LAK DATA CHALLENGE 2014
collocated with Learning Analytics & Knowledge 2014
The LAK Dataset (http://lak.linkededucation.org/) provides access to
structured metadata from research publications in the field of learning
analytics. Beyond merely publishing the data, we are actively
encouraging its innovative use and exploitation as part of a public LAK
Data Challenge sponsored by the European Project LinkedUp
(http://linkedup-project.eu<http://linkedup-project.eu/>), co-located with the Learning Analytics &
Knowledge Conference 2014 conference in Indianapolis, Indiana (US) in
March 2014.
IMPORTANT DATES
---------------
- 20th January, 2014: submission deadline
- 3rd February, 2014: notification deadline
- 24-28 March, 2014: LAK2014 Conference.
CHALLENGE OBJECTIVE
-------------------
What do analytics on learning analytics tell us? How can we make sense
of this emerging fieldís historical roots, current state, and future
trends, based on how its members report and debate their research?
Challenge submissions should exploit the LAK Dataset for a meaningful
purpose. This may include submissions which cover one or more of the
following, non-exclusive list of topics:
- Analysis & assessment of the emerging LAK community in terms of
topics, people, citations or connections with other fields
- Innovative applications to explore, navigate and visualise the dataset
(and/or its correlation with other datasets)
- Usage of the dataset as part of recommender systems
- Analysis of the evolution of the LAK discipline
- Improvement and enrichment of the LAK Dataset
SUBMISSION FORMAT
-----------------
Each submission should be accompanied by a 2-4 page paper (ACM format,
see http://www.acm.org/sigs/publications/proceedings-templates) that
contains at least:
- an abstract of the submission
- motivation: which purposes does your system or dataset serve?
- description of your dataset (e.g. if the LAK data is combined with
other datasets), system or demo
- a link to your dataset and/or system or demo
Please use the EasyChair submission form
(https://www.easychair.org/conferences/?conf=lakdatachallenge2014) for
all submissions.
EVALUATION
----------
There will be a light review by members of the challenge committee to
pre-select submissions for presentation. During the LAK conference and
based on the presentations, the challenge winner(s) will be identified
based on votes by the audience and the committee.
PUBLICATION, PRESENTATION & AWARDS
----------------------------------
Accepted submissions will be published in online proceedings and
presented during an interactive LAK Data workshop collocated with the
LAK 2014 conference in Indianapolis, Indiana (US). The three best papers
of each workshop will be invited to a Special Issue in the Journal for
Learning Analytics. In addition, there will be awards for the winning
submissions with very cool prizes (further details to be announced)!
CHALLENGE COMMITTEE
-------------------
- Mathieu D'Aquin (The Open University, United Kingdom)
- Stefan Dietze (L3S Research Center, Germany)
- Hendrik Drachsler (Open Universiteit Nederland, Netherlands)
- Eelco Herder (L3S Research Center, Germany)
- Davide Taibi (Institute for Educational Technologies CNR, Italy)
CONTACT
--------
lakdatachallenge2014@easychair.org<mailto:lakdatachallenge2014@easychair.org>
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