Graham Attwell points to 'Predicting Employment through Machine Learning' by Linsey S. Hugo and comments that it "confirms some of my worries about the use of machine learning in education." The idea is that student records could be used to predict a student's performance on employers' desirable skills. However, say Attwell, "it reduces the purpose of degree level education to employment." Additionally, "it accepts that employers call the shots through proxies based on unquestioned and unchallenged 'well recognised skills'" which may disguise bias against certain social groups. All true, except, how is this different from the current system, other than that it uses technology to do this?
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