Learning Analytics and the Academic Library: What are the
Intellectual Freedom and Informational Privacy Issues? Higher education institutions are increasingly looking to
mine student data in order to gain new, actionable insights into student
behaviors using learning analytics technologies. Purportedly, these insights
can help institutions improve student learning outcomes, increase student engagement,
decrease time-to-degree measures, and ameliorate graduation rates. While
on the face of it these aims are worthy of the resource expenditures necessary
to build capacity for and implement learning analytics practices, there are
serious serious threats to long-held values. Student privacy, academic and
intellectual freedom, and the trustworthy relationships necessary for
successful teaching and learning experiences are all affected by data mining
practices that dig into and expose intellectual and social behaviors
represented in a wide variety of data. This webinar will discuss the
on-the-ground practices of learning analytics, how learning analytics
specifically threatens these values, and why institutional actors–such as
faculty, librarians, and advisors–should take notice. Special emphasis will be
placed on particular concerns that arise when libraries participate in learning
analytics with relationship to ALA’s Code of Ethics.
Event Registration Page:
https://instlibrary.adobeconnect.com/analytics10112017/event/registration.html
Event Login Page: https://instlibrary.adobeconnect.com/analytics10112017/event/login.html
Presenter: Kyle Jones, (MLIS, PhD),Assistant Professor
Indiana University–Purdue University Indianapolis (IUPUI) School of Informatics and ComputingDepartment of Library and Information Science
This webinar is part of our new online training series, Topics in Academic Libraries
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