Critical Factors In Data Governance For Learning Analytics

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.