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Using analytics to improve the teaching and learning environment

Using analytics to improve the teaching and learning environment. George Siemens November 21 , 2011 Sydney, Australia. Data Intensive University Forum.

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Using analytics to improve the teaching and learning environment

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  1. Using analytics to improve the teaching and learning environment George Siemens November 21, 2011 Sydney, Australia Data Intensive University Forum

  2. “A university where staff and students understand data and, regardless of its volume and diversity, can use it and reuse it, store and curate it, apply and develop the analytical tools to interpret it.”

  3. We’re living in data. We’re all doing analytics.

  4. Next-Generation Analytics. Analytics is growing along three key dimensions: • (1) From traditional offline analytics to in-line embedded analytics. This has been the focus for many efforts in the past and will continue to be an important focus for analytics. • (2)From analyzing historical data to explain what happened to analyzing historical and real-timedata from multiple systems to simulate and predict the future. • Over the next three years, analytics will mature along a third dimension, • (3) from structured and simple data analyzed by individuals to analysis of complex information of many types(text, video, etc…) from many systems supporting a collaborative decision process that brings multiple people together to analyze, brainstorm and make decisions.

  5. Data reveals our sentiments, our attitudes,our social connections,our intentions,and what we might do next.

  6. Roots of learning analytics

  7. Analytics processes

  8. Siemens, Long, 2011. EDUCUASE Review

  9. 1. Data Trails

  10. 2. Machine-human readable content

  11. 3. Learner Profile Development

  12. 4. Analytics tools and Methods

  13. 5. Prediction & Intervention

  14. 6. Adapting and personalizing

  15. Siemens, Long, 2011. EDUCAUSE Review

  16. Open Learning Analytics

  17. Challenge: Organizational capacity building for analytics deployment and use

  18. Why invest in analytics? • Unbox the “black box of learning” • Identify students at the margins • Adapt teaching process to context/learners • Target support resources to those who need it

  19. Personalize and adapt content • More effective planning and allocation of institutional resources • (in the future) Restructure education processes to account for the architecture of information today: social, network, fragmented participatory

  20. “Knewtonanalyzes learning materials based on thousands of data points—concepts, structure, difficulty level, media format—and uses sophisticated algorithms to piece together the perfect bundle of content for each student, every day. The more students who use the platform, the more accurate it becomes.”

  21. Check my activity Predictive Analytics Reporting

  22. Open online course: Learning AnalyticsJanuary 23 - March 17, 2012 http://www.solaresearch.org/ Simon Buckingham Shum Shane Dawson Erik Duval George Siemens DraganGasevic

  23. change.mooc.ca Twitter: gsiemens www.elearnspace.org/blog http://www.solaresearch.org/ Learning Analytics & Knowledge 2012: Vancouver http://lak12.sites.olt.ubc.ca/

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