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…

How might teachers and students deepen dialogic space in online discussions centered on race? This paper explores challenges of creating shared spaces of collective inquiry online across audio/visual/written modes. We explore why participants switch modes--e.g. from oral/visual participation to written chat--while participating in a synchronous…

Despite the substantial expansion in vocabulary research since the 1980s, we still know very little about how vocabulary develops over time and what factors influence this development. This methodological overview discusses key issues and considerations in vocabulary breadth growth assessment to help advance research in this area. The report…

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…

Learners might have several challenges while attempting to learn a second/foreign language. Learners of Chinese face linguistic, psychological, and educational challenges. The integration of technology, especially artificial intelligence (AI), into teaching foreign languages is a blessing for teachers and learners. This study delved into the…

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…

Expressions of impossibility refer to events that can never or rarely happen, tasks that are difficult or impossible to perform, people or things that are of no use and things that are impossible to find. This study explores the similarities and differences between English and Arabic expressions of impossibility, and the difficulties that…

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…

The main purpose of this pilot study was to explore the rate and extent to which school psychologists are considering different developmental, linguistic, and environmental factors of English Learners. The sample of this study included coding bilingual psychoeducational evaluations (N=120) for such factors using the D-STPGE scale as a guide to…

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…

Previous research on the L1 acquisition of motion event expression suggests that mapping multiple semantic components onto syntactic units is associated with greater difficulties in verb-framed than in satellite-framed languages, because the former require more complex structures (using subordination). This study investigated the impact of this…

Centered on reconceptualizations of "rural" and "rurality" that reimagine and transcend the "traditional imaginaries" of rural educational settings as places of disadvantage and isolation, this article presents the partial results of a mixed methods study funded by the Spencer Foundation about expanded and pivotal…

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 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…