Lost in Translation: Determining the Generalizability of Temporal Models across Course Contexts

Joshua Dallas Quick, Benjamin A. Motz, Anastasia S. Morrone. Lost in Translation: Determining the Generalizability of Temporal Models across Course Contexts. In LAK 2023: 13th International Learning Analytics and Knowledge Conference, LAK2023, Arlington, TX, USA, March 13-17, 2023. pages 273-283, ACM, 2023. [doi]

@inproceedings{QuickMM23,
  title = {Lost in Translation: Determining the Generalizability of Temporal Models across Course Contexts},
  author = {Joshua Dallas Quick and Benjamin A. Motz and Anastasia S. Morrone},
  year = {2023},
  doi = {10.1145/3576050.3576092},
  url = {https://doi.org/10.1145/3576050.3576092},
  researchr = {https://researchr.org/publication/QuickMM23},
  cites = {0},
  citedby = {0},
  pages = {273-283},
  booktitle = {LAK 2023: 13th International Learning Analytics and Knowledge Conference, LAK2023, Arlington, TX, USA, March 13-17, 2023},
  publisher = {ACM},
  isbn = {978-1-4503-9865-7},
}