LAK Data Challenge 2014 launched

[Apologies for cross-posting]

*** ***
*** collocated with Learning Analytics & Knowledge 2014 ***

The LAK Dataset ( 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 
(, co-located with the Learning Analytics & 
Knowledge Conference 2014 conference in Indianapolis, Indiana (US) in 
March 2014.


- 20th January, 2014: submission deadline
- 3rd February, 2014: notification deadline
- 24-28 March, 2014: LAK2014 Conference.

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

Each submission should be accompanied by a 2-4 page paper (ACM format, 
see 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 
( for 
all submissions.

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.

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)!


- 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)


Received on Tuesday, 19 November 2013 13:31:56 UTC