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Researching with and
through technologies
       Gráinne Conole
     PhD Research Day
    University of Leicester
    14th September 2012
landscape
                             Emergent technologies
    Theory and methodology




                                                         E-pedagogies, strategies
                               and affordances




                                                           and learning design
                             Resources, OER and
                             Pedagogical Patterns

Evaluations                                          Interventions
What is needed in a world
of new and proliferating e-
   learning practices are
research 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???
Examples

• Learning
 analytics
• Social Network
 Analysis
Learning Analytics
    Measurement, collection,
  analysis and reporting of data
     about learners and their
  contexts, for the purposes of
  understanding and optimising
learning and the environments in
         which it occurs

              US Department of Education
We leave trails
everywhere we
go and that data
is valuable
(George
Siemens)
Erik Duval
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
Pedagogies

• Learning analytics to foster:
 • Assessment and feedback
 • Enquiry and sensemaking
 • Discourse
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
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
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
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
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
Social Network Analysis
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
LOOK tool
• Interviews
• Thematic analysis
• Key themes
• Filter by user and
  theme connections

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Conole tel methodologies

  • 1. Researching with and through technologies Gráinne Conole PhD Research Day University of Leicester 14th September 2012
  • 2. landscape Emergent technologies Theory and methodology E-pedagogies, strategies and affordances and learning design Resources, OER and Pedagogical Patterns Evaluations Interventions
  • 3. What is needed in a world of new and proliferating e- learning practices are research 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. Examples • Learning analytics • Social Network Analysis
  • 5. Learning Analytics Measurement, collection, analysis and reporting of data about learners and their contexts, for the purposes of understanding and optimising learning and the environments in which it occurs US Department of Education
  • 6. We leave trails everywhere we go and that data is valuable (George Siemens)
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  • 12. 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
  • 13. Pedagogies • Learning analytics to foster: • Assessment and feedback • Enquiry and sensemaking • Discourse
  • 14. 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
  • 15. 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
  • 16. 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
  • 17. 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
  • 18. 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
  • 20. 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
  • 21. LOOK tool • Interviews • Thematic analysis • Key themes • Filter by user and theme connections