Student Privacy Self-Management: Implications For Learning Analytics

Student Privacy Self-Management: Implications For Learning Analytics

This paper explores issues around consent and the seemingly simple choice to allow students to opt-in or opt-out of having their data tracked. We consider how 3 providers of massive open online courses (MOOCs) inform users of how their data is used, and discuss how higher education institutions can work toward an approach which engages and more fully informs students of the implications of learning analytics on their personal data.

Related Resources

  • Report

    Forum Guide to Data Governance

    Jul 20, 2020

    The purpose of this resource is to highlight how data governance programs benefit education agencies and provide timely and useful best practices, examples, an…

    Learn More
  • Report

    How States Use Data to Inform Decisions

    Jul 19, 2019

    While researchers have explored the use of administrative data in various areas of state government (for example, identifying frequent users of emergency servi…

    Learn More
  • Report

    Legal Issues for IDS Use: Finding a Way Forward

    Jul 17, 2019

    This paper offers practical insights to enable governmental agencies and other parties to developthe foundational legal documents for an IDS. The two primary f…

    Learn More