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.