Call for papers

This workshop invites short papers (≤4 pages), full papers (≤10 pages) and demonstrations (≤4 pages) that focus on the intersection of discourse-centric learning analytics research, theory and practice. We particularly welcome papers that focus on the specific challenges posed by fragmentation of the field of discourse-centric learning analytics and by barriers to adoption of discourse-centric learning analytics.

As with the main conference, submissions should follow ACM guidelines.

  • Conceptual/theoretical papers might establish a framework for thinking about discourse-centric learning analytics based on learning theory, or an analysis of current computer-supported discourse platforms, or a consideration of how fragmentation of the field could be addressed.
  • Empirical papers might report studies of discourse-centric learning analytics tools in use, or report findings from user studies, and clarify the implications for developing learning analytics, or deal with fragmentation of the field and barriers to adoption.
  • Technical papers might survey and explain why particular computational linguistics techniques and tools may be of particular relevance to discourse-centric learning analytics, or report a specific tool’s development, or deal with barriers to adoption of specific tools or techniques
  • Demonstration papers will motivate the system and ideally link to a video that enables reviewers to see a version in action. They may also consider barriers to adoption that need to be overcome.

Submissions

Workshop paper submission deadline: 20 January 2014
Workshop paper notification deadline: 3 February 2014

Submissions should be done via EasyChair at this link

Authors of accepted papers will be asked to submit a finalised copy of their paper by 24 February, so it can be archived as part of the comprehensive set of LAK 2014 workshop proceedings at http://ceur-ws.org before the start of the conference.

Reviewing process

Each full paper, short paper and demonstration proposal will be reviewed by at least two reviewers designated by the workshop chairs. As with LAK14, the review process will not be blind. The comments for each paper will be shared among the reviewers of that paper and the workshop chairs. Submissions with the highest evaluations will be accepted for presentation in the workshop, pending final review by the workshop chairs. Depending on the number of submissions received, up to three papers with the highest reviewer ratings will be selected as ‘best papers’.

Best papers

A special issue of the international Journal of Learning Analytics has been organised by the LAK14 committee for the best papers from each workshop. Authors of the best papers from DCLA13 will therefore be invited to submit an extended version of their workshop paper (of which at least 25% should be new contribution not available in the archived workshop paper) for publication in the special issue.

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