Towards a General Purpose Anomaly Detection Method to Identify Cheaters in Massive Open Online Courses

Giora Alexandron, José A. Ruipérez Valiente, David E. Pritchard. Towards a General Purpose Anomaly Detection Method to Identify Cheaters in Massive Open Online Courses. In Michel C. Desmarais, Collin F. Lynch, Agathe Merceron, Roger Nkambou, editors, Proceedings of the 12th International Conference on Educational Data Mining, EDM 2019, Montréal, Canada, July 2-5, 2019. International Educational Data Mining Society (IEDMS), 2019. [doi]

@inproceedings{AlexandronVP19,
  title = {Towards a General Purpose Anomaly Detection Method to Identify Cheaters in Massive Open Online Courses},
  author = {Giora Alexandron and José A. Ruipérez Valiente and David E. Pritchard},
  year = {2019},
  url = {https://drive.google.com/file/d/1rJMsZ0FrbQnGXpmSUQF8qtBHU0bPMkYH},
  researchr = {https://researchr.org/publication/AlexandronVP19},
  cites = {0},
  citedby = {0},
  booktitle = {Proceedings of the 12th International Conference on Educational Data Mining, EDM 2019, Montréal, Canada, July 2-5, 2019},
  editor = {Michel C. Desmarais and Collin F. Lynch and Agathe Merceron and Roger Nkambou},
  publisher = {International Educational Data Mining Society (IEDMS)},
}