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++apologies for cross-posting++

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FIRST CALL FOR PAPERS

Workshop on Learning Objects Analytics for Collections,
Repositories and Federations (LACRO 2013) Leuven, Belgium, 9
April 2013

http://www.ieru.org/lacro/2013/ Organised jointly with the
International Learning Analytics & Knowledge Conference 2013,
taking place in Leuven, between April 8 and April 12, 2013. (LAK
2013)

http://lakconference2013.wordpress.com/
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AIM & TOPICS

A large number of curated digital collections containing learning
resources of a various kind has emerged in the last year. These
include referatories containing descriptions for resources in the
Web (as MERLOT), aggregated collections (as Organic.Edunet),
concrete initiatives as Khan Academy, repositories hosting and
versioning modular content (as Connexions) and meta-aggregators
(as Globe and Learning Registry). Also, OpenCourseware and other
OER initiatives have contributed to making this ecosystem of
resources richer. Very interesting insights can be extracted when
studying the usage and social data that are produced within the
learning collections, repositories and federations. At the same
time, concerns for the quality and sustainability of these
collections have been raised, which has lead to research on
quality measurement and metrics.

The Workshop (http://www.ieru.org/lacro/2013/) aims to bring
studies and demonstrations for any kind of analysis done on
learning resource collections, from an interdisciplinary
perspective. We consider digital collections not as merely IT
deployments but as social systems with contributors, owners,
evaluators and users forming patterns of interactions on top of
portals or through search systems embedded in other learning
technology components. This is in coherence of considering these
social systems under a Web Science approach
(http://webscience.org/).

Topics include but are not limited to:
* Requirements for the collection of analytics in Learning
  Repositories and Federations
* Frameworks for the aggregation and sharing Learning Object (LO)
  Analytics
* Metrics regarding LO analytics focused but not limited to
  social data, language, size, quality, growth, history and
  cultural awareness
* Approaches to address big data problems in collecting analytics
  in Learning Repositories and Federations
* Browsing and visualization tools for LO analytics
* Transfer of successful algorithms and systems from other
  application areas
* Innovative services and systems for learners and curators based
  on LO analytics
* Models for the representation of LO analytics
* Data mining methods to extract of meaningful information from
  data collected regarding LOs
* Experiences from actual implementation of LO analytics in
  collections, repositories and federations

IMPORTANT DATES 15 February 2013: Submissions 28 February 2013:
Notifications 15 March 2013: Camera-ready of accepted papers 9
April 2013: LACRO Workshop in Leuven

SUBMISSIONS The Workshop accepts a variety of submission types:
* Full papers: 10 pages
* Short papers: 5 pages
* System/service demos: 2 pages
* Tutorials: 2 pages
* Learning Analytics Data sets: 2 pages (and if possible, data
  set file/URL)

Papers should be original and not previously submitted to other
venues. Submission will be available through the EasyChair
submission system:
http://www.easychair.org/conferences/?conf=lacro2013 If you
haven't an EasyChair account yet, you'll be asked to create it
before you can access the LACRO'13 page.

PUBLICATION

Workshop proceedings will be published in a seperate volume by a
publisher that will be announced soon.

CO-CHAIRS
* Miguel-Angel Sicilia, University of Alcala (Spain)
* Xavier Ochoa, Escuela Superior Politécnica del Litoral,
  (Ecuador)
* Giannis Stoitsis, Agro-Know Technologies (Greece)
* Joris Klerkx, Katholieke Universiteit Leuven (Belgium)

ABOUT LAK 2013

The International Learning Analytics & Knowledge Conference, now
in its third year, is a venue for reporting and advancing
research at the nexus of two emerging societal phenomena. First
we are witnessing the rapid expansion of the use of technologies
in supporting learning, not only in established institutional
contexts and platforms, but also in the emerging landscape of
free, open, social learning online. Second, the unprecedented
availability of data that learners generate in the process of
accessing learning materials, interacting with educators and
peers, and creating new content in these technological settings,
coupled with advances in analytics and data mining, knowledge
modeling and representation and open data offer great potential
for research into how learning takes place in socio-technical
settings and the development of new forms of analytics that can
inform learners and educators. Learning Analytics research brings
these technical, pedagogical, and social domains into dialogue
with each other to ensure that interventions and organizational
systems serve the needs of all stakeholders.

See http://lakconference2013.wordpress.com/ for details.

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ATT00001

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