Investigating the efficacy of algorithmic student modelling in predicting students at risk of failing in tertiary education

Geraldine Gray, Colm McGuinness, Philip Owende. Investigating the efficacy of algorithmic student modelling in predicting students at risk of failing in tertiary education. In Sidney K. D'Mello, Rafael A. Calvo, Andrew Olney, editors, Proceedings of the 6th International Conference on Educational Data Mining, Memphis, Tennessee, USA, July 6-9, 2013. pages 378-380, International Educational Data Mining Society, 2013. [doi]

@inproceedings{GrayMO13a,
  title = {Investigating the efficacy of algorithmic student modelling in predicting students at risk of failing in tertiary education},
  author = {Geraldine Gray and Colm McGuinness and Philip Owende},
  year = {2013},
  url = {http://www.educationaldatamining.org/EDM2013/papers/rn_paper_89.pdf},
  researchr = {https://researchr.org/publication/GrayMO13a},
  cites = {0},
  citedby = {0},
  pages = {378-380},
  booktitle = {Proceedings of the 6th International Conference on Educational Data Mining, Memphis, Tennessee, USA, July 6-9, 2013},
  editor = {Sidney K. D'Mello and Rafael A. Calvo and Andrew Olney},
  publisher = {International Educational Data Mining Society},
  isbn = {978-0-9839525-2-7},
}