Building on previous studies investigating the multidimensional nature of lexical use in task-based L2 performance, this study clarified the roles that the distinct lexical features play in predicting vocabulary proficiency in a corpus of L2 Oral Proficiency Interviews (OPI). A total of 85 OPI samples were rated by three separate raters based on a…

The morphological structure of complex words impacts how they are processed during visual word recognition. This impact varies over the course of reading acquisition and for different languages and writing systems. Many theories of morphological processing rely on a decomposition mechanism, in which words are decomposed into explicit…

This study explored the lexical coverage of corpus-based vocabulary lists (general, academic, and content-specific) across several million tokens gathered from digital science resources (DSR) for middle school (6-8 grade) students in the United States. The goal was to estimate the extent to which a combination of well-known word lists, mostly…

As globalisation advances, an influx of loanwords has been seen in many languages in recent years. Japanese and Korean have similar grammatical features and many English-based loanwords. This study aims to clarify the difference in loanwords in Japanese and Korean adaptation, focusing on substituting alternative native lexicons through COVID-19.…

Background: Since it was first launched, ChatGPT, a Large Language Model (LLM), has been widely used across different disciplines, particularly the medical field. Objective: The main aim of this review is to thoroughly assess the performance of the distinct version of ChatGPT in subspecialty written medical proficiency exams and the factors that…

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…

In this study, we integrated corpus technology in pre-service TESOL (Teaching English to Speakers of Other Languages) teachers' technological pedagogical content knowledge (TPACK) development in corpus technology, termed corpus-based language pedagogy (CBLP), and highlighted the collaborative effort for knowledge building among participants for…

Online assessment is an essential part of online education, and if conducted properly, has been found to effectively gauge student learning. Generally, textbased questions have been the cornerstone of online assessment. Recently, however, the emergence of generative artificial intelligence has added a significant challenge to the integrity of…

Lexical bundles and moves are essential for vloggers to communicate clearly and purposefully within travel vlog discourse. It is crucial for L2 learners and practitioners aiming to enter the industry to master these bundles and understand the moves used in creating travel vlogs. This corpus-based study compiled a list of 239 four-word lexical…

Manually scoring and revising student essays has long been a time-consuming task for educators. With the rise of natural language processing techniques, automated essay scoring (AES) and automated essay revising (AER) have emerged to alleviate this burden. However, current AES and AER models require large amounts of training data and lack…

The main objective of the current study is to carry out a critical stylistic analysis of Al Jazeera's online news reports of the 2017 Gulf crisis. The study specifically examines the linguistic strategies employed by Al Jazeera newsmakers in order to effectively communicate their ideological perspectives. The research employs Jeffries's critical…

Decades of psycholinguistics research have shown that human sentence processing is highly incremental and predictive. This has provided evidence for expectation-based theories of sentence processing, which posit that the processing difficulty of linguistic material is modulated by its probability in context. However, these theories do not make…

This paper explores the integration of Generative Artificial Intelligence (GenAI) feedback into higher education. Specifically, it examines the views of 11 experienced instructors on fine-tuned GenAI formative feedback of student works in an online graduate program in the United States. The participants assessed sample GenAI reviews, and their…

The use of large language model Generative AI (GenAI) systems by students and instructors is increasing rapidly, and there is little choice but to adapt to this new situation. Many, but not all, students are using GenAI for homework and assignments, which means that we need to provide equitable access for all students to AI systems that can…

Automated scoring of student responses to open-ended questions, including short-answer questions, has great potential to scale to a large number of responses. Recent approaches for automated scoring rely on supervised learning, i.e., training classifiers or fine-tuning language models on a small number of responses with human-provided score…