The good, the bad, and the ugly: mining for patterns in student source code

Kim Mens, Siegfried Nijssen, Hoang-Son Pham. The good, the bad, and the ugly: mining for patterns in student source code. In Andreea Vescan, Camelia Serban, Julie Henry, Upsorn Praphamontripong, editors, EASEAI 2021: Proceedings of the 3rd International Workshop on Education through Advanced Software Engineering and Artificial Intelligence, Athens, Greece, 23 August 2021. pages 1-8, ACM, 2021. [doi]

@inproceedings{MensNP21,
  title = {The good, the bad, and the ugly: mining for patterns in student source code},
  author = {Kim Mens and Siegfried Nijssen and Hoang-Son Pham},
  year = {2021},
  doi = {10.1145/3472673.3473958},
  url = {https://doi.org/10.1145/3472673.3473958},
  researchr = {https://researchr.org/publication/MensNP21},
  cites = {0},
  citedby = {0},
  pages = {1-8},
  booktitle = {EASEAI 2021: Proceedings of the 3rd International Workshop on Education through Advanced Software Engineering and Artificial Intelligence, Athens, Greece, 23 August 2021},
  editor = {Andreea Vescan and Camelia Serban and Julie Henry and Upsorn Praphamontripong},
  publisher = {ACM},
  isbn = {978-1-4503-8624-1},
}