Aim/Purpose: This article investigates the process of identifying and correcting hallucinations in ChatGPT-4's recall of student-written responses as well as its evaluation of these responses, and provision of feedback. Effective prompting is examined to enhance the pre-evaluation, evaluation, and post-evaluation stages. Background: Advanced Large…

Corrective feedback (CF) has long been a hot topic in language education circles and has received extensive research attention. However, there is still controversy over the effectiveness of CF use and error correction in language classes. To address this discrepancy, the current study probed the effectiveness of different CF types in improving…

Although, written corrective feedback (hereafter referred to as CF) is applauded in many writing courses for fostering students' quality writing, its impact on grammatical accuracy in L2 students' writing remains a debated topic. Thus, this study looked into the effect of CF types on L2 students' grammatical accuracy in writing. To achieve this…

Task-based language teaching (TBLT) has occupied an important place in the field of language education; however, some of TBLT dimensions that pertain to the interaction between task design features, written corrective feedback (WCF), and learners' performance have not received adequate attention in past studies. To fill this gap, the current study…

This study explored a way to help Japanese university students write longer essays while maintaining grammatical accuracy. Participants were three groups of students enrolled in a one-year EFL course in different academic years (N = 111), and the number of words they wrote in 30 minutes and the number of errors made per 100 words were compared. To…

Automated writing evaluation (AWE) software is an increasingly popular tool for English second language learners. However, research on the accuracy of such software has been both scarce and largely limited in its scope. As such, this article broadens the field of research on AWE accuracy by using a mixed design to holistically evaluate the…

Even though peer review enjoys sound theoretical support, classroom research has not always provided a clear picture of its effectiveness, particularly when it comes to form-focused editing. In addition to yielding conflicting findings with respect to the number of corrections students make based on peer feedback (Connor & Asenavage, 1994;…

Artificial intelligence revolution becomes a trend in most aspects of life. ChatGPT, an AI chatbot, has impacted various domains, including education and language learning. Enhancing writing abilities of ESL learners requires frequent writing practice and feedback, which ChatGPT can easily provide. However, ChatGPT's accuracy in identifying and…

First-year composition courses must balance a range of writing instruction priorities including genre and audience awareness with language instruction, particularly for second-language writers. Despite the attested efficacy of "dynamic" written corrective feedback for language gains in intensive English programs, little research has…

Grounded in the activity theory, we adopted a sequential explanatory mixed-methods approach to explore the impact of automated written corrective feedback (AWCF) on English as a foreign language (EFL) learners' academic writing skills (i.e. task achievement, coherence and cohesion, lexicon, and grammatical range and accuracy). To this end, two…

With a considerable emphasis on the role of feedback in L2 writing, the effectiveness of written corrective feedback (WCF) has been investigated extensively over the past 25 years. Conflicting findings have been reported regarding the efficacy of WCF in developing learners' written accuracy. This paper provides an in-depth analysis of research on…

This research paper employs an exploratory framework to evaluate the potential of ChatGPT as an Automated Writing Evaluation (AWE) tool in teaching English as a Foreign Language (EFL) in Thailand. The main objective is to investigate how well ChatGPT can assess students' writing using prompts and pre-defined rubrics compared to human raters.…

Written corrective feedback for improving L2 writing skills has been a debatable issue for more than two decades. The aims of this meta-analysis are to (1) provide a quantitative measure of the effect of computer-generated written feedback for improving L2 writing skills and (2) verify how moderators (i.e., adopted technology, task types, and…

With the incremental integration of technology in writing assessment, technology-generated feedback has found its way to take further steps toward replacing human corrective feedback and rating. Yet, further investigation is deemed necessary regarding its potential use either as a supplement to or replacement for human feedback. This study aims to…

In modern L2 academic writing enterprises, teacher-written corrective feedback can be either facilitating or debilitating depending on language teachers' understanding, actual practices, and specific-classroom situations. Through this present small-scale qualitative investigation, the researcher attempted to exhaustively investigate English…