AI Grading Assistant for Canvas Discussions 🎓📝

This application is designed to be the best friend of a grading assistant for Canvas discussions. It uses advanced AI models to grade student responses based on a provided rubric, and also provides developmental feedback to students. The application is built using Next.js and the Vercel AI SDK, with added Azure Authentication.

Features 🚀

• Assisted Grading: The application aids in grading Canvas discussions based on a provided rubric, saving educators valuable time.
• Developmental Feedback: In addition to grading, the application provides feedback to students, helping them understand how they can improve.
• Easy to Use: Simply provide the URL of the Canvas discussion and your Canvas API Key, and the application will handle the rest.
• Azure Authentication: The application is secured with Azure Authentication, ensuring only authorized users can access it.

How to Use 🛠️

1. Login: Use your Azure credentials to login to the application.
2. Ingest Canvas Discussions: Enter your Canvas Discussion URL and your Canvas API Key, then click the 'Ingest' button. The application will download the discussion data and prepare it for grading.
3. Start Grading: Once the data has been ingested, click the 'Grade' button to start the grading process. The application will assist in grading each student's response based on the provided rubric.
4. Download Results: After grading is complete, you can download the results as a CSV file. This file contains the grades for each student, along with the feedback provided by the application.
5. Ask Questions: You can ask questions about the grading process or the results. The application uses an AI model to provide answers to your questions.

Requirements 📋

This application requires the following:

• Next.js
• Vercel AI SDK
• Azure Authentication

Running the Application 🏃‍♀️

To run the application, you need to install the dependencies and start the development server:

pnpm install
pnpm run dev

This will launch the application, where you can interact with it on http://localhost:3000.

Contributing 🤝

Contributions are welcome! If you have any suggestions or improvements, feel free to open an issue or submit a pull request.

License 📄

This project is licensed under the MIT License.