Enhancing Automated Grading with Capabilities of LLMs: Using Prompt Engineering and RAG Techniques

• Published in: 2025 5th International Conference on Advanced Research in Computing (ICARC) pp. 1 - 6
• Main Authors: Abeywardana, Thisuri, Nandadewa, Nethmini, Wickramasinghe, Vimansa, Rohanadheera, Sudam, Nadungodage, Thilini, Hewagamage, Priyantha
• Format: Conference Proceeding
• Language: English
• Published: IEEE 19.02.2025
• Subjects: Accuracy; AES; Analytical models; Cognition; Computational modeling; Context modeling; Education; Grading; Knowledge engineering; Large language models; LLM; Prompt engineering; RAG

This research explores the potential of Large Language Models (LLMs) to automate the grading process in education by harnessing LLMs' sophisticated understanding of language and instructions following nature. We explore the effectiveness of providing subject knowledge and utilizing prompt engin...