Dr. Christopher Brooks

Biography

Christopher Brooks is an Associate Professor at the University of Michigan's School of Information, where he is engaged in applied computer science and the study of educational technologies in both higher education and informal learning environments. His research focuses on data science education and includes methodological interests in predictive modeling, learning analytics, and collaborative learning. Brooks has published numerous papers in the fields of educational technologies and human-computer interaction, notably in prestigious venues such as the Learning Analytics and Knowledge (LAK), Artificial Intelligence in Education (AIED), Computer-Human Interaction (CHI), and Computer Supported Cooperative Work (CSCW) conferences. He leads the Educational Technology Collective, a group of postdoctoral researchers, graduate, and undergraduate students and collaborators at the School of Information. Additionally, he actively teaches applied Data Science courses at both the undergraduate and graduate levels and has contributed to the Coursera massive open online learning platform. His areas of interest include Educational Data Mining, Learning Analytics, Artificial Intelligence in Education, and Data Science Education.

Research Interests