Learners' achievements, motivation, and emotional states are closely linked to the roles and effectiveness of their teachers, while several challenges in foreign language classrooms hinder teacher efficacy. Artificial intelligence (AI) has the potential to offer substantial solutions by addressing individual student needs, expectations, and…

Research suggests that English for Specific Purposes (ESP) students in English-as-a-Foreign-Language (EFL) contexts have difficulties understanding the passages in technical English textbooks of various fields of study including computer software engineering. Few experimental studies to date have investigated the effect of an online hybrid reading…

It is well-established in both scholarship and policy documents that students' home language practices can be leveraged as a key resource for their learning. However, it can be challenging for teachers to embed students' language resources in class activities in ways that link to wider learning objectives. We report how the inclusion of home…

Nowadays, the prevalence of ChatGPT and other Large Language Models (LLMs) has posed significant challenges into the education field, particularly in English education. In response, this study aimed to investigate the beliefs of 95 EFL university teachers from Chinese universities regarding the integration of LLMs in language education, as well as…

Language teacher immunity, as a new notion in language teacher psychology, is a strong indicator of how teachers behave when dealing with difficulties and challenges; and it has a profound effect on teachers' careers. Research on language teacher immunity is in its nascent stage. This study employed an explanatory sequential mixed-methods design…

Recently, there has been a significant increase in research on Generative Artificial Intelligence (GenAI) in the domain of second language (L2) education. Given the limited resources, it is essential for GenAI research to focus on key areas. However, there is still uncertainty about which topics should be prioritised. Research priorities are often…

The surge of generative AI (GenAI) tools on the internet has caused unprecedented disruptions to education, and there are growing concerns about them being misused by students to commit plagiarism, hence jeopardizing assessment validity. Despite the foreseeable challenges, it remains unclear how frontline language teachers perceive and react to…

Amidst the technological evolution shaping the landscape of education, this research critically examines the imperative factors influencing the design of language-teaching chatbots in Thai language classrooms. Employing a comprehensive two-pronged methodology, our study delves into the intricacies of chatbot design by engaging with a diverse…

The use of machine translation (MT) tools remains controversial among language instructors, with limited integration into classroom practices. While much of the existing research into MT and language education has explored instructor perceptions, less is known about how students actually use MT or how student use compares to instructor beliefs and…

This qualitative case study aimed to examine pre-service teachers' and teacher educators' interactions during their English grammar lessons via the WhatsApp platform. The Community of Inquiry (CoI) model was employed to categorize the WhatsApp interactions based on social, cognitive and teacher presences. Participants wrote their reflections for…

This article argues that consumer-oriented machine translation software applications are disrupting foreign language education. In order to mitigate this impact, the article provides guidance on how to transform teachers' perceptions of online translators. This process is a critical precondition for the gradual and thoughtful implementation of…

The overarching objective of the World Language Professional Life Survey (WLPLS) was to determine the K-20 World Language (WL) profession's familiarity with both the "World Readiness Standards for Learning Languages" (5 Cs) and with the Can-Do Statements (Can-Dos). The survey strove to identify how both sets of principles might…

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 seeks to clarify whether teachers are able to distinguish between essays written by English L2 students or generated by ChatGPT. 47 instructors who hold experience teaching English to native speakers of Japanese in universities or other higher education institutions were tested on whether they could identify between human written essays…

Technostress is a phenomenon in which rapid technological advancement affects teachers' psychological well-being. It is an emerging concern in English language education, which may be exacerbated by the advent of generative artificial intelligence (GenAI) tools such as ChatGPT. This study explores the factors that influence technostress among…