The C-ALT Learning Analytics Fellows Program is a community of scholars actively engaged in conducting research to further student achievement and success at the University. The Program is open to all CSU faculty and staff. Fellows receive a research stipend, plus, access to a secure workstation for retrieving and exploring data and using a variety of analysis and data visualization packages. In addition, Fellows are supported by TILT instructional designers, learning analytics experts and data scientists from C-ALT, Research and Analytics (RA), and Institutional Research (IR).

If you are interested in becoming a C-ALT Research Fellow please complete the online application.

The following C-ALT Research Fellows are faculty who have been recognized for their leadership in analytics-based research on teaching and learning.

Mary Pilgrim is an Assistant Professor of Mathematics. Mary is recognized as a C-ALT Fellow for her innovative work to detect self-regulated student behaviors within Calculus I (Math 160).

Karen Gebhardt is an Assistant Professor of Economics. Karen is recognized as a C-ALT Fellow for her innovative work to predict student disengagement and implement effective interventions in courses in the Economics Online Program.

Tim Amidon

Tim Amidon is an Assistant Professor of English. Tim is recognized as a C-ALT Fellow for leading a pilot of Eli Review in the Composition Program. Students and instructors participating in the pilot are using descriptive analytics to shape their practice as teachers and learners of writing. In particular, students are using descriptive data to heighten peer-learning and increase reflection, while teachers are examining how these data might be used to help scaffold the process of teaching students how to review and provide high-quality feedback on peer writing.