ALAS (Automated Learning Assessment System) is a project aimed at harnessing generative AI to create learner-centered and evidence-based instructor feedback. Developed in collaboration with Harvard Medical School's MD Program Pathways curricular track, this project seeks to revolutionize medical education by leveraging the power of artificial intelligence as a tool for faculty to more deeply understand how students are performing holistically, outside of traditional quantitative grading.
ALAS's Web App is currently in development, but will be accessible to HMS faculty beginning Aug 6, 2024. Check back here for important updates and access information.
To contribute:
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Fork the Repository
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Create a New Branch
git checkout -b feature/YourFeature
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Commit Your Changes
git commit -m 'Add some feature' -
Push to the Branch
git push origin feature/YourFeature
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Open a Pull Request
Describe your changes and submit the pull request for review.
This project is licensed under the MIT License - see the LICENSE file for details.
This project is developed in collaboration with Harvard Medical School's MD Pathways track as a part of the Dean's Innovation Awards. Special thanks to Dr. Henrike Besche for their invaluable input and support.
For questions or inquiries, please contact:
- Samantha K. Pullman
- Email: samantha_pullman@hms.harvard.edu