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A review of clustering models in educational data science towards
  fairness-aware learning

A review of clustering models in educational data science towards fairness-aware learning

9 January 2023
Tai Le Quy
Gunnar Friege
Eirini Ntoutsi
    FaML
ArXivPDFHTML

Papers citing "A review of clustering models in educational data science towards fairness-aware learning"

5 / 5 papers shown
Title
FACROC: a fairness measure for FAir Clustering through ROC curves
Tai Le Quy
Long Le Thanh
Lan Luong Thi Hong
Frank Hopfgartner
35
0
0
02 Mar 2025
Anna Karenina Strikes Again: Pre-Trained LLM Embeddings May Favor
  High-Performing Learners
Anna Karenina Strikes Again: Pre-Trained LLM Embeddings May Favor High-Performing Learners
Abigail Gurin Schleifer
Beata Beigman Klebanov
Moriah Ariely
Giora Alexandron
30
2
0
06 Jun 2024
Exploring Fairness in Educational Data Mining in the Context of the
  Right to be Forgotten
Exploring Fairness in Educational Data Mining in the Context of the Right to be Forgotten
Wei Qian
Aobo Chen
Chenxu Zhao
Yangyi Li
Mengdi Huai
MU
34
0
0
27 May 2024
Experts' View on Challenges and Needs for Fairness in Artificial
  Intelligence for Education
Experts' View on Challenges and Needs for Fairness in Artificial Intelligence for Education
Gianni Fenu
Roberta Galici
Mirko Marras
30
17
0
23 Jun 2022
A Survey on Bias and Fairness in Machine Learning
A Survey on Bias and Fairness in Machine Learning
Ninareh Mehrabi
Fred Morstatter
N. Saxena
Kristina Lerman
Aram Galstyan
SyDa
FaML
323
4,212
0
23 Aug 2019
1