How to Open Science: Promoting Principles and Reproducibility Practices Within the Artificial Intelligence in Education Community

Aaron Haim, Stacy T. Shaw, Neil T. Heffernan. How to Open Science: Promoting Principles and Reproducibility Practices Within the Artificial Intelligence in Education Community. In Ning Wang 0023, Genaro Rebolledo-Mendez, Vania Dimitrova, Noboru Matsuda, Olga C. Santos, editors, Artificial Intelligence in Education. Posters and Late Breaking Results, Workshops and Tutorials, Industry and Innovation Tracks, Practitioners, Doctoral Consortium and Blue Sky - 24th International Conference, AIED 2023, Tokyo, Japan, July 3-7, 2023, Proceedings. Volume 1831 of Communications in Computer and Information Science, pages 74-78, Springer, 2023. [doi]

@inproceedings{HaimSH23-0,
  title = {How to Open Science: Promoting Principles and Reproducibility Practices Within the Artificial Intelligence in Education Community},
  author = {Aaron Haim and Stacy T. Shaw and Neil T. Heffernan},
  year = {2023},
  doi = {10.1007/978-3-031-36336-8_11},
  url = {https://doi.org/10.1007/978-3-031-36336-8_11},
  researchr = {https://researchr.org/publication/HaimSH23-0},
  cites = {0},
  citedby = {0},
  pages = {74-78},
  booktitle = {Artificial Intelligence in Education. Posters and Late Breaking Results, Workshops and Tutorials, Industry and Innovation Tracks, Practitioners, Doctoral Consortium and Blue Sky - 24th International Conference, AIED 2023, Tokyo, Japan, July 3-7, 2023, Proceedings},
  editor = {Ning Wang 0023 and Genaro Rebolledo-Mendez and Vania Dimitrova and Noboru Matsuda and Olga C. Santos},
  volume = {1831},
  series = {Communications in Computer and Information Science},
  publisher = {Springer},
  isbn = {978-3-031-36336-8},
}