Big Data: Value and Risks for Higher Ed

Student data analytics in higher education have the potential to improve student learning and degree completion. Despite this promise, we have not yet developed the consistent standards, infrastructure, or governance to ensure that these potential benefits are realized, that they are equitably distributed, and that they are not swamped by the real risks of misuse. This panel will explore from diverse vantage points the appropriate uses and limits on big data in higher education.

Learning Objectives

  1. Understand the major points of disagreement in the debate over using big data to support student learning and other outcomes.
  2. Be able to articulate in a well-informed way the key arguments on either side of the debate over using student data analytics.
  3. Be able to apply ethical considerations regarding student data use to your own context as a higher education institution, vendor, student or parent.

Speakers

Organizer

Heidi McGregor, VP of Communications, ITHAKA


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