Databite No. 66: Elana Zeide

Student Privacy & Big Data

01.21.16 - 12:00 pm

Data & Society
36 West 20th Street, 11th Floor
New York, NY, 10011

Databites are Data & Society's weekly lunch conversations focused on unresolved questions and timely topics of interest to our community. RSVP required. To request an invitation, please email events at data society dot net.

Elana Zeide (@elanazeide) on Student Privacy & Big Data: The Status Quo, Implications & Considerations:

With the rise of online learning environments, student records are no longer just basic academic and administrative information, but include data and metadata generated from student interaction with digital platforms as well as unexpected sources like student ID badges and social media. Applying big data analytics to this wealth of information has the potential to revolutionize education, but also risks unintended consequences that affect the core values of the education system as well as civil rights and liberties.

The current student privacy regulatory regime does not address the issues raised by modern information technology and data-driven decision-making in education.  This presentation highlights key issues of the student privacy debate, proposed reforms, and emerging legal and ethical issues, as well as implications of data-driven education environments and decision-making that extend far beyond school settings.

Selected background readings:

Elana Zeide is an attorney, consultant, and scholar focusing on student privacy, data-driven education, and algorithmic assessment and credentialing. She is a Research Fellow at New York University’s Information Law Institute, an Affiliate of the Data & Society Research Institute, and an Advisory Board member of the Future of Privacy Forum and iKeepSafe. She writes for both popular and academic publications, recently including “Algorithms Can Be Lousy Fortunetellers” on Slate, “Moving Beyond FERPA and FIPPs: Student Privacy Principles for the Age of Big Data” forthcoming in the Drexel Law Review, and “Unpacking Student Privacy” in the upcoming Handbook of Learning Analytics & Educational Data Mining.

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