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Showing 1 to 15 of 26 results Save | Export
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Tahereh Firoozi; Okan Bulut; Mark J. Gierl – International Journal of Assessment Tools in Education, 2023
The proliferation of large language models represents a paradigm shift in the landscape of automated essay scoring (AES) systems, fundamentally elevating their accuracy and efficacy. This study presents an extensive examination of large language models, with a particular emphasis on the transformative influence of transformer-based models, such as…
Descriptors: Turkish, Writing Evaluation, Essays, Accuracy
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Kornwipa Poonpon; Paiboon Manorom; Wirapong Chansanam – Contemporary Educational Technology, 2023
Automated essay scoring (AES) has become a valuable tool in educational settings, providing efficient and objective evaluations of student essays. However, the majority of AES systems have primarily focused on native English speakers, leaving a critical gap in the evaluation of non-native speakers' writing skills. This research addresses this gap…
Descriptors: Automation, Essays, Scoring, English (Second Language)
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Nelson, Brenna Scadden; Petersen, Douglas B.; Rai, Anuradha – Language and Education, 2022
Background: Children in India are among the lowest performing students on international reading comprehension and writing assessments. Oral language instruction may improve these literacy outcomes. Aim: This pilot study investigated whether a multi-tiered system of language support (MTSLS) improved oral narrative language comprehension, reading…
Descriptors: Foreign Countries, Oral Language, Language Processing, Reading Comprehension
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Fu, Shixuan; Gu, Huimin; Yang, Bo – British Journal of Educational Technology, 2020
Traditional educational giants and natural language processing companies have launched several artificial intelligence (AI)-enabled digital learning applications to facilitate language learning. One typical application of AI in digital language education is the automatic scoring application that provides feedback on pronunciation repeat outcomes.…
Descriptors: Affordances, Artificial Intelligence, Computer Assisted Testing, Scoring
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Biju Theruvil Sayed; Zein Bassam Bani Younes; Ahmad Alkhayyat; Iroda Adhamova; Habesha Teferi – Language Testing in Asia, 2024
There has been a surge in employing artificial intelligence (AI) in all areas of language pedagogy, not the least among them language testing and assessment. This study investigated the effects of AI-powered tools on English as a Foreign Language (EFL) learners' speaking skills, psychological well-being, autonomy, and academic buoyancy. Using a…
Descriptors: Artificial Intelligence, Language Tests, Success, Speech Skills
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Han, Chao; Lu, Xiaolei – Computer Assisted Language Learning, 2023
The use of translation and interpreting (T&I) in the language learning classroom is commonplace, serving various pedagogical and assessment purposes. Previous utilization of T&I exercises is driven largely by their potential to enhance language learning, whereas the latest trend has begun to underscore T&I as a crucial skill to be…
Descriptors: Translation, Computational Linguistics, Correlation, Language Processing
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Garraffa, Maria; Smart, Francesca; Obregón, Mateo – Language Learning and Development, 2021
The present study investigated the effect of classroom-based syntactic training on children's abilities to produce passive sentences. Thirty-three monolingual English children (mean age 5;2), were involved in passive-voice training based on storytelling sessions within a priming design. The training was delivered in a classroom setting, with two…
Descriptors: Teaching Methods, Story Telling, English, Monolingualism
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L. Hannah; E. E. Jang; M. Shah; V. Gupta – Language Assessment Quarterly, 2023
Machines have a long-demonstrated ability to find statistical relationships between qualities of texts and surface-level linguistic indicators of writing. More recently, unlocked by artificial intelligence, the potential of using machines to identify content-related writing trait criteria has been uncovered. This development is significant,…
Descriptors: Validity, Automation, Scoring, Writing Assignments
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Konopka, Agnieszka E. – Journal of Experimental Psychology: Learning, Memory, and Cognition, 2019
Two experiments tracked the encoding of relational information (actions at the level of the prelinguistic message and verbs at the level of the sentence) during formulation of transitive event descriptions (e.g., The tiger is scratching the photographer). At what point during message and sentence formulation do speakers encode actions and verbs?…
Descriptors: Verbs, Language Processing, Psycholinguistics, Sentences
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Han, Chao; Xiao, Xiaoyan – Language Testing, 2022
The quality of sign language interpreting (SLI) is a gripping construct among practitioners, educators and researchers, calling for reliable and valid assessment. There has been a diverse array of methods in the extant literature to measure SLI quality, ranging from traditional error analysis to recent rubric scoring. In this study, we want to…
Descriptors: Comparative Analysis, Sign Language, Deaf Interpreting, Evaluators
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Olkhovska, Alla; Frolova, Iryna – Advanced Education, 2020
This paper outlines the results of the experimental study aiming to explore the impact of using machine translation engines on the performance of translation students. Machine translation engines refer to the software developed to translate source texts into target languages in a fully automatic mode which can be classified according to the…
Descriptors: Translation, Computational Linguistics, English (Second Language), Second Language Learning
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Dong, Yanping; Li, Yinghui; Zhao, Nan – Interpreter and Translator Trainer, 2019
To explore the acquisition of interpreting strategies by student interpreters, the present study first built a framework of 22 strategies based on a thorough literature review, and then identified and compared 21 strategies adopted by 66 student interpreters in a task of B-to-A consecutive interpreting (CI) between two training stages (2nd month…
Descriptors: Translation, Second Languages, Language Processing, Comparative Analysis
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Loaiza, Vanessa M.; Camos, Valérie – Journal of Experimental Psychology: Learning, Memory, and Cognition, 2018
Two main mechanisms, articulatory rehearsal and attentional refreshing, are argued to be involved in the maintenance of verbal information in working memory (WM). Whereas converging research has suggested that rehearsal promotes the phonological representations of memoranda in working memory, little is known about the representations that…
Descriptors: Role, Short Term Memory, Verbal Communication, Recall (Psychology)
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Hsu, Dong-Bo – Language Acquisition: A Journal of Developmental Linguistics, 2014
Three experiments on structural priming in Mandarin-speaking 5-year-olds were conducted to test the priming as implicit learning hypothesis. It describes a learning mechanism that acts on a shared abstract syntactic representation in response to linguistic input using an equi-biased Mandarin SVO-"ba" alternation. The first two…
Descriptors: Mandarin Chinese, Syntax, Priming, Language Processing
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Soruç, Adem; Qin, Jingjing; Kim, YouJin – TESL Canada Journal, 2017
This article reports on a study that investigated whether processing instruction(PI) or production-based instruction (PBI) is more effective for the teaching of regular past simple verb forms in English. In addition, this study examined whether explicit grammatical information (EI) mediates the effectiveness of PI or PBI. A total of 194 Turkish…
Descriptors: Grammar, Experimental Groups, Teaching Methods, Control Groups
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