<p class="MsoNormal" style="margin-bottom:0.0001pt"><span style="font-size:12.0pt;font-family:"Helvetica","sans-serif"">************************************************</span></p>
<p class="MsoNormal" style="margin-bottom:0.0001pt"><b><span style="font-size:12.0pt;font-family:"Helvetica","sans-serif"">SECOND CALL FOR
PAPERS</span></b><span style="font-size:12.0pt;font-family:"Helvetica","sans-serif""></span></p>
<p class="MsoNormal" style="margin-bottom:0.0001pt"><b><span style="font-size:12.0pt;font-family:"Helvetica","sans-serif"">1st International
Workshop on Learning Analytics and Linked Data (#LALD2012)</span></b><span style="font-size:12.0pt;font-family:"Helvetica","sans-serif""></span></p>
<p class="MsoNormal" style="margin-bottom:0.0001pt"><span style="font-size:12.0pt;font-family:"Helvetica","sans-serif"">in conjunction
with the 2nd Conference on Learning Analytics and Knowledge (LAK’12)</span></p>
<p class="MsoNormal" style="margin-bottom:0.0001pt"><span style="font-size:12.0pt;font-family:"Helvetica","sans-serif"">29.04. -
02.05.2012, Vancouver (Canada).</span></p>
<p class="MsoNormal" style="margin-bottom:0.0001pt"><span style="font-size:12.0pt;font-family:"Helvetica","sans-serif""> </span></p>
<p class="MsoNormal" style="margin-bottom:0.0001pt"><span style="font-size:12.0pt;font-family:"Helvetica","sans-serif"">Jointly organized
by the <a href="http://linkededucation.org/"><span style="color:#094ee6">http://linkededucation.org</span></a>
initiative and the EATEL SIG dataTEL (<a href="http://bit.ly/datatel"><span style="color:#094ee6">http://bit.ly/datatel</span></a>).</span></p>
<p class="MsoNormal" style="margin-bottom:0.0001pt"><span style="font-size:12.0pt;font-family:"Helvetica","sans-serif""> </span></p>
<p class="MsoNormal" style="margin-bottom:0.0001pt"><span style="font-size:12.0pt;font-family:"Helvetica","sans-serif"">Workshop website:
<a href="http://lald.linkededucation.org/"><span style="color:#094ee6">http://lald.linkededucation.org/</span></a> </span></p>
<p class="MsoNormal" style="margin-bottom:0.0001pt"><span style="font-size:12.0pt;font-family:"Helvetica","sans-serif""> </span></p>
<p class="MsoNormal" style="margin-bottom:0.0001pt"><span style="font-size:12.0pt;font-family:"Helvetica","sans-serif"">EXTENDED </span><span style="font-family:Helvetica,sans-serif;font-size:12pt">Submission deadline full and short papers: 28.03.2012</span></p>
<p class="MsoNormal" style="margin-bottom:0.0001pt"><span style="font-size:12.0pt;font-family:"Helvetica","sans-serif"">Submission deadline
extended abstracts: 10.04.2012
</span></p>
<p class="MsoNormal" style="margin-bottom:0.0001pt"><span style="font-size:12.0pt;font-family:"Helvetica","sans-serif"">************************************************</span></p>
<p class="MsoNormal" style="margin-bottom:0.0001pt"><span style="font-size:12.0pt;font-family:"Helvetica","sans-serif""> </span></p>
<p class="MsoNormal" style="margin-bottom:0.0001pt"><b><span style="font-size:12.0pt;font-family:"Helvetica","sans-serif"">SCOPE</span></b><span style="font-size:12.0pt;font-family:"Helvetica","sans-serif""></span></p>
<p class="MsoNormal" style="margin-bottom:0.0001pt"><span style="font-size:12.0pt;font-family:"Helvetica","sans-serif"">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. </span></p>
<p class="MsoNormal" style="margin-bottom:0.0001pt"><span style="font-size:12.0pt;font-family:"Helvetica","sans-serif""> </span></p>
<p class="MsoNormal" style="margin-bottom:0.0001pt"><b><span style="font-size:12.0pt;font-family:"Helvetica","sans-serif"">BACKGROUND</span></b><span style="font-size:12.0pt;font-family:"Helvetica","sans-serif""></span></p>
<p class="MsoNormal" style="margin-bottom:0.0001pt"><span style="font-size:12.0pt;font-family:"Helvetica","sans-serif"">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.</span></p>
<p class="MsoNormal" style="margin-bottom:0.0001pt"><span style="font-size:12.0pt;font-family:"Helvetica","sans-serif""> </span></p>
