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The learning analytics & knowledge (LAK) data challenge 2014

Published: 24 March 2014 Publication History

Abstract

The LAK Data Challenge 2014 continues the research efforts of the second edition 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, accessible under http://lak.linkededucation.org.

Cited By

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  • (2023)Towards more replicable content analysis for learning analyticsLAK23: 13th International Learning Analytics and Knowledge Conference10.1145/3576050.3576096(303-314)Online publication date: 13-Mar-2023
  • (2022)Where are the Large N Studies in Education?Proceedings of the Ninth ACM Conference on Learning @ Scale10.1145/3491140.3528315(461-465)Online publication date: 1-Jun-2022
  • (2021)Visualization and Dashboards: Challenges and Future DirectionsVisualizations and Dashboards for Learning Analytics10.1007/978-3-030-81222-5_27(585-597)Online publication date: 17-Dec-2021
  • Show More Cited By

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Information

Published In

cover image ACM Other conferences
LAK '14: Proceedings of the Fourth International Conference on Learning Analytics And Knowledge
March 2014
301 pages
ISBN:9781450326643
DOI:10.1145/2567574
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.

Sponsors

  • JNGI: John N. Gardner Institute for Excellence in Undergraduate Education
  • University of Wisc-Madison: University of Wisconsin-Madison
  • SoLAR: The Society for Learning Analytics Research
  • Purdue University: Purdue University

Publisher

Association for Computing Machinery

New York, NY, United States

Publication History

Published: 24 March 2014

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Author Tags

  1. data mining
  2. learning analytics
  3. linked data
  4. visualization

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  • Research-article

Conference

LAK '14
Sponsor:
  • JNGI
  • University of Wisc-Madison
  • SoLAR
  • Purdue University
LAK '14: Learning Analytics and Knowledge Conference 2014
March 24 - 28, 2014
Indiana, Indianapolis, USA

Acceptance Rates

LAK '14 Paper Acceptance Rate 13 of 44 submissions, 30%;
Overall Acceptance Rate 236 of 782 submissions, 30%

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Cited By

View all
  • (2023)Towards more replicable content analysis for learning analyticsLAK23: 13th International Learning Analytics and Knowledge Conference10.1145/3576050.3576096(303-314)Online publication date: 13-Mar-2023
  • (2022)Where are the Large N Studies in Education?Proceedings of the Ninth ACM Conference on Learning @ Scale10.1145/3491140.3528315(461-465)Online publication date: 1-Jun-2022
  • (2021)Visualization and Dashboards: Challenges and Future DirectionsVisualizations and Dashboards for Learning Analytics10.1007/978-3-030-81222-5_27(585-597)Online publication date: 17-Dec-2021
  • (2021)Visualizations and Dashboards for Learning Analytics: A Systematic Literature ReviewVisualizations and Dashboards for Learning Analytics10.1007/978-3-030-81222-5_1(3-22)Online publication date: 17-Dec-2021
  • (2020)Knowledge Hiding in Decision Trees for Learning Analytics ApplicationsAdvances in Core Computer Science-Based Technologies10.1007/978-3-030-41196-1_3(37-54)Online publication date: 19-Jun-2020
  • (2018)Building a Dataset for Personalized Learning Recommendation System2018 International Conference on Advances in Computing, Communications and Informatics (ICACCI)10.1109/ICACCI.2018.8554438(2080-2086)Online publication date: Sep-2018
  • (2017)Privacy-Preserving Learning AnalyticsIEEE Transactions on Learning Technologies10.1109/TLT.2016.260774710:1(68-81)Online publication date: 1-Jan-2017
  • (2017)Enabling Mobile and Wireless Technologies for Smart CitiesIEEE Communications Magazine10.1109/MCOM.2017.787685055:3(12-13)Online publication date: 1-Mar-2017
  • (2015)VISLAProceedings of the Fifth International Conference on Learning Analytics And Knowledge10.1145/2723576.2723643(394-395)Online publication date: 16-Mar-2015
  • (2015)Visualization Improvement in Learning Analytics Using Semantic EnrichmentState-of-the-Art and Future Directions of Smart Learning10.1007/978-981-287-868-7_58(493-503)Online publication date: 27-Oct-2015

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