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Study on bias in learning analytics earns Brooks Best Full Research Paper Award at LAK conference
A paper co-authored by University of Michigan School of Information research assistant professor Christopher Brooks received the Best Full Research Paper Award at the International Conference on Learning Analytics & Knowledge (LAK) Conference in Tempe, Arizona. The award was announced on the final day of the conference, March 7, 2019. The paper, “Evaluating the Fairness of Predictive ...