Thanks Wolfgang, looks an interesting call, and I would love to go back
to Vancouver!
Best
Dai
On 01/24/2012 10:05 AM, Wolfgang Greller wrote:
> Apologies for cross-posting!
>
> Best wishes
> Wolfgang
>
>
>
> ************************************************
> CALL FOR PAPERS
> 1st International Workshop on Learning Analytics and Linked Data (#LALD2012)
> in conjunction with the 2nd Conference on Learning Analytics and Knowledge
> (LAK’12)
> 29.04. - 02.05.2012, Vancouver (Canada).
>
> Jointly organized by the http://linkededucation.org initiative and the
> EATEL SIG dataTEL (http://bit.ly/datatel).
>
> Workshop website: http://lald.linkededucation.org/
> Submission deadline full and short papers: 14.03.2012
> Submission deadline extended abstracts : 10.04.2012
> ************************************************
>
> SCOPE
> The main objective of the 1st International Workshop on Learning Analytics
> and Linked Data (#LALD2012) is to connect the research efforts on Linked
> Data and Learning Analytics to create visionary ideas [a] and foster
> synergies between both young research fields. Therefore, the workshop will
> collect, explore, and present datasets, technologies and applications [b]
> for Technology-Enhanced Learning (TEL) to discuss Learning Analytics
> approaches which make use of educational data or Linked Data sources.
> During the workshop, an overview of available educational datasets and
> related initiatives will be given. The participants will have the
> opportunity to present their own research with respect to educational
> datasets, technologies and applications and discuss major challenges to
> collect, reuse and share these datasets.
>
> BACKGROUND
> In TEL, a multitude of datasets exists containing detailed observations of
> events in learning environments [c]that offer new opportunities for
> teaching and learning. The available datasets can be roughly distinguished
> between (a) Linked Data - Open Web Data and (b) Personal learning data from
> different learning environments.
>
> Open Web data covers educational data publicly available on the Web, such
> as Linked Open Data (LOD) published by institutions about their courses and
> other resources; examples include (but are not limited to), The Open
> University (UK), the National Research Council (CNR, Italy), Southampton
> University (UK) or the mEducator Linked Educational Resources. It also
> includes the emergence of LD-based metadata schemas and TEL-related
> datasets. The main driver in the adoption of the LOD approach in the
> educational domain is the enrichment of the learning content and the
> learning experience by making use of various connected data sources.
>
> Personal learning data from learning environments originate from tracking
> learners’ interactions with tools, resources or peers[d]. The main driver
> for analyzing these data is the vision of personalized learning that offers
> potential to create more effective learning experiences through new
> possibilities for predicting and reflecting the individual learning process.
>
> To this end, Learning Analytics can be seen as an approach which brings
> together two different views: (i) the external view on publicly available
> Web data and (ii) an internal view on personal learner data, e.g. data
> about individual learning activities and histories. Learning Analytics aims
> at combining these two in a smart and innovative way to enable advanced
> educational services, such as recommendation (a) of suitable educational
> resources to individual learners, (b) peer students or external expert to
> cooperate with.
>
> TOPICS
> The workshop is looking for contributions touching the following topics.
