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Projects

FAccT AI in Education 2020-Current

Shared Models & Codebase for adopting FAccT AI. For example, researchers can utilize our published SafeMathBot as a starting point to build socially responsible conversational AI through model fine-tuning.

  • PlatformMacOS/Windows/Linux
  • StackPytorch + NumPy + Pandas
  • Fair logistic regression (Fair-LR): A binary prediction model based on the Seldonian framework of Thomas et al., (2019). https://github.com/uf-aice-lab/fair-prediction.
    cyberinfrastructure
    Li, C., Xing, W., & Leite, W. (2021). Yet Another Predictive Model? Fair Predictions of Students’ Learning Outcomes in an Online Math Learning Platform. In LAK21: 11th International Learning Analytics and Knowledge Conference (pp. 572-578). https://doi.org/10.1145/3448139.3448200
    Li, C., Xing, W., & Leite, W. (2022, accepted). Using Fair AI to Predict Students’ Math Learning Outcomes in an Online Platform.Interactive Learning Environments
  • Fair peer recommender (Fair-NE): A fair peer recommender based on DeBayes by Buyl and De Bie (2020). https://github.com/uf-aice-lab/fair-peer-recommender.
    cyberinfrastructure
    Li, C., Xing, W., & Leite, W. L. (2022). Toward building a fair peer recommender to support help-seeking in online learning. Distance Education, 43(1), 30-55. https://doi.org/10.1080/01587919.2021.2020619
  • Socially responsible ConvAI (SafeMathBot): fine-tuned with GPT2-xl with 8 Nvidia RTX 1080Ti GPUs and enhanced with conversation safety policies (e.g., threat, profanity, identity attack) using 3,000,000 math discussion posts by students and facilitators on Algebra Nation. https://huggingface.co/uf-aice-lab/SafeMathBot.
    cyberinfrastructure
    Li, C., Xing, W., & Leite, W. L. (2022). Building socially responsible conversational agents using big data to support online learning: A case with algebra nation. British Journal of Educational Technology. https://doi.org/10.1111/bjet.13227
  • Other relevant publications:
    Li, C., & Xing, W. (2022). Revealing factors influencing students' perceived fairness: A case with a predictive system for math learning. In Proceedings of the Ninth ACM Conference on Learning@ Scale (pp. 409-412).
    Xing, W., Li, C., & Leite, W. (2022). AlgebraNation Dataset: Educational Big Data to Support Fair Educational Machine Learning. In Proceedings of Educational Data Mining 2022 FATED Workshop.
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