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

School of Computing and Information systems

Research output: Chapter in Book/Report/Conference proceeding › Published Conference contribution › peer-review

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
Pages	21-22
Number of pages	2
DOIs	https://doi.org/10.1145/2330601.2330614
Publication status	Published - 2012
Event	2nd International Conference on Learning Analytics and Knowledge, LAK 2012 - Vancouver, BC, Canada Duration: 29 Apr. 2012 → 2 May 2012

Publication series

Name	ACM International Conference Proceeding Series

Conference

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

Keywords

ethics
learning analytics

Access to Document

10.1145/2330601.2330614

Cite this

@inproceedings{f7356dda811a4dfab58d312d6171a232,

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.",

keywords = "ethics, learning analytics",

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",

series = "ACM International Conference Proceeding Series",

pages = "21--22",

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

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. ACM International Conference Proceeding Series, 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 et al.
LAK 2012 - Proceedings of the 2nd International Conference on Learning Analytics and Knowledge. 2012. p. 21-22 (ACM International Conference Proceeding Series).

Research output: Chapter in Book/Report/Conference proceeding › Published Conference contribution › peer-review

TY - GEN

T1 - Building a data governance model for learning analytics

AU - Graf, Sabine

AU - Ives, Cindy

AU - Lockyer, Lori

AU - Hobson, Paul

AU - Clow, Doug

PY - 2012

Y1 - 2012

N2 - 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.

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.

KW - ethics

KW - learning analytics

UR - http://www.scopus.com/inward/record.url?scp=84864683911&partnerID=8YFLogxK

U2 - 10.1145/2330601.2330614

DO - 10.1145/2330601.2330614

M3 - Published Conference contribution

AN - SCOPUS:84864683911

SN - 9781450311113

T3 - ACM International Conference Proceeding Series

SP - 21

EP - 22

BT - LAK 2012 - Proceedings of the 2nd International Conference on Learning Analytics and Knowledge

T2 - 2nd International Conference on Learning Analytics and Knowledge, LAK 2012

Y2 - 29 April 2012 through 2 May 2012

ER -

Building a data governance model for learning analytics

Abstract

Publication series

Conference

Keywords

Access to Document

Other files and links

Fingerprint

Cite this