In this article, we discuss ethical issues related to using and disclosing artificial intelligence (AI) tools, such as ChatGPT and other systems based on large language models (LLMs), to write or edit scholarly manuscripts. Some journals, such as "Science," have banned the use of LLMs because of the ethical problems they raise concerning…

Creating practice questions for programming learning is not an easy job. It requires the instructor to diligently organize heterogeneous learning resources. Although educational technologies have been adopted across levels of programming learning, programming question generation (PQG) is still predominantly performed by instructors without…

This paper systematically explores how Large Language Models (LLMs) generate explanations of code examples of the type used in intro-to-programming courses. As we show, the nature of code explanations generated by LLMs varies considerably based on the wording of the prompt, the target code examples being explained, the programming language, the…

Speech is highly variable and systematic, governed by the internal linguistic system and socio-indexical factors. The systematic relationship of socio-indexical factors and variable phonetic forms, referred to here as "socio-indexical structure," has been the cornerstone of sociophonetic research over the last several decades. Research…

This study examined 283 online learner dictionary definitions in terms of scores based on word frequency level and readability. Results revealed three findings. First, in terms of word frequency levels, definitions from the Cambridge learner dictionary incorporated fewer non-high frequency words (mid and low frequency words) compared to Oxford,…

Machine translation (MT) is the automated process of translating text between different languages, encompassing a wide range of language pairs. This study focuses on non-professional bilingual speakers of Turkish and English, aiming to assess their ability to discern accuracy in machine translations and their preferences regarding MT. A particular…

This article responds to recent calls to investigate the role of agents and the connections between layers of agency in the development and implementation of language policy and planning (LPP). Using a corpus linguistic and discursive approach to language policy, we identify interventions made in plenary sessions by Secretary-Generals and Member…

Texts generated by artificial intelligence agents have been suggested as tools supporting students' learning. The present research analyses the language of texts generated by ChatGPT when solving mathematical problems related to the quadratic equation. We use the functional grammar theoretical framework that includes three meta-functions: the…

Research has indicated that lexical richness is an important indicator of second language (L2) proficiency. However, most research has examined written, cross-sectional English L2 corpora and does not necessarily indicate how spoken lexical use develops over time or whether observed trends are stable across L2s. This study adds to previous…

Although lexical diversity is often used as a measure of productive proficiency (e.g., as an aspect of lexical complexity) in SLA studies involving oral tasks, relatively little research has been conducted to support the reliability and/or validity of these indices in spoken contexts. Furthermore, SLA researchers commonly use indices of lexical…

Across many language backgrounds, a consistent hurdle to accessing United States higher education is understanding the basic information necessary to apply for admission and financial aid and complete the many enrollment management processes necessary to begin one's college career (apply for housing, receive and submit vaccinations, register for…

ChatGPT, as an example of generative artificial intelligence, possesses high-level conversational and problem-solving capabilities supported by powerful computational models and big data. However, the powerful performance of ChatGPT might enhance learner dependency. Although it has not yet been confirmed, many teachers and scholars are also…

Learning vocabulary is a central but yet complex aspect of learning a language. Hence, researchers stress the importance of facilitating vocabulary development via a structured approach to target words and recycling. While teaching materials have the potential to provide this structure to all students in a classroom, few studies have investigated…

As the development and application of large language models (LLMs) in physics education progress, the well-known AI-based chatbot ChatGPT4 has presented numerous opportunities for educational assessment. Investigating the potential of AI tools in practical educational assessment carries profound significance. This study explored the comparative…

We collaborated to investigate humor in the existing corpus of Kere (ISO639-3: sst). This collaboration was a useful test of the Kere corpus and led to the rediscovery of unarchived video recordings, which contained important contextual information. These videos had been deprioritized in the original deposit, but they contained important…