LAK Data Challenge 2015

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 with $750 by the Society of Learning Analytics (SoLAR) and co-located with the  LAK 2015 conference in Marist College, Poughkeepsie, NY (US) in March 2015.

The LAK Data Challenge Workshop 2015 is organised by the LAK Dataset & Challenge team together with the LACE project, building on the previous editions of the LAK Data Challenge, to stimulate research on the evolving fields of Learning Analytics (LA) and  Educational Data Mining (EDM).

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Challenge Objectives

What do analytics on learning analytics tell us? How can we make sense of this emerging field’s 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:

  • Comparison of the LAK and EDM communities (e.g. research topics, changes over time, etc.).
  • 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 LAK discipline
  • Improvement or enrichment of the LAK Dataset

Submission Format

Each submission should be accompanied by a paper of up to 4 pages (ACM format) 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.


Since the LAK Dataset is the result of several individuals and organisations, we would like to ask all user of the dataset to include the following acknowledgements in your papers referring to the LAK Dataset:


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 by the Challenge Committee.

Publication, Presentation and Awards

Accepted submissions will be published in online proceedings and presented during an interactive LAK Data workshop collocated with LAK 2015 conference in Marist College, NY (US). Selected papers will be invited to a Special Issue in the Journal for Learning Analytics. In addition, there will be cash price awards for the winning submissions of the Challenge.

Important Dates

  • 31st January, 2015:  submission deadline
  • 7th February, 2015: notification deadline
  • 16-20 March, 2015: LAK2015 Conference.

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)

Workshop Committee

  • Hendrik Drachsler (Open Universiteit Nederland, Netherlands)
  • Maren Scheffel (Open Universiteit Nederland, Netherlands)
  • Tore Hoel (Oslo and Akershus University College of Applied Sciences, NO)
  • Adam Cooper (University of Bolton, UK)