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Direct linkLin Li; Namrata Srivastava; Jia Rong; Quanlong Guan; Dragan Gaševic; Guanliang Chen – British Journal of Educational Technology, 2025
The use of predictive analytics powered by machine learning (ML) to model educational data has increasingly been identified to exhibit bias towards marginalized populations, prompting the need for more equitable applications of these techniques. To tackle bias that emerges in training data or models at different stages of the ML modelling…
Descriptors: Bias, Attitude Change, Prediction, Learning Analytics
