This study presents a comprehensive examination of the applications, challenges, and strategies associated with the integration of natural language processing (NLP) technologies in university teaching. By employing qualitative analyses, including interviews, classroom observations, and document review, the study explores the diverse applications…

This research explored the potential of artificial intelligence (AI)-assisted learning using ChatGPT in an engineering course at a university in South-east Asia. The study investigated the benefits and challenges that students may encounter when utilising ChatGPT-3.5 as a learning tool. This research developed an AI-assisted learning flow that…

While recent studies have demonstrated the potential of automated feedback to enhance teacher instruction in virtual settings, its efficacy in traditional classrooms remains unexplored. In collaboration with TeachFX, we conducted a pre-registered randomized controlled trial involving 523 Utah mathematics and science teachers to assess the impact…

Providing consistent, individualized feedback to teachers is essential for improving instruction but can be prohibitively resource intensive in most educational contexts. We develop an automated tool based on natural language processing to give teachers feedback on their uptake of student contributions, a high-leverage teaching practice that…

Legal language is characterized by its specialized lexicology, often formed through derivational processes such as affixation, nominalization, and semantic derivation, making legal texts more challenging to understand. This research examined how university students majoring in legal English linguistics recognize, interpret, and manage the…

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…

Generative AI technologies such as large language models show novel potential to enhance educational research. For example, generative large language models were shown to be capable of solving quantitative reasoning tasks in physics and concept tests such as the Force Concept Inventory (FCI). Given the importance of such concept inventories for…

English speaking is considered the most difficult and anxiety-provoking language skill for EFL learners due to lack of access to authentic language use, fear of making mistakes, and peers' negative comments. With automatic speech recognition and natural language processing, intelligent personal assistants (IPAs) have potential in foreign language…

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…

There are grounds for believing that prompting language learners to infer the meaning of new lexical items is beneficial because inferring the meaning of lexical items and verifying one's inferences invites more cognitive investment than simply being presented with the meanings. However, concerns have been raised over the risk that wrong…

This study investigates the effects of motivation and structured input on the acquisition of English past tense regular forms. The role of motivation in the positive effects generated by processing instruction has been investigated in one previous study (Farhat & Benati, 2018). However, more research is needed to generalize the initial…

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…

The study examines the effects of using computer delivered Processing Instruction (PI) to teach English reflexives. Thirty intermediate ESL learners participated in the pretest-treatment-posttest study. Participants received the input-based PI activities. Gains were assessed by traditional offline tasks such as sentence interpretation and…

While there has been increased scholarly interest in the translator trainer's competence, the translator trainer's professional identity, that is, how they conceptualise their work and roles in daily teaching practice, remains an unexplored area. This multiple-case study aims to fill this gap by examining four university translator trainers'…