Written corrective feedback (WCF) has been widely deployed in teaching second language (L2) writing skills, partly because it is generally perceived to promote and consolidate learning. Whilst a burgeoning body of literature affirms its virtues pertaining to fostering L2 learners' writing performance, which method of correction could yield the…

Automated writing evaluation feedback (AWE) has become popular in writing classrooms. However, few studies have conducted a comprehensive review of the employment of AWE in learning areas. This study aimed to provide a systematic review of the current research on AWE feedback, including its validity, effects, and students' engagement with AWE…

This paper reviews the literature on the role of corrective feedback and instruction in L2 pragmatics. Pragmatics "focuses on how people perform, interpret, and respond to language functions in a social context" (Taguchi, 2011, p.289), and therefore its development is key to the development of language competence. Pragmatics entails both…

With much empirical evidence of a beneficial role of interaction in second language (L2) development, researchers have become interested in investigating specific aspects of interaction (e.g., negotiation for meaning, corrective feedback (CF), modified output, noticing, etc.) that likely influence the extent to which interaction benefits L2…

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…

The majority of foreign language learning (FLL) has recently been conducted online due to unprecedented changes in society and this trend seems to be global and perpetual even if the situation changes. Unfortunately, there is still low awareness among language instructors of the impact it may have on the corrective feedback they provide to their…

This review discusses and compares the findings of 38 peer-reviewed studies on text-based synchronous computer-mediated communication for second or foreign language learning from over the past twelve years. Research themes that emerged include: modality, corrective feedback, noticing, alignment and uptake, as well as task design/conditions and…

This article takes a meta-analytic approach to investigate the efficacy of written corrective feedback in second language (L2) writing instruction. With its widespread practice in second language acquisition (SLA), written corrective feedback has increasingly garnered attention as much as it has continued to be a subject of considerable…

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…

Formative feedback, aimed at helping students to improve their work, is an important factor in learning. Many tools that offer programming exercises provide automated feedback on student solutions. We have performed a systematic literature review to find out what kind of feedback is provided, which techniques are used to generate the feedback, how…

This study offers a bibliometric analysis of research trends in task-based language teaching (TBLT) from 1985 to 2020. The analysis covers research questions related to the publication trends, venues for publication, productive authors, highly cited articles and references and, more importantly, the most frequently explored TBLT-related topics and…

The issue of whether, when, and how to respond to learners' oral errors is something every teacher has to consider. Early studies of teachers' feedback practices consisted of observations of how they managed this complex process (e.g., Lyster & Ranta, 1997). Beginning with these descriptions, a large body of research on types of oral…

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…

The purpose of this study was to investigate the evidence base for using computer-assisted instruction (CAI) to improve the reading comprehension of students with learning disabilities (LD). Twelve peer-reviewed studies (seven comparison group studies, five single-case studies) met selection criteria and were evaluated according to the relevant…

Researchers have been working diligently to build the evidence base for what works for youth with emotional and behavioral disorders (EBD). As the evidence base grows, the field must investigate what works, for whom, and under what conditions. To begin to address for whom the mounting evidence is applicable, this study systematically reviewed…