• International Workshop on Collaboration Analytics: Making Learning Visible in Collaborative Settings

  •  Date

    June 18, 2019
  •  Organizers

    Roberto Martinez Maldonado, University of Technology Sydney, Australia
    Marcelo Worsley, Northwestern University, USA
    Bertrand Schneider, Harvard University, USA
    Ahmed Kharrufa, Newcastle University, UK
  •  Call for Participation

    International Workshop on Collaboration Analytics: Making Learning Visible in Collaborative Settings
    In conjunction with CSCL 2019 at Lyon, France
    June 18, 2019 http://rokupro.com
     

     
    We use the term collaboration analytics to refer to methods for collecting and analysing multiple sources of evidence from collaborative settings with the purpose of i) generating a deeper understanding of collaboration and learning; or ii) supporting learning and the development of collaboration skills by making key traces of activity visible to learners and their instructors or available to computational analysis.
     
    This half-a-day workshop brings together researchers and practitioners from different disciplines to discuss the breadth and depth of the emerging concept of collaboration analytics.
     
    The goal of this workshop is to build upon the promising sensing technologies, collaborative tools and emerging data analytics techniques to address the need for tools that provide automated assessment and feedback on group activities. The workshop targets both remote and collocated CSCL situations focusing on the shared complexity of human activity and its environment, looking particularly at the major role that data can play to enhance evidence-based reflective practices in CSCL teaching and learning.
  •  Submissions

    The workshop accepts two kinds of paper submissions before the workshop (see the dates below):
    1. Poster submissions discuss previously unpublished late breaking work or future visions in the space of Collaboration Analytics (2-4 pages).
    2. Research highlight submissions allow researchers to share work relevant to Collaboration Analytics, which was already accepted for publication and/or presented at other venues in the period between 2016 and May 2019. These submissions should include ONLY the abstract of the original publication and a brief summary explaining this work’s significance for the workshop. These submissions should also include a statement that their submission to Collaboration Analytics does not conflict with the policies of the venue where the work was originally published or presented (1-2 pages).
     
    Submissions should be written in English and follow the current version of the ISLS author guidelines (there is also a Microsoft Word template). Submissions should be sent by email to collaboration.analytics.cscl@gmail.com
     
    For each accepted submission, at least one author must attend the workshop. Accepted submissions will be published on the workshop website. Authors retain all copyright. Accepted submission will be presented as posters and discussed in a poster session during the workshop.
  •  Important dates
     
    • Submission Deadline: 1 May 2019
    • Notifications: 7 May 2019
    • Full reviews: 18 May 2019
    • Registration: to be announced / Early bird 8 May 2019
    • Workshop date: 18 June 2019
  •  Contact

    If you have any questions or a need for further information, please send an email to collaboration.analytics.cscl@gmail.com
  • ICAR Laboratory
    (Interactions, Corpus, Learning, Representations)
     
    Ecole Normale Supérieure
    15, parvis René Descartes
    69007 Lyon, France
    Dr. Kristine Lund, Conference Chair
    Dr. Gerald Niccolai, Conference Co-chair
    SCIENTIFIC Organization



       
    LIRIS Laboratory
    (Computer Science Laboratory of Imagery and Information Systems)

     
    iaelyon School of Management
    Université Jean Moulin Lyon 3 
    1C avenue des Frères Lumière
    CS 78242 - 69372 Lyon Cedex 08 
    Dr. Elise Lavoué, Conference Co-chair
  • INSIGHT OUTSIDE


     
    REGISTRATION AND ADMINISTRATIVE QUESTIONS
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