From Black-Box Grading to Pedagogically Aligned AI Assessment: A Hybrid LLM–RAG Framework for Explainable and Scalable Automated Code Evaluation
Automated assessment of programming assignments remains a major challenge in higher education, particularly in large-scale courses where timely, consistent, and pedagogically meaningful feedback is difficult to provide, while Large Language Models (LLMs) have shown strong capabilities in code understanding and feedback...