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Christopher Brooks

Christopher Brooks

Assistant Professor of Information, School of Information Email: brooksch@umich.edu Phone:
Office: School of Information/4439 North Quad Faculty Role: Faculty Potential PhD Faculty Advisor: Yes Personal website Lab website

Biography

Christopher Brooks is an Assistant Professor at the University of Michigan and is an applied Computer Scientist who builds and studies the effects of educational technologies in higher education and informal learning environments. Dr. Brooks has a particular domain focus on data science education and methodological interests in predictive modeling, learning analytics, and collaborative learning. He has published widely in the areas of educational technologies and human computer interaction, and has been awarded several best papers (LAK, AIED, CHI, CSCW) with collaborators. In the School of Information he directs the activities of the educational technology collective (etc), a group of postdoctoral scholars, graduate students, undergraduate students, and other collaborators. Dr. Brooks teaches in applied Data Science, in both the undergraduate and graduate levels, as well as on the Coursera massive open online learning platform.

Areas of interest

Educational Data Mining, Learning Analytics, Artificial Intelligence in Education, Data Science Education

News

MADS students Stacey Bruestle, Stephen Ontko, David Hernandez and Daniel Best holding to-go coffees outside a coffee shop
MADS students and faculty build thriving online community

Online degree programs don’t have to be lonely. Students and faculty in the University of Michigan School of Information’s fully online Master of Applied Data Science have built a supportive network centered on open communication and collaboration.

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Abstract digital illustration of a human figure comprised of variously sized nodes connected by straight lines of differing length. The figure is poised to kick a soccer ball illustrated in the same style. The background is plain yellow.
New Intro to Sports Analytics elective brings competitive edge to UMSI Master of Applied Data Science curriculum

University of Michigan School of Information faculty responded to Master of Applied Data Science students’ desire for more opportunities to work with sports analytics. They started with a Twitch stream on the subject — now, it’s a fully fledged course offering.

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