Overview slides for Learning analytics suppliers briefing-april16

1. Overview
Jisc Learning Analytics

2. Agenda
Learning Analytics - Suppliers Briefing 2016 2
• Overview of the Learning Analytics
Project
Paul Bailey, Project Manager Jisc and
Niall Sclater, Senior Consultant,
learning analytics
• An overview of the architecture MichaelWebb, Director ofTechnology
and Analytics
• Break (14:30)
• Data structures: an overview of the
xAPI recipes and the Universal Data
Definition
MichaelWebb,Wilbert Kraan Cetis
Rob Jones, Consultant
• How your company can be involved MichaelWebb
• Finish (16:00)

3. About Learning Analytics…
3Learning Analytics - Suppliers Briefing 2016

4. Effective Learning Analytics Challenge
Rationale
Universities and colleges don't have enough useful data about students and how they are learning.
What they have they don’t analyse and interpret.They are missing opportunities to use technology to
provide feedback to students.They need to support staff who could be using analytics and a standard
set of tools and technologies to monitor and intervene.
Who it affects and how
Students are missing out on the possibility of an improved experience, better retention, and better
achievement.
Staff are missing the opportunity to develop skills to use analytics to improve support, teaching and
curriculum design.
Timescale
Pilot tools and metrics 1-2 years
Impact on retention, achievement and progression 3-4 years.
Learning Analytics - Suppliers Briefing 2016 4

5. 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:
For our project:
» Improve retention (current project)
» Improve achievement (current project)
» Improve employability (current project)
» Personalised learning (future project)
5Learning Analytics - Suppliers Briefing 2016

6. About Learning Analytics…
Products and Solutions
6Learning Analytics - Suppliers Briefing 2016

7. Jisc’s Learning Analytics Project
7
Three core strands:
Learning
Analytics Service
Toolkit Community
Jisc Learning Analytics
Learning Analytics - Suppliers Briefing 2016

8. Learning Analytics - Suppliers Briefing 2016 8
Learning Analytics
Service
Toolkit Community
Learning Records
Warehouse and Data
Integration
Code of Practice Legal and
Ethical Issues
Email list (over 350
members)
Learning Analytics
Processor and Dashboards
Discovery Institutional
Readiness
Blog Site
Alert and intervention
management tool
Data definitions and xAPI
recipes
Network Meetings
Student Learning Analytics
App and Consent Service

9. Discovery …
The learning analytics discovery service is a way of
investigating your institution’s readiness for learning
analytics. The process will investigate strategic,
technical, process and data readiness, providing
recommendations for action before moving on to deploy
a learning analytics solution.
9Learning Analytics - Suppliers Briefing 2016

10. 10
Jisc Learning
Analytics
Implementation
Wish to
explore
readiness
and
products
Know want
to
implement
Jisc
architecture
Institutional
Readiness
Pre-implementation
Other pre-
implementation
Other Learning
Analytics
Implementation
Discovery Pre-implementation Implementation
Learning Analytics - Suppliers Briefing 2016

11. Jisc Project in numbers
Expressions of interested: 80
Engaged in activity: 35
Discovery to Sept 16: agreed (26), completed (14),
reported (8)
Learning Analytics Pre-Implementation: (12)
Learning Analytics Implementation: (7)
Learning Analytics - Suppliers Briefing 2016 11

12. Timeline
12Learning Analytics - Suppliers Briefing 2016

13. Learning Analytics - Suppliers Briefing 2016 13
Phase 1&2
Sep 15 – Apr 16
Phase 2&3
Jan – Sept 16
Transition to
Service
Sept 16 – July 17
Jisc Learning
Analytics Service
Sept 2017

14. Example HE Activity
Learning Analytics - Suppliers Briefing 2016 14

15. Learning Analytics - Suppliers Briefing 2016 15
Profile Aim Activity Data Sources
Russell Group Retention of widening participation +
support for students to achieve 2.1 or
better
Discovery +Tribal Insight +
Learning Locker
Moodle + Student
Records
Research led
University
Retention, improve teaching,
empowering students
Discovery + OpenSource
Suite + StudentApp
Moodle +
Attendance+
Student Records
Teaching led
University with WP
mission
Retention - requirement to make
identifying students more efficient so
they can focus on interventions
Tribal Insight + Learning
Locker
Blackboard +
Attendance +
Student Records
Research led
University
Student engagement Discovery + Student app +
Learning Locker
Moodle + Student
Records
Teaching Lead Understanding of how Learning
Analytics can be used
Discovery +Technical
Integration
Moodle

16. 16
Community
Community
Learning Analytics - Suppliers Briefing 2016

17. Project Blog, mailing list and
network events
Blog: http://analytics.jiscinvolve.org
Mailing: analytics@jiscmail.ac.uk
17Learning Analytics - Suppliers Briefing 2016

18. Jisc Learning AnalyticsToolkit
18
Toolkit
Learning Analytics - Suppliers Briefing 2016

19. http://www.jisc.ac.uk/guides/code-of-practice-for-learning-analytics
Code of Practice
Learning Analytics - Suppliers Briefing 2016 19

20. Group Name Question Main type Importance Responsibility
2 Consent Adverse impact of opting
out on individual
If a student is allowed to opt out of data collection and
analysis could this have a negative impact on their
academic progress?
Ethical 1 Analytics Committee
7 Action Conflict with study goals What should a student do if the suggestions are in conflict
with their study goals?
Ethical 3 Student
8 Adverse impact Oversimplification How can institutions avoid overly simplistic metrics and
decision making which ignore personal circumstances?
Ethical 1 Educational researcher
86 issues in 9 groups
Available from Effective learning analytics blog: analytics.jiscinvolve.org

21. Group Name Question Main type Importance Responsibility
2 Consent Adverse impact of opting
out on individual
If a student is allowed to opt out of data collection and
analysis could this have a negative impact on their
academic progress?
Ethical 1 Analytics Committee
7 Action Conflict with study goals What should a student do if the suggestions are in conflict
with their study goals?
Ethical 3 Student
8 Adverse impact Oversimplification How can institutions avoid overly simplistic metrics and
decision making which ignore personal circumstances?
Ethical 1 Educational researcher
86 issues
jisc.ac.uk/guides/code-of-practice-for-learning-
analytics

22. jisc.ac.uk/guides/code-of-practice-for-learning-analytics
jisc.ac.uk/guides/code-of-practice-for-learning-
analytics

23. jisc.ac.uk/guides/code-of-practice-for-learning-
analytics

24. Comparative – social – gameified – private by default – usable standalone - uncluttered