Speakers: Phil Richards, chief innovation officer, Jisc Rob Wyn Jones, senior data and analytics integrator, Jisc As learning analytics starts to move from a few early adopters to wide scale adoption many institutions want to know are they too late to the party or missed the boat already? What is the full potential of using data to support learning, teaching or an institutions strategic development? This session will: Outline the strategic importance of data and analytics Outline the role the Jisc analytics services can play working with your institution, sector bodies and commercial suppliers Enable you to discuss with early implementers of analytics services to learn from their experience

1. Join the learning analytics party!
Exploring the full potential of using data to support learning

2. > >Slide
Introduction
>Strategic importance of learning analytics
>What problems could we solve?
>Evidence that it works
>Business case
>Jisc national learning analytics
>What Jisc is doing now
>The future
>Where it could lead
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3. > >Slide
Strategic importance of learning analytics
Dr. Phil Richards,Chief innovation officer, Jisc
14/03/2017 Join the learning analytics party!

4. > >Slide
What do we mean by learning analytics?
>The application of big data techniques such as machine based
learning and data mining to help learners and institutions meet
their goals:
>Eg:
>Improve retention
>Improve achievement
>Improve employability
>Reduce differential outcomes
14/03/2017 Join the learning analytics party!4

5. > >Slide
Problems: Retention, attainment, differentials
HESA non-continuation rates 2016-17
“headline increase from 6% to 6.2%”
Director of Fair Access Les Ebdon
“particularly concerned that the non-continuation rates
for young people from the most disadvantaged
backgrounds have risen faster than for other groups”,
and expects the next round of access agreements to
particularly focus on the issue of retention.
(WonkHE)
14/03/2017 Join the learning analytics party!5

6. > >Slide
Evidence
>Columbus State University
College (USA) retention rose
by 4.2% (5.7% for low-income
students)
>Open University (UK) pilots
have seen a 2.1% boost in
retention
>University of New England
(Australia) saw drop-out rates
fall from 18% to 12%
14/03/2017 Join the learning analytics party!6

7. > >Slide
Business case outlines
>Typical university 20,000 students, 6% first year
non-completion improves to 4%
>Annual benefit in reducing lost fees £7.2M-£10.8M
>(Annual LA cost < £0.1M)
>High retention university, 20,000 students 2% first year
non-completion improves to 1.5%
>Annual benefit £1.8M-£2.7M
14/03/2017 Join the learning analytics party!
£7

8. > >Slide
Evidence for LA in access agreements
https://analytics.jiscinvolve.org/wp/2017/01/10/whats-the-evidence-for-learning-analytics/
14/03/2017 Join the learning analytics party!8

9. > >Slide
Jisc – Developing the UK’s national learning analytics service
RobWyn Jones, Senior data and analytics integrator, Jisc
14/03/2017 Join the learning analytics party!

10. > >Slide
Learning analytics – three strands
14/03/2017 Join the learning analytics party!
Learning
analytics service
Toolkit Community
Jisc learning analytics
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11. > >Slide
LA community
>Blog (40+ blog posts)
>http://analytics.jiscinvolve.org ~ 40 blog posts
>Mailing: 500+ members (190+ organisations)
>analytics@jiscmail.ac.uk
>9th network meeting ~600+ participants
14/03/2017 Join the learning analytics party!11

12. > >Slide
Legal and ethical
> Code of Practice
jisc.ac.uk/guides/code-of-practice-for-
learning-analytics
> Literature Review
http://repository.jisc.ac.uk/5661/1/Learning_
Analytics_A-_Literature_Review.pdf
> Template Learning Analytics Policy
https://analytics.jiscinvolve.org/wp/2016/11/
29/developing-an-institutional-learning-
analytics-policy
> Guidance on consent for learning analytics
https://analytics.jiscinvolve.org/wp/2017/02/1
6/consent-for-learning-analytics-some-
practical-guidance-for-institutions
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13. > >Slide
Learning analytics – accessibility and analytics labs
>Blog Post: accessibility and considerations for learning analytics
https://analytics.jiscinvolve.org/wp/2016/12/14/accessibility-
considerations-for-learning-analytics
>Invitation to join Jisc/ HESA analytics labs: April – July 17 - - FOC
Agile delivery, BITableau + knowledge transfer)
http://bit.ly/jisc_bi_team_application
14/03/2017 Join the learning analytics party!13

14. > >Slide
UK learning analytics service
Jisc learning analytics open architecture: core
14/03/2017 Join the learning analytics party!14

15. > >Slide
Our confirmed partners…
>Look out for further
announcements soon….
>Dynamic purchasing
agreement to make it easier
for institutions…
14/03/2017 Join the learning analytics party!15

16. > >Slide
LA product/ service roadmap
14/03/2017 Join the learning analytics party!16

17. > >Slide
Now and for the future – Jisc UK learning analytics 2017-2019
RobWyn Jones, Senior data and analytics integrator, Jisc
14/03/2017 Join the learning analytics party!

18. > >Slide
Products and tools (as at March 2017)
> Learning records warehouse (LRW) – active + APIs
> Jisc Data Explorer – basic visualisations
> Student Unified Data Definition – version 1.2.7, upcoming 1.3.0 and examples major SRS
and automated validation
> VLE – xAPI recipe and plugins for Blackboard and Moodle
> Attendance tracking – xAPI recipe (2 pilots)
> Study Goal – version 1.0 on iOS and Android pilots - (3)
> Tribal Student Insights and LAP (14)
> Open Learning Analytics Processor (4)
> Student Success Planner – SSP (2)
14/03/2017 Join the learning analytics party!18

19. > >Slide
Current implementation approach
14/03/2017 Join the learning analytics party!
Analyse
and pilot
Choose
full
product
Historic
data
Analyse
results
Live data
Deploy dashboards/
other tools
SuppliersInstitution team End users
Model
build
Deploy
Study
Goal
Deploy
DataX
Analyse
and pilot
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20. > >Slide
Study Goal (formely ‘Student App’)
>First version includes:
>Overall engagement
>Comparisons
>Self declared data
>Consent management
Bespoke development by
Therapy Box
14/03/2017 Join the learning analytics party!20

21. > >Slide
Jisc - Data Explorer
>Basic dashboard/ vis tool
>Enables initial data exploration
and assist institutions to chose
suitable commercial solutions
and set a basic expectation
>Being used by several pilot
institutions
>Demo uses dummy data from
University of Jisc
14/03/2017 Join the learning analytics party!21

22. > >Slide
Join us – getting started
Learning analytics – onboarding process
https://analytics.jiscinvolve.org/wp/on-boarding
>Stage 1: Orientation
>Stage 2: Discovery
>Stage 3: Culture and organisation setup
>Stage 4: Data integration (crucial too, and can take time!)
>Stage 5: Implementation planning
14/03/2017 Join the learning analytics party!22

23. > >Slide
Learning analytics, and the unfolding education landscape
Dr. Phil Richards,Chief innovation officer, Jisc
14/03/2017 Join the learning analytics party!

24. > >Slide
HESA data futures/ HEDIIP alignment for UDD
jisc.ac.uk/rd/projects/information-hub-prototype
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25. > >Slide
HEFCE learning gain call – May 2015
>Standardised tests
>Grades
>Self-reporting surveys
>Mixed methods
>Other qualitative methods
14/03/2017 Join the learning analytics party!25

26. > >Slide
Teaching excellence framework and quality assessment
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27. > >Slide
LA warehouse: our DNA bank for higher e-learning?
14/03/2017 Join the learning analytics party!
Reference data
» Demographics
» Entry qualifications
» Learning and
employment –
Longitudinal
Educational
Outcomes (LEO)
data
Outcomes
» Deep understanding
of e-learning
» Metricsforengagement,
learning gain
» Personalised next
generation e-learning
and learner pathway
guidance
Analytics number
crunching
UK learning data warehouse
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28. > >Slide
Blended curriculum design
14/03/2017 Join the learning analytics party!28

29. > >Slide
AI and the analytics (r)evolution…
14/03/2017 Join the learning analytics party!29

30. > >Slide
jisc.ac.uk
Except where otherwise noted, this work
is licensed under CC-BY-NC-ND
> >
Contact details
Join the learning analytics journey
14/03/2017 Join the learning analytics party!Slide
Dr. Phil Richards
Chief innovation officer, Jisc
Phil.Richards@jisc.ac.uk
RobWyn Jones
Senior data and analytics integrator
(Learning analytics)
Rob.Jones@jisc.ac.uk
30

31. > >Slide
Exploring learning analytics
Paul Bailey, Senior co-design manager
14/03/2017 Join the learning analytics party!

32. > >Slide
Find out more at Digifest
>Day 1:Tues
>16:15Attendance monitoring (demo)
>Day 2:Weds
>9:15 Debate: Human vs machine interventions
>10:15 Business intelligence in HE (demo)
>11:15 Learning design and leaner analytics (Patrick Lynch)
>13:30 Study Goal and Data Explorer (demo)
>14:45 Learning analytics for FE Colleges
14/03/2017 Exploring learning analytics32

33. > >Slide
Learning analytics explained
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34. > >Slide
Join us – getting started
Learning analytics – onboarding process
https://analytics.jiscinvolve.org/wp/on-boarding
>Stage 1: Orientation
>Stage 2: Discovery
>Stage 3: Culture and organisation setup
>Stage 4: Data integration (crucial too, and can take time!)
>Stage 5: Implementation planning
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35. > >Slide
Learning analytics online modules
The following videos are extracts from some learning analytics online
modules available soon
>Module 1 - Introduction to learning analytics
>Module 2 - Student and staff perceptions
>Module 3 - Institutional readiness
>Module 4 -The Jisc architecture
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36. > >Slide
Vision and goals for data analytics
>Video Clip: A shared vision for
learning analytics
(00:16 - 01:25)
>Discussion:What are your
short-term (6-12 month) goals
for learning analytics at your
institution, and how are they
aligned with your institutional
goals?
14/03/2017 Exploring learning analytics
Lindsay Pineda, Unicon
36

37. > >Slide
The need for governance
>Governance structures –
The role of governance in
learning analytics
(1:11 - 4:03)
>Discussion:Where do you
believe the governance
structures for learning
analytics should fit into the
rest of the institution?
14/03/2017 Exploring learning analytics
Patrick Lynch, University of Hull
37

38. > >Slide
A code of practice
>Legal and ethical issues -
The need for a code of ethics
(00:00 - 01:51)
>Discussion:What are some of the
other ethical issues that arise in
storing and combining learning
data as we do in learning analytics?
How can institutions ensure that
they handle student data in a
responsible manner?
14/03/2017 Exploring learning analytics
Martin Hall
38

39. > >Slide
Data literacy
>Digital literacy - Data literacy -
towards a data-informed culture
(02:25 - 03:51)
>Discussion: How can technical staff
and educators work together to
ensure that learning analytics
systems are optimised - both
technically and pedagogically?
14/03/2017 Exploring learning analytics
Martin Hall
39

40. > >Slide
jisc.ac.uk
Except where otherwise noted, this work
is licensed under CC-BY-NC-ND
> >
Contact details
Learning analytics
14/03/2017 Exploring learning analyticsSlide
Paul Bailey
Senior co-design manager
Paul.bailey@jisc.ac.uk
40