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Lak16GS 2016 : LAK'16 Learning Through Goal Setting Workshop


When Apr 26, 2016 - Apr 26, 2016
Where Edinburgh
Submission Deadline Feb 5, 2016
Notification Due Feb 19, 2016
Final Version Due Feb 5, 2016
Categories    learning analytics   goal setting   learning dashboard   educational data mining

Call For Papers

Call for Papers:

The workshop is open to all LA researchers with an interest in Goal Setting. On the learning side - learning science, educational psychology, assessment and evaluation, curriculum and pedagogy design, and management. On the data side - educational data mining, machine learning , HCI, computer science, and educational statistics.

We accept paper submission along the following four main themes:
Goal Setting Theory
Goal Setting Measurement and Analytics
Relationship between GS and other educational outcomes (e.g. interest, motivation, engagement, and academic performance)
Goal Setting Technologies
The specific topics include but are not limited to:
Goal Setting and Student Motivation
Goal Setting and Self-regulated learning
Goal Setting platform and software
Instruments and measures in Goal Setting
Analytics on Goal Setting data

Key Dates:

Abstract Submission Deadline:February 5, 2016 (Extended!!!)

Notification of Acceptance: February 19, 2016

Workshop: April 26, 2016 (1:00 PM - 4:30 PM)

LAK'16 Conference: April 25-29, 2016


This workshop will be collocated with the LAK'16 conference at Edinburgh, Scotland.

Submission Format:

Paper should be formatted according to ACM conference guidelines for full papers. Papers should not exceed 5 pages including references. Submit your abstract and full paper through EasyChair. We do not accept submissions through email!

Submit your abstract at:

Review Process:

Papers will undergo single-blind peer review process. Three reviewers will be assigned to each paper to assess its quality and relevance.

Workshop Proceedings:

Accepted papers will be published in the CEUR workshop proceedings. Moreover, the organizers and program committee members will nominate at most two best papers to be part in a special issue of the International Journal of Learning Analytics.


Stefan Mol, University of Amsterdam
Vladimer Kobayashi, University of Amsterdam
Gabor Kismihok, University of Amsterdam
Catherine Zhao, University of New South Wales

Program Committee:

Abelardo Pardo, Sydney University
Alan Berg, University of Amsterdam
Jinxia Zhu, University of New South Wales
Marc Chan, University of Technology Sydney
Huaxin Xu, University of Technology Sydney
Prathyusha Sanagavarapu, Western Sydney University
Jeremy Knox, The University of Edinburgh
Leah P. Macfadyen, University of British Columbia


For questions kindly email us at
More information at:
Submit your abstract at:

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