Utilitarian concerns increasingly drive machine ethics, particularly the few ethical discussions in learning analytics. Determining the most good for the most people is a responsible way forward, but perhaps not the most comprehensive, especially when assessing potential outcomes. Innovations in learning analytics may occur more rapidly and with better outcomes if informed ethical discussions occur at every step of development.
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Scooped by
Peter Mellow
onto Learning Analytics, Educational Data Mining, Adaptive Learning August 29, 2014 8:18 PM
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