open.


Registration is now open for the 13th International Conference of Computer Supported Collaborative Learning, hosted by the ENS Lyon (UMR ICAR and UMS LLE) iver five days beginning the 17th of June 2019. The scientific program is highlighted by three pleniary lectures, over 100 long and short oral communications and 14 thematic symposia and special sessions. Further information is available at Early registration is available with reduced fees until the 22nd of April.

If you are interested in volunteering at CSCL 2019, please contact

A wide lens: Combining Embodied, Enactive, Extended, and Embedded Learning in Collaborative Settings.

Promoting productive collaborative interaction in varied contexts requires studying the interdependencies of the complex ecosystems in which collaborative learning takes place (e.g. school, museums, work, play). In Cognitive Science, research under the banner of 4E cognition favors newer paradigms that take into account the role of the body (embodied), the interactions between an organism and its environment (enactive), and the elements and aspects in the environment itself (extended and embedded). At this year’s CSCL, we propose 4E learning as our theme. Submissions that present results on collaborative learning regarding some combination of embodied, enactive, extended, and embedded learning are welcome. Such a focus translates to studies of various interdependencies in the learning process: social, emotional, cultural, linguistic, cognitive, and technological. Finally, treating 4E learning as inherently collaborative means that as a CSCL community, we need to understand this phenomenon in settings both with and without technology. It is important that as CSCL researchers, we build on work that while not computer-supported has implications for design and research in computer-supported collaborative learning settings. In considering collaborative learning as the interplay of factors in a complex system, we aim to create novel interdisciplinary integrations and thereby extend and reinforce the CSCL Learning Sciences community with new ideas.


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