An Explainable AI Assistant for Introductory Programming Education: Improving Feedback Reliability with Instructor-AI Collaboration

1. 1Build an AI assistant using large language models to provide feedback on programming assignments
2. 2Configure the AI model to collaborate with instructors and provide explainable feedback
3. 3Test the AI assistant with a pilot group of students to evaluate its effectiveness
4. 4Apply instructor feedback to fine-tune the AI model and improve its reliability
5. 5Run experiments to compare the learning outcomes of students using the AI assistant with those who do not

Educators and instructors can benefit from AI assistants to provide timely and personalized feedback to students, while AI engineers can develop and fine-tune these models to improve their effectiveness

💡 Instructor-AI collaboration can enhance the explainability and effectiveness of AI-generated feedback, leading to better student learning outcomes

🤖 AI assistants can improve feedback reliability in programming education! 💻