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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>Manolis Mavrikis</title>
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      <pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate>
      
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      <description>Manolis Mavrikis is a Senior Research Fellow on Technology-Enhanced Learning in the London Knowledge Lab. His research lies at the intersection of&amp;nbsp;artificial intelligence, human-computer interaction and machine-learning and aims to design and evaluate transformative intelligent technologies for learning and teaching.</description>
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      <title>Patricia Charlton</title>
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      <pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate>
      
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      <description>Patricia Charlton is a researcher on artificial intelligence, cognitive science and technology-enhanced learning. She has recently researched and designed knowledge co-construction systems using computational reflection and meta-level inferencing techniques.</description>
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