[AISWorld] Second Call for Papers for the 1st International Workshop on Learning Analytics and Linked Data

Wed Mar 14 19:04:11 EDT 2012

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*SECOND 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/

EXTENDED Submission deadline full and short papers: 28.03.2012

Submission deadline extended abstracts: 10.04.2012

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*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 should be submitted 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<http://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.

Questions can be send to: hendrik.drachsler[at]ou.nl

*IMPORTANT DATES*

28.03.2012                            EXTENDED 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, Agro-Know Technologies, 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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