[Apologies for cross-posting]

International Workshop on Learning Analytics Data Sharing
http://www.laceproject.eu/iknow14

To be held at:
The 14th International Conference on Knowledge Technologies and Data-driven Business (i-KNOW14)
Co-located with the 9th European Conference on Technology Enhanced Learning (EC-TEL 2014)
September 16-19, 2014
Graz, Austria

Submissions: May 26, 2014

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The practical feasibility of data sharing for learning analytics is a great deal more complex than the selection of a good technical architecture. It is imperative that initiatives intended to work towards a data sharing platform – comprising technical, operational, business, policy, and governance factors – have a better basis on evidence than has so far been established and related to the problem at hand.

The intention of this workshop is to gain contributions of evidence (both project successes and limitations), contextualised to learning analytics data sharing, and to critically assess the feasibility of various options with a view to developing a roadmap for action by multiple stakeholders. The roadmap is intended to be a bridge between research and practical action and encompass the multiple concerns indicated above: technical, operational, business, policy, and governance.

Key Questions to be addressed with respect to learning analytics data sharing:
* What do we, as a community, believe is feasible? (and what evidence is available)
* What would a practical roadmap for progress look like?

INTENDED PARTICIPATION

The workshop seeks to exploit the opportunity of the co-location of the i-KNOW and ECTEL conferences to address both the semantic web community and the TEL community to enable a fruitful discourse around educational data sharing between both communities.

This workshop should be of interest to a spectrum of stakeholders within these communities:
* Researchers who wish to bring their results forward to a critical debate centred on real-world feasibility or want to understand which problems are in need of their attention.
* Research leaders who want to develop scalable, sustainable, and efficient multi-lateral collaborations based on learning data.
* Data entrepreneurs seeking the next opportunity to develop a product or service based around learning data.
* Policy-makers developing strategies, and investment planning for the common good.

CALL FOR SUBMISSIONS

Contributions are invited that address either research or practice contexts. They should provide clarity on the potential benefits of data sharing, provide evidence for or against possible approaches, and critically address feasibility and desirability from a range of perspectives. Submissions should address at least one of the following aspects, as applied to data sharing for learning analytics or educational data mining:
* Scope – what kind of data is it most beneficial to share?
* Technical architectures for data sharing.
* Interoperability and standards.
* Ethical aspects of data sharing
* Sustainability of collaborative initiatives or shared infrastructure.
* Business models for data-driven services.

The workshop organisers believe that process of data sharing, and the reasons for doing so, are not to be understood purely theoretical point of view. Consequently, a thorough understanding of the above aspects should embed consideration of data use in authentic contexts, and this demands a user-centric perspective should be taken along-side the prime facie perspective of “data sharing”. Submissions that include user-centric views are, therefore, particularly welcome.

We are seeking formal and informal submissions for the workshop. See http://www.laceproject.eu/iknow14 for more information.

ORGANISERS

    Adam Cooper, University of Bolton, UK.
    Tore Hoel, Oslo and Akershus University College, NO.
    Hendrik Drachsler, Open University Nederlands, NL.

IMPORTANT DATES

    May 26, 2014. Deadline for formal submissions.
    June 30, 2014. Notification of review outcome for formal submissions.
    July 14, 2014. Camera ready versions of formal submissions.
    July 14, 2014. Deadline for expressions of interest.
    September 5, 2014. Deadline for informal submissions.
    September 16-19, 2014. i-KNOW Conference on Knowledge Technologies and Data-driven business.


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