Next steps in Learning Analytics
In summer 2019 EUR students, lecturers, researchers and policy advisors gathered to think and talk about learning analytics and its meaning for the EUR. A lot has happened since then, and we would like to involve you in this.
What does it mean?
When we talk about Learning Analytics, we mean using all sorts of educational data in order to improve education. Examples are as broad as predicting the enrolment of new students in a next academic year or enabling personalised learning through a digital coach that helps you in goalsetting during your studies.
Why do we need it?
By using Learning Analytics, we can contribute to future-oriented education, one of the seven pillars in the EUR strategy 2024. We can improve education by:
- giving students insight in their learning process and by advising students to improve their learning process
- giving lecturers/researchers and policy makers more insight in their educational process and by advising them in this
- Improving enrolment, progression and graduation of students by using anonymized internal and external data.
How are we approaching this?
A combined taskforce of the Chief Information Office (CIO) and the Community for Learning & Innovation (CLI) is undertaking several projects deriving from the input that the EUR students, researchers/lecturers and policy advisors gave last summer. Visit our web page to learn more about these projects.
What about my privacy?
We treat your privacy with the utmost respect. We have set up a Privacy & Ethics Board to discuss whether we’re steering the right (ethical) course and to advise us on privacy measures to take, such as using anonymized data where we can.