The purpose of the study is to investigate whether English as a foreign language (EFL) learners are more willing to communicate and study with the same partners or different partners in speaking activities in pairs or small groups and to determine whether there are similarities or differences in learners' views regarding the same and different…

Since ChatGPT-3.5 has been available to the public, the potentials and challenges regarding chatbot usage in education have been widely discussed. However, little evidence exists whether and for which purposes students even apply generative AI tools. The first main purpose of the present study was to develop and test scales that assess students'…

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…

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…

Synthesis writing is widely taught across domains and serves as an important means of assessing writing ability, text comprehension, and content learning. Synthesis writing differs from other types of writing in terms of both cognitive and task demands because it requires writers to integrate information across source materials. However, little is…

Publicly available Generative Artificial Intelligence (GenAI) tools are said to liberate students from the instrumental use of English and empower them to write creative texts to communicate with different communities. This paper reports on an undergraduate language-related service-learning subject in a Hong Kong tertiary institution. In the…

This study investigated the effects of processing three types of texts, namely expository texts, narrative texts, and a combination of both known as twin texts, on incidental vocabulary acquisition and retention in L2 learners. College freshmen (N = 109), who were lower to upper intermediate learners of English, were assigned into a control group…

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…

To improve students' learning performance through review learning activities, we developed a personalized intervention tutoring approach that leverages learning analysis based on artificial intelligence. The proposed intervention first uses text-processing artificial intelligence technologies, namely bidirectional encoder representations from…

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…

Human-guided machine learning can improve computing intelligence, and it can accurately assist humans in various tasks. In education research, artificial intelligence (AI) is applicable in many situations, such as predicting students' learning paths and strategies. In this study, we explore the benefits of repetitive practice of short-answer…

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'…

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…