This paper explores the reliability of using ChatGPT in evaluating EFL writing by assessing its intra- and inter-rater reliability. Eighty-two compositions were randomly sampled from the Written English Corpus of Chinese Learners. These compositions were rated by three experienced raters with regard to 'language', 'content', and 'organization'.…

Writing assessments in the EFL context today have put a great concern on language acquisition and proficiency testing. However, diverse techniques and practices require a comprehensive synthesis to better understand trends, gaps, and best practices. This study reviews and synthesizes prior research on writing assessments in EFL contexts. It…

Recent research underscores the vital role of English teachers in AI-assisted English teaching, yet elementary and secondary school English teachers' digital literacy using ChatGPT for instruction remains largely unexplored. This present research attempted to construct and validate a measurement to evaluate K-12 English teachers' ChatGPT-based…

Background/purpose: ESL/EFL teachers face unique burnout challenges due to quality assurance (QA) requirements, increasing class sizes, and intensive feedback demands. This research investigates how these factors contribute to teacher burnout in Saudi higher education and explores the potential of AI as a workload solution. Grounded in the Job…

The development of artificial intelligence (AI) technology has enhanced the use of automated speech evaluation systems for language learners to practice speaking skills. This study investigated whether various automatic feedback offered by AI speech evaluation programs can help English as a foreign language (EFL) learners develop speaking skills.…

The role of artificial intelligence (AI) in education plays a crucial role in teacher training digitalisation. Although AI has enormous potential, not much is known about how pre-service teachers perceive and utilise AI tools in professional practice. Hence, this study, guided by the Unified Theory of Acceptance and Use of Technology framework,…

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…

Using a sequential explanatory design, this study investigated levels of assessment literacy among pre-service English as a foreign language teachers in Indonesia and their views on how their undergraduate teacher education programmes prepared them for classroom assessment. A total of 320 pre-service teachers completed a Language Assessment…

The emergence of generative artificial intelligence (GenAI) text generator tools and the potential challenges for higher education (HE) have characterised informal academic discussion on multiple fora. Specifically examining the case of English medium instruction (EMI) assessment academic integrity, this study sought to explore this conundrum by…

This comprehensive bibliometric analysis examines the dynamic impact and influence of artificial intelligence (AI) within the domain of English as a Foreign Language (EFL) from 2013 to 2023. By analysing 3,300 documents from the Web of Science database, the study reveals a positive trend in AI integration, with notable growth attributed to various…

Artificial intelligence (AI) technology has been progressively utilized in educational environments in recent years, due to the advances in computing and information processing techniques. The automatic speech recognition technique (ASR) provides students with instantaneous feedback and interactive oral practice for supporting a context with…

This study explores vocabulary assessment practices in Saudi Arabia's hybrid EFL ecosystem, leveraging platforms like Blackboard and Google Forms. The focus is on identifying prevalent test formats and evaluating their alignment with modern pedagogical goals. To classify vocabulary assessment formats in hybridized EFL contexts and recommend the…

The use of translation and interpreting (T&I) in the language learning classroom is commonplace, serving various pedagogical and assessment purposes. Previous utilization of T&I exercises is driven largely by their potential to enhance language learning, whereas the latest trend has begun to underscore T&I as a crucial skill to be…

In this investigation we propose new machine learning methods for automated scoring models that predict the vocabulary acquisition in science and social studies of second grade English language learners, based upon free-form spoken responses. We evaluate performance on an existing dataset and use transfer learning from a large pre-trained language…

With the evolving technologies available to educators and the increased importance of including technologies in the classroom, it is critical for instructors to understand how to successfully utilize these emerging technologies within their curriculum. To ensure they are prepared, further study on the best practices and challenges of…