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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

Woman at computer
Women, Black students may opt out of sharing learning data, if given choice

A new study from UMSI researchers shows that giving students an opt-out option may skew the data, biasing it against the people institutions most want to help.

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Michelle LeBlanc
Michelle LeBlanc launches data science career identifying fraud, waste and abuse in healthcare industry

From dental hygienist to healthcare administrator to data scientist, recent MADS grad Michelle LeBlanc has undergone tremendous skill growth to land her first data science position fresh out of the program.

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