Developing and Evaluating a Large Language Model-Based Automated Feedback System Grounded in Evidence-Centered Design for Supporting Physics Problem Solving

1. 1Design an evidence-centered framework for physics problem solving
2. 2Train and fine-tune a large language model on a dataset of physics problems and solutions
3. 3Develop an automated feedback system that generates feedback based on the LLM's output
4. 4Evaluate the effectiveness of the feedback system using metrics such as accuracy and student satisfaction

AI engineers and educators can benefit from this study to create more effective feedback systems for complex domains like physics, improving student learning outcomes

💡 Evidence-centered design can be used to develop effective LLM-based feedback systems for complex domains like physics

🤖 LLM-based feedback system for physics problem solving! 📝