Learning Analytics – The Importance of Meaning: Going Beyond Mixed Methods to Turn Big Data into Real Understanding
Noon-1pm, Union South (TITU)
In this age of Big Data, how do we keep from being overwhelmed by the sheer volume of traditional qualitative and quantitative data? How can we use statistical methods to support grounded inquiry into human behavior?
This session will focus on how to take a critical step in the field of learning analytics; moving beyond looking for patterns in mountains of data, and instead, telling textured stories at scale. David Williamson Shaffer from the School of Education and Wisconsin Center for Education Research (WCER), and keynote speaker at the international Learning Analytics and Knowledge Conference (LAK ‘18) in Australia, will lead the discussion.
Learn More and Register
This is the second in a series of learning analytics events co-sponsored by the Educational Innovation (EI) Initiative and DoIT Academic Technology. To learn more about upcoming events this semester, join the learning analytics listserv by emailing email@example.com.
If you have questions, please email firstname.lastname@example.org.