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This study explored the role of artificial intelligence (AI) in assessing writing accuracy, particularly at the T-unit and sentence levels. Large language models (LLMs), such as ChatGPT, iFLYTEK, and Baidu Cloud, were evaluated for their robustness and efficiency in identifying errors in writing. The study used a confusion matrix and evaluation metrics to compare the LLM results with human rating results. Qualitative analysis was performed to analyze the discrepancies between human and AI assessment results.
Contributor: Zilu Jiang, The Ohio State University
Contributor: Zexin Xu, The Ohio State University
Contributor: Zilong Pan, Lehigh University
Contributor: Jingwen He, The Ohio State University
Contributor: Kui Xie, Michigan State University