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Learning Analytics
The document outlines the concept of learning analytics, emphasizing its importance in optimizing learning environments and improving learner success through evidence-based approaches. It discusses how Brightwave utilizes learning analytics for data compilation, analysis, and visualizations to enhance learning experiences. Additionally, the document highlights the role of the Experience API in capturing comprehensive learning data beyond traditional Learning Management Systems.
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Learning Analytics
- 1. Learning Analytics 30th January2013 Alex Reeve, Learning Consultant Paul Burns, Head of Technology www.brightwave.co.uk
- 2. Agenda 1. What isLearning 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
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- 4. “Learning Analytics isthe 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.”
- 6. Massively Open OnlineCourses (MOOCs) Data-intensive Universities
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- 9. The benefits An evidence-basedapproach 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
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- 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
- 13. How will the ExperienceAPI enhance Learning Analytics?
- 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
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- 17. Tin Can/ Experience API •A practical example • Sales training
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- 19. What does the futurehold?
- 20. What does thefuture hold? • The virtuous spiral • Correlation builds learning strategies
- 21. Questions Want to know more & Answers about tessello? [email protected] Find out more and request a [email protected] www.brightwave.co.uk/tessello/t @brighttweet +44 (0) 1273 827 676
Editor's Notes
- #3 Neutral background
- #5 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.
- #6 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.
- #7 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.
- #9 So why is it important for us at LT who are working in the corporate online learning sector.