Learning Data Principles


UC Berkeley and the UC System are examining the role of Learning Data Principles as schools continue to embrace policies, systems, and, technologies that collect data across the teaching and learning landscape. This project hopes to ensure the best practices around collection and use of data including application of and privacy and retention of data. The discussion of learning data is an extension of UC Privacy Values standards(link is external).

Learning Data includes teaching/learning-related content created by students or instructors including: slides, videos, assessments, discussion prompts, and more. Data is collected through both human managed process (manual grading, exams) and automatically through systems such as web-based Learning Management Systems. Data can be highly individualized tracking a student through a specific term/course or at a meta-level examining large subsets of students or the entire student body population. Additional information around the foundation of the Learning Data Principles discussion can be found in this Educause article(link is external) written by key partners across the UC System.


  • Set campus-wide principles for learning data privacy, use, and applications
  • Share standards across the UC System
  • Create a set of standards to be used in contract negotiations with potential technology vendors


  • Catherine Koshland, Vice Chancellor for Undergraduate Education
  • Jenn Stringer, Chief Academic Technology Officer and Assistant Vice Chancellor for Teaching and Learning


  • Summer 2017: Developed by the Educational Technology Leadership Committee (ETLC)
  • October 2017: Supported by the IT Leadership Committee (ITLC) [10.23.17]
  • November 2017: Supported by the University Committee on Academic Computing and Communications (UCACC) [11.06.17]
  • March 2018: Approved by the University of California Office of the President


Learning Data Principles for University of Californian (system wide) 

Finalized March 2018