A Data Mining Approach to Understanding Curriculum-Level Factors That Help Students Persist and Graduate

Paul Previde, Celia Graterol, Mary Beth Love, Hui Yang. A Data Mining Approach to Understanding Curriculum-Level Factors That Help Students Persist and Graduate. In IEEE Frontiers in Education Conference, FIE 2019, Cincinnati, OH, USA, October 16-19, 2019. pages 1-9, IEEE, 2019. [doi]

@inproceedings{PrevideGLY19,
  title = {A Data Mining Approach to Understanding Curriculum-Level Factors That Help Students Persist and Graduate},
  author = {Paul Previde and Celia Graterol and Mary Beth Love and Hui Yang},
  year = {2019},
  doi = {10.1109/FIE43999.2019.9028488},
  url = {https://doi.org/10.1109/FIE43999.2019.9028488},
  researchr = {https://researchr.org/publication/PrevideGLY19},
  cites = {0},
  citedby = {0},
  pages = {1-9},
  booktitle = {IEEE Frontiers in Education Conference, FIE 2019, Cincinnati, OH, USA, October 16-19, 2019},
  publisher = {IEEE},
  isbn = {978-1-7281-1746-1},
}