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Showing 1 to 15 of 95 results Save | Export
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Wang, Cong; Zhu, Sida; Zhang, Haijing – Journal of Computer Assisted Learning, 2023
Background: Since the outbreak of COVID-19, universities in Hong Kong have implemented online and hybrid teaching modes, making computer-assisted language learning (CALL) a primary way for English learning. Research on English learning motivation and self-regulation has seldom considered learners' emotions (satisfaction and preparedness) and the…
Descriptors: Foreign Countries, Student Motivation, Online Courses, English (Second Language)
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Taguchi, Naoko; Chen, Ying; Qin, Yuqing – Applied Linguistics, 2023
This study explored the relationship between metapragmatic knowledge and transfer of learning from one speech act to another. Using a digital application, 105 Chinese learners of English received implicit instruction on how to formulate a high-imposition request to someone in a higher social status and larger social distance. Immediately after the…
Descriptors: Pragmatics, Speech Acts, Transfer of Training, Metalinguistics
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Herzig, Melissa; Allen, Thomas E. – Journal of Deaf Studies and Deaf Education, 2023
Design features of American Sign Language (ASL)-English bilingual storybook apps on the tablet computers, based on learning research, are intended to facilitate independent and interactive learning of English print literacy and of ASL skill among young learners. In 2013, the Science of Learning Center on Visual Language and Visual Learning…
Descriptors: Deafness, American Sign Language, Vocabulary Skills, Computer Software
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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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Mohamad Ahmad Saleem Khasawneh; Sayed M. Ismail; Negash Hussen – Language Testing in Asia, 2024
Artificial intelligence (AI) transforms the educational landscape by radically changing how lessons are taught and students are evaluated. In light of these facts, it is critical to consider learners' emotional and mental wellness as the building blocks of education. Given these facts, it is imperative to consider learners' emotional and mental…
Descriptors: Artificial Intelligence, Computer Software, Personal Autonomy, Mental Health
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Bahman Gorgian; Farzaneh Mir; Batool Nasiri – Iranian Journal of Language Teaching Research, 2025
The evaluation of in-service teacher educators ' feedback on using Computer-Assisted Language Learning (CALL) processes is important for providing educational policymakers with the strengths and weaknesses of the Vadana platform. It proposes an integrated CALL evaluation scale (ICES) eliciting the in-service teacher educators' literacy of using…
Descriptors: Computer Assisted Instruction, Second Language Learning, Second Language Instruction, Teacher Educators
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Hedayat Sarandi; Hