Applying Analytics for a Learning Portal (LAK 2011)
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Applying Analytics for a Learning Portal (LAK 2011)

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Study on Google Analytics set up for a Learning Portal on Organic Agriculture & Agroecology

Study on Google Analytics set up for a Learning Portal on Organic Agriculture & Agroecology

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Applying Analytics for a Learning Portal (LAK 2011) Applying Analytics for a Learning Portal (LAK 2011) Presentation Transcript

  • Applying Analytics for a Learning Portal: the Organic.Edunet Case Study Vassilis Protonotarios, Nikos Palavitsinis , Nikos Manouselis Greek Research & Technology Network 1 st International Conference on Learning Analytics and Knowledge 2011
  • pre-intro
    • Overwhelmed by LAK 2011
    • We used Google Analytics for this paper
    • Originally deployed for reporting purposes
    • METADATA : This presentation has 18 more slides (9 of them with pictures/figures)
  • about Organic.Edunet
    • Completed eContentPlus project (10/2007 – 10/2010) funded with 2.5M €
    • Main objective : Make learning content on Organic Agriculture and Agro-ecology available online, for a range of stakeholders.
    • And : Develop educational scenarios to be used within schools & universities
  • Organic.Edunet Portal
    • Went online on January 2010 (13 months)
      • www.organic-edunet.eu
    • 30.700 visits
    • 146.100 page views
    • 21.400 unique visitors
    • 150 countries
    • 10.900 resources
    • 1.800 registered users
    • 22.100
    • 120.000
    • 14.300
    • 130
    • same
    • 1.000
    • 3 months ago
  •  
  • open days
    • Validation events organized in all countries of the project partners, where users from institutions outside the project worked with the portal
    • Predefined program for each “Open Day” & structured portal exercises which also allowed for unstructured interaction with the portal
  • research question
    • How do the usage statistics both on the portal level but also on the individual user level, change, after a series of training events on the portal is organized?
    • Do the users take full advantage of the portal functionalities we developed?
  • methodology
    • Statistics that concern the Portal as a whole
      • Visits per day, page views per day
      • Visitors per day, origin of visits
      • Bounces per day & most popular pages
    • Statistics that concern each individual user
      • Average time on portal, average time on page
      • Pages per visit, depth of visit, user loyalty
  • methodology
    • Study these statistics in three distinct periods
      • Pre-Open Day, During & Post-Open Day
    • Two groups of Open Days where organized one during April-May 2010 and another during August-September 2010
    • 160 participants in 13 Open Days
  • timeline March 2010 May 2010 August 2010 September 2010 January 2010 November 2010 During-OD Post-OD
  • portal statistics
  • visit sources
  • popular pages 2 2 2 4 4 Tag search 17 14 14 9 6 Semantic Search 5 9 7 14 12 Browse 6 5 7 5 15 Educational Scenarios 3 27 18 30 30 How to S earch 5 9 73 49 61 51 Text-based S earch 81 1 36 118 138 102 Homepage Post-OD2 OD2 Post-OD1 OD1 Pre-OD Visits per day
  • depth of visit A deep visitor would open more pages in one visit than the average pages per visit of the portal for the same period of reference
  • visitor loyalty A loyal visitor is defined as the one coming back to the Organic.Edunet Portal more than once per week
  • some conclusions
    • Traditional text-based search prevails over other means of searching,
    • More users keep coming to the portal, spending less time on it, viewing less pages
    • More users keep coming to the portal but also bouncing off of it
  • let’s take one step back
    • TAKEN FROM: http://www.adventuresoutwest.com/climber-cartoon-web-style.jpg
    What? Go back down?
  • lots of variables to consider
    • Language of the resources available?
    • Seasonality (schools & universities)
    • “ Black box” of each Open Day
    • Cultural differences?
    • Affiliation strategy of the project & press releases
  • open issues
    • Deployment of a different approach on analytics that will allow in-depth statistics to be recorded?
    • Sophisticated analysis of existing statistics?
    • Also examine user ratings, comments, bookmarks in relation to these statistics
    • How far can we go?
  • Thank you! 1 st International Conference on Learning Analytics and Knowledge 2011 [email_address] 30/5 – 3/6 www.jtelsummerschool.eu PhD students: 18/3/2011 PhD advisors: 31/3/2011