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CIRSS Seminar - Egalitarian data mining: Considerations and methods for online education environments


Friday, March 9, 2018
4pm - 5pm

126 IS

Event Details

Session leaders: Nigel Bosch, NCSA Post-doctoral Research Fellow.
Description: Online and computer-based education continues to grow in popularity. Along with this trend come new sources of data, which offer exciting opportunities to understand learners’ experiences and behaviors at a massive scale. However, there is also a risk of developing analytical methods and educational software that subtly reinforce biases hidden in these new data. This talk discusses one study analyzing the online learning behaviors of students from groups traditionally underrepresented in science, and a second study about machine learning methods that are designed to counteract biases in these types of data.

Bio:
Nigel Bosch is a postdoctoral researcher at the National Center for Supercomputing Applications. His research utilizes data mining and machine learning techniques to understand human experiences including emotion, cognition, and behavior. His current interests are especially focused on developing methods to model new forms of big data in online educational contexts, as well as studying the ethical implications of machine learning in these contexts.