Planning for learning analytics

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What do people use learning analytics for - and what should we bear in mind when designing learning analytics?

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Planning for learning analytics

  1. 1. Learning Analytics Rebecca Ferguson Simon Buckingham Shum The Open University
  2. 2. Types of analytic High-level figures A brief overview for internal and external reports Academic analytics Figures on retention and success, for the institution to assess performance Learning analytics Use of big data to provide actionable intelligence for learners and teachers
  3. 3. Educators use analytics to: • Monitor the learning process • Explore student data • Identify problems • Discover patterns • Find early indicators for success • Find early indicators for poor marks or drop-out • Assess usefulness of learning materials • Increase awareness, reflect and self reflect • Increase understanding of learning environments • Intervene, supervise, advise and assist • Improve teaching, resources and the environment
  4. 4. Learners use analytics to: • Monitor their own activities and interactions • Monitor the learning process • Compare their activity with that of others • Increase awareness, reflect and self reflect • Improve discussion participation • Improve learning behaviour • Improve performance • Become better learners • Learn!
  5. 5. Course Signals: Purdue
  6. 6. SNAPP: British Columbia
  7. 7. Identify questions • Which elements are learners struggling with? • Which sections engage them the most? • What prompts them to ask questions? • Are they finding assessment challenging? • What misconceptions have learners shown? • Are there any accessibility issues? • How can analytics be used to obtain desired learning outcomes?
  8. 8. Additional resources bit.ly/1130R0Ybit.ly/VUGBfJ

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