7 Change

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Examining issues of/reasons for change around learning analytics. Part of the slides for a workshop titled "Four questions for understanding Learning Analytics" by @beerc and @djplaner

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7 Change

  1. 1. Change • Cycles impacting analytics • Types of change • What needs to change • Barriers to change • How might change happen
  2. 2. http://www.flickr.com/photos/nagillum/504973920/ https://twitter.com/phillipdawson/status/273906845301764096
  3. 3. http://flickr.com/photos/tonymangan/754511201/ Pitfalls data warehouse development is dominated by central IT departments that have little experience with decision support. A common theme in industry conferences and professional books is the rediscovery of fundamental DSS principles like evolutionary development (Arnot & Pervan, 2005)
  4. 4. (Clow 2012, p. 135) • A learning analytics system may be used simply to attempt to achieve set goals (single- loop learning); greater value and insight will come if those goals themselves can be interrogated, challenged, and developed (double-loop learning).
  5. 5. What needs to be changed? • Information – Sources – Analysis • Representation – Iterative development • Affordances

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