Christopher Brooks

4439 North Quad
Assistant Professor of Information, School of Information


I am a Research Assistant Professor in the School of Information and Director of Learning Analytics and Research in the Office of Digital Education & Innovation at the University of Michigan. I work with colleagues to design tools to better the teaching and learning experience in higher education. My particular research focus is on understanding how learning analytics can be applied to human computer interaction through educational data mining, machine learning, and information visualization.

For a list of publications, please see my webpage at

Areas of interest

I work with students and other researchers to better understand a number of phenomena, including:

1. Educational Discourse, both in traditional on-campus cohorts and Massive Open Online Courses (MOOCs). My interest in educational discourse stems from early involvement in the I-Help peer tutoring system, and now focuses on how the nature of discourse changes in different online environments. This work is funded in part by the NSF.

2. Lecture Capture Impact, and how lecture capture tools are used by students to achieve academic success. Much of my previous research in this area focused on clustering based on student usage of the Opencast Matterhorn open-source lecture capture system (which I am a committer on) in second year STEM courses. I am particularly interested in large lecture capture usage datasets and how the use of annotation tools impact student outcomes.

3. Predicting the Academic Success of Students, through semi-automated learning of models based on student interactions with e-learning systems instead of the use of domain, pedagogy, or content specific modelling approaches. I am particularly interested in contrasting this with more traditional methods of learning analytics which are demographic in nature.

4. Massive Open Online Courses, and understanding how alumni and students in traditional higher education use these systems to augment their education. This work is supported in part by the USE Lab and the University of Michigan office of Digital Education and Innovation, and I maintain an open repository of tools available for researchers who are doing analysis on the Coursera MOOC platform. I am actively looking for students who want to contribute to this work.

For a list of publications, please see my webpage at

Research Projects