CSCL 2019

The international conference Computer Supported Collaborative Learning

Date limite de soumission: 
19 novembre, 2018



Submission Instructions

  • The submission system for submission of full and short papers, posters and symposia will be created soon. Submissions should be written in English and follow the current version of the ISLS author guidelines (there is also a Microsoft Word template).
  • Papers and posters will be reviewed blind. Please prepare your papers accordingly see the Word template for suggestions).
  • Symposia are not reviewed blind, please include author information in the proposal.
  • Submission Deadline: 11:59pm Pacific Standard Time (GMT-8), November 12, 2018.
Dates de début et fin de la manifestation: 
17 juin, 2019 - 21 juin, 2019

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.

Dernière mise à jour : 9 novembre, 2018 - 08:16