FaireduPlus: Enhancing Intersectional Fairness in Education-Focused Machine Learning Using Synthetic Data

This repository contains dataset for running FaireduPlus with the original dataset (i.e student performance [1], student oulad [2], student dropout [3], and DNU dataset) and their coressponding generated dataset from CTGAN and SDGX LLM.

Reference:

[1] Cortez, P. (2008). Student Performance [Dataset]. UCI Machine Learning Repository. https://doi.org/10.24432/C5TG7T.

[2] Kuzilek, J., Hlosta, M., & Zdrahal, Z. (2015). Open University Learning Analytics dataset [Dataset]. UCI Machine Learning Repository. https://doi.org/10.24432/C5KK69.

[3] Realinho, V., Vieira Martins, M., Machado, J., & Baptista, L. (2021). Predict Students' Dropout and Academic Success [Dataset]. UCI Machine Learning Repository. https://doi.org/10.24432/C5MC89.