Predicting Short- and Long-Term Vocabulary Learning via Semantic Features of Partial Word Knowledge

SungJin Nam, Gwen A. Frishkoff, Kevyn Collins-Thompson. Predicting Short- and Long-Term Vocabulary Learning via Semantic Features of Partial Word Knowledge. In Xiangen Hu, Tiffany Barnes, Arnon Hershkovitz, Luc Paquette, editors, Proceedings of the 10th International Conference on Educational Data Mining, EDM 2017, Wuhan, Hubei, China, June 25-28, 2017. International Educational Data Mining Society (IEDMS), 2017. [doi]

@inproceedings{NamFC17,
  title = {Predicting Short- and Long-Term Vocabulary Learning via Semantic Features of Partial Word Knowledge},
  author = {SungJin Nam and Gwen A. Frishkoff and Kevyn Collins-Thompson},
  year = {2017},
  url = {http://educationaldatamining.org/EDM2017/proc_files/papers/paper_65.pdf},
  researchr = {https://researchr.org/publication/NamFC17},
  cites = {0},
  citedby = {0},
  booktitle = {Proceedings of the 10th International Conference on Educational Data Mining, EDM 2017, Wuhan, Hubei, China, June 25-28, 2017},
  editor = {Xiangen Hu and Tiffany Barnes and Arnon Hershkovitz and Luc Paquette},
  publisher = {International Educational Data Mining Society (IEDMS)},
}