ML Anthology

Co-Rank: An Online Tool for Collectively Deciding Efficient Rankings Among Peers

Ioannis Caragiannis, George A. Krimpas, Marianna Panteli, Alexandros A. Voudouris
AAAI 2016 pp. 4351-4352
doi:10.1609/AAAI.V30I1.9832 /aaai/2016/caragiannis2016aaai-co/

Abstract

Our aim with co-rank is to facilitate the grading of exams or assignments in massive open online courses (MOOCs).

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Cite

Text

Caragiannis et al. "Co-Rank: An Online Tool for Collectively Deciding Efficient Rankings Among Peers." AAAI Conference on Artificial Intelligence, 2016. doi:10.1609/AAAI.V30I1.9832

Markdown

[Caragiannis et al. "Co-Rank: An Online Tool for Collectively Deciding Efficient Rankings Among Peers." AAAI Conference on Artificial Intelligence, 2016.](https://mlanthology.org/aaai/2016/caragiannis2016aaai-co/) doi:10.1609/AAAI.V30I1.9832

BibTeX

@inproceedings{caragiannis2016aaai-co,
  title     = {{Co-Rank: An Online Tool for Collectively Deciding Efficient Rankings Among Peers}},
  author    = {Caragiannis, Ioannis and Krimpas, George A. and Panteli, Marianna and Voudouris, Alexandros A.},
  booktitle = {AAAI Conference on Artificial Intelligence},
  year      = {2016},
  pages     = {4351-4352},
  doi       = {10.1609/AAAI.V30I1.9832},
  url       = {https://mlanthology.org/aaai/2016/caragiannis2016aaai-co/}
}