Towards Accurate and Fair Prediction of College Success: Evaluating Different Sources of Student Data

Renzhe Yu, Qiujie Li, Christian Fischer, Shayan Doroudi, Di Xu. Towards Accurate and Fair Prediction of College Success: Evaluating Different Sources of Student Data. In Anna N. Rafferty, Jacob Whitehill, Cristóbal Romero, Violetta Cavalli-Sforza, editors, Proceedings of the 13th International Conference on Educational Data Mining, EDM 2020, Fully virtual conference, July 10-13, 2020. International Educational Data Mining Society, 2020. [doi]

@inproceedings{YuLFDX20,
  title = {Towards Accurate and Fair Prediction of College Success: Evaluating Different Sources of Student Data},
  author = {Renzhe Yu and Qiujie Li and Christian Fischer and Shayan Doroudi and Di Xu},
  year = {2020},
  url = {https://educationaldatamining.org/files/conferences/EDM2020/papers/paper_194.pdf},
  researchr = {https://researchr.org/publication/YuLFDX20},
  cites = {0},
  citedby = {0},
  booktitle = {Proceedings of the 13th International Conference on Educational Data Mining, EDM 2020, Fully virtual conference, July 10-13, 2020},
  editor = {Anna N. Rafferty and Jacob Whitehill and Cristóbal Romero and Violetta Cavalli-Sforza},
  publisher = {International Educational Data Mining Society},
  isbn = {978-1-7336736-1-7},
}