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Showing 1 to 15 of 16 results Save | Export
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Jie Zhang – International Journal of Information and Communication Technology Education, 2024
This paper explores the development of an intelligent translation system for spoken English using Recurrent Neural Network (RNN) models. The fundamental principles of RNNs and their advantages in processing sequential data, particularly in handling time-dependent natural language data, are discussed. The methodology for constructing the…
Descriptors: Oral Language, Translation, Computational Linguistics, Computer Software
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Mubarak M. Aldawsari; Abdullah D. Alenezi; John I. Liontas – Reading Matrix: An International Online Journal, 2025
Artificial Intelligence (AI) has rapidly become a pivotal force in education, offering personalized learning pathways and dynamic solutions to longstanding instructional challenges. In English as a Foreign Language (EFL) contexts, idiomatic competence remains a challenging aspect of language development, often eluding effective coverage through…
Descriptors: Artificial Intelligence, Computer Software, Teaching Methods, Technology Integration
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Nakhon Kitjaroonchai; Suzanna Maywald – Journal of English Teaching, 2024
This study investigated the effects of a reading assistant software on the fluency and accuracy of speech production among EFL university students, employing a one-group pretest-posttest design. The participants included 50 Thai undergraduate English majors in their first and second years. Data were analyzed using paired samples t-tests to measure…
Descriptors: Reading Instruction, Computer Software, Accuracy, Oral Language
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Mahmoud Abdi Tabari; Minyoung Cho – Language Teaching Research, 2025
To test the predictive power of the SSARC (stabilize, simplify, automatize, reconstruct, and complexify) model of pedagogic task sequencing in second language (L2) writing development, the present study explores the performance of written decision-making tasks with varied levels of cognitive complexity in a simple-to-complex sequence in comparison…
Descriptors: English (Second Language), Second Language Learning, Second Language Instruction, Advanced Students
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Xu, Jinfen; Zhang, Shanshan – Asia-Pacific Education Researcher, 2022
Automated writing evaluation (AWE) systems have been increasingly incorporated in L2 writing instruction. However, how the instructional use of AWE influences learners' writing has remained inconclusive partly due to variations in heterogeneous learners. Underpinned by a sociocultural theory, this classroom-based study was to understand how…
Descriptors: Second Language Learning, Second Language Instruction, English (Second Language), Writing Evaluation
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Xiaoling Bai; Nur Rasyidah Mohd Nordin – Eurasian Journal of Applied Linguistics, 2025
A perfect writing skill has been deemed instrumental to achieving competence in EFL, yet it is considered one of the most impressive learning domains. This study investigates the impact of human-AI collaborative feedback on the writing proficiency of EFL students. It examines key teaching domains, including the teaching environment, teacher…
Descriptors: Artificial Intelligence, Feedback (Response), Evaluators, Writing Skills
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Orellana, Anymir; Arguello, Georgina; Kanzki-Veloso, Elda; Wojnas, Katarzyna – Quarterly Review of Distance Education, 2021
Automated real-time captions and subtitles are useful for implementing Universal Design for Learning (UDL) Checkpoint 1.2 that suggests offering a text-based alternative to auditory information for all learners to access the content equally. The purpose of this study was to determine the effectiveness of the "Microsoft PowerPoint Live"…
Descriptors: Access to Education, Inclusion, Visual Aids, Spanish
Grace Hui Chin Lin – Online Submission, 2024
This research was conducted in a National University of western part in Taiwan. It guided students to select language learning games of language learning (Amur et al. (2024; Huang & Liaw, 2021; Srinivasan & Reddy 2023) on Facebook or other websites to improve English Language proficiencies in listening, speaking reading and writing. Below…
Descriptors: English (Second Language), Second Language Learning, Second Language Instruction, Artificial Intelligence
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Shijiao Jia; Zhaoxia Lu – Journal of Information Technology Education: Research, 2025
Aim/Purpose: This study examines the effects of the mobile-assisted task-based language teaching (M-TBLT) approach on EFL learners' oral production. It evaluates three key second language acquisition measures: complexity (syntactic and lexical), accuracy (error-free clauses and correct verb forms), and fluency (unpruned and pruned speech rates).…
Descriptors: Oral Language, Task Analysis, Second Language Learning, Second Language Instruction
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Ariamanesh, Ali A.; Barati, Hossein; Youhanaee, Manijeh – International TESOL Journal, 2022
The present study investigated the speaking module of TOEFL iBT with an emphasis on the dichotomy of independent and integrated tasks. The potential differences between the two speaking conditions were intended to be explored based on the oral performance elicited from a group of Iranian test takers. To collect the required data, a simulated…
Descriptors: Second Language Learning, English (Second Language), Language Tests, Computer Assisted Testing
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Dizon, Gilbert; Gayed, John M. – JALT CALL Journal, 2021
While the use of automated writing evaluation software has received much attention in CALL literature, as Frankenberg-Garcia (2019) notes, empirical research on predictive text and intelligent writing assistants is lacking. Thus, this study addressed this gap in the literature by examining the impact of Grammarly, an intelligent writing assistant…
Descriptors: Foreign Countries, College Students, Writing Evaluation, Computer Software
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Chung, Eun Seon; Ahn, Soojin – Computer Assisted Language Learning, 2022
Many studies that have investigated the educational value of online machine translation (MT) in second language (L2) writing generally report significant improvements after MT use, but no study as of yet has comprehensively analyzed the effectiveness of MT use in terms of various measures in syntactic complexity, accuracy, lexical complexity, and…
Descriptors: Translation, Computational Linguistics, English (Second Language), Second Language Learning
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Arcon, Nina; Klein, Perry D.; Dombroski, Jill D. – Reading & Writing Quarterly, 2017
Previous research has shown that both dictation and speech-to-text (STT) software can increase the quality of writing for native English speakers. The purpose of this study was to investigate the effect of these modalities on the written composition and cognitive load of elementary school English language learners (ELLs). In a within-subjects…
Descriptors: Verbal Communication, Assistive Technology, Computer Software, Handwriting
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Wilches, Astrid – GIST Education and Learning Research Journal, 2014
The purpose of this study is to investigate learners' perceptions of the benefits of tasks using voice tools to reinforce their oral skills. Additionally, this study seeks to determine what aspects of task design affected the students' perceptions. Beginner learners aged 18 to 36 with little or no experience in the use of technological tools for…
Descriptors: Foreign Countries, Oral Language, Educational Benefits, Computer Mediated Communication
Son, Joohee – ProQuest LLC, 2013
The current government in Korea, in order to encourage more fluent use of English, has shifted the focus of the English curriculum from language accuracy to language fluency by encouraging English teachers to use English as a classroom language. However, many English teachers in Korea feel burdened by this policy, mainly because they themselves…
Descriptors: Language Fluency, Computer Software, English (Second Language), Second Language Learning
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