Predicting Academic Performance: A Bootstrapping Approach for Learning Dynamic Bayesian Networks

Mashael Al-luhaybi, Leila Yousefi, Stephen Swift, Steve Counsell, Allan Tucker. Predicting Academic Performance: A Bootstrapping Approach for Learning Dynamic Bayesian Networks. In Seiji Isotani, Eva Millán, Amy Ogan, Peter M. Hastings, Bruce M. McLaren, Rose Luckin, editors, Artificial Intelligence in Education - 20th International Conference, AIED 2019, Chicago, IL, USA, June 25-29, 2019, Proceedings, Part I. Volume 11625 of Lecture Notes in Computer Science, pages 26-36, Springer, 2019. [doi]

@inproceedings{Al-LuhaybiYSCT19,
  title = {Predicting Academic Performance: A Bootstrapping Approach for Learning Dynamic Bayesian Networks},
  author = {Mashael Al-luhaybi and Leila Yousefi and Stephen Swift and Steve Counsell and Allan Tucker},
  year = {2019},
  doi = {10.1007/978-3-030-23204-7_3},
  url = {https://doi.org/10.1007/978-3-030-23204-7_3},
  researchr = {https://researchr.org/publication/Al-LuhaybiYSCT19},
  cites = {0},
  citedby = {0},
  pages = {26-36},
  booktitle = {Artificial Intelligence in Education - 20th International Conference, AIED 2019, Chicago, IL, USA, June 25-29, 2019, Proceedings, Part I},
  editor = {Seiji Isotani and Eva Millán and Amy Ogan and Peter M. Hastings and Bruce M. McLaren and Rose Luckin},
  volume = {11625},
  series = {Lecture Notes in Computer Science},
  publisher = {Springer},
  isbn = {978-3-030-23204-7},
}