The capabilities of large language models (LLMs) in language comprehension, conversational interaction, and content generation have led to their widespread adoption across various educational stages and contexts. Given the fundamental role of education, concerns are rising about whether LLMs can serve as competent teachers. To address the…

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)…

The application of artificial intelligence technologies, such as ChatGPT-4, offers a substantial chance to improve the learning process. The promising prospect of utilizing artificial intelligence and ChatGPT-4 to enhance educational interactions by offering tailored and engaging experiences is highly enticing. The promise of ChatGPT-4 resides in…

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…

Instructor's feedback plays a critical role in students' development of conceptual understanding and reasoning skills. However, grading student written responses and providing personalized feedback can take a substantial amount of time, especially in large enrollment courses. In this study, we explore using GPT-3.5 to write feedback on students'…

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…

Improving writing skills at all levels of education is a fundamental goal of education. ChatGPT as an artificial intelligence-based language model is recognized as a significant tool in the development of this skill. The primary objective of this research is to examine the impact of ChatGPT on the creative writing processes as perceived by…

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…

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…

Emergency response services are vital for enhancing public safety by safeguarding the environment, property, and human lives. As frontline members of these services, 9-1-1 dispatchers have a direct impact on response times and the overall effectiveness of emergency operations. However, traditional dispatcher training methods, which rely on…

Concordancer tools have been used to help students learn aspects of written English by engaging them to access, examine, and analyze language examples in a corpus. Nonetheless, their efficacy remains uncertain when compared to other tools. This study compared a concordancer tool to Grammarly, QuillBot, Google search, online dictionaries, and…