As the development and application of large language models (LLMs) in physics education progress, the well-known AI-based chatbot ChatGPT4 has presented numerous opportunities for educational assessment. Investigating the potential of AI tools in practical educational assessment carries profound significance. This study explored the comparative…

This study explored the role of written languaging (WL) in response to automated written corrective feedback (AWCF) in L2 accuracy improvement in English classrooms at a university in China. A total of 254 freshmen enrolled in intermediate composition classes participated, and they wrote 4 essays and received AWCF. A half of them engaged in WL…

Writing is one of productive skills and a way of conveying information considered to be the most complex and the most challenging skill for EFL English learners to acquire, hence many studies have been conducted on the revelation of the characteristic of writings of EFL learners and how to improve them. Among them, pronoun study has attracted…

AWCF can facilitate academic writing development, especially for novice writers of English as a foreign language (EFL). Existing AWCF studies mainly focus on teacher and learner perceptions; fewer have investigated the error-correction effect of AWCF and factors related to the effect. Especially lacking is research on how successfully students can…

This study compared the effects of teacher feedback (TF) and online automated feedback (AF) on the quality of revision of English writing. It also examined the strengths and weaknesses of the two types of feedback perceived by English language learners (ELLs) as a foreign language (FL). Sixty-eight Chinese students from two English classes…

This article reports on an exploratory study which investigated the impact of automated feedback in a writing class among some Chinese EFL university learners who were at a lower language level. In particular, the study explored the students' perceptions of Pigai, the largest and most popular locally designed automated writing evaluation system…

Automated Writing Evaluation (AWE) systems have been found to enhance the accuracy, readability, and cohesion of writing responses (Stevenson & Phakiti, 2019). Previous research indicates that individual learners may have difficulty utilizing content-based AWE feedback and collaborative processing of feedback might help to cope with this…

This paper introduces "CTutor", an automated writing evaluation (AWE) tool for detecting breakdowns in local coherence and reports on a study that applies it to the writing of Chinese L2 English learners. The program is based on Centering theory (CT), a theory of local coherence and salience. The principles of CT are first introduced and…

This paper reports a series of research studies on the use of automated writing evaluation (awe) in secondary and university settings in China. The secondary school study featured the use of awe in six intact classes of 268 senior high school students for one academic year. The university study group comprised 460 students from five universities…

Innovations, ETS's corporate magazine, provides information on educational assessment for educators, school leaders, researchers and policymakers around the world. Each issue of Innovations focuses on a particular theme in assessment. This issue reports on how new technologies in classrooms around the world are enhancing teaching, learning and…