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    <title>Educational Data Mining on Ariadne</title>
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    <description>Recent content in Educational Data Mining on Ariadne</description>
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      <title>Editorial Introduction to Issue 71</title>
      <link>http://www.ariadne.ac.uk/issue/71/editorial2/</link>
      <pubDate>Tue, 16 Jul 2013 23:00:00 +0000</pubDate>
      
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      <description>As I depart this chair after the preparation of what I thought would be the last issue of Ariadne [1], I make no apology for the fact that I did my best to include as much material&amp;nbsp; to her ‘swan song’ as possible. With the instruction to produce only one more issue this year, I felt it was important to publish as much of the content in the pipeline as I could.</description>
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      <title>The Potential of Learning Analytics and Big Data</title>
      <link>http://www.ariadne.ac.uk/issue/71/charlton-et-al/</link>
      <pubDate>Mon, 08 Jul 2013 23:00:00 +0000</pubDate>
      
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      <description>&amp;nbsp;‘Not everything that can be counted counts, and not everything that counts can be counted.’ Attributed to Albert Einstein
In the last decade we have had access to data that opens up a new world of potential evidence ranging from indicating how children might learn their first word to the use of millions of mathematical models to predict outbreaks of flu. We explore the potential impact of learning analytics and big data for the future of learning and teaching.</description>
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