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Wajeeh Daher; Faaiz Gierdien – African Journal of Research in Mathematics, Science and Technology Education, 2024
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…
Descriptors: Artificial Intelligence, Computer Software, Computational Linguistics, Problem Solving
María Díez-Ortega; Kristopher Kyle – Studies in Second Language Acquisition, 2024
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…
Descriptors: Second Language Learning, Second Language Instruction, Spanish, Language Proficiency
Kristopher Kyle; Hakyung Sung; Masaki Eguchi; Fred Zenker – Studies in Second Language Acquisition, 2024
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…
Descriptors: Second Language Learning, Second Language Instruction, Oral Language, Validity
Zachary W. Taylor; Brett McCartt; Tahagod Babekir – Texas Education Review, 2024
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…
Descriptors: Arabic, Native Speakers, Access to Education, Higher Education
Samantha Rarrick; Reza Arab – Language Documentation & Conservation, 2025
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…
Descriptors: Computational Linguistics, Video Technology, Language Research, Metadata
Ospanova Dana; Kurmanbekova Zulfiya; Shagirbayeva Bakhtigul; Turarova Aisulu; Ormanova Aigul; Turgumbayeva Nursulu; Gulnara Makhazhanova; Kurmanbekova Aigul – Eurasian Journal of Applied Linguistics, 2025
Emotiology is a growing area of interdisciplinary research and academic discourse which focuses on the linguistic manifestation of emotions. This study employs psycholinguistic methodologies to examine the rationale behind word selection in emotional communication, integrating linguacultural, psycholinguistic, structural, and comparative analyses.…
Descriptors: Psycholinguistics, Interdisciplinary Approach, Academic Language, Language Usage
Shuangjiao Wu; Mansour Amini; Omer Hassan Ali Mahfoodh – Eurasian Journal of Applied Linguistics, 2025
Research on modality shifts in English-to-Chinese courtroom translation remains limited, despite the critical role of modality in shaping legal nuance, and speaker intentionality in judicial settings. This gap is particularly consequential in high-stakes contexts such as the International Military Tribunal for the Far East (IMTFE), where…
Descriptors: Computational Linguistics, Court Litigation, Chinese, English
Jian-Hong Ye; Mengmeng Zhang; Weiguaju Nong; Li Wang; Xiantong Yang – Education and Information Technologies, 2025
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…
Descriptors: Artificial Intelligence, College Students, Problem Solving, Student Attitudes
Denise Bergström; Cathrine Norberg; Marie Nordlund – Education Inquiry, 2025
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…
Descriptors: Textbooks, Incidental Learning, Vocabulary Development, Second Language Learning
Yubin Xu; Lin Liu; Jianwen Xiong; Guangtian Zhu – Journal of Baltic Science Education, 2025
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…
Descriptors: Physics, Artificial Intelligence, Computer Software, Accuracy
Jenel T. Cavazos; Keane A. Hauck; Hannah M. Baskin; Catherine M. Bain – Teaching of Psychology, 2025
Background: The emergence of artificial intelligence (AI) in higher education has sparked numerous discussions about its implications. ChatGPT, a prominent AI conversational model, has attracted significant attention for its ability to generate essays and formulate responses. Objective: The current study sought to explore how and why students are…
Descriptors: Student Attitudes, Artificial Intelligence, Computer Software, Cheating
Skrifvars, Jenny; Antfolk, Jan; van Veldhuizen, Tanja; Sui, Veronica; Korkman, Julia – Applied Cognitive Psychology, 2022
Previous research has indicated that asylum interviewers--contrary to recommendations--use more closed than open questions to elicit information. In the current study, we investigated how information is elicited in asylum interviews by analyzing question-answer pairs in 105 official Finnish asylum interview transcripts. We developed a new coding…
Descriptors: Interviews, Refugees, Recall (Psychology), Personal Narratives
Davoodifard, Mahshad – Studies in Applied Linguistics & TESOL, 2022
While investigating plagiarism is relevant in different fields, verification of original authorship has also attracted attention in academia and L2 learning and assessment contexts. Generally associated with academic misconduct and dishonesty, plagiarism in writing can take many shapes and be hard to detect. In addition to being a very…
Descriptors: Plagiarism, Second Language Learning, Second Language Instruction, Authors
Liu, Shifeng; Bourgeois, Florence T.; Dunn, Adam G. – Research Synthesis Methods, 2022
A substantial proportion of trial registrations are not linked to corresponding published articles, limiting analyses and new tools. Our aim was to develop a method for finding articles reporting the results of trials that are registered on ClinicalTrials.gov when they do not include metadata links. We used a set of 27,280 trial registration and…
Descriptors: Medical Research, Web Sites, Identification, Computational Linguistics
Jolley, Jason R.; Maimone, Luciane – L2 Journal, 2022
Although use of machine translation (MT) technologies by learners may seem like a relatively new issue in foreign language (FL) education, researchers have been investigating connections between MT tools and FL teaching and learning for more than three decades, years before learners had access to free online services such as Google Translate. This…
Descriptors: Computational Linguistics, Translation, Second Language Learning, Second Language Instruction