2. Agenda
1. 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
4. “Learning Analytics is 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.”
9. The benefits
An 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
11. 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
14. Tin Can/
Experience API
• What is it?
• Modernised version of SCORM
• Record any learning experience
• Data is freed
• Correlation
15. Tin Can/
Experience API
• The potential for Learning Analytics
• Beyond the LMS
• Capture a wealth of experiences
• Comprehensive view of individual’s learning
20. What does the future hold?
• The virtuous spiral
• Correlation builds learning strategies
21. Questions Want to know more
& Answers about tessello?
alex.reeve@brightwave.co.uk Find out more and request a
paul.burns@brightwave.co.uk www.brightwave.co.uk/tessello/t
@brighttweet
+44 (0) 1273 827 676
Hinweis der Redaktion
Neutral background
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.