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    <title>Learning Analytics on Ariadne</title>
    <link>http://www.ariadne.ac.uk/buzz/learning-analytics/</link>
    <description>Recent content in Learning Analytics on Ariadne</description>
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      <title>LinkedUp: Linking Open Data for Education</title>
      <link>http://www.ariadne.ac.uk/issue/72/guy-et-al/</link>
      <pubDate>Wed, 26 Mar 2014 00:00:00 +0000</pubDate>
      
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      <description>In the past, discussions around Open Education have tended to focus on content and primarily Open Educational Resources (OER), freely accessible, openly licensed resources that are used for teaching, learning, assessment and research purposes. However Open Education is a complex beast made up of many aspects, of which the opening up of data is one important element.
When one mentions open data in education a multitude of questions arise: from the technical (what is open data?</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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      <title>Eduserv Symposium 2012: Big Data, Big Deal?</title>
      <link>http://www.ariadne.ac.uk/issue/69/eduserv-2012-rpt/</link>
      <pubDate>Mon, 30 Jul 2012 23:00:00 +0000</pubDate>
      
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      <description>The annual Eduserv Symposium [1] was billed as a ‘must-attend event for IT professionals in Higher Education’; the choice of topical subject matter being one of the biggest crowd-drawers (the other being the amazing venue: the Royal College of Physicians). The past few years have seen coverage of highly topical areas such as virtualisation and the cloud, the mobile university and access management. This year’s theme of big data is certainly stimulating interest, but what exactly are the implications for those working in research, learning, and operations in Higher Education?</description>
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