AI-Generated Feedback in EFL Writing: Low Alignment Between Expert Ratings and Student Perceptions

Jul 17, 2026

A study deployed large language model (LLM)-based written corrective feedback in a university-level English as a Foreign Language (EFL) class with nearly 2,000 students, collecting over 20,000 essay drafts. The research found that intrinsic evaluations by expert teachers showed low alignment with extrinsic student feedback and engagement metrics. These results indicate that expert ratings may not fully capture the usefulness or impact of AI-generated feedback from the learner's perspective.

Why it matters: This research challenges the assumption that expert evaluation alone is sufficient for assessing AI-generated educational feedback, emphasizing the need to incorporate learner perspectives.

Full story at: arXiv Computation and Language ↗