The 3rd LAK data competition

Hendrik Drachsler; Stefan Dietze; Eelco Herder; Mathieu d'Aquin; Davide Taibi; Maren Scheffel

doi:10.1145/2723576.2723641

The 3rd LAK data competition

Hendrik Drachsler, Stefan Dietze, Eelco Herder, Mathieu d'Aquin, Davide Taibi, Maren Scheffel

Research output: Chapter in Book/Report/Conference proceeding › Conference Article in proceeding › Academic › peer-review

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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.

Original language	English
Title of host publication	LAK'15 Proceedings of the Fifth International Conference on Learning Analytics And Knowledge
Place of Publication	New York, NY, USA
Publisher	Association for Computing Machinery (ACM)
Pages	396-397
Number of pages	2
ISBN (Print)	978-1-4503-3417-4
DOIs	https://doi.org/10.1145/2723576.2723641
Publication status	Published - 2015
Event	The 5th International Learning Analytics and Knowledge (LAK) Conference: Scaling Up: Big Data to Big Impact - Marist College, Poughkeepsie, United States Duration: 16 Mar 2015 → 20 Mar 2015 Conference number: 5 http://lak15.solaresearch.org/home

Conference

Conference	The 5th International Learning Analytics and Knowledge (LAK) Conference
Abbreviated title	LAK'15
Country/Territory	United States
City	Poughkeepsie
Period	16/03/15 → 20/03/15
Internet address	http://lak15.solaresearch.org/home

Keywords

learning analytics
data mining
linked data
visualisation

Access to Document

10.1145/2723576.2723641

LAK15_DATAwsSubmitted manuscript, 1.07 MB

Cite this

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title = "The 3rd LAK data competition",

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.",

keywords = "learning analytics, data mining, linked data, visualisation",

author = "Hendrik Drachsler and Stefan Dietze and Eelco Herder and Mathieu d'Aquin and Davide Taibi and Maren Scheffel",

year = "2015",

doi = "10.1145/2723576.2723641",

language = "English",

isbn = "978-1-4503-3417-4",

pages = "396--397",

booktitle = "LAK'15 Proceedings of the Fifth International Conference on Learning Analytics And Knowledge",

publisher = "Association for Computing Machinery (ACM)",

address = "United States",

note = "The 5th International Learning Analytics and Knowledge (LAK) Conference : Scaling Up: Big Data to Big Impact, LAK'15 ; Conference date: 16-03-2015 Through 20-03-2015",

url = "http://lak15.solaresearch.org/home",

}

Drachsler, H, Dietze, S, Herder, E, d'Aquin, M, Taibi, D & Scheffel, M 2015, The 3rd LAK data competition. in LAK'15 Proceedings of the Fifth International Conference on Learning Analytics And Knowledge. Association for Computing Machinery (ACM), New York, NY, USA, pp. 396-397, The 5th International Learning Analytics and Knowledge (LAK) Conference, Poughkeepsie, New York, United States, 16/03/15. https://doi.org/10.1145/2723576.2723641

The 3rd LAK data competition. / Drachsler, Hendrik; Dietze, Stefan; Herder, Eelco et al.
LAK'15 Proceedings of the Fifth International Conference on Learning Analytics And Knowledge. New York, NY, USA: Association for Computing Machinery (ACM), 2015. p. 396-397.

Research output: Chapter in Book/Report/Conference proceeding › Conference Article in proceeding › Academic › peer-review

TY - GEN

T1 - The 3rd LAK data competition

AU - Drachsler, Hendrik

AU - Dietze, Stefan

AU - Herder, Eelco

AU - d'Aquin, Mathieu

AU - Taibi, Davide

AU - Scheffel, Maren

N1 - Conference code: 5

PY - 2015

Y1 - 2015

N2 - 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.

AB - 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.

KW - learning analytics

KW - data mining

KW - linked data

KW - visualisation

U2 - 10.1145/2723576.2723641

DO - 10.1145/2723576.2723641

M3 - Conference Article in proceeding

SN - 978-1-4503-3417-4

SP - 396

EP - 397

BT - LAK'15 Proceedings of the Fifth International Conference on Learning Analytics And Knowledge

PB - Association for Computing Machinery (ACM)

CY - New York, NY, USA

T2 - The 5th International Learning Analytics and Knowledge (LAK) Conference

Y2 - 16 March 2015 through 20 March 2015

ER -

The 3rd LAK data competition

Abstract

Conference

Keywords

Access to Document

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Cite this