ChatTA - Automated Grading Assistant for Canvas

ChatTA is a Python-based application that streamlines the grading process for professors and TAs using the Canvas API. It retrieves student submissions, applies grading criteria, and automates feedback generation. The application features a graphical user interface (GUI) for seamless interaction and submission of grades.

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📌 Features

• Canvas Integration

  • Retrieves assignment details, rubrics, and student submissions from Canvas.
  • Supports discussion-based and file-based student submissions.

• Automated Feedback Generation

  • Analyzes student submissions and provides structured feedback.
  • Uses OpenAI’s GPT model to generate grading suggestions.

• Graphical User Interface (GUI)

  • Built with Tkinter, providing an intuitive grading interface.
  • Displays student submissions and allows manual grading adjustments.

• Grade Submission to Canvas

  • Allows instructors to review and modify grades before final submission.
  • Directly updates grades and feedback in Canvas.

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This standalone .exe demo showcases how instructors can review and approve automated grading results for writing-based assignments — without requiring Canvas login or internet access.

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💻 Demo Highlights

• 🧠 Uses GPT to generate feedback
• 📄 Grading summary with student IDs and scores
• ✅ One-click approval workflow
• 📂 No source code exposed

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📷 Screenshots

Welcome Screen	Grading Summary

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🚀 How to Use

1. Download the .exe from the latest release.
2. Double-click to launch.
3. Simulate grading, view feedback, and approve results.

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🔒 Note

This is a demo-only executable. It uses offline dummy data and does not submit grades to Canvas.

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🛠 Built With

• 🐍 Python 3
• 🧰 Tkinter
• 🦾 GPT via OpenAI API (simulated)