Detecting Cheaters in MOOCs Using Item Response Theory and Learning Analytics

Giora Alexandron, Sunbok Lee, Zhongzhou Chen, David E. Pritchard. Detecting Cheaters in MOOCs Using Item Response Theory and Learning Analytics. In Federica Cena, Michel Desmarais, Darina Dicheva, editors, Late-breaking Results, Posters, Demos, Doctoral Consortium and Workshops Proceedings of the 24th ACM Conference on User Modeling, Adaptation and Personalisation (UMAP 2016), Halifax, Canada, July 13-16, 2016. Volume 1618 of CEUR Workshop Proceedings, CEUR-WS.org, 2016. [doi]

@inproceedings{AlexandronLCP16,
  title = {Detecting Cheaters in MOOCs Using Item Response Theory and Learning Analytics},
  author = {Giora Alexandron and Sunbok Lee and Zhongzhou Chen and David E. Pritchard},
  year = {2016},
  url = {http://ceur-ws.org/Vol-1618/PALE9.pdf},
  researchr = {https://researchr.org/publication/AlexandronLCP16},
  cites = {0},
  citedby = {0},
  booktitle = {Late-breaking Results, Posters, Demos, Doctoral Consortium and Workshops Proceedings of the 24th ACM Conference on User Modeling, Adaptation and Personalisation (UMAP 2016), Halifax, Canada, July 13-16, 2016},
  editor = {Federica Cena and Michel Desmarais and Darina Dicheva},
  volume = {1618},
  series = {CEUR Workshop Proceedings},
  publisher = {CEUR-WS.org},
}