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DLitLA 2016 : Data Literacy for Learning Analytics


When Apr 26, 2016 - Apr 26, 2016
Where Edinburgh, UK
Submission Deadline Jan 31, 2016
Notification Due Feb 19, 2016
Categories    data literacy

Call For Papers




Data Literacy for Learning Analytics Workshop
Learning Analytics and Knowledge 2016


26th April 2016


This interactive workshop session invites participants with diverse technical and non-technical skills to work together to consider how data literacy impacts on learning analytics, both for practitioners and for end users. Learning analytics outcomes can be targeted at a wide range of end users, some of whom will be young students and many of whom are not data specialists.

We invite both full papers and expressions of interest. Accepted long papers will be given a slot for presentation and will be published in the workshop proceedings. The expression of interest will be used to help us better understand the nature of workshop participants' interest in this topic.


Topics of interest include, but are not limited to:

* Creating dashboards and visualisations for non-data experts
* Making data and algorithms visible as a way to improve collected data and improve peoples data-contributing behaviour
* Does increasing visibility of algorithms change learner behaviour?
* Gaming the learning analytics - do data literate learners start to play the system?
* Visualizing analytic processes for novice users.


Submission of Paper and Expressions of Interest: January 31st 2016
Notification of Acceptance: February 19th 2016
Workshop Date: April 26th 2016


For paper submissions please use


Annika Wolff, Open University, UK
Zdenek Zdrahal, Open University, UK
Martin Hlosta, Open University, UK
Jakub Kuzilek, Open University, UK
John Moore, Open University, UK


Jose Cavero - Faculty of Maths, Computing and Technology; Open University, UK
Philippe Fournier-Viger - Harbin Institute of Technology Shenzhen Graduate School; China
Everaldo Aguiar - Concur Technologies, USA
Andriy Nikolov - fluidOps AG, Germany
Lubos Popelinsky - Knowledge Discovery Lab and Department of Computer Science; Masaryk University; Czech Republic
Chris Ballard - Tribal Group, UK

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