By Laini Byfield
Jisc learning analytics code
A practical code of practice that generalizes well to small data programs that monitor participation or outcomes.
TransparencyResponsibilitiesParticipant impact
Why it is relevant beyond education
Learning analytics governance is one of the few mature domains for ethical monitoring in small populations. The Jisc code of practice is useful whenever you are tracking participation, eligibility, or engagement at the individual level.
What to borrow
- Clear purpose statements and defined boundaries for data use
- Transparency about what is collected and how it is used
- Defined roles and responsibilities for data stewardship
- Processes for challenge and support when data flags someone negatively
Reference: Jisc, Code of practice for learning analytics.
How it fits Small Data Ethics
Small Data Ethics uses these governance patterns and extends them to incentives and operational pipelines, where error handling and appeals are core design features — not exceptions added after the fact.