Learning Analytics, Notes from a Talk by George Siemens at EDUCAUSE 2011

Brief notes reflecting my key points from the presentation by George Siemens, @gsiemens, at EDUCAUSE Conference 2011 entitled ‘Transforming Learning Through Analytics‘. At about 15 minutes, this is time very well spent. (These notes are also shared via a public Evernote link.)

Relevant books:


Analytics and visualizations experts = data scientists

Personal productivity www.rescuetime.com

Empower end-users by giving access to and means of interrogating data

Personal data reveals our sentiments, our attitudes, our social connections, our intentions and what we might do next.

Learning analytics is the measurement, collection, analysis and reporting of data about learners and their learning contexts, in order to understand and optimize learning and the environments in which it occurs.

Use learning analytics for: learner success, use of university services, predicting at-risk learners, understand help-seeking behavior, alerts, interventions, learner dashboard, path of concept development, real-time analytics

Not all analytics are learning analytics, these are not:

  • Classroom optimization
  • Staff allocation and performance
  • Web analytics, time on page

Analytics are pervasive in their negative influence

Analytics need to rooted in learning sciences

Analytics produce patterns, not insight – only human have this

Open learning analytics architecture (see diagram below)

  • Integrated 
  • Modular
  • Extensible


Society for Learning Analytics Research, SOLAR, www.solaresearch.org

Learning Analytics Open online course 23 Jan – 17 Mar 2012

LAK2012 Conference, Vancouver, 29 Apr-2 May 2012 http://lak12.sites.olt.ubc.ca


About Michael Rees
Academic in IT interested in Web 2.0 and social media

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