The widespread adoption of Learning Analytics (LA) and Educational Data Mining (EDM) has somewhat stagnated recently, and in some prominent cases like the inBloom disaster even been reversed following concerns by governments, stakeholders and civil rights groups.
In this ongoing discussion, fears and realities are often indistinguishably mixed up, leading to an atmosphere of uncertainty among potential beneficiaries of Learning Analytics, as well as hesitations among institutional managers who aim to innovate their institution’s learning support by implementing data and analytics with a view on improving student success.
The LACE project conducted a series of Expert Workshops on Ethics and Privacy for Learning Analytics (#EP4LA) on the topic to get to the heart of the matter, by analysing the most common views and the propositions made by the LA community to solve them.
Within LACE, an eight-point checklist named DELICATE has been developed that can be applied by teachers, researchers, policy makers and institutional managers to facilitate a trusted implementation of Learning Analytics.
The eight points are [It can be downloaded here LINK]:
1. D-etermination: Decide on the purpose of learning analytics for your institution.
2. E-xplain: Define the scope of data collection and usage.
3. L-egitimate: Explain how you operate within the legal frameworks, refer to the essential legislation.
4. I-nvolve: Talk to stakeholders and give assurances about the data distribution and use.
5. C-onsent: Seek consent through clear consent questions.
6. A-nonymise: De-identify individuals as much as possible
7. T-echnical aspects: Monitor who has access to data, especially in areas with high staff turn-over.
8. E-xternal partners: Make sure externals provide highest data security standards.