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Algorithms

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Presentation by Jeremy Knox at University of Edinburgh Open Knowledge Network event, 28th April 2017

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Algorithms

  1. 1. Dr Jeremy Knox The University of Edinburgh @j_k_knox jeremyknox.net
  2. 2. ‘powerful and consequential actors in a wide variety of domains’ (Ziewitz 2015, p3). ‘algorithmic culture’ (Striphas 2015) ‘computational theocracy’ (Bogost 2015) ‘algorithms are now increasingly involved in various forms of social ordering, governance and control’ (Williamson 2014
  3. 3. 1. algorithms must be understood to produce the conditions they purportedly represent, rather than discover an anterior reality or truth (Perrotta & Williamson 2016). In short, algorithms are not passive arbiters for objective insights. 2. a non-deterministic relationship must be understood in the ways algorithms interact with educational practices and experiences. Algorithms ‘are socially produced through mixtures of human and machine activities, as well as being socially productive’ (Williamson 2014). 3. concealment. Not just a matter of protecting competitive market advantage, there may be a necessary clandestine nature to the processes involved, particularly where assessment is concerned. Knox. J. (forthcoming) Beyond the ‘c’ and the ‘x’: learning with algorithms in the MOOC. International Review of Education Special Issue Learning paradigms
  4. 4. Calculated learners [w]hen Amazon recommends a book that "customers like you" bought, it is invoking and claiming to know a public with which we are invited to feel an affinity’ (Gillespie 2014, p188). ‘seven distinct patterns of engagement: Samplers, Strong Starters, Returners, Mid-way Dropouts, Nearly There, Late Completers and Keen Completers’ (Fergusson and Clow 2015, p1). identifying user roles by comparing patterns of social and semantic exchange, and modelling discussion in terms of ‘information-seeking and corresponding information-giving posts’ (Hecking et al. 2016, p198). Poquet & Dawson analyse the formation of distinct networks of MOOC learners (2016). an ‘algorithmic presentation of publics back to themselves that shapes a public’s sense of itself’ (Williamson 2014).
  5. 5. Learning with algorithms? Can we attribute the ‘social construction’ of learning exclusively to the human beings in the MOOC community or network where algorithms also play a part in the calculating of groups and communicative practices of participants?

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