Building a data governance model for learning analytics

Sabine Graf; Cindy Ives; Lori Lockyer; Paul Hobson; Doug Clow

doi:10.1145/2330601.2330614

Building a data governance model for learning analytics

Sabine Graf^*, Cindy Ives, Lori Lockyer, Paul Hobson, Doug Clow

^*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceeding › Conference proceeding contribution

4 Citations (Scopus)

Abstract

This international panel presentation aims to explore and discuss the issues that emerge when an educational institution decides to develop learning analytics initiatives. While learning analytics may provide data that lead to improvements in the quality of teaching and learning design, and therefore has the potential to enhance the overall quality of education, the successful development and implementation of tools and processes for learning analytics are complex and problematic. In this panel, data governance considerations will be discussed from organizational, ethical, learning design, and technical points of view.

Original language	English
Title of host publication	LAK 2012 - Proceedings of the 2nd International Conference on Learning Analytics and Knowledge
Place of Publication	New York
Publisher	Association for Computing Machinery
Pages	21-22
Number of pages	2
ISBN (Print)	9781450311113
DOIs	https://doi.org/10.1145/2330601.2330614
Publication status	Published - 2012
Externally published	Yes
Event	2nd International Conference on Learning Analytics and Knowledge, LAK 2012 - Vancouver, BC, Canada Duration: 29 Apr 2012 → 2 May 2012

Other

Other	2nd International Conference on Learning Analytics and Knowledge, LAK 2012
Country/Territory	Canada
City	Vancouver, BC
Period	29/04/12 → 2/05/12

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10.1145/2330601.2330614

Cite this

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title = "Building a data governance model for learning analytics",

abstract = "This international panel presentation aims to explore and discuss the issues that emerge when an educational institution decides to develop learning analytics initiatives. While learning analytics may provide data that lead to improvements in the quality of teaching and learning design, and therefore has the potential to enhance the overall quality of education, the successful development and implementation of tools and processes for learning analytics are complex and problematic. In this panel, data governance considerations will be discussed from organizational, ethical, learning design, and technical points of view.",

author = "Sabine Graf and Cindy Ives and Lori Lockyer and Paul Hobson and Doug Clow",

year = "2012",

doi = "10.1145/2330601.2330614",

language = "English",

isbn = "9781450311113",

pages = "21--22",

booktitle = "LAK 2012 - Proceedings of the 2nd International Conference on Learning Analytics and Knowledge",

publisher = "Association for Computing Machinery",

note = "2nd International Conference on Learning Analytics and Knowledge, LAK 2012 ; Conference date: 29-04-2012 Through 02-05-2012",

}

Graf, S, Ives, C, Lockyer, L, Hobson, P & Clow, D 2012, Building a data governance model for learning analytics. in LAK 2012 - Proceedings of the 2nd International Conference on Learning Analytics and Knowledge. Association for Computing Machinery, New York, pp. 21-22, 2nd International Conference on Learning Analytics and Knowledge, LAK 2012, Vancouver, BC, Canada, 29/04/12. https://doi.org/10.1145/2330601.2330614

Building a data governance model for learning analytics. / Graf, Sabine; Ives, Cindy; Lockyer, Lori; Hobson, Paul; Clow, Doug.

LAK 2012 - Proceedings of the 2nd International Conference on Learning Analytics and Knowledge. New York : Association for Computing Machinery, 2012. p. 21-22.

Research output: Chapter in Book/Report/Conference proceeding › Conference proceeding contribution

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AB - This international panel presentation aims to explore and discuss the issues that emerge when an educational institution decides to develop learning analytics initiatives. While learning analytics may provide data that lead to improvements in the quality of teaching and learning design, and therefore has the potential to enhance the overall quality of education, the successful development and implementation of tools and processes for learning analytics are complex and problematic. In this panel, data governance considerations will be discussed from organizational, ethical, learning design, and technical points of view.

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CY - New York

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Y2 - 29 April 2012 through 2 May 2012

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Building a data governance model for learning analytics

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