>
> Educational (Linked) Data
> - Evaluating, promoting, creating and clustering of educational datasets,
> schemas and vocabularies
> - Use of LOD for educational purposes
> - Feasibility of standardization of educational datasets to enable exchange
> and interoperability
> - Sharing of educational datasets among TEL researchers
>
> Data Technologies:
> - Technologies for the exploration of educational datasets, i.e., for
> filtering, interlinking, exposing, adapting, converting and visualizing
> educational datasets
> - Real-world applications that show a measurable impact of Learning
> Analytics
> - Real-world educational applications that exploit the Web of Data
> - Tools to use and exploit educational Linked Open Data[e]
> - Innovative TEL applications that make large-scale use of the available
> open Web of data
>
> Evaluation of Technologies and Datasets:
> - (Standardized) evaluation methods for Learning Analytics
> - Descriptions of data competitions
>
> Privacy and Ethics:
> - Policies on ethical implications of using educational data for learning
> analytics (privacy and legal protection rights)
> - Guidelines for the anonymisation and sharing of educational data for
> Learning Analytics research
>
> SUBMISSION
> The workshop is looking for different types of submissions. We accept
> regular full paper (8-14 pages), short paper (4-6 pages). Moreover, we are
> interested in anonymized datasets that can then be openly used in
> evaluating TEL recommender systems. Above all, we encourage you to
> demonstrate your data products and tools even if they are in a premature
> state. Datasets and demonstrations should be submitted together with an
> extended abstract submissions (up to 2 pages). For all paper submissions we
> require formatting according to the Springer LNCS template
> http://www.springer.com/computer/lncs?SGWID=0-164-6-793341-0
>
> Submission will be available through the conference management tool ginkgo:
> http://ginkgo.cs.upb.de/events/lald12
>
> All submitted papers will be peer-reviewed by at least two members of the
> program committee for originality, significance, clarity, and quality.
> Final versions of accepted submissions will be published in the CEUR-WS.org
> workshop proceedings and most promising contributions will be invited to
> the 2nd Special Issue on dataTEL at the International Journal of Technology
> Enhanced Learning (IJTEL). In addition, the authors are asked to contribute
> short summaries of their submissions to the dataTEL group space at
> TELeurope to encourage early information sharing and discussion also with
> third persons. Based on workshop submissions, the organizers will identify
> most pressing research challenges to structure the workshop.
>
> All questions and submissions should be sent to: hendrik.drachsler[at]ou.nl
>
> IMPORTANT DATES
> 14.03.2012 Submission deadline for full and short
> papers
> 10.04.2012 Submission deadline for extended abstracts
> (describing data sets and demonstrations)
> 12.04.2012 Notification of acceptance
> 26.04.2012 Submission deadline for final papers
> 29.04.2012 Workshop
> 30.04. - 02.05.2012 LAK Conference
>
> ORGANIZERS
> Hendrik Drachsler; Open University of the Netherlands, NL
> Stefan Dietze; L3S Research Center, DE
> Mathieu d’Aquin; The Open University, UK
> Wolfgang Greller; Open University of the Netherlands, NL
> Jelena Jovanovic; University of Belgrade, SR
> Abelardo Pardo; University Carlos III of Madrid, ES
> Wolfgang Reinhardt; University of Paderborn, DE
> Katrien Verbert; K.U.Leuven, BE
>
> PROGRAMME COMMITTEE (to be confirmed):
> Markus Specht, Open University of the Netherlands, The Netherlands
> Peter Sloep, Open University of the Netherlands, The Netherlands
> Marco Kalz, Open University of the Netherlands, The Netherlands
> Christian Glahn, ETH Zuerich, Switzerland
> Erik Duval, K.U. Leuven, Belgium
> Martin Wolpers, FIT Fraunhofer, Germany
> Nikos Manouselis, AgroKnow, Greece
> Olga Santos, aDeNu Research Group, UNED, Spain
> Dragan Gasevic, Athabasca University, Canada
> Felix Mödritscher, Vienna University of Economics and Business, Austria
> Fridolin Wild, Open University, United Kingdom
> Gawesh Jawaheer, City University London, United Kingdom
> Ebner Hannes, Royal Institute of Technology (KTH), Sweden
> Hanan Ayad, Desire2Learn, Canada
> Melody Siadaty, Athabasca University, Canada
> Philippe Cudré-Mauroux, University of Fribourg, Switzerland
> Carsten Keßler, University of Münster, Germany
> Davide Taibi, Institute for Educational Technologies, Italian National
> Research Council, Italy
> Tom Heath, Talis, UK
>
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--
-------------------------------------------
Professor David (Dai) Griffiths
Professor of Educational Cybernetics
Institute for Educational Cybernetics (IEC) The University of Bolton
http://www.bolton.ac.uk/IEC
SKYPE: daigriffiths
UK Mobile: + 44 (0)7826917705
Spanish Mobile: + 34 687955912
email: [log in to unmask]
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