Developing Learning Analytics at the Institutional Level: Perspectives and Challenges

As analytics for and of learning continue to become more applicable to a larger range of educational and institutional settings, the adoption of such tools and methods by institutions will inevitably increase. However, this increased application of institutional, learner, and learning data for decision making will depend on the particular contexts in which these tools and applications are developed. This session will explore the initial development of learning analytics initiatives at Indiana University at an institutional level. Obstacles and challenges are explored and principles proposed for further design and development of learning analytic practices.

Outcomes: identify the affordances and constraints of systemic analyses of institutional data for analytics initiatives *Engage with emerging analytics communities and technologies *Discuss the emerging goals of the educational data sciences