Evaluating the Utility of Notional Machine Representations to Help Novices Learn to Code Trace

Veronica Chiarelli, Nadia Markova, Kasia Muldner. Evaluating the Utility of Notional Machine Representations to Help Novices Learn to Code Trace. In Kathi Fisler, Paul Denny, Diana Franklin, Margaret Hamilton 0001, editors, Proceedings of the 2023 ACM Conference on International Computing Education Research - Volume 1, ICER 2023, Chicago, IL, USA, August 7-11, 2023. pages 314-328, ACM, 2022. [doi]

@inproceedings{ChiarelliMM22,
  title = {Evaluating the Utility of Notional Machine Representations to Help Novices Learn to Code Trace},
  author = {Veronica Chiarelli and Nadia Markova and Kasia Muldner},
  year = {2022},
  doi = {10.1145/3568813.3600119},
  url = {https://doi.org/10.1145/3568813.3600119},
  researchr = {https://researchr.org/publication/ChiarelliMM22},
  cites = {0},
  citedby = {0},
  pages = {314-328},
  booktitle = {Proceedings of the 2023 ACM Conference on International Computing Education Research - Volume 1, ICER 2023, Chicago, IL, USA, August 7-11, 2023},
  editor = {Kathi Fisler and Paul Denny and Diana Franklin and Margaret Hamilton 0001},
  publisher = {ACM},
  isbn = {978-1-4503-9976-0},
}