Overview of the LAEP project - implications and opportunities of learning analytics for European educational policy. Presented at the LAEP / LACE workshop held in Amsterdam, 15-16 March 2016.

1. LAEP: implications and
opportunities of learning
analytics for European
educational policy
Rebecca Ferguson, Andrew Brasher
Garron Hillaire and Jenna Mittelmeier
#laepanalytics

2. 2
https://laepanalytics.wordpress.com/
#laepanalytics
“Erik was an incredible person:
kind, intelligent, and generous
in helping others. He was active
on the keynote circuit and
focused on developing his
students […] Erik was critically
active in developing SoLAR,
serving on the inaugural board
of directors. It is a sad time for
our community.”
George Siemens
Remembering Erik Duval
Picture from www.surfspace.nl

3. State of the art in learning analytics
3
https://laepanalytics.wordpress.com/
Exploring the implications and opportunities
of learning analytics for
European educational policy
work in progress…
#laepanalytics

4. Research questions
4
What is the current state of the art?
What are the prospects for the implementation
of learning analytics?
What is the potential for European policy to be
used to guide and support the take-up and
adaptation of learning analytics to enhance
education in Europe?
#laepanalytics

5. Carrying out the study
5
Literature review
Glossary
Inventory
Case studies
Expert workshop
Final report
#laepanalytics

6. LAEP Glossary
6
Developed using frequently used keywords
from the LAK Dataset
You are welcome to suggest other key terms or
to suggest revised definitions
cloudworks.ac.uk/cloud/view/9781
#laepanalytics

7. Literature review on implementation
7
Underpinning technology
Policy, codes of practice and governance
Skills and data literacies
Culture, values and professional practice
Leadership, change management and
sustainability
#laepanalytics

8. Underpinning technology
8
Systems need to be technically and
semantically interoperable
 Work required on data quality, ownership,
access and standardisation
Need to investigate the possibilities and
limitations of data warehouses
#laepanalytics

9. Policy, codes of practice and governance
9
A lot of data have been gathered and used
without the knowledge of the learners who
generated them
Need for effective data governance procedures
Discussions required at all levels about privacy
and ethics
Privacy-preserving practices are important
#laepanalytics

10. Skills and data literacies
10
Current capability to develop and deploy
analytics is low
Need for an open and shared analytics
curriculum covering technology and pedagogy
Research is required on the use of visualisation
#laepanalytics

11. Culture, values and professional practice
11
Work required at local, regional and national
levels – how can analytics be related to the
purposes of education?
 Embed data skills and literacies within
professional training
Ensure educators can use the tools available
and that they can make informed decisions
#laepanalytics

12. 12
LAEP Inventory
Show the state-of-the-art of the practical
adoption of learning analytics
A broad-but-shallow collection of informative
examples across the three categories:
• Policy documents (14)
• Practices (13)
• Tools (19)
#laepanalytics

13. 13
Contents
Policies
Analytical Review (UK
Government Department for
Education)
Capacity enablers and barriers
for learning analytics
Code of practice for learning
analytics
Education governance: the role
of data – Organisation for
Economic Co-operation and
Development
Educause – Understanding and
managing the risks of analytics
in higher education: a guide
Enhancing teaching and
learning through learning
analytics and educational data
mining (US Department of
Education)
Ethical use of student data
policy – The Open University
Evaluation of policy frameworks
for addressing ethical
considerations in learning
analytics
Practices
Arizona State University
Ceibal
Course Signals: Purdue
University
Dunchurch Infant School
Effective learning analytics pilots
–Jisc
Further education learning
technology action group:
FELTAG
Georgia State University
Nottingham Trent University
Student Dashboard
PAR Framework
PredictED– Dublin City
University
Progress and Course
Engagement (RioPACE) – Rio
Salado College
Student retention and learning
analytics: A snapshot of
Australian practices and a
framework for advancement
Tools
ASSISTments
Bettermarks
Civitas Learning
Cognitive Tutor software
Conexus Vokal
Degree Compass
(Desire2Learn)
Digital Assess – adaptive
comparative judgement
FFT Aspire
itslearning
Khan Academy analytics
Learning Analytics Processor
Metacog
Open Essayist
OU Analyse
Schoolzilla
Skillaware
SNAPP
#laepanalytics

14. 14
Structure
1 page per entry
Policy documents
• Synopsis, classification, context, maturity and
evidence of utility, further information
Practices
• Synopsis, classification, context, practical matters,
further information
Tools
• Synopsis, classification, context, maturity and
evidence of utility, further information
#laepanalytics

15. 15
Open for Viewing and Additions
http://cloudworks.ac.uk/cloudscape/view/2959

16. 16
Development and Status
• Created by a combination of desk research and open information
gathering.
• Channels used to solicit and gather information include:
• 2015 SoLAR Flare event at The Open University, UK.
• Learning Analytics Community Exchange (LACE) project
communication and discussion channels:
Network of associated partners;
LinkedIn discussion group;
@laceproject Twitter account.
• Structured interviews with significant international figures and major
learning analytics projects.
• LAEP Project blog] http://bit.ly/LAEPAnalytics
#laepanalytics

17. Culture, values and professional practice
17
#laepanalytics

18. Culture, values and professional practice
18
#laepanalytics

19. Culture, values and professional practice
19

20. 20
Today’s workshop
http://cloudworks.ac.uk/cloudscape/view/2965
LAEP Glossary
http://cloudworks.ac.uk/cloud/view/9781
LAEP Inventory
http://cloudworks.ac.uk/cloud/view/9621
#laepanalytics