Data-driven Student Advisory and Potential Direct Discrimination - A Literature Review on Machine Learning for Predicting Students’ Academic Success

Authors

Schoemer, Daniel

Laumer, Sven

Wilbers, Karl

Wolbring, Tobias

Weigert, Jonas

Treischl, Edgar

Published

January 1, 2021

Citation: BibTeX

@inproceedings{SchoemerLaumerWilbersEtAl2021,
  author     = {Schoemer, Daniel and Laumer, Sven and Wilbers, Karl and Wolbring, Tobias and Weigert, Jonas and Treischl, Edgar},
  booktitle  = {Americas Conference on Information Systems},
  title      = {Data-driven Student Advisory and Potential Direct Discrimination - A Literature Review on Machine Learning for Predicting Students' Academic Success},
  year       = {2021},
  url        = {https://aisel.aisnet.org/amcis2021/social_inclusion/social_inclusion/10}
}

Citation: RIS

TY  - CONF
AU  - Schoemer, Daniel
AU  - Laumer, Sven
AU  - Wilbers, Karl
AU  - Wolbring, Tobias
AU  - Weigert, Jonas
AU  - Treischl, Edgar
TI  - Data-driven Student Advisory and Potential Direct Discrimination - A Literature Review on Machine Learning for Predicting Students' Academic Success
T2  - Americas Conference on Information Systems
PY  - 2021
UR  - https://aisel.aisnet.org/amcis2021/social_inclusion/social_inclusion/10
ER  -