Speakers:
Steve Hoole, senior analytics consultant, Jisc
Karl Molden, senior planning analyst, University of Greenwich
An opportunity to find out about how an institution has been implementing learning analytics to support the student journey with and opportunity to discuss issues and possibilities that the use of learning analytics may create.
4. »“… the measurement, collection, analysis and reporting of data
about learners and their contexts, for purposes of
understanding and improving learning and the environments in
which it occurs…”
Learning analytics and knowledge conference, 2011
»At Greenwich we want to maximise student engagement so
that retention, achievement and employability are optimised
What is it?
Learning analytics
5. »Fits within a programme of work looking at factors affecting
student achievement:
› Teaching methods
› Value-added
› Commuter students
Wider context
Learning analytics
6. »Part of an ongoing process of developing the institution’s data
capabilities
› Data warehouse
› Automation of reporting
› Dashboards
› Analytics
Wider context – data/technology
Learning analytics
7. »Part of Jisc learning analytics network since 2015
»One of thirty institutions currently working on / looking at
implementing Jisc learning analytics solutions
»Part of smaller groups focussed on implementation in
September and also longer term developments
jisc.ac.uk/rd/projects/effective-learning-analytics
https://analytics.jiscinvolve.org/wp/
Wider context – Jisc project
Learning analytics
8. »Institutional readiness review
»Data analysis and prototyping to fit Jisc definitions
› Student data
› VLE
› Attendance
»Testing and trials of Jisc software with staff
»Feedback into Jisc development cycle
»Governance documentation
Project so far
Learning analytics
9. »Preparation for roll-out in September
› Finalisation of data connections
› Linking Greenwich systems to Jisc systems
› Training materials
› Communications package
› Pilot of student application
Current work
Learning analytics
10. »Assessment of success of September roll-out
»Library data
»Predictive modelling
»Bespoke analysis via data extracted through API
»Further work with Jisc – continuing to develop processes
and systems
The future
Learning analytics
11. »Senior management buy-in from outset
»Faculty staff kept up-to-date on progress
»Training of wider academics has begun
»Student union has been consulted at several points in project
»Student representation on project steering group
Staff/student engagement
Learning analytics
12. »Project board chaired by Deputy vice chancellor
»Reports into our IT strategy board
»Policy documents approved and published – based on
Jisc template
»Data security compliance
»GDPR
»Ethics
Governance
Learning analytics
13. »Maximising engagement with the system
»How to use the data to ‘nudge’ students?
»Monitoring success
»Moving from experimentation to implementation
»Supporting key staff involved in roll-out
»Getting the right staff on board
»Ethics
Challenges
Learning analytics
14. »Getting this to work is a long process!
»Needs a wide mix of staff involved and senior buy-in
»Need accurate data
»Wider academic/student community needs to support the
project aims
»Working as part of a community has great advantages
Lessons
Learning analytics
17. Except where otherwise noted, this work is licensed under CC-BY-NC-ND.
Karl Molden
Senior analyst – Planning & Statistics
k.molden@Greenwich.ac.uk
Thankyou