Use of Wearable Technologies with Machine Learning to Understand University Student Learning Behaviours to Predict Students at Risk of Failing

Aidan McGowan, Phil Hanna, Des Greer, John Busch, Neil Anderson, Matthew Collins, David Cutting, Darryl Stewart, Andrew McDowell. Use of Wearable Technologies with Machine Learning to Understand University Student Learning Behaviours to Predict Students at Risk of Failing. In Tareq Z. Ahram, Redha Taïar, Serge Colson, Arnaud Choplin, editors, Human Interaction and Emerging Technologies - Proceedings of the 1st International Conference on Human Interaction and Emerging Technologies, IHIET 2019, Nice, France, August 22-24, 2019. Volume 1018 of Advances in Intelligent Systems and Computing, pages 325-331, Springer, 2019. [doi]

@inproceedings{McGowanHGBACCSM19,
  title = {Use of Wearable Technologies with Machine Learning to Understand University Student Learning Behaviours to Predict Students at Risk of Failing},
  author = {Aidan McGowan and Phil Hanna and Des Greer and John Busch and Neil Anderson and Matthew Collins and David Cutting and Darryl Stewart and Andrew McDowell},
  year = {2019},
  doi = {10.1007/978-3-030-25629-6_50},
  url = {https://doi.org/10.1007/978-3-030-25629-6_50},
  researchr = {https://researchr.org/publication/McGowanHGBACCSM19},
  cites = {0},
  citedby = {0},
  pages = {325-331},
  booktitle = {Human Interaction and Emerging Technologies - Proceedings of the 1st International Conference on Human Interaction and Emerging Technologies, IHIET 2019, Nice, France, August 22-24, 2019},
  editor = {Tareq Z. Ahram and Redha Taïar and Serge Colson and Arnaud Choplin},
  volume = {1018},
  series = {Advances in Intelligent Systems and Computing},
  publisher = {Springer},
  isbn = {978-3-030-25629-6},
}