Neural Machine Translation (NMT) has gained increasing popularity among EFL learners as a CALL tool to improve vocabulary, and many learners have reported its helpfulness for vocabulary learning. However, while there has been some evidence suggesting NMT's facilitative role in improving learners' writing on the lexical level, no study has examined…

Academic writing is a key determinant to be successful in higher education institutions, and graduation requirements often involve students producing theses and dissertations using academic writing skills after conducting research. The COVID-19 pandemic has greatly affected pre-service teachers' learning in higher education institutions, and with…

Improving writing skills at all levels of education is a fundamental goal of education. ChatGPT as an artificial intelligence-based language model is recognized as a significant tool in the development of this skill. The primary objective of this research is to examine the impact of ChatGPT on the creative writing processes as perceived by…

There is a rich body of literature that details the effects of automated writing evaluation (AWE) on second language (L2) students. However, these studies mostly focus on the impact that automated feedback has on writing performance, i.e. that is, there is a dearth of research on its influence on affective factors. Hence, this study was conducted…

This study investigated the effectiveness of applying pedagogical translanguaging by utilizing Google Translate to facilitate college juniors in writing presentation scripts. Participants included 109 non-English major juniors divided into high- and low-proficiency groups, with 56 and 53 students, respectively. Each participant first drafted their…

The primary objective of this study was to examine the range of available Artificial Intelligence (AI) writing tools and assess their influence on student writing, particularly in terms of content and organization, as perceived by English as a Foreign Language (EFL) teachers. Utilizing a qualitative approach, the research was constructed within a…

This study investigates the impact of ChatGPT on EFL students' argumentative writing development of 30 third-year English majors. The research examines writing quality improvements, student perceptions, and patterns of AI tool usage across a 16-week period. This study employed a mixed-methods design to investigate both students' writing…

The study aims to examine the effectiveness of mobile-mediated Dynamic Assessment using a WhatsApp group to improve student's writing skills in English for Specific Purposes classrooms. Furthermore, it also investigates the students' responses toward the mediating practices through the Dynamic Assessment activities. Thirty-one students of the…

We examined the efficacy of a combined electronic essay writing and editing mnemonic driven strategy with 24 college students in a two-year postsecondary program for students with developmental disabilities. We used a pre-posttest experimental design with random assignment to treatment/control groups. During 26 sessions each consisting of 50 min.,…

To test the predictive power of the SSARC (stabilize, simplify, automatize, reconstruct, and complexify) model of pedagogic task sequencing in second language (L2) writing development, the present study explores the performance of written decision-making tasks with varied levels of cognitive complexity in a simple-to-complex sequence in comparison…

A perfect writing skill has been deemed instrumental to achieving competence in EFL, yet it is considered one of the most impressive learning domains. This study investigates the impact of human-AI collaborative feedback on the writing proficiency of EFL students. It examines key teaching domains, including the teaching environment, teacher…

The objective of this study was twofold: (a) to determine the extent to which three types of instruction could improve writing performance of railway engineering students and (b) to explore students' perceptions of flipped classroom, Edmodo, and Google Docs for improving their academic writing performance. The participants were 61 undergraduate…

Some recent studies have reported positive effects of artificial intelligence (AI)-powered writing assistants on students' EFL writing skills, but their impact on affective factors has yet to be examined. Thus, the present study investigated the effects of a QuillBot-based intervention on English Language majors' EFL writing performance,…

Automated writing evaluation (AWE) has been frequently used to provide feedback on student writing. Many empirical studies have examined the effectiveness of AWE on writing quality, but the results were inconclusive. Thus, the magnitude of AWE's overall effect and factors influencing its effectiveness across studies remained unclear. This study…

Numerous studies of written language development have shown minimal improvement over the course of an instructional period, yet these solely text-based studies offer little explanation for the lack of changes in writers' language because little is reported about the classroom and the participants. The purpose of this study is to use goal theory to…