Research Summary: Corrigendum to “LLM-derived metrics in second language writing assessment: an explainable AI approach” [Computers & Education 254 (2026) 105721]

This document is a corrigendum notice for a previously published academic paper titled "LLM-derived metrics in second language writing assessment: an explainable AI approach." It indicates that a correction has been made to the original publication, which appeared in 'Computers & Education' journal, Volume 254, in 2026.

Why it matters

The issuance of a corrigendum highlights the importance of accuracy and integrity in academic publications, particularly in emerging and complex fields like AI applications in education. For stakeholders, it underscores the need to consult the most current version of research to ensure decisions are based on validated information.

Key insights

• A corrigendum has been issued for the paper "LLM-derived metrics in second language writing assessment: an explainable AI approach."
• The original paper was published in 'Computers & Education', Volume 254 (2026), with article ID 105721.
• The authors of the paper are Jingying Hu and Yan Cong.
• The corrigendum itself was made available online on August 28, 2026.

Source

Computers & Education — https://www.sciencedirect.com/science/article/pii/S0360131526001806?dgcid=rss_sd_all