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