<p class="MsoNormal" style="margin-bottom:0.0001pt"><span style="font-size:12.0pt;font-family:"Helvetica","sans-serif"">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.</span></p>
<p class="MsoNormal" style="margin-bottom:0.0001pt"><span style="font-size:12.0pt;font-family:"Helvetica","sans-serif""> </span></p>
<p class="MsoNormal" style="margin-bottom:0.0001pt"><span style="font-size:12.0pt;font-family:"Helvetica","sans-serif"">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. </span></p>
<p class="MsoNormal" style="margin-bottom:0.0001pt"><span style="font-size:12.0pt;font-family:"Helvetica","sans-serif""> </span></p>
<p class="MsoNormal" style="margin-bottom:0.0001pt"><span style="font-size:12.0pt;font-family:"Helvetica","sans-serif"">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.</span></p>
<p class="MsoNormal" style="margin-bottom:0.0001pt"><span style="font-size:12.0pt;font-family:"Helvetica","sans-serif""> </span></p>
<p class="MsoNormal" style="margin-bottom:0.0001pt"><b><span style="font-size:12.0pt;font-family:"Helvetica","sans-serif"">TOPICS</span></b><span style="font-size:12.0pt;font-family:"Helvetica","sans-serif""></span></p>
<p class="MsoNormal" style="margin-bottom:0.0001pt"><span style="font-size:12.0pt;font-family:"Helvetica","sans-serif"">The workshop is
looking for contributions touching the following topics.</span></p>
<p class="MsoNormal" style="margin-bottom:0.0001pt"><span style="font-size:12.0pt;font-family:"Helvetica","sans-serif""> </span></p>
<p class="MsoNormal" style="margin-bottom:0.0001pt"><i><span style="font-size:12.0pt;font-family:"Helvetica","sans-serif"">Educational (Linked)
Data</span></i><span style="font-size:12.0pt;font-family:"Helvetica","sans-serif""></span></p>
<p class="MsoNormal" style="margin-bottom:0.0001pt"><span style="font-size:12.0pt;font-family:"Helvetica","sans-serif"">- Evaluating,
promoting, creating and clustering of educational datasets, schemas and
vocabularies</span></p>
<p class="MsoNormal" style="margin-bottom:0.0001pt"><span style="font-size:12.0pt;font-family:"Helvetica","sans-serif"">- Use of LOD for
educational purposes</span></p>
<p class="MsoNormal" style="margin-bottom:0.0001pt"><span style="font-size:12.0pt;font-family:"Helvetica","sans-serif"">- Feasibility of
standardization of educational datasets to enable exchange and interoperability</span></p>
<p class="MsoNormal" style="margin-bottom:0.0001pt"><span style="font-size:12.0pt;font-family:"Helvetica","sans-serif"">- Sharing of
educational datasets among TEL researchers</span></p>
<p class="MsoNormal" style="margin-bottom:0.0001pt"><span style="font-size:12.0pt;font-family:"Helvetica","sans-serif""> </span></p>
<p class="MsoNormal" style="margin-bottom:0.0001pt"><i><span style="font-size:12.0pt;font-family:"Helvetica","sans-serif"">Data
Technologies:</span></i><span style="font-size:12.0pt;font-family:"Helvetica","sans-serif""></span></p>
<p class="MsoNormal" style="margin-bottom:0.0001pt"><span style="font-size:12.0pt;font-family:"Helvetica","sans-serif"">- Technologies
for the exploration of educational datasets, i.e., for filtering, interlinking,
exposing, adapting, converting and visualizing educational datasets</span></p>
<p class="MsoNormal" style="margin-bottom:0.0001pt"><span style="font-size:12.0pt;font-family:"Helvetica","sans-serif"">- Real-world applications
that show a measurable impact of Learning Analytics</span></p>
<p class="MsoNormal" style="margin-bottom:0.0001pt"><span style="font-size:12.0pt;font-family:"Helvetica","sans-serif"">- Real-world
educational applications that exploit the Web of Data</span></p>
<p class="MsoNormal" style="margin-bottom:0.0001pt"><span style="font-size:12.0pt;font-family:"Helvetica","sans-serif"">- Tools to use
and exploit educational Linked Open Data[e]</span></p>
<p class="MsoNormal" style="margin-bottom:0.0001pt"><span style="font-size:12.0pt;font-family:"Helvetica","sans-serif"">- Innovative TEL
applications that make large-scale use of the available open Web of data</span></p>
<p class="MsoNormal" style="margin-bottom:0.0001pt"><span style="font-size:12.0pt;font-family:"Helvetica","sans-serif""> </span></p>
<p class="MsoNormal" style="margin-bottom:0.0001pt"><i><span style="font-size:12.0pt;font-family:"Helvetica","sans-serif"">Evaluation of
Technologies and Datasets:</span></i><span style="font-size:12.0pt;font-family:"Helvetica","sans-serif""></span></p>
<p class="MsoNormal" style="margin-bottom:0.0001pt"><span style="font-size:12.0pt;font-family:"Helvetica","sans-serif"">- (Standardized)
evaluation methods for Learning Analytics</span></p>
<p class="MsoNormal" style="margin-bottom:0.0001pt"><span style="font-size:12.0pt;font-family:"Helvetica","sans-serif"">- Descriptions of
data competitions</span></p>
<p class="MsoNormal" style="margin-bottom:0.0001pt"><span style="font-size:12.0pt;font-family:"Helvetica","sans-serif""> </span></p>
<p class="MsoNormal" style="margin-bottom:0.0001pt"><i><span style="font-size:12.0pt;font-family:"Helvetica","sans-serif"">Privacy and
Ethics:</span></i><span style="font-size:12.0pt;font-family:"Helvetica","sans-serif""></span></p>
<p class="MsoNormal" style="margin-bottom:0.0001pt"><span style="font-size:12.0pt;font-family:"Helvetica","sans-serif"">- Policies on
ethical implications of using educational data for learning analytics (privacy
and legal protection rights)</span></p>
<p class="MsoNormal" style="margin-bottom:0.0001pt"><span style="font-size:12.0pt;font-family:"Helvetica","sans-serif"">- Guidelines for
the anonymisation and sharing of educational data for Learning Analytics
research</span></p>
<p class="MsoNormal" style="margin-bottom:0.0001pt"><span style="font-size:12.0pt;font-family:"Helvetica","sans-serif""> </span></p>
<p class="MsoNormal" style="margin-bottom:0.0001pt"><i><span style="font-size:12.0pt;font-family:"Helvetica","sans-serif"">SUBMISSION</span></i><span style="font-size:12.0pt;font-family:"Helvetica","sans-serif""></span></p>
<p class="MsoNormal" style="margin-bottom:0.0001pt"><span style="font-size:12.0pt;font-family:"Helvetica","sans-serif"">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 <a href="http://www.springer.com/computer/lncs?SGWID=0-164-6-793341-0"><span style="color:#094ee6">http://www.springer.com/computer/lncs?SGWID=0-164-6-793341-0</span></a></span></p>
<p class="MsoNormal" style="margin-bottom:0.0001pt"><span style="font-size:12.0pt;font-family:"Helvetica","sans-serif""> </span></p>
<p class="MsoNormal" style="margin-bottom:0.0001pt"><span style="font-size:12.0pt;font-family:"Helvetica","sans-serif"">Submission should
be submitted through the conference management tool ginkgo: <a href="http://ginkgo.cs.upb.de/events/lald12"><span style="color:#094ee6">http://ginkgo.cs.upb.de/events/lald12</span></a></span></p>
<p class="MsoNormal" style="margin-bottom:0.0001pt"><span style="font-size:12.0pt;font-family:"Helvetica","sans-serif""> </span></p>
<p class="MsoNormal" style="margin-bottom:0.0001pt"><span style="font-size:12.0pt;font-family:"Helvetica","sans-serif"">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 <a href="http://ceur-ws.org/"><span style="color:#094ee6">CEUR-WS.org</span></a> 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.</span></p>
<p class="MsoNormal" style="margin-bottom:0.0001pt"><span style="font-size:12.0pt;font-family:"Helvetica","sans-serif""> </span></p>
<p class="MsoNormal" style="margin-bottom:0.0001pt"><span style="font-size:12.0pt;font-family:"Helvetica","sans-serif"">Questions can be
send to: hendrik.drachsler[at]<a href="http://ou.nl">ou.nl</a></span></p>
<p class="MsoNormal" style="margin-bottom:0.0001pt"><span style="font-size:12.0pt;font-family:"Helvetica","sans-serif""> </span></p>
<p class="MsoNormal" style="margin-bottom:0.0001pt"><b><span style="font-size:12.0pt;font-family:"Helvetica","sans-serif"">IMPORTANT DATES</span></b><span style="font-size:12.0pt;font-family:"Helvetica","sans-serif""></span></p>
<p class="MsoNormal" style="margin-bottom:0.0001pt"><span style="font-size:12.0pt;font-family:"Helvetica","sans-serif"">28.03.2012 EXTENDED Submission
deadline for full and short papers</span></p>
<p class="MsoNormal" style="margin-bottom:0.0001pt"><span style="font-size:12.0pt;font-family:"Helvetica","sans-serif"">10.04.2012 Submission deadline
for extended abstracts (describing data sets and demonstrations)</span></p>
<p class="MsoNormal" style="margin-bottom:0.0001pt"><span style="font-size:12.0pt;font-family:"Helvetica","sans-serif"">12.04.2012 Notification of
acceptance </span></p>
<p class="MsoNormal" style="margin-bottom:0.0001pt"><span style="font-size:12.0pt;font-family:"Helvetica","sans-serif"">26.04.2012 Submission deadline
for final papers</span></p>
<p class="MsoNormal" style="margin-bottom:0.0001pt"><span style="font-size:12.0pt;font-family:"Helvetica","sans-serif"">29.04.2012 Workshop</span></p>
<p class="MsoNormal" style="margin-bottom:0.0001pt"><span style="font-size:12.0pt;font-family:"Helvetica","sans-serif"">30.04. -
02.05.2012 LAK Conference</span></p>
<p class="MsoNormal" style="margin-bottom:0.0001pt"><span style="font-size:12.0pt;font-family:"Helvetica","sans-serif""> </span></p>
<p class="MsoNormal" style="margin-bottom:0.0001pt"><b><span style="font-size:12.0pt;font-family:"Helvetica","sans-serif"">ORGANIZERS</span></b><span style="font-size:12.0pt;font-family:"Helvetica","sans-serif""></span></p>
<p class="MsoNormal" style="margin-bottom:0.0001pt"><span style="font-size:12.0pt;font-family:"Helvetica","sans-serif"">Hendrik
Drachsler; Open University of the Netherlands, NL</span></p>
<p class="MsoNormal" style="margin-bottom:0.0001pt"><span style="font-size:12.0pt;font-family:"Helvetica","sans-serif"">Stefan Dietze;
L3S Research Center, DE</span></p>
<p class="MsoNormal" style="margin-bottom:0.0001pt"><span style="font-size:12.0pt;font-family:"Helvetica","sans-serif"">Mathieu d’Aquin;
The Open University, UK</span></p>
<p class="MsoNormal" style="margin-bottom:0.0001pt"><span style="font-size:12.0pt;font-family:"Helvetica","sans-serif"">Wolfgang Greller;
Open University of the Netherlands, NL</span></p>
<p class="MsoNormal" style="margin-bottom:0.0001pt"><span style="font-size:12.0pt;font-family:"Helvetica","sans-serif"">Jelena Jovanovic;
University of Belgrade, SR</span></p>
<p class="MsoNormal" style="margin-bottom:0.0001pt"><span style="font-size:12.0pt;font-family:"Helvetica","sans-serif"">Abelardo Pardo;
University Carlos III of Madrid, ES</span></p>
<p class="MsoNormal" style="margin-bottom:0.0001pt"><span style="font-size:12.0pt;font-family:"Helvetica","sans-serif"">Wolfgang
Reinhardt; University of Paderborn, DE</span></p>
<p class="MsoNormal" style="margin-bottom:0.0001pt"><span style="font-size:12.0pt;font-family:"Helvetica","sans-serif"">Katrien Verbert;
K.U.Leuven, BE</span></p>
<p class="MsoNormal" style="margin-bottom:0.0001pt"><span style="font-size:12.0pt;font-family:"Helvetica","sans-serif""> </span></p>
<p class="MsoNormal" style="margin-bottom:0.0001pt"><b><span style="font-size:12.0pt;font-family:"Helvetica","sans-serif"">PROGRAMME
COMMITTEE (to be confirmed):</span></b><span style="font-size:12.0pt;font-family:"Helvetica","sans-serif""></span></p>
<p class="MsoNormal" style="margin-bottom:0.0001pt"><span style="font-size:12.0pt;font-family:"Helvetica","sans-serif"">Markus Specht,
Open University of the Netherlands, The Netherlands</span></p>
<p class="MsoNormal" style="margin-bottom:0.0001pt"><span style="font-size:12.0pt;font-family:"Helvetica","sans-serif"">Peter Sloep, Open
University of the Netherlands, The Netherlands</span></p>
<p class="MsoNormal" style="margin-bottom:0.0001pt"><span style="font-size:12.0pt;font-family:"Helvetica","sans-serif"">Marco Kalz, Open
University of the Netherlands, The Netherlands</span></p>
<p class="MsoNormal" style="margin-bottom:0.0001pt"><span style="font-size:12.0pt;font-family:"Helvetica","sans-serif"">Christian Glahn,
ETH Zuerich, Switzerland </span></p>
<p class="MsoNormal" style="margin-bottom:0.0001pt"><span style="font-size:12.0pt;font-family:"Helvetica","sans-serif"">Erik Duval, K.U.
Leuven, Belgium</span></p>
<p class="MsoNormal" style="margin-bottom:0.0001pt"><span style="font-size:12.0pt;font-family:"Helvetica","sans-serif"">Martin Wolpers,
FIT Fraunhofer, Germany</span></p>
<p class="MsoNormal" style="margin-bottom:0.0001pt"><span style="font-size:12.0pt;font-family:"Helvetica","sans-serif"">Nikos Manouselis,
Agro-Know Technologies, Greece</span></p>
<p class="MsoNormal" style="margin-bottom:0.0001pt"><span style="font-size:12.0pt;font-family:"Helvetica","sans-serif"">Olga Santos,
aDeNu Research Group, UNED, Spain</span></p>
<p class="MsoNormal" style="margin-bottom:0.0001pt"><span style="font-size:12.0pt;font-family:"Helvetica","sans-serif"">Dragan Gasevic,
Athabasca University, Canada</span></p>
<p class="MsoNormal" style="margin-bottom:0.0001pt"><span style="font-size:12.0pt;font-family:"Helvetica","sans-serif"">Felix
Mödritscher, Vienna University of Economics and Business, Austria</span></p>
<p class="MsoNormal" style="margin-bottom:0.0001pt"><span style="font-size:12.0pt;font-family:"Helvetica","sans-serif"">Fridolin Wild,
Open University, United Kingdom</span></p>
<p class="MsoNormal" style="margin-bottom:0.0001pt"><span style="font-size:12.0pt;font-family:"Helvetica","sans-serif"">Gawesh Jawaheer,
City University London, United Kingdom</span></p>
<p class="MsoNormal" style="margin-bottom:0.0001pt"><span style="font-size:12.0pt;font-family:"Helvetica","sans-serif"">Ebner Hannes,
Royal Institute of Technology (KTH), Sweden </span></p>
<p class="MsoNormal" style="margin-bottom:0.0001pt"><span style="font-size:12.0pt;font-family:"Helvetica","sans-serif"">Hanan Ayad,
Desire2Learn, Canada</span></p>
<p class="MsoNormal" style="margin-bottom:0.0001pt"><span style="font-size:12.0pt;font-family:"Helvetica","sans-serif"">Melody Siadaty,
Athabasca University, Canada</span></p>
<p class="MsoNormal" style="margin-bottom:0.0001pt"><span style="font-size:12.0pt;font-family:"Helvetica","sans-serif"">Philippe
Cudré-Mauroux, University of Fribourg, Switzerland</span></p>
<p class="MsoNormal" style="margin-bottom:0.0001pt"><span style="font-size:12.0pt;font-family:"Helvetica","sans-serif"">Carsten Keßler,
University of Münster, Germany</span></p>
<p class="MsoNormal" style="margin-bottom:0.0001pt"><span style="font-size:12.0pt;font-family:"Helvetica","sans-serif"">Davide Taibi,
Institute for Educational Technologies, Italian National Research Council,
Italy</span></p>
<p class="MsoNormal" style="margin-bottom:0.0001pt"><span style="font-size:12.0pt;font-family:"Helvetica","sans-serif"">Tom Heath, Talis,
UK</span></p>