This week gave me chance to delve into ideas around ‘Big Data’, ‘Data-Mining’ and learning analytics. Hearing the term ‘Big Data’ at various meetings over the last year, I realised that the focus was always on the data itself, rather than the methods used to ‘mine’ it. We know that detailed analytics gives us further understanding of a learner’s progress, but… Read more →
Common Core – Education? No, it’s about data-mining http://t.co/dyvOznjyci via @worldnetdaily #mscedc
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@emberday @sbayne @NicholasJenkin8 Its difficult to get universal currency on the digital badges,but there could be something in it. #mscedc
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The death of the theorist and the emergence of data and algorithms in digital social research. http://t.co/Cq1ciADODs #mscedc
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Algorithms can follow us throughout our educational lives, from ‘cradle to career’ #mscedc
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@majoos_emlyn I would have to agree, but then again, we are providing the input for these recommendations. #mscedc
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@mkmscde @sbayne We allow them to see into our lives, our interests and dreams.In return,they ‘predict us’ through recommendations #mscedc
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Data visualisation with predictive learning analytics #edtech #learninganalytics http://t.co/JD1UJHVuoG #mscedc
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What Universities Can Learn from Big Data – Higher Education Analytics https://t.co/hN9OBlWbPS #mscedc
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Week 8 Lifestream review
Reading through the Knox (2014) paper, the prominent idea seemed to be a ‘shift in control’ when creating resources for learners. It wasn’t long ago that tutors would keep total control over their ‘home (institutional) made’ resources, but now thanks to the possibilities online learning can offer, there is a large emphasis on ‘sharing good practice’ as well as ideas and resources.… Read more →