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…

Research has suggested that the type of feedback learners receive can impact on whether learners understand the feedback, the extent to which they engage with it, and whether they incorporate it in their revised drafts. However, to date, only a small number of studies have investigated learner engagement with corrective feedback provided by…

Considering the prominence attached to written corrective feedback (WCF) within the domain of second/foreign language (L2) acquisition, automated writing evaluation (AWE) tools have steadily gained ground over the last two decades. The current study was an attempt to investigate the extent incorporating an AWE program, known as Criterion®, within…

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…

Although researchers have investigated the effects automated writing evaluation (AWE) and teacher corrective feedback have on second language (L2) writing performance, these studies have conflated two different variables--feedback source and perceptions of feedback source. Using a quasi-experimental design, two groups of second language English…

This dissertation reports on the evaluation of a computer-mediated collaborative animation description task, where synchronous corrective feedback (SCF) serves as the primary source for grammar learning. The evaluation was conducted in an English-as-a-Second-Language (ESL) writing program at a large research university in the United States. Using…

The past two decades witnessed increased attention in the role of Written Corrective Feedback (WCF) in improving the English as a second language (ESL) students' written linguistic accuracy. Several methods were suggested, including the use of the electronic means of providing corrective feedback. The electronic methods proved to be effective…

While feedback is widely considered essential for second language (L2) writing development (Bitchener & Ferris, 2012), teachers may not always be able to provide their learners with immediate and frequent corrective feedback. Automated writing evaluation (AWE) systems can help respond to this challenge by providing L2 learners with written…

Large Language Models (LLMs) are a powerful type of Artificial Intelligence (AI) that simulates how humans organize language and are able to interpret, predict, and generate text. This allows for contextual understanding of natural human language which enables the LLM to understand conversational human input and respond in a natural manner. Recent…

Our study assessed the performance of two Grammar Checkers (GCs), Grammarly and Virtual Writing Tutor, and the grammar checking function in Microsoft Word on a broad range of grammatical errors. The errors occurred in both authentic English as a Second Language (ESL) compositions and simple sentences we generated ourselves. We verified the…

Theoretically grounded in Vygotsky's sociocultural theory of mind, Dynamic Assessment (DA) provides researchers with the opportunity to investigate different aspects of learners' developmental trajectory, including the ways they overcome their errors. As a qualitative inquiry into the nature of errors reflecting learners' development in academic…

Despite the growing interest in investigating the pedagogical application of Automated Writing Evaluation (AWE) systems, studies on the process of AWE-supported writing are still scant. Adopting activity theory as the framework, this qualitative study aims to examine how students incorporated AWE feedback into their writing in an English as a…

The present study compared the efficacy of computer-mediated peer corrective feedback (CF) among two groups of high-proficiency (n=11) and low-proficiency (n=19) postsecondary Japanese EFL students. They completed a 10-week process writing composition, during which the students were given explicit instruction in metalinguistic peer CF. They then…

This study investigated the appropriate ways in offering immediate automated writing feedback within the framework of process-based writing pedagogy by comparing relative effects of two different automated writing evaluation (AWE) system application types on improving writing performance. The experiment took an initiative step in elucidating at…

With the rapid development of Web 2.0 in the field of education, which allows users to interact and collaborate with teachers and peers on the web, many researchers have focused on exploring the developments of using Course Manage System (CMS) in service of L2 writing (e.g., Chun, 2011; Warschauer & Grimes, 2007). Simultaneously, participation…