Learning Analytics


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Slides from Brightwave's lunch session at Learning Technologies 2013 - 'Learning Freakonomics - Will analytics re-write learning?'.

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  • Fundamentally, it’s about using data and analytics to improve learning experiences and thereby increase learner success. In education, the use of data and analytics to improve learning is referred to as learning analytics. Software companies, researchers, educators, and university leaders are starting to recognize the value of data in improving not only teaching and learning, but the entire education industry. The growth of online learning and open online courses generates new sources of data for researchers and educators to better understand the learning experience.
  • To give this some wider context. It’s worth saying that analytics is being used in a wide range of fields. So for example, player performance analysis in football and baseball. Statistical analysis in behavioural economics. And of course website and search engine optimisation in the case of Google Analytics.
  • One of the key drivers behind the surge of interest in Learning Analytics is the rise of ‘Massively Open Online Courses’ – or ‘MOOCS’. Which are online learning courses backed by some of the world’s leading universities such as Stanford, Harvard, MIT. There’s a strong business driver to find out what works and what doesn’t in online learning. And the universities behind these MOOCs have the research capability.
  • So why is it important for us at LT who are working in the corporate online learning sector.
  • Learning Analytics

    1. 1. Learning Analytics30th January 2013Alex Reeve, Learning ConsultantPaul Burns, Head of Technologywww.brightwave.co.uk
    2. 2. Agenda1. What is Learning Analytics?2. Why is it important?3. What can we discover?4. What can the Experience API offer?5. What does the future hold?6. Questions & Answers
    3. 3. What isLearningAnalytics?
    4. 4. “Learning Analytics is themeasurement, collection, analysisand reporting of data aboutlearners and their contexts, forpurposes of understanding andoptimizing learning and theenvironments in which it occurs.”
    5. 5. Massively Open Online Courses(MOOCs) Data-intensive Universities
    6. 6. Why is itimportant?
    7. 7. The benefitsAn evidence-based approach to online learning that helps:• Identify what really works• Create more effective learning experiences• Identify which organisations/departments are supporting effective learning cultures• Increase learner success• Model and replicate high-performing behaviours• Tailor learning to individual user needs
    8. 8. How isBrightwaveusing LearningAnalytics?
    9. 9. 409 (19%) 311 (14%) LA service 1473 (67%)• Data compilation and analysis: In Process Completed Not started e.g. usage rates, drop-out points, scores, technology• Sense-making and connection mapping• Data visualisations• Recommendations for change• Dashboard Registered Unique Course Completions users logins launches
    10. 10. How will theExperience APIenhance LearningAnalytics?
    11. 11. Tin Can/Experience API• What is it?• Modernised version of SCORM• Record any learning experience• Data is freed• Correlation
    12. 12. Tin Can/Experience API• The potential for Learning Analytics• Beyond the LMS• Capture a wealth of experiences• Comprehensive view of individual’s learning
    13. 13. Tin Can/Experience API
    14. 14. Tin Can/Experience API• A practical example• Sales training
    15. 15. tessello
    16. 16. What does thefuture hold?
    17. 17. What does the future hold?• The virtuous spiral• Correlation builds learning strategies
    18. 18. Questions Want to know more & Answers about tessello?alex.reeve@brightwave.co.uk Find out more and request apaul.burns@brightwave.co.uk www.brightwave.co.uk/tessello/t@brighttweet+44 (0) 1273 827 676