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Fingerprint is based on mining the text of the expert's scholarly documents to create an index of weighted terms, which defines the key subjects of each individual researcher.
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  • AI-Supported Grading and Rubric Refinement for Free Response Questions

    Zhao, C., Fowler, M., Gertner, Y., Poulsen, S., West, M. & Silva, M., Feb 17 2026, SIGCSE TS 2026 - Proceedings of the 57th ACM Technical Symposium on Computer Science Education V.1. Association for Computing Machinery, p. 1207-1213 7 p. (SIGCSE TS 2026 - Proceedings of the 57th ACM Technical Symposium on Computer Science Education V.1).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    Open Access
  • A Two-Stage LLM Pipeline for Handwritten Mathematics

    Levine, J., West, M. & Silva, M., Feb 17 2026, SIGCSE TS 2026 - Proceedings of the 57th ACM Technical Symposium on Computer Science Education V.2. Association for Computing Machinery, p. 1413-1414 2 p. (SIGCSE TS 2026 - Proceedings of the 57th ACM Technical Symposium on Computer Science Education V.2).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    Open Access
  • Automated Grading of Handwritten Mathematics Using Vision-Capable LLMs

    Levine, J., Aenlle, M., Zilles, C., West, M. & Silva, M. T., 2027, Artificial Intelligence in Education - 27th International Conference, AIED 2026, Proceedings. Blanchard, E. G., Chen, G., Chi, M. & Isotani, S. (eds.). Springer, p. 627-636 10 p. (Lecture Notes in Computer Science; vol. 16582 LNAI).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

  • Enabling Open Educational Resource Adoption through Integrated Sharing in PrairieLearn

    Poulsen, S., Herman, G. L., Silva, M. T., Fowler, M., Smith, D. H., Porter, L., Ritschel, N., Zilles, C. & West, M., Feb 17 2026, SIGCSE TS 2026 - Proceedings of the 57th ACM Technical Symposium on Computer Science Education V.1. Association for Computing Machinery, p. 859-865 7 p. (SIGCSE TS 2026 - Proceedings of the 57th ACM Technical Symposium on Computer Science Education V.1).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    Open Access
  • Exploring LLMs for Generating Erroneous Examples in CS1

    Chen, Y., Zhang, J., Zhao, C., Malhotra, V., Feng, K. & Silva, M., Feb 17 2026, SIGCSE TS 2026 - Proceedings of the 57th ACM Technical Symposium on Computer Science Education V.2. Association for Computing Machinery, p. 1261-1262 2 p. (SIGCSE TS 2026 - Proceedings of the 57th ACM Technical Symposium on Computer Science Education V.2).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    Open Access