FairEd: A Systematic Fairness Analysis Approach Applied in a Higher Educational Context

Author:

Vasquez Verdugo Jonathan1,Gitiaux Xavier2,Ortega Cesar3,Rangwala Huzefa4

Affiliation:

1. Computer Science, George Mason University, United States and Ingenieria en Informacion y Control de Gestion, Universidad de Valparaiso, Chile

2. Computer Science, George Mason University, United States

3. Facultad de Economia y Negocios, Universidad de Chile, Chile

4. George Mason University, United States

Publisher

ACM

Reference70 articles.

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2. Alekh Agarwal Alina Beygelzimer Miroslav Dudík John Langford and Hanna Wallach. 2018. A reductions approach to fair classification. arXiv preprint arXiv:1803.02453(2018). Alekh Agarwal Alina Beygelzimer Miroslav Dudík John Langford and Hanna Wallach. 2018. A reductions approach to fair classification. arXiv preprint arXiv:1803.02453(2018).

3. Lovenoor Aulck , Dev Nambi , Nishant Velagapudi , Joshua Blumenstock , and Jevin West . 2019. Mining University Registrar Records to Predict First-Year Undergraduate Attrition . International Educational Data Mining Society ( 2019 ). Lovenoor Aulck, Dev Nambi, Nishant Velagapudi, Joshua Blumenstock, and Jevin West. 2019. Mining University Registrar Records to Predict First-Year Undergraduate Attrition.International Educational Data Mining Society (2019).

4. Ryan  S. Baker and Aaron Hawn . 2021 . lgorithmic Bias in Education. EdArXiv ( 2021). Ryan S. Baker and Aaron Hawn. 2021. lgorithmic Bias in Education. EdArXiv (2021).

5. John  P Bean . 1980. Dropouts and turnover: The synthesis and test of a causal model of student attrition. Research in higher education 12, 2 ( 1980 ), 155–187. John P Bean. 1980. Dropouts and turnover: The synthesis and test of a causal model of student attrition. Research in higher education 12, 2 (1980), 155–187.

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