Novel features for capturing cooccurrence behavior in dyadic collaborative problem solving tasks

Vikram Ramanarayanan, Saad Khan. Novel features for capturing cooccurrence behavior in dyadic collaborative problem solving tasks. 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 620-621, International Educational Data Mining Society (IEDMS), 2016. [doi]

@inproceedings{RamanarayananK16,
  title = {Novel features for capturing cooccurrence behavior in dyadic collaborative problem solving tasks},
  author = {Vikram Ramanarayanan and Saad Khan},
  year = {2016},
  url = {http://www.educationaldatamining.org/EDM2016/proceedings/paper_81.pdf},
  researchr = {https://researchr.org/publication/RamanarayananK16},
  cites = {0},
  citedby = {0},
  pages = {620-621},
  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)},
}