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Paquette, Luc; Ocumpaugh, Jaclyn; Li, Ziyue; Andres, Alexandra; Baker, Ryan – Journal of Educational Data Mining, 2020
The growing use of machine learning for the data-driven study of social issues and the implementation of data-driven decision processes has required researchers to re-examine the often implicit assumption that datadriven models are neutral and free of biases. The careful examination of machine-learned models has identified examples of how existing…
Descriptors: Demography, Educational Research, Information Retrieval, Data Analysis