Corpus ID: 237532124

Auditing Fairness and Imputation Impact in Predictive Analytics for Higher Education

@article{Anahideh2021AuditingFA,
  title={Auditing Fairness and Imputation Impact in Predictive Analytics for Higher Education},
  author={Hadis Anahideh and Nazanin Nezami and Denisa G{\'a}ndara},
  journal={ArXiv},
  year={2021},
  volume={abs/2109.07908}
}
Nowadays, colleges and universities use predictive analytics in a variety of ways to increase student success rates. Despite the potentials for predictive analytics, there exist two major barriers to their adoption in higher education: (a) the lack of democratization in deployment, and (b) the potential to exacerbate inequalities. Education researchers and policymakers encounter numerous challenges in deploying predictive modeling in practice. These challenges present in different steps of… 

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