2. Summary
HESPA and current activities
Learning Analytics at Greenwich
Learning Analytics and the role of Planners
3. HESPA Objectives
• To provide an active forum for strategic planners in higher education to network,
discuss, improve and influence
• To be the primary organisation dedicated to supporting the professional development
and career progression of those working in strategy and planning in UK higher
education
• To represent a compelling and unified voice for members, while recognising their
contrasting needs and ideas
• To influence and shape the future of higher education by challenging policy and
promoting awareness and understanding of strategy and planning issues locally,
nationally and internationally
• To establish new and improved ways of engaging stakeholders to benefit strategic
planners, their wider connections and the sector overall
• To continually learn and seek out new knowledge and understanding, including that of
operational best practice, to expand and improve that of our members
5. Events and training
• Workload management and TRAC - 28 November
• Influencing with metrics and data visualisation (with ARMA) - 29 November
• Risk in HE – 13 December
• Intro to HE data – Jan tbc (to replace HESA for planners)
• HESPA19 – 7-8 Feb
• Intro to HE data – Jan tbc (to replace HESA for planners)
• Annual Planning Process – April tbc
• Strategic project and change management – 22 May
• Data Futures: opportunities and risks – June tbc
• Student Number Planning - 10 July
• More events to be added on a responsive and ad hoc basis
6. Have you registered on the website?
Click ‘Register’ in top right on
homepage
Complete personal details –
takes 2 mins and you’ll be
added to the mailing list and
given full access to resources.
7. A brief guide to Learning Analytics
at the
University of Greenwich
8. Using Learning Analytics to improve student outcomes
What is Learning Analytics
Use of data and algorithms to improve student engagement, retention and overall by changing
student and staffbehaviour
What Data
• Student Characteristics / priorlearning
• Student records (Banner)
• Engagement
• Virtual Learning Environment (Moodle)
• Attendance MonitoringSystem
• Personal TutorManagement System
• Library access/usage
• Assessment
• Student records (Banner)
• Other
Student Records VLE Library AttendanceOther Data Equipment Use
9. Interventions
• Who can see the data ?
• Student
• PersonalTutor
• Lecturer
• Retention and Success Officers and DSEs who
monitor engagement
• What will they do?
• Review engagement and outcome data
• Provide positive feedback /additional support
• Arrange meetings with personal tutor
• Send reminders (text, email, formal letter)
10. Applications
• Student StudyGoal - an app for student
use
• Data Explorer - a tutor/ lecturer view that
will be shared with students
• Data will appear later in the session –
from week 3 for attendance data; after
assessments for marks
11. Legal and Ethical Considerations
Keeping your data secure and being
transparent in what we are doing
• Key Principles
• Purpose
• Student Guide
• Policy
All Approved by the Students Union and
available from
https://www.gre.ac.uk/articles/planning-and-statistics/learning-analytics-at-the-university-of-greenwich
12. What comes next?
Can you make use of learning analytics data to:
• Describe the characteristics of a good module?
• Interpret patterns of student engagement to support
mental health issues?
• Predict success or failure reliably?
13. Is there a role of planners?
• We understand data
• We are good at interpreting patterns
• We know the best sources of information
• We understand the strategic importance of
providing evidence for e.g.TEF
BUT
Do we have the right skill sets?
Do we see a role for ourselves?
14. University of Greenwich is a charity and company limited by guarantee, registered in England (reg. no. 986729).
Registered office: Old Royal Naval college, Park Row, Greenwich, London SE10 9LS
D r C h r i s t i n e C o u p e r
P l a n n i n g a n d S t a t i s t i c s
U n i v e r s i t y o f G r e e n w i c h
E m a i l : c . j . c o u p e r @ g r e . a c . u k