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 LAK 2014 conference in Indianapolis, Indiana (US) in March 2014.
There was a very good response to the LAK Data Challenge 2014 and the proceedings are now published. The winners are:
- 1st Prize: Mike Sharkey, Mohammed Ansari
Deconstruct and Reconstruct: Using Topic Modeling on an Analytics Corpus.
- 2nd Prize: Yingjie Hu, Grant McKenzie, Jiue-An Yang, Song Gao, Amin Abdalla, Krzysztof Janowicz
A Linked-Data-Driven Web Portal for Learning Analytics: Data Enrichment, Interactive Visualization, and Knowledge Discovery
- 3rd Prize: Maren Scheffel, Katja Niemann, Sarah Leon Rojas
Spiral me to the core: Getting a visual grasp on text corpora through clusters and keywords
- 4th Prize: Giseli Rabello Lopes, Luiz André P. Paes Leme, Bernardo Pereira Nunes, Marco A. Casanova
RecLAK: Analysis and Recommendation of Interlinking Datasets
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:
- 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
Each submission should be accompanied by a 2-4 page paper (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.
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 2014 conference in Indianapolis, Indiana (US) as well as a special award ceremony during the main conference track. 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)!
20th31st January, 2014: extended submission deadline 3rd7th February, 2014: notification deadline
- 24-28 March, 2014: LAK2014 Conference.
- 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)