Critical Factors In Data Governance For Learning Analytics

Authors

  • Noureddine Elouazizi 1. Faculty of Science’s Teaching and Learning Center, University of British Columbia 2. Center for Teaching and Learning Technologies, University of British Columbia 3. Department of Linguistics, Simon Fraser University

DOI:

https://doi.org/10.18608/jla.2014.13.25

Keywords:

Learning analytics, data governance, hot spot

Abstract

This paper identifies some of the main challenges of data governance modeling in the context of learning analytics for higher education institutions, and discusses the critical factors for designing data governance models for learning analytics. It identifies three fundamental common challenges that cut across any learning analytics data governance model, viz., the ownership of the learning analytics data sets, its interpretation and the enacting of decision-making on the basis of this learning analytics data. It also proposes a set of high-level requirements that are necessary for modeling data governance for learning analytics.

 

Author Biography

Noureddine Elouazizi, 1. Faculty of Science’s Teaching and Learning Center, University of British Columbia 2. Center for Teaching and Learning Technologies, University of British Columbia 3. Department of Linguistics, Simon Fraser University

Currently, I hold the position of Strategist, Teaching and Learning Technologies at the University of British Columbia, and I am doubly affiliated with the Faculty of Science’s Teaching and Learning Center and with the Center for Teaching and Learning Technologies.

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Published

2014-08-07

How to Cite

Elouazizi, N. (2014). Critical Factors In Data Governance For Learning Analytics. Journal of Learning Analytics, 1(3), 211-222. https://doi.org/10.18608/jla.2014.13.25

Issue

Vol. 1 No. 3 (2014): Widening the Field and Sparks of the Future

Section

Hot Spot Papers

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