Presentation given by Rebecca Ferguson at the BETT HE Leaders Summit in Excel, London, on 25 January 2017. The talk covers work carried out by the European-funded LAEP and LACE projects.
"If you would like to introduce learning analytics at your institution, where should you start? Drawing on a recent study that consulted experts worldwide, Rebecca Ferguson will outline an action plan for analytics and identify the key points to keep in mind."
1. Rebecca Ferguson, The Open University, UK
BETT, January 2017
Learning analytics:
an action plan
2. 2
Learning analytics
The measurement, collection, analysis and
reporting of data about learners and their
contexts, for purposes of understanding and
optimizing learning and the environments in
which it occurs.
solaresearch.org
3. Learning analytics help us to identify
and make sense of patterns in the data
to improve our teaching, our learning
and our learning environments
5. Priority areas for education and training
5
• Bringing together different sectors: higher education, schools & workplace learning
• Building enduring networks
• Helping to develop learning analytics capability
• Creating and sharing resources
• Developing visions of the future and agreeing how to work towards them
www.laceproject.eu
6. LAEP: learning analytics for European
educational policy
6
• 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?
http://bit.ly/2jLfx9p
8. Action plan for learning analytics
Policy leadership and governance
Institutional leadership and governance
Collaboration and networking
Teaching and learning
Quality assessment and assurance
Capacity building
Infrastructure
9. 9
Policy leadership and governance
• Develop common visions of learning
analytics that address strategic objectives
and priorities
• Develop a roadmap for learning analytics
• Align learning analytics work with
different sectors
• Develop frameworks that enable
development of analytics
• Assign responsibility for
development of learning analytics
• Continuously work on reaching
common understanding and
developing new priorities
10. 10
http://bit.ly/2iMIVai
Institutional leadership
• Create organisational
structures to support use of
learning analytics and help
educational leaders to
implement these changes
• Develop practices that are
appropriate to different
contexts
• Develop and employ ethical
standards, including data
protection
11. 11
Collaboration and networking
●Identify and build on work
in related areas and other
countries
●Engage stakeholders
throughout the process to
create learning analytics
that have useful features
●Support collaboration with
commercial organisations
http://cloudworks.ac.uk/cloudscape/view/2965
12. 12
Teaching and learning
●Develop learning
analytics that make
good use of pedagogy
●Align analytics with
assessment practices
http://www.laceproject.eu/blog/infographic-learning-analytics/
13. 13
Quality assessment and assurance
●Develop a robust quality
assurance process for
the validity and reliability
of tools
●Develop evaluation
checklists for learning
analytics tools
14. 14
Capacity building
●Identify the skills
required in different
areas
●Train and support
researchers and
developers to work in
this field
●Train and support
educators to use
analytics to support
achievement
Probability of cohort passing = 58%
17. 17
Slides online at www.slideshare.net/R3beccaF
Rebecca Ferguson @R3beccaF
http://r3beccaf.wordpress.com/
Notas do Editor
Introduction
If you have attended the Learning Ananlytics Summer Institute (LASI Asia) this week, some of the early slides here will look familiar, but I am going to focus here much more on actions to be taken
Definition of learning analytics from the Society for Learning Analytics Research (SoLAR)
A rephrasing of that definition
Introduction to The Open University, to the Learning Analytics Community Exchange (LACE) project and to the Learning Analytics for European Educational Policy (LAEP) project.
The Learning Analytics Community Exchange (LACE) project in Europe has been thinking about the future of learning analytics – which futures we want to work towards and which we want to avoid. To investigate this, we have carried out a Policy Delphi, a form of research designed to elicit a range of exert views on a topic. In this case, we developed eight provocations or visions of the future of learning analytics. Using a survey, we shared these with experts and practitioners around the world and asked them to comment on at least two visions in terms of desirability, feasibility, and actions that would need to be taken.
The Policy Delphi study enabled us to talk about where learning analytics are heading, but did not go into t lot of detail about what should be done.
So, in parallel with this, we ran the LAEP project, funded by the Joint Research Centre in Seville, Spain. This looked at how Europe as a whole should move forward on learning analytics.
To investigate this, we carried out a literature review, and we developed an inventory of learning analytics practices (see URL on slide), we carried out a set of in-depth case studies, and we convened an expert workshop
From this we came up with a seven-point plan for Action on Analytics in Europe
Work needed on strategy
Work needed on research and development
Work needed on infrastructure
Work needed on context
Work needed on standards
Work needed on skills
Work needed on outreach
And, across the world, we need to stay connected via different organisations and events