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Haerim Hwang – Written Communication, 2025
The use of subordination enables language users to achieve syntactic efficiency by allowing them to connect ideas in temporal/logical relation. Although the importance of subordination has been recognized in previous research on second language (L2) writing, it has been typically assessed with global indices that measure overall ratio of…
Descriptors: Second Language Learning, Writing (Composition), Form Classes (Languages), Syntax
Monteiro, Kátia; Crossley, Scott; Botarleanu, Robert-Mihai; Dascalu, Mihai – Language Testing, 2023
Lexical frequency benchmarks have been extensively used to investigate second language (L2) lexical sophistication, especially in language assessment studies. However, indices based on semantic co-occurrence, which may be a better representation of the experience language users have with lexical items, have not been sufficiently tested as…
Descriptors: Second Language Learning, Second Languages, Native Language, Semantics
Mohammed Sani Ya’u; Mohammed Sadaa Mohammed – International Journal of Education and Literacy Studies, 2025
The rise of AI-assisted writing tools has transformed academic literacy, as it offers students support in grammar correction, sentence structure, and idea generation. However, concerns about academic integrity and over-reliance on AI are on the increase. This study investigates how Nigerian university students use AI writing tools and examines…
Descriptors: Foreign Countries, Artificial Intelligence, Technology Uses in Education, Natural Language Processing
Muhammad Mooneeb Ali; Ahmed M. Alaa; Wael Alharbi; Issa Al Qurashi – International Journal of Technology in Education, 2025
Machine and prompt-based Artificial Intelligence (AI) learning has made significant evolution profusely. In education, it has revitalized researchers and educators to scout out subsequent advantages for optimizing learning results. Chiefly, Generative AI has exhibited substantial potential as a tool for language augmentation. This study aims to…
Descriptors: Foreign Countries, Grade 10, Artificial Intelligence, Natural Language Processing
Feifei Wang; Alan C. K. Cheung; Amanda J. Neitzel; Ching Sing Chai – Review of Educational Research, 2025
Given the importance of conversation practice in language learning, chatbots, especially ChatGPT, have attracted considerable attention for their ability to converse with learners using natural language. This review contributes to the literature by examining the currently unclear overall effect of using chatbots on language learning performance…
Descriptors: Artificial Intelligence, Man Machine Systems, Natural Language Processing, Second Language Learning
Hui-Chin Yeh – Educational Technology & Society, 2024
This paper presents the integration of generative artificial intelligence (GAI) and other AI tools in English as a Foreign Language (EFL) education, addressing the limitations of traditional pedagogical approaches. Conventional EFL methods, often reliant on rote learning for standardized tests, struggle to impart practical language skills relevant…
Descriptors: Technology Integration, Artificial Intelligence, Technology Uses in Education, English (Second Language)
Nan Tang – International Journal of Web-Based Learning and Teaching Technologies, 2025
Human-Machine Interaction (HMI) technology has revolutionized the landscape of oral English education, offering new possibilities for improving learning efficiency and experiences. This paper presents an innovative teaching system that integrates real-time speech recognition and feedback capabilities with advanced natural language processing (NLP)…
Descriptors: Language Proficiency, Oral Language, Technology Uses in Education, Natural Language Processing
Tzu-Yu Tai – Computer Assisted Language Learning, 2024
Intelligent personal assistants (IPAs) are a valuable tool in language learning because they provide opportunities for authentic interaction. However, their effectiveness, compared with that of human interlocutors, in facilitating second and foreign language interaction has not been explored. Therefore, this study investigated the effect of IPAs…
Descriptors: Artificial Intelligence, Natural Language Processing, English (Second Language), Second Language Learning
Masaki Eguchi – Vocabulary Learning and Instruction, 2022
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…
Descriptors: Lexicology, Oral Language, Language Proficiency, Vocabulary Development
Chen, Howard Hao-Jan; Yang, Christine Ting-Yu; Lai, Kyle Kuo-Wei – Interactive Learning Environments, 2023
Recent studies on the use of Intelligent Personal Assistant (IPA) for second language (L2) learning have found that IPAs such as "Amazon's Alexa" is useful and motivating for L2 learners and that learners' language proficiency might influence their perceptions toward IPAs. However, most existing studies focused on the potentials of…
Descriptors: English (Second Language), Second Language Learning, College Students, Artificial Intelligence
Eguchi, Masaki; Kyle, Kristopher – Modern Language Journal, 2020
Lexical sophistication has been an important indicator of productive lexical proficiency for almost 30 years. Although lexical sophistication has most often been operationalized as the proportion of low frequency words in a text, a growing body of research has indicated that a number of indices such as concreteness, hypernymy, and n-gram…
Descriptors: Oral Language, Language Proficiency, Lexicology, English Language Learners
Fengkai Liu; Yishi Jiang; Chun Lai; Tan Jin – Language Learning & Technology, 2024
Differentiated instruction is much demanded yet quite challenging in face of the growing student diversity in today's K-12 classrooms. One major challenge is the provision of differentiated materials to students. Automated text simplification (ATS) tools fueled by natural language processing may serve as a useful assistant for teachers. However,…
Descriptors: Automation, Individualized Instruction, Natural Language Processing, Technology Uses in Education
Haerim Hwang; Hyunwoo Kim – Language Testing, 2024
Given the lack of computational tools available for assessing second language (L2) production in Korean, this study introduces a novel automated tool called the Korean Syntactic Complexity Analyzer (KOSCA) for measuring syntactic complexity in L2 Korean production. As an open-source graphic user interface (GUI) developed in Python, KOSCA provides…
Descriptors: Korean, Natural Language Processing, Syntax, Computer Graphics
Osama Koraishi – Language Teaching Research Quarterly, 2024
This study conducts a comprehensive quantitative evaluation of OpenAI's language model, ChatGPT 4, for grading Task 2 writing of the IELTS exam. The objective is to assess the alignment between ChatGPT's grading and that of official human raters. The analysis encompassed a multifaceted approach, including a comparison of means and reliability…
Descriptors: Second Language Learning, English (Second Language), Language Tests, Artificial Intelligence
Cheng Yang; Rui Li; Lu Yang – Journal of Educational Computing Research, 2025
Despite the increasing adoption of generative artificial intelligence (GenAI) to facilitate second language (L2) writing, current reviews are insufficient in their depth and scope to effectively highlight the forefront of research trends. To bridge the gap, this paper synthesizes findings from 73 empirical studies on GenAI-assisted L2 writing…
Descriptors: Artificial Intelligence, Man Machine Systems, Natural Language Processing, Second Language Instruction
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