The 3rd LAK data competition
Authors: 
Hendrik Drachsler, Stefan Dietze, Eelco Herder, Mathieu d'Aquin, Davide Taibi, and Maren ScheffelAuthors Info & Claims
Hendrik Drachsler, Stefan Dietze, Eelco Herder, Mathieu d'Aquin, Davide Taibi, and Maren ScheffelAuthors Info & ClaimsMarch 2015
Pages 396 - 397
Abstract
The LAK Data Challenge 2015 continues the research efforts of the previous data competitions in 2013 and 2014 by stimulating research on the evolving fields Learning Analytics (LA) and Educational Data Mining (EDM). Building on a series of activities of the LinkedUp project, the challenge aims to generate new insights and analysis on the LA & EDM disciplines and is supported through the LAK Dataset - a unique corpus of LA & EDM literature, exposed in structured and machine-readable formats.
References
[1]
Verbert, K., Manouselis, N., Drachsler, H., & Duval, E. (2012). Dataset-Driven Research to Support Learning and Knowledge Analytics. Educational Technology & Society, 15 (3), 133--148.
[2]
T. Heath and C. Bizer (2011). Linked Data: Evolving the Web into a Global Data Space. Synthesis Lectures on the Semantic Web: Theory and Technology. Morgan & Claypool.
[3]
Taibi, D. and Dietze, S. (2013). Fostering Analytics on Learning Analytics Research: the LAK Dataset. CEUR WS Proceedings Vol. 974, Proceedings of the LAK Data Challenge.
[4]
d'Aquin, M., Adamou, A., Dietze, S., Assessing the Educational Linked Data Landscape, ACM Web Science 2013 (WebSci2013), Paris, France, May 2013.
[5]
d'Aquin, M., Dietze, S., Drachsler, H., Taibi, D. (2014). Using linked data in learning analytics. eLearning Papers, Nr. 36, ISSN: 1887--1542.
[6]
Nunes, B. P., Fetahu, B., Dietze, S., Casanova, M. A., Cite4Me: A Semantic Search and Retrieval Web Application for Scientific Publications, 12th International Semantic Web Conference (ISWC2013), Sydney, Australia, (2013).
[7]
Maturana, R. A., Alvarado, M. E. López-Sola, S., Ibáñez, M. J., & Ruiz Elósegui, L., (2013). Linked Data based applications for Learning Analytics Research. CEUR WS Proceedings of the LAK Data Challenge, Vol. 974.
[8]
Zouaq, Amal, Srećko Joksimović, and Dragan Gašević. (2013). Ontology Learning to Analyze Research Trends in Learning Analytics Publications. CEUR WS Proceedings of the LAK Data Challenge Vol. 974.
[9]
Drachsler, H., Stoyanov, S., d'Aquin, M., Herder, E., Dietze, S., & Guy, M. (2014, 16--19 September). An Evaluation Framework for Data Competitions in TEL. Paper presented at the 9th European Conference on Technology-Enhanced Learning (EC-TEL 2014), Graz, Austria.
Index Terms
- The 3rd LAK data competition
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Information & Contributors
Information
Published In
March 2015
448 pages
ISBN:9781450334174
DOI:10.1145/2723576
- Conference Chairs:
- Josh Baron,
- Grace Lynch,
- Nicole Maziarz,
- Program Chairs:
- Paulo Blikstein,
- Agathe Merceron,
- George Siemens
Copyright © 2015 Owner/Author.
Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.
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Association for Computing Machinery
New York, NY, United States
Publication History
Published: 16 March 2015
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- Tutorial
Conference
LAK '15
LAK '15: the 5th International Learning Analytics and Knowledge Conference
March 16 - 20, 2015
New York, Poughkeepsie
Acceptance Rates
LAK '15 Paper Acceptance Rate 20 of 74 submissions, 27%;
Overall Acceptance Rate 236 of 782 submissions, 30%
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