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Evaluation of Fairness Trade-offs in Predicting Student Success

Evaluation of Fairness Trade-offs in Predicting Student Success

30 June 2020
Hansol Lee
René F. Kizilcec
ArXiv (abs)PDFHTML

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
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
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
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
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
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
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
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
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
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
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
Algorithmic Fairness in Education
René F. Kizilcec
Hansol Lee
FaML
111
126
0
10 Jul 2020
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