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Xinming Chen; Ziqian Zhou; Malila Prado – International Journal of Assessment Tools in Education, 2025
This study explores the efficacy of ChatGPT-3.5, an AI chatbot, used as an Automatic Essay Scoring (AES) system and feedback provider for IELTS essay preparation. It investigates the alignment between scores given by ChatGPT-3.5 and those assigned by official IELTS examiners to establish its reliability as an AES. It also identifies the strategies…
Descriptors: Artificial Intelligence, Natural Language Processing, Technology Uses in Education, Automation
Vita Kogan; Andrea Re´ve´sz; Suet-sin Cheung – Foreign Language Annals, 2025
There is compelling empirical evidence suggesting that more authentic learning tasks improve second language learners' motivation and learning (Long, 1996; Van Lier, 2014). However, most research on this topic has focused on Germanic and Romance L2 languages, primarily in the context of speaking skills. Little is known about the effect of task…
Descriptors: Second Language Instruction, Second Language Learning, Russian, Writing (Composition)
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
Lee, Eun-Kyung; Fraundorf, Scott – Studies in Second Language Acquisition, 2022
We examined what causes L1-L2 differences in sensitivity to prominence cues in discourse processing. Participants listened to recorded stories in segment-by-segment fashion at their own pace. Each story established a pair of contrasting items, and one item from the pair was rementioned and manipulated to carry either a contrastive or…
Descriptors: Native Language, Second Language Learning, Intonation, Korean
Pack, Austin; Maloney, Jeffrey – TESOL Quarterly: A Journal for Teachers of English to Speakers of Other Languages and of Standard English as a Second Dialect, 2023
Progress made in Natural Language Processing (NLP) and Artificial Intelligence (AI) in recent years has resulted in these tools becoming more accessible for individuals who lack professional training. Of particular note are large language models, such as OpenAI's GPT-3.5. Discussions of utilizing AI for language education usually focus on the…
Descriptors: Artificial Intelligence, Computer Software, Teaching Methods, Second Language Learning
Ardeshir Geranpayeh – Language Teaching Research Quarterly, 2023
The recent surge in the popularity of Large Language Models (LLM) for language assessment underscores the growing significance of cost-effective language evaluation in our increasingly digitalized society. This paper posits that the application of computational psychometrics can enable the incorporation of technology into language assessment,…
Descriptors: Computational Linguistics, Psychometrics, Second Language Learning, Second Language Instruction
Nick Henry – Studies in Second Language Acquisition, 2023
Research on input processing and processing instruction has often employed a scoring method known as trials to criterion to observe the effects of instruction that emerge during training. Despite its common use in this research (see Fernández, 2021) this metric has never been evaluated critically. The present study first discusses several…
Descriptors: Second Language Learning, Language Research, Linguistic Input, Language Processing
C. M. Downey – ProQuest LLC, 2024
Advances in Natural Language Processing (NLP) over the past decade have largely been driven by the scale of data and computation used to train large neural network-based models. However, these techniques are inapplicable to the vast majority of the world's languages, which lack the vast digitized text datasets available for English and a few other…
Descriptors: Multilingualism, Natural Language Processing, Transfer of Training, Second Language Learning
Hyunwoo Kim; Sun Hee Park – Second Language Research, 2024
It remains an open question whether second language (L2) learners can process linguistic properties at the syntax-discourse interface. This study examines this issue in the context of the L2 processing of Korean dative sentences under different information structure requirements. Given that discourse constraints associated with information…
Descriptors: Korean, Second Language Learning, Syntax, Sentence Structure
Abbas Hadizadeh – Acuity: Journal of English Language Pedagogy, Literature and Culture, 2024
Since the advent of computer-mediated communication (CMC) technologies, the landscape of education, especially in English Language Teaching and learning, has undergone significant transformations. Academic writing, a key skill in this context, has witnessed notable benefits from technological advancements, particularly in the contemporary era. One…
Descriptors: Artificial Intelligence, Natural Language Processing, Technology Uses in Education, English (Second Language)
Soo Hyoung Joo – Studies in Applied Linguistics & TESOL, 2024
The advent of generative AI (GenAI) technology has impacted second language (L2) learning and assessment, offering new opportunities for learners to practice and improve their skills. One approach gaining interest is employing GenAI tools as writing or speaking partners to provide personalized, real-time feedback and assistance to learners. These…
Descriptors: Artificial Intelligence, Second Language Learning, Technology Uses in Education, Man Machine Systems
Paul Meara; Imma Miralpeix – Vocabulary Learning and Instruction, 2025
This paper is part 5 of a series of workshops that examines the properties of some simple models of vocabulary networks. While previous workshops dealt with activating words in the network, this workshop focuses on vocabulary loss. We will simulate two possible ways of modelling attrition: (a) explicitly turning active words OFF, and (b) raising…
Descriptors: Vocabulary Development, Workshops, Models, Networks
Chun Lai; Yang Liu; Yun Lin – Applied Linguistics, 2025
Research has established positive associations between informal digital activities and vocabulary knowledge. However, understanding how different types of digital activities relate to various aspects of vocabulary knowledge is limited. This study examined how the purpose of informal digital activities and strategic engagement during and/or after…
Descriptors: Vocabulary, Knowledge Level, Universities, English (Second Language)
Silvia Silleresi; Elena Pagliarini; Maria Teresa Guasti – First Language, 2025
This study investigates the interpretation of disjunction words (Italian 'o') in negative sentences by Italian monolingual and bilingual (L1 Italian - L2 English) children and Italian adults. Participants were asked to judge Italian sentences corresponding to the English sentence 'This animal did not eat the carrot or the pepper'. According to the…
Descriptors: Bilingualism, Semantics, Linguistic Theory, Italian
Zhao, Licui; Yasunaga, Daichi; Kojima, Haruyuki – Journal of Psycholinguistic Research, 2021
The present study reported an experiment examining whether both native speakers (NSs) and non-native speakers (NNSs) give formulaic sequences (FSs) priority over novel phrases in processing, as the dual route model has postulated. In this experiment, NSs and NNSs were asked to read Japanese versions of semi-transparent restricted collocations…
Descriptors: Native Speakers, Novelty (Stimulus Dimension), Language Processing, Japanese

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