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Social learning analytics: LAK 2012

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This presentation proposes that Social Learning Analytics (SLA) can be usefully thought of as a subset of learning analytics approaches. SLA focuses on how learners build knowledge together in their cultural and social settings. In the context of online social learning, it takes into account both formal and informal educational environments, including networks and communities. The paper introduces the broad rationale for SLA by reviewing some of the key drivers that make social learning so important today. Five forms of SLA are identified, including those which are inherently social, and others which have social dimensions. The paper goes on to describe early work towards implementing these analytics on SocialLearn, an online learning space in use at the UK’s Open University, and the challenges that this is raising. This work takes an iterative approach to analytics, encouraging learners to respond to and help to shape not only the analytics but also their associated recommendations

Published in: Education, Technology
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Social learning analytics: LAK 2012

  1. 1. Social Learning Analytics:Five ApproachesRebecca FergusonSimon Buckingham ShumThe Open University, UK
  2. 2. SocialLearn
  3. 3. Learning analyticsDeveloping new tools for learners and teachersdrawing on experience from the learning sciencesintention of understanding and optimizingnot only learningbut also the environments in which it takes place
  4. 4. Changing environmentShift Happens:Karl Fisch
  5. 5. Social learning analyticsSocial learning analytics focus on how learnersbuild knowledge together in their cultural andsocial settings.In the context of online social learning, theseanalytics take into account both formal andinformal educational environments, includingnetworks and communities.
  6. 6. Why social learning analytics?Social media Support learning-related reflection on interpersonal relationships and interactions
  7. 7. Why social learning analytics?Free and open content New Usefulideas resources Key hashtagsHelpful Support info networks Support the role of social networks in filtering and recommending resources
  8. 8. Why social learning analytics?Living in the knowledge age Support learners to assess their progress in terms of knowledge-age skills
  9. 9. Why social learning analytics?Growth in ‘postmaterialist’ values www.worldvaluessurvey.org World Values Survey 1990-93 Post-materialist values by birth cohort in Western democracies, Eastern Europe, East Asia and Africa. (Inglehart, 1997) The shift to participatory technology is powered by a shift in cultural values Source: R Inglehart, 1997
  10. 10. Why social learning analytics?Sociocultural understandings Increase learner proficiency in the use of educational dialogue
  11. 11. Why social learning analytics?Sociocultural understandings Enable learners to engage proficiently with a range of tools and social settings
  12. 12. Social/ized analyticsSocial analytics• social network analytics• discourse analyticsSocialized analytics• content analytics• disposition analytics• context analytics
  13. 13. Social analytics: potential usesNetwork analyticsIdentify individuals who support my learningIdentify individuals with relevant interestsIdentify origins of conflictsIdentify groupings that could support learningProvide feedback to groups and group leaders
  14. 14. ImplementationNetwork analytics
  15. 15. Social analytics: potential usesDiscourse analyticsThe ways in which learners engage in dialogueindicate how they engage with the ideas of others,how they relate those ideas to their understandingand how they explain their own point of view. • Disputational dialogue • Cumulative dialogue • Exploratory dialogue
  16. 16. IImplementationDiscourse analytics
  17. 17. Socialized analytics: potential usesContent analyticsVarious automated methods used to examine, indexand filter online media assets for learners.These analytics may be used to providerecommendations of resources tailored to the needsof an individual or a group of learners.
  18. 18. ImplementationIContent analytics
  19. 19. Socialized analytics: potential usesDisposition analyticsDispositions can be used to render visible thecomplex mixture of experience, motivation andintelligences that make up an individual’s capacityfor lifelong learning and influence responses tolearning opportunities
  20. 20. ImplementationIDisposition analytics
  21. 21. Socialized analytics: potential usesContext analyticsAnalytic tools that expose, make use of or seek tounderstand learners’ contexts. These analytics maybe used alone, or may be employed as higher-leveltools, pulling together data produced by otheranalytics. Context as a dynamic process – a mobile device can present content, options and resources that support learning activities in this location at this time.
  22. 22. ImplementationIContext analytics
  23. 23. Different dashboard viewsD
  24. 24. Take-home message… Online social learning is redefining the learning landscapeSo learning analytics must enhance the process – by building on theories of effective learning We have shown you five classes of SLA SocialLearn provides us with an innovation platform to test these ideas

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