Learning data typically contains student personal information which is classified as high risk data in the Security Classification of UBC Electronic Information. People working with learning data (also known as data consumers) are responsible for:
- Ensuring that the data they access is used for approved purposes only. There are conditions where a learning data request is required.
- Ensuring they understand the purpose and principles for learning analytics at UBC.
- Ensuring that they and anyone who will have access to the data, have completed privacy and information security training.
- Ensuring that data is stored and transmitted in accordance with UBC Information Security Standards.
- Complying with BC’s Freedom of Information and Protection of Privacy Act (FIPPA).
Practice Guidelines for Instructors
The Learning Analytics at UBC: Purpose and Principles outlined the following practice guidelines for instructors:
- Instructors who access data for learning analytics purposes and in the context of quality assurance should inform their students on the course syllabus.
- In order to reduce the potential for bias, instructors should not have access to demographic data about their students. Where this data would be useful to the analyses, these should be conducted at the Department / Program level and presented to the instructor as aggregate.