With the rapid development of generative artificial intelligence (AI) frameworks (e.g., the generative pre-trained transformer [GPT]), a growing number of researchers have started to explore its potential as an automated essay scoring (AES) system. While previous studies have investigated the alignment between human ratings and GPT ratings, few…

This study examines the decision-making behaviors of raters with varying levels of experience while assessing EFL essays of distinct qualities. The data were collected from 28 raters with varying levels of rating experience and working at the English language departments of different universities in Turkey. Using a 10-point analytic rubric, each…

Think-aloud protocols (TAPs) are frequently used in research on essay rating processes. However, there are very few empirical studies of the completeness of TAP data and the effects of this technique on rater performance (i.e., rating processes and outcomes). This study aims to start to address this research gap. As part of a larger study on rater…

In this paper, we describe and evaluate two state-of-the-art systems for identifying and correcting writing errors involving English articles and prepositions. Criterion[superscript SM], developed by Educational Testing Service, and "ESL Assistant", developed by Microsoft Research, both use machine learning techniques to build models of article…