Predicting Student Progress from Peer-Assessment Data

Michael Mogessie Ashenafi, Marco Ronchetti, Giuseppe Riccardi. Predicting Student Progress from Peer-Assessment Data. In Tiffany Barnes, Min Chi, Mingyu Feng, editors, Proceedings of the 9th International Conference on Educational Data Mining, EDM 2016, Raleigh, North Carolina, USA, June 29 - July 2, 2016. pages 270-275, International Educational Data Mining Society (IEDMS), 2016. [doi]

@inproceedings{AshenafiRR16,
  title = {Predicting Student Progress from Peer-Assessment Data},
  author = {Michael Mogessie Ashenafi and Marco Ronchetti and Giuseppe Riccardi},
  year = {2016},
  url = {http://www.educationaldatamining.org/EDM2016/proceedings/paper_26.pdf},
  researchr = {https://researchr.org/publication/AshenafiRR16},
  cites = {0},
  citedby = {0},
  pages = {270-275},
  booktitle = {Proceedings of the 9th International Conference on Educational Data Mining, EDM 2016, Raleigh, North Carolina, USA, June 29 - July 2, 2016},
  editor = {Tiffany Barnes and Min Chi and Mingyu Feng},
  publisher = {International Educational Data Mining Society (IEDMS)},
}