The present study aimed to develop an analytic assessment rubric for the consecutive interpreting course in the educational setting in the Iranian academic context. To this end, the general procedure of rubric development, including data preparation, selection, and refinement, was applied. The performance criteria were categorized into content,…

This study explores the perceptions of second language (L2) educators on the surge of Large Language Models (LLMs) like ChatGPT, and their potential impact on language education. We surveyed over 100 L2 instructors, asking questions about their ideas for AI-proofing assignments, their policies, and their perceptions of how this tool will impact…

The impact of attitudes on the learning process and on the academic results achieved by students has been the object of numerous studies, which have shown a connection between attitudes and learning. Similarly, the impact of students' attitudes towards learning a foreign language (mainly English) has been explored from a wide range of…

Mastering academic writing skills in English is essential for future researchers. At present, AI language processing tools provide high-quality, accessible, and fast assistance for translation, editing, and stylistic enhancement of scientific texts. However, their use within English for Academic Purposes (EAP) courses generates mixed reactions…

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…

The new contexts in higher education, shifting from face-to-face to online scenarios, encourage the application of disruptive methodologies adapted to distance learning. Translation and interpreting (T&I) programmes ideally foster the acquisition of competencies such as self-study, which graduates need to enter a largely freelance and…

Local socioeconomic advancement has given rise to great growth in language service industry of Gansu China, creating the brisk demand for full-fledged translation and interpretation (T&I) talents. However, such progress is slowed by a lack of senior T&I talents and poor T&I training. The existing literature provides little information…

The ever-increasing demand for immediate access to information means interpreters and translators are increasingly using, and relying on, digital technology in their work. In the migratory context, machine translation (MT) and post-editing (PE) have the potential to greatly increase the efficiency of public service interpreting and translation…

The present article aims to spur interest in the pedagogical potential of translating musicalized texts, a genre that for a long time has remained on the periphery of Applied Translation Studies. First, it provides a broad overview of the various theoretical perspectives that the academic community has had throughout history on the translation of…

This study used an eye-tracking method to examine whether Chinese translation equivalents activated by English prime words can continue to activate their Chinese homophones. With 30 English prime words, and 60 Chinese target words as materials, the experiment used a Tobii eye-tracking device to collect data from 30 university students while…

The present study aims to investigate the effectiveness of a training programme targeted at United Nations (UN) staff interpreters who go on field missions. The UN deploys staff interpreters to ensure effective multilingual communication in field missions. Whilst being professional interpreters, however, these interpreters do not have any formal…

Rubric scoring has been gaining traction as an emergent method to assess spoken-language interpreting, with two of the most well-known methods being rating scale-based holistic and analytic scoring. While the former provides a single global score, the latter generates separate scores on different dimensions of interpreting performance. Despite the…

Mass adoption of neural machine translation (NMT) tools in the translation workflow has exerted a significant impact on the language services industry over the last decade. There are claims that with the advent of NMT, automated translation has reached human parity for translating news (see, e.g. Popel et al. 2020). Moreover, some machine…

Considering noticeable improvements in the accuracy of Google Translate recently, the aim of this study was to examine second language (L2) learners' ability to use post-editing (PE) strategies when applying AI tools such as the neural machine translator (MT) to solve their lexical and grammatical problems during L2 writing. This study examined 57…

This research study aims to explore students' perceptions and reflections on the effectiveness of project-based learning (PBL) in a Thai-English translation course in the EFL context. The participants of this study included forty-nine students who were enrolled in the Thai-English translation course. The participants were asked to produce a…