Confronting Big Data and Learning Analytics @ #altc2012

Next Thursday morning I’m participating in the Big Data and Learning Analytics symposium at ALT-C 2012 with colleagues from the OU, Simon BuckinghamShum, Rebecca Ferguson, Naomi Jeffery, Kevin Mayles and Richard Nurse.

The session will start will a brief overview from me of the analytics reconnoitre that CETIS is currently undertaking for JISC, followed by short overviews from different parts of the OU on a number of analytics projects and initiatives being undertaken there. We hope the session will:

“air some of the critical arguments around the limits of decontextualised data and automated analytics, which often appear reductionist in nature, failing to illuminate higher order learning. There are complex ethical issues around data fusion, and it is not clear to what extent learners are empowered, in contrast to being merely the objects of tracking technology. Educators may also find themselves at the receiving end of a new battery of institutional ‘performance indicators’ that do not reflect what they consider to be authentic learning and teaching.”

We’re really keen to have open discussion with delegates and engage with their views and experiences in relation to big data and learning analytics. So, come and join us bright and early (well, 9am) on Thursday. If you can’t make the session, but have some views/experiences then please feel free to leave comments here and I’ll do my best to raise them at the session and in my write up of the it.

More information about the session is available here.

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