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Friday, 1 February 2013

LAK 2013 Workshop - Learning Object Analytics for Collections, Repositories and Federations (LACRO 2013)

Posted on 02:43 by Unknown
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/

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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