This paper explores the development of an intelligent translation system for spoken English using Recurrent Neural Network (RNN) models. The fundamental principles of RNNs and their advantages in processing sequential data, particularly in handling time-dependent natural language data, are discussed. The methodology for constructing the…

This study investigated the development of syntactic complexity in second language (L2) learner essays, focusing on how key syntactic features evolve as L2 learners practice writing through the use of an automated written corrective feedback (AWCF) tool. Using a corpus of essays written across three writing sessions, five indices of syntactic…

This article introduces a set of teaching strategies to enhance second language learning for students with Down syndrome (DS) enrolled in an English course covering material from the first two years of primary school. A set of instructional support strategies has been defined and integrated into an online learning software, developed ad hoc to…

High frequency words, which are key to a text, must be mastered to achieve minimum levels of reading proficiency. However, knowledge about the frequency of items in a language is very limited. Given this consideration, WordSift (www.wordsift.org), a word cloud tool based on high frequency and key words can assist English as a Foreign Language…

In recent years, various strategies have been employed to integrate ChatGPT into the field of second language (L2) teaching and learning. In line with such efforts, this study investigates the potential of ChatGPT as an automated writing evaluation (AWE) tool for L2 assessment, given the lack of systematic and quantitative investigation into human…

Although some published studies have challenged the importance and efficacy of written corrective feedback (WCF), ESL/EFL tutors continue to value its practice and provide WCF to their students in spite of their time and workload constraints. The development of various automated-feedback applications over the last few years contributed to our…

This research, grounded in the extended technology acceptance model, aimed to explore the relationships among factors influencing Korean EFL learners' acceptance of ChatGPT for English learning in a voluntary usage context. To this end, a questionnaire was distributed to college students who had used ChatGPT for language learning, utilizing a…

Writing plays a crucial role in the development of English as a Foreign Language (EFL) learners' language; however, it remains a challenging skill for them to acquire. This study investigated how EFL students at a high school in Northern Vietnam engaged with the Writing Assistant Bot (WAB), an artificial intelligence (AI) chatbot designed to…

The preparation of pre-service teachers (PSTs) for future English as a second language (ESL) writing instruction requires not only strong writing knowledge but also effective pedagogical practices. Despite growing interest in digital technologies, little is known about how digital writing tools can support PSTs' academic writing development.…

Due to the difficulties of speech signal processing, there is still a considerable gap between the ability of machines to correctly process and that of human beings. In order to overcome the defects of isolated learning and noise sensitivity of SOM, this paper proposes a new time self-organization model (TSOM) from the perspective of deep…

Machine translation (MT) practice and activity development in education are possible when students with diverse backgrounds contribute to helping define how MT can best be used for language learning. This study employed a questionnaire based on an adapted version of the technology acceptance model (TAM) to gain perspective on the perceptions,…

Reading motivation is critical in learning English as a foreign language (EFL). Therefore, insufficient reading motivation leads to several problems concerning the learners' reading development. One of the strategies to maintain and boost learners' motivation is integrating artificial intelligence (AI) tools into language teaching practices. One…

Mobile apps are becoming part and parcel of our daily lives. Hence, this study examined the differential effects of app modes on listening comprehension and recognition. From a pool of Egyptian EFL sophomores, 107 students were randomly assigned into 3 groups practicing mobile-assisted listening in 3 modalities: Unimodal (n = 35), Bimodal (n =…

Machine translation (MT) is the automated process of translating text between different languages, encompassing a wide range of language pairs. This study focuses on non-professional bilingual speakers of Turkish and English, aiming to assess their ability to discern accuracy in machine translations and their preferences regarding MT. A particular…

This study investigated the effect of using Stoodle software program on Iranian EFL teachers' autonomy, creativity, and work engagement in the light of teaching experience and gender. The participants comprised 60 EFL teachers including 30 male (15 novice and 15 experienced) and 30 female (15 novice and 15 experienced) teachers teaching at five…