ChatGPT and Bard, two chatbots powered by Large Language Models (LLMs), are propelling the educational sector towards a new era of instructional innovation. Within this educational paradigm, the present investigation conducts a comparative analysis of these groundbreaking chatbots, scrutinizing their distinct operational characteristics and…

With a significant number of students using machine translation (MT) for academic purposes in recent years, language teachers can no longer ignore it in their classrooms. Although an increasing number of studies have reported its pedagogical benefits, studies have also revealed that language teachers are still sceptical about using MT for various…

This meta-analysis evaluated the effectiveness of data-driven learning (DDL) among low-proficiency L2 English learners, addressing the mixed results found in previous meta-analyses. The study incorporated 38 studies involving 2085 participants, yielding 37 effect sizes from control-experimental (C/E) studies and 42 from pre- and post-test (P/P)…

This study explores the use of Large Language Models (LLMs), specifically GPT-4, in analysing classroom dialogue--a key task for teaching diagnosis and quality improvement. Traditional qualitative methods are both knowledge- and labour-intensive. This research investigates the potential of LLMs to streamline and enhance this process. Using…

This study examines the efficacy and motivational implications of the word-count tracking strategy as a viable teaching strategy for improving writing output among Saudi EFL undergraduates. An intensive writing program was conducted at the English Department Al-Majmaah University with two groups who were taught through two different approaches.…

In exam-oriented English as a Foreign Language (EFL) foundation program, achieving a balance between high-stakes testing and skill-based learning remains a challenge. This study examines the limited efficacy of timed reading activities (TRAs) in contexts where students prioritize test preparation over fluency-building practices. In line with the…

Throughout history, artificial intelligence (AI) has impacted various aspects of human life and professional industries, including the field of education, by mimicking human behaviors and tasks to increase productivity and efficiency (Grudin et al., 2023; Haenlein & Kaplan, 2019). Generative AI is a form of AI using deep learning to quickly…

The purpose of the current study was twofold: examining the efficacy of data-driven learning (DDL) (hands-on and hands-off approaches) in the realization of interactional metadiscourse markers (IMMs) among English as a foreign language (EFL) learners and analyzing the learners' perceptions of DDL. The participants consisted of 93 male and female…

This dissertation developed a new learner corpus of Japanese and introduced an error and linguistic annotation scheme specifically designed for Japanese particles. The corpus contains texts written by learners who are in the first year to fourth year university level Japanese courses. The texts in the corpus were tagged with part-of-speech and…

Learning new words is fundamental in both first and second-language reading. There are, however, divided opinions on the best instructional approaches. Two widely used approaches across languages are whole-word focus and word-constituent focus. The appropriateness of each approach has varied historically, even within a single language (e.g., the…

It is assumed by many teachers and materials writers that it is important to teach at all levels the forms and meanings of derivational prefixes and suffixes, as an important aid to learning new words in English. However, corpus evidence suggests that knowledge of the meanings of such components occurring within the most common 5,000 words in…

Machine Translation (MT) is receiving increasing attention within language education due to both its affordances and the potential it offers for academic misconduct. To understand more about teachers' views and practices, a survey was conducted with 153 foreign language (L2) educators who teach at Japanese universities. The survey examined their;…

Formulaic expressions (FEs), such as conventional collocations (e.g., fresh air) and phrases (e.g., take a break), constitute a significant part of language use in our daily lives (Erman & Warren, 2000). FEs are defined as multiword units that holistically represent a single meaning, and they are likely stored and retrieved as unanalyzed…

Scholarly attention to foreign language learning boredom (FLLB) has surged in recent years. However, little is known about L2 learners' online FLLB experience prompted by the COVID-19 pandemic. To fill this gap, the present mixed-methods study explores the conceptual structure and sources of FLLB in an online learning environment. A corpus of 348…

The purpose of this review is to examine the effects of automated writing evaluation (AWE) feedback on students' English writing performance. We systematically reviewed studies that have empirically focused on this purpose. This review uses several combinations of key words to search in the databases of JSTOR, SSCI, and ERIC for peer-reviewed…