Evaluation of Fairness Trade-offs in Predicting Student Success

30 June 2020

Papers citing "Evaluation of Fairness Trade-offs in Predicting Student Success"

11 / 11 papers shown

Title
Evaluating Algorithmic Bias in Models for Predicting Academic Performance of Filipino Students Valdemar Švábenský M. Verger Maria Mercedes T. Rodrigo Clarence James G. Monterozo Ryan S. Baker Miguel Zenon Nicanor Lerias Saavedra Sébastien Lallé Atsushi Shimada 51 1 0 16 May 2024
The Ethics of AI in Education K. Porayska-Pomsta Wayne Holmes Selena Nemorin 80 90 0 22 Mar 2024
Unraveling Downstream Gender Bias from Large Language Models: A Study on AI Educational Writing Assistance Thiemo Wambsganss Xiaotian Su Vinitra Swamy Seyed Parsa Neshaei Roman Rietsche Tanja Käser 53 19 0 06 Nov 2023
Is Your Model "MADD"? A Novel Metric to Evaluate Algorithmic Fairness for Predictive Student Models M. Verger Sébastien Lallé F. Bouchet Vanda Luengo 63 11 0 24 May 2023
Cross-Institutional Transfer Learning for Educational Models: Implications for Model Performance, Fairness, and Equity Joshua Gardner Renzhe Yu Quan Nguyen Christopher A. Brooks René F. Kizilcec FedML 91 16 0 01 May 2023
A Human-Centered Review of Algorithms in Decision-Making in Higher Education Kelly McConvey Shion Guha Anastasia Kuzminykh 22 22 0 12 Feb 2023
Bias at a Second Glance: A Deep Dive into Bias for German Educational Peer-Review Data Modeling Thiemo Wambsganss Vinitra Swamy Roman Rietsche Tanja Käser 114 8 0 21 Sep 2022
Equity and Fairness of Bayesian Knowledge Tracing Sebastian Tschiatschek Maria Knobelsdorf Adish Singla 37 2 0 04 May 2022
Beyond "Fairness:" Structural (In)justice Lenses on AI for Education Michael A. Madaio Su Lin Blodgett Elijah Mayfield Ezekiel Dixon-Román 41 30 0 18 May 2021
Investigating Trade-offs in Utility, Fairness and Differential Privacy in Neural Networks Marlotte Pannekoek G. Spigler FedML 73 26 0 11 Feb 2021
Algorithmic Fairness in Education René F. Kizilcec Hansol Lee FaML 111 126 0 10 Jul 2020