1. Learning Analytics Collaborative Cluster
Dr Ainsley Hainey

2. Year 1 Activity
Large appetite in sector evidenced from Launch Event and First Year Plans in Learning Analytics
Collaborative Cluster Expression of Interest submitted in December 2017
QAA funded 2 workshops – 27th February and 15th May
Three interns are also being kindly supported by QAA funding

3. February Workshop
Work collectively to identify pathways of work within the learning analytics field that will have sector-wide impact
20 representatives from 12 HEIs attended

4. May Workshop
Learning Analytics
Learning Analytics Framework
Engagement
Applications of Learning Analytics
Develop workstreams under the strands identified in February workshop to recommend further work to QAA in taking forward learning analytics
Funding for three student interns has also been awarded to support the work of the collaborative cluster
Workshop would also define projects for each intern
16 representatives from 11 HEIs attended, with offers to support from another HEI and sparqs

5. Learning Analytics Framework
Sharing Best Practice
Research HEI current practice in learning analytics
Oversight/governance
Institutional strategy
Definitions
Policy/guidelines
Lessons learned
Implementation strategy
HEI roadmap
Develop mechanism for sharing best practice
Evaluation of current practice
Produce policy/guidance/best practice framework to be released under CC licence
Learning Analytics Framework

6. Year 1 Activity
Two student interns, Claire Lough and Victoria Szymanska, from the University of Stirling, interviewed all 19 Scottish HEIs in Summer 2018
They explored objectives, policies, systems and future plans for learning analytics
They summarised each interview and compiled a report which is now available on the QAA Enhancement Theme website
theme/collaborative-clusters

7. Year 2 Activity
Two student interns currently being recruited and to be based at the University of Strathclyde to create an online resource compiling the information from Claire and Victoria’s report
Students expected to undertake the project from January – June 2019

8. Needs Analysis Engagement
Research current practice nationally and internationally
Research categories of students
Research categories of staff
Undertake needs analysis of learning analytics on all categories of students and staff
Overall purpose:
to ensure all student and staff categories have a voice in learning analytics, not just those ‘at-risk’
to validate institutional strategy
Engagement

9. Year 1 Activity
One student intern, Wanda Fischera, based at the University of Strathclyde, interviewed all Strathclyde Professional Services departments and the Student Union to capture the data categories collected from students
She categorised them into five clusters; student record, demographics, widening access, student support records, and academic categories
Her full report can also be accessed at the QAA Enhancement Themes website
theme/collaborative-clusters

10. Year 2 Activity
In the near future, four student interns will be recruited, based at Robert Gordon University, University of Edinburgh, University of St Andrews, and University of Stirling to undertake sector-wide student focus groups to gain student views on learning analytics and the specific needs required by each group of students
Focus group recruitment will be informed by Wanda’s report
Students expected to undertake the project from January – June 2019

11. Applications of Learning Analytics
Sharing Best Practice
Show, tell and share approach
Develop mechanism for sharing best practice
Recommendation that this work will follow on from ‘Framework’ and ‘Engagement’ strands, in year 3 of the Theme
Applications of Learning Analytics

12. Wider Sector Engagement
Supporting Higher Education to Implement Learning Analytics (SHEILA) Project has developed a MOOC on adoption of learning analytics on edX
Moving Towards Systematic Adoption of Learning Analytics in Higher Education
towards-systematic-adoption-of- learning-analytics-in-higher- education

13. Thank you