GradeR is a gradebook analytics application designed to work with gradebooks exported from the Canvas learning management system. The intent is to provide instructors with a tool that quickly generates statistical summaries and visualizations of gradebook data in order to better guide and evaluate their teaching.
Core functions of GradeR include:
- Class enrollment
- Statistical summaries for assessments
- Visual summaries for assessments
- Individual student performance
- Cross-term analysis for up to 3 gradebooks
- Final grade assignment
GradeR works exclusively with gradebooks generated by the Canvas LMS. Specifically, it uses the
.csv exported gradebook from your course. Please watch our YouTube tutorial videos for instructions.
GradeR is intended to give instructors a snapshot of performance in their courses. GradeR is secure and does not store, record, or transmit data of any kind.
Joel Ledford, Plant Biology, UC Davis
Katie Ransom, Land Air and Water Resources, UC Davis
Geoff Benn, Plant Biology, UC Davis
Marc Facciotti, Biomedical Engineering, UC Davis
Susan Keen, Evolution and Ecology, UC Davis
Development of GradeR is funded by the Howard Hughes Medical Institute (Facciotti) and the department of Plant Biology (Ledford).
Please cite this app
Ledford, JM, Ransom, K. 2019. GradeR: Gradebook Analysis Application. https://grader.plb.ucdavis.edu/