Generative Grading: Near Human-level Accuracy for Automated Feedback on Richly Structured Problems

Ali Malik, Mike Wu, Vrinda Vasavada, Jinpeng Song, Madison Coots, John Mitchell, Noah D. Goodman, Chris Piech. Generative Grading: Near Human-level Accuracy for Automated Feedback on Richly Structured Problems. In Sharon I-Han Hsiao, Shaghayegh (Sherry) Sahebi, François Bouchet, Jill-Jênn Vie, editors, Proceedings of the 14th International Conference on Educational Data Mining, EDM 2021, virtual, June 29 - July 2, 2021. International Educational Data Mining Society, 2021.

@inproceedings{MalikWVSCMGP21,
  title = {Generative Grading: Near Human-level Accuracy for Automated Feedback on Richly Structured Problems},
  author = {Ali Malik and Mike Wu and Vrinda Vasavada and Jinpeng Song and Madison Coots and John Mitchell and Noah D. Goodman and Chris Piech},
  year = {2021},
  researchr = {https://researchr.org/publication/MalikWVSCMGP21},
  cites = {0},
  citedby = {0},
  booktitle = {Proceedings of the 14th International Conference on Educational Data Mining, EDM 2021, virtual, June 29 - July 2, 2021},
  editor = {Sharon I-Han Hsiao and Shaghayegh (Sherry) Sahebi and François Bouchet and Jill-Jênn Vie},
  publisher = {International Educational Data Mining Society},
}