S. Riazy

Köchling, A. ., Riazy, S. ., Wehner, M. C., & Simbeck, K. . (2020). Highly Accurate, But Still Discriminatory. A Fairness Evaluation of Algorithmic Video Analysis in the Recruitment Context. Springer Verlag . https://doi.org/https://doi.org/10.1007/s12599-020-00673-w

Riazy, S. ., & Simbeck, K. . (2019). Predictive Algorithms in Learning Analytics and their Fairness. Die 17. Fachtagung Bildungstechnologien, Lecture Notes in Informatics (LNI). Presented at the. https://doi.org/10.18420/delfi2019_305

Köchling, A. ., & Riazy, S. . (2019). Fluch oder Segen?: Big Data und Learning Analytics im Lernkontext. In weiter bilden 2019 (4) KI und Learning Analytics in der Erwachsenenbildung. Bielefeld: wbv media. https://doi.org/10.3278/WBDIE1904W017

Simbeck, K. ., Riazy, S. ., & Schreck, V. . (2020). Fairness in Learning Analytics: Student At-risk Prediction in Virtual Learning Environments. https://doi.org/10.5220/0009324100150025

Riazy, S. ., Simbeck, K. ., Woestenfeld, R. ., & Träger, M. . (2020). Prior Knowledge as a Predictor for Persistence. https://doi.org/10.5220/0009324201370144

Riazy, S. ., Simbeck, K. ., & Weller, S. . (2020). Evaluation of Low-threshold Programming Learning Environments for the Blind and Partially Sighted. https://doi.org/10.5220/0009448603660373