Essay Quality

Assessing essay quality is a complex task currently undergoing significant investigation, driven by the need for efficient and accurate automated grading systems. Research focuses on leveraging large language models (LLMs), employing techniques like contextual multi-armed bandits for adaptive question answering and multi-agent systems for interactive feedback, to improve both grading accuracy and the provision of insightful feedback to students. While LLMs show promise in assisting human graders, particularly for simpler tasks, achieving human-level performance in complex essay evaluation remains a challenge, highlighting the need for further refinement of algorithms and datasets. This research has implications for improving educational assessment, potentially leading to more efficient and effective feedback mechanisms for students.