In recent years, machine translation post-editing (MTPE or PE for short) has been steadily gaining ground in the language industry. However, studies that examine translators' perceptions of, and attitudes towards, MTPE paint a somewhat negative picture, with PE pricing methods and rates being a major source of dissatisfaction. While the European…

This study examines the effect of native "vs." non-native prosody instruction on developing interpreter trainees' speech comprehensibility in English as a foreign language (EFL) using a pretest-posttest-delayed posttest design. Twenty-three groups of 28 interpreter trainees at a University in Iran (six different branches) took part in…

While acquiring a second language, learners may encounter challenges and difficulties in effectively carrying out verbal communication in the second language. Mastering the apology speech act is a challenge for L2 learners. The objective of this study is to identify the apology strategies utilized by individuals learning the Japanese language, as…

Purpose: A number of recent artificial intelligence (AI)-enabled technologies, including summarisers, paraphrasers and the cutting-edge chatbots not only have outstanding potentials in modern educational systems but also could lead to a dramatic paradigm shift in the whole education process. This study aims to explore the factors that shape the…

The digital transformation in educational assessment has led to the proliferation of large-scale data, offering unprecedented opportunities to enhance language learning, and testing through machine learning (ML) techniques. Drawing on the extensive data generated by online English language assessments, this dissertation investigates the efficacy…

This study examined pre-service teachers' perspectives on integrating generative AI (GenAI) tools into their own learning and teaching practices. Discussion posts from asynchronous online courses on ChatGPT were analyzed using the Diffusion of Innovations framework to explore awareness, willingness to apply ChatGPT to instruction, and potential…

It remains unclear whether late second language learners (L2ers) can acquire sufficient knowledge about unique-to-L2 constructions through implicit learning to build anticipations during real-time processing. To tackle this question, we conducted a visual world paradigm experiment to investigate high-proficiency late first-language Dutch…

This study investigates the potential of ChatGPT, a cutting-edge large language model in generative artificial intelligence (AI), to support the teaching of dialogic pedagogy to preservice teachers. A workshop was conducted with 29 preservice teachers, wherein ChatGPT and another prominent AI model, Bert, were sequentially integrated to facilitate…

The increase in popularity of Generative Artificial Intelligence Chatbots, or GACs, has created a potentially fruitful opportunity to enhance teaching English as a Foreign Language (EFL). This study investigated the possibility of using GACs to give EFL students metalinguistic guidance (MG) in linguistics courses. Language competency gaps, a lack…

Assessing vocabulary knowledge is an important part of establishing language proficiency in bilingual children. The crosslinguistic lexical tasks (CLTs) provide a framework for testing vocabulary development in three-to-six year-olds using a standard procedure and comparable items for multiple languages. This study describes the development of the…

The potential of speech technology to improve educational outcomes has been a topic of great interest in recent years. For example, automatic speech recognition (ASR) systems could be employed to provide kindergarten-aged children with real-time feedback on their literacy and pronunciation as they practice reading aloud. Within these systems,…

Students are required to master effective sentences to support their writing skills. However, students often struggle with comprehending and constructing effective sentences due to their limited proficiency and competence. This research examines the comprehension of effective sentences through grammaticality judgment tests and its implications for…

Multi-componential models of translation competence are widely used in translator training as a yardstick for curricular and syllabus design. These models must be adapted to reflect professional trends, such as the impact of artificial intelligence, and machine translation in particular, on working methods. This paper describes the process of…

We investigated the utility of ChatGPT 3.5 in the creation of a fully online asynchronous higher education course. Our collaborative effort with ChatGPT resulted in developing a Master's level course on Trends and Issues in Instructional Design using the Backward Design Model. Throughout this process, we recognized the critical role of precise…

Guided by a sociocultural perspective, this study aims to explore the views of kindergarten teachers on ChatGPT, its potential benefits and challenges in education, and the support and training required for effective implementation. The study involved 10 teachers from several kindergartens in Hong Kong. Face-to-face interviews were conducted. The…