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Rebecca Ferguson, The Open University, UK
BETT, January 2017
Learning analytics:
an action plan
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
Learning analytics help us to identify
and make sense of patterns in the data
to improve our teaching, our learning
and our learning environments
4
The Open University
open.ac.uk
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
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
cloudworks.ac.uk/cloudscape/view/2959
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
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
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
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
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
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
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%
15
Infrastructure
●Develop technologies
that enable
development of
analytics
●Adapt and employ
interoperability
standards
http://bit.ly/1VDkjkW
16
solaresearch.org • LAK conferences • LASI events
Stay connected
17
Slides online at www.slideshare.net/R3beccaF
Rebecca Ferguson @R3beccaF
http://r3beccaf.wordpress.com/

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Learning analytics action plan

  • 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%
  • 15. 15 Infrastructure ●Develop technologies that enable development of analytics ●Adapt and employ interoperability standards http://bit.ly/1VDkjkW
  • 16. 16 solaresearch.org • LAK conferences • LASI events Stay connected
  • 17. 17 Slides online at www.slideshare.net/R3beccaF Rebecca Ferguson @R3beccaF http://r3beccaf.wordpress.com/

Editor's Notes

  • #2: 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
  • #3: Definition of learning analytics from the Society for Learning Analytics Research (SoLAR)
  • #4: A rephrasing of that definition
  • #5: Introduction to The Open University, to the Learning Analytics Community Exchange (LACE) project and to the Learning Analytics for European Educational Policy (LAEP) project.
  • #6: 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.
  • #8: 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
  • #9: From this we came up with a seven-point plan for Action on Analytics in Europe
  • #10: Work needed on strategy
  • #11: Work needed on research and development
  • #12: Work needed on infrastructure
  • #13: Work needed on context
  • #14: Work needed on standards
  • #15: Work needed on skills
  • #16: Work needed on outreach
  • #17: And, across the world, we need to stay connected via different organisations and events
  • #18: Slides are available on Slideshare