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Dong-Ok Won; Yu Kyoung Shin; Ho-Jung Kim; Isaiah WonHo Yoo – Language Assessment Quarterly, 2025
Despite the growing interest in AI for language assessment, there remains a significant research gap regarding its usefulness for assessing less proficient language skills, particularly those of learners of English as a second or foreign language (S/FL). AI models often prioritize proficient writing, neglecting the intricacies of learner language.…
Descriptors: Artificial Intelligence, Computer Software, Phrase Structure, Native Language
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Andi Indah Yulianti; Dwiani Septiana; Firman A. D.; Musayyedah; Abd. Rasyid; Ai Kurniati – Eurasian Journal of Applied Linguistics, 2024
This paper presents a brief morphological description of the affixation processes in the Dayak Bentian Language (DBL), a minority language at risk of extinction in East Kalimantan, Indonesia. To this end, the paper explores the affixation processes, including the form, function, and meaning of affixes and their morphophonemic processes. The data…
Descriptors: Morphology (Languages), Morphemes, Computational Linguistics, Computer Software
Natasha Vernooij – ProQuest LLC, 2024
This dissertation investigates how bilinguals use their two grammars to comprehend written intra-sentential codeswitches. I focus on adjective/noun constructions in Spanish and English where I manipulate the congruence of grammatical word order in the two languages across the codeswitch boundary. This allows me to test three codeswitching…
Descriptors: Spanish, English (Second Language), Second Language Learning, Native Language
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Montri Tangpijaikul – LEARN Journal: Language Education and Acquisition Research Network, 2025
Despite the significant impact of the lexical approach for vocabulary learning, its classroom implementation has not been uniform. While related activities share the common Observe-Hypothesize-Experiment (OHE) elements, practitioners and researchers do not highlight how language input from the observing stage is turned into output and at what…
Descriptors: Artificial Intelligence, Computer Software, Technology Integration, Teaching Methods
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Sri Wuli Fitriati; Aldha Williyan – Journal of Pedagogical Research, 2025
This research investigates the use of artificial intelligence (AI) tools by Indonesian EFL learners to enhance their presentation skills through self-regulated learning. With the rapid advancement of AI technologies, their integration into educational practices has become increasingly significant, particularly in developing essential skills like…
Descriptors: English (Second Language), Second Language Learning, Second Language Instruction, Speech Communication
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Ji-young Shin; Yujeong Choi – Language Learning & Technology, 2025
The use of AI-powered chatbots has recently been extensively examined for second language (L2) learning. While their positive effects have been widely reported regarding L2 English learning, studies involving less commonly taught languages (LCTLs) are scant. The current study incorporated an AI chatbot called Iruda in L2 Korean teaching, to…
Descriptors: Artificial Intelligence, Computer Software, Synchronous Communication, Korean
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Pong-ampai Kongcharoen; Jiraporn Dhanarattigannon; Intira Bumrungsalee – rEFLections, 2025
In recent years, there has been a growing trend of using informal styles in academic writing, including research articles. To examine the degree of formality in students' writing, this corpus-based study aimed to analyze the formal linguistic features in the academic writing assignments of English-major students at a Thai university. The learner…
Descriptors: Academic Language, Essays, Majors (Students), English (Second Language)
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Humairah Fauziah; Yazid Basthomi; Nurenzia Yannuar – TESL-EJ, 2025
Concordancer tools have been used to help students learn aspects of written English by engaging them to access, examine, and analyze language examples in a corpus. Nonetheless, their efficacy remains uncertain when compared to other tools. This study compared a concordancer tool to Grammarly, QuillBot, Google search, online dictionaries, and…
Descriptors: Indexes, Computational Linguistics, English (Second Language), Second Language Learning
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Atthasith Chuanpipatpong – PASAA: Journal of Language Teaching and Learning in Thailand, 2025
Writing is often considered the most difficult language skill for EFL learners due to its persistent grammatical and lexical challenges. Although tools such as Google Translate and ChatGPT are increasingly used, concerns persist regarding overreliance and reduced learner autonomy. This study investigated the grammatical errors and writing…
Descriptors: Foreign Countries, Error Analysis (Language), English (Second Language), Second Language Learning
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Qiao Wang; Ralph L. Rose; Ayaka Sugawara; Naho Orita – Vocabulary Learning and Instruction, 2025
VocQGen is an automated tool designed to generate multiple-choice cloze (MCC) questions for vocabulary assessment in second language learning contexts. It leverages several natural language processing (NLP) tools and OpenAI's GPT-4 model to produce MCC items quickly from user-specified word lists. To evaluate its effectiveness, we used the first…
Descriptors: Vocabulary Skills, Artificial Intelligence, Computer Software, Multiple Choice Tests
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Chutinan Noobutra – LEARN Journal: Language Education and Acquisition Research Network, 2024
The present study investigates whether or not Thai students' English writing skills can be improved by using an online grammar checker. First, typical syntactic errors made by undergraduate students majoring in English and English for Careers were examined. Secondly, possible reasons for syntactic errors in English writing in the light of Lado's…
Descriptors: Error Correction, Native Language, Second Language Learning, Second Language Instruction
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Raymund T. Palayon; Yenying Chongchit – PASAA: Journal of Language Teaching and Learning in Thailand, 2025
Grammatical knowledge for effective English writing remains a significant need among Thai university students, while identifying the relevant grammatical topics to address this need continues to be a challenge in teaching writing courses. Previous papers on writing in Thai universities have mainly focused on writing performance issues, rather than…
Descriptors: Computational Linguistics, Teaching Methods, English (Second Language), Second Language Learning
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Casper J. D. Jensen; Teresa Cadierno – Language Learning Journal, 2024
The number of learners seeking to acquire an L2 by means of apps is ever-increasing. This study examined the effectiveness of using the app "Mondly" for the acquisition of L2 English vocabulary while accounting for differences in the acquisition of receptive and productive aspects of word knowledge. Twelve Danish young learners (aged…
Descriptors: Receptive Language, Expressive Language, Correlation, Computer Assisted Instruction
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Yandong Zhang; Yongliang Zhang – Education and Information Technologies, 2025
In the digital age, technology-assisted language learning (TALL) has emerged as a pivotal approach to enhancing English linguistic skills among college students. This study explores the effectiveness of TALL innovations in enhancing English linguistic skills among college students. Employing a mixed-methods approach, data were collected through…
Descriptors: Technology Uses in Education, Computer Assisted Instruction, Second Language Instruction, English (Second Language)
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Ali Al Ghaithi; Behnam Behforouz – Journal of Educators Online, 2024
The current study attempted to measure the impact of using an interactive WhatsApp bot designed using Python language programming in grammar learning. To this end, sixty Omani pre-intermediate English proficiency learners were the sample population of this study to act as a control and experimental group, with an equal number of students in each…
Descriptors: Grammar, Programming Languages, English (Second Language), Second Language Learning
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