Conole tel methodologies

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Conole tel methodologies

  1. 1. Researching with andthrough technologies Gráinne Conole PhD Research Day University of Leicester 14th September 2012
  2. 2. landscape Emergent technologies Theory and methodology E-pedagogies, strategies and affordances and learning design Resources, OER and Pedagogical PatternsEvaluations Interventions
  3. 3. What is needed in a worldof new and proliferating e- learning practices areresearch approaches that are multiple and varied and that recognise their heterogeneity explicitly. (Friesen, 2009) From Web pages and forums to complex online interactions Are we up for the challenge???
  4. 4. Examples• Learning analytics• Social Network Analysis
  5. 5. Learning Analytics Measurement, collection, analysis and reporting of data about learners and their contexts, for the purposes of understanding and optimisinglearning and the environments in which it occurs US Department of Education
  6. 6. We leave trailseverywhere wego and that datais valuable(GeorgeSiemens)
  7. 7. Erik Duval
  8. 8. Contribution• Learning analytics: • as a tool to understand learning behaviour • to provide evidence to support design of more effective learning environments • to make effective use of social and participatory media
  9. 9. Pedagogies• Learning analytics to foster: • Assessment and feedback • Enquiry and sensemaking • Discourse
  10. 10. Assessment & feedback• Importance of assessment and feedback as part of the learning process• Issues around markingand workload• Open Mentor and Open Comment: feedback through reflection and social networking• Coding of feedback comments and power of Bale’s categories of group interaction Whitelock
  11. 11. Enquiry and sensemaking like• New social networking spaces Cloudworks to support dialogue and knowledge construction• Cloudworks: object- rather than ego centric, collective aggregation and improvement, supporting collective intelligence and distribution cognition (Salomon, 1983)• Disputational, cumulative and exploratory talk Ferguson
  12. 12. Discourse• Cohere: structured discourse and knowledge construction• Discourse as an indicator of learning• Language as social action• Visualisation both as an analytic tool and a means of supporting sensemaking Buckingham Shum
  13. 13. Putting it all together• Combining different forms of data analytics • VLE stats • Library analytics • Sitewide tracking • Course analytics• Powerful new analytics tools to understand data and network connections• Making sense of Massive Open Online Courses Hirst
  14. 14. Resources• LAK11 conference https://tekri.athabascau.ca/analytics/• Special issue of ETShttp://www.learninganalytics.net/• Definitionshttp://learninganalytics.net/LearningAnal yticsDefinitionsProcessesPotential.pdf• Siemens: presentation http://www.slideshare.net/gsiemens/learning- analytics-educause
  15. 15. Social Network Analysis
  16. 16. OER communities• 7 in-depth case studies• Articulate the nature of the OER communities and the patterns of user behaviour• Using the LOOK SNA tool• Relationships between individuals and themes
  17. 17. LOOK tool• Interviews• Thematic analysis• Key themes• Filter by user and theme connections

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