Considering noticeable improvements in the accuracy of Google Translate recently, the aim of this study was to examine second language (L2) learners' ability to use post-editing (PE) strategies when applying AI tools such as the neural machine translator (MT) to solve their lexical and grammatical problems during L2 writing. This study examined 57…

The problem of cognitive overload is particularly pertinent in multimedia L2 classroom corrective feedback (CF), which involves rich communicative tools to help the class to notice the mismatch between the target input and learners' pronunciation. Based on multimedia design principles, this study developed a new multimodal CF model through…

The main purpose of this study is to evaluate the effectiveness of Machine Translation Post-Editing (MTPE) training for FL students. Our hypothesis was that with specific MTPE training, students will able to detect and correct machine translation mistakes in their FL. Training materials were developed to detect six typical mistakes from Machine…

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…

This study investigated whether the effect of two forms of computer-automated metalinguistic corrective feedback in drills transferred to subsequent writing tasks. The English simple past tense, a learned structure, was selected as the target structure. Participants included 117 intermediate learners of English as a foreign language assigned to…

Research shows that computer-generated corrective feedback can promote second language development, but there is no consensus about which type is the most effective. The scale is tipped in favor of more explicit feedback that provides metalinguistic explanations, but counterevidence indicates that minimally explicit feedback of the…

This study investigated the effect of using computer-mediated corrective feedback on EFL learners' performance in writing. Sixty-four intermediate-level learners were randomly assigned to either a no-feedback control condition or a corrective feedback, including three treatment conditions. The first is the "track changes" feature of…

This study illustrates how a synergy of two technologies--Intelligent Computer-Assisted Language Learning (ICALL) and corpus linguistic analysis--can produce a lasting improvement in L2 learners' ability to edit persistent grammatical errors from their writing. A large written English corpus produced by Korean undergraduate and graduate students…

In recent years, synchronous online peer response groups have been increasingly used in English as a foreign language (EFL) writing. This article describes a study of synchronous online interaction among three small peer groups in a Taiwanese undergraduate EFL writing class. An environmental analysis of students' online discourse in two writing…