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### **Academic Papers** | ||
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1. **J. X. Lee and Y.-T. Song**, "College Exam Grader using LLM AI Models," *2024 IEEE/ACIS 27th International Conference on Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing (SNPD)*, Beijing, China, 2024, pp. 282-289. DOI: 10.1109/SNPD61259.2024.10673924 | ||
2. **Ryan Mok, Faraaz Akhtar, Louis Clare, Christine Li, Jun Ida, Lewis Ross, and Mario Campanelli**, “Using AI Large Language Models for Grading in Education: A Hands-On Test for Physics,” *Department of Physics and Astronomy, University College London*, 2024\. | ||
3. **Jonas Flodén**, “Grading Exams Using Large Language Models: A Comparison Between Human and AI Grading of Exams in Higher Education Using ChatGPT,” *Department of Business Administration, School of Business, Economics and Law, University of Gothenburg, Gothenburg, Sweden*, 2024\. DOI: 10.1002/berj.4069 | ||
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### **Open-Source Projects** | ||
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1. **GradeAI** by *GradeAI* | ||
An AI-powered auto-grader built in Python, utilizing OpenAI GPT-3.5, Optical Character Recognition (OCR), and Flask to automate the grading process and provide a streamlined approach for assessing student submissions. | ||
[GitHub Repository](https://github.com/GradeAI/gradeai.git) | ||
2. **AI-Handwrite-Grader** by *wongcyrus* | ||
A project designed to grade handwritten student submissions using AI. It is built to be easily accessible through platforms like GitHub CodeSpaces, providing a practical tool for educators to automate the grading of handwritten exams. | ||
[GitHub Repository](https://github.com/wongcyrus/AI-Handwrite-Grader.git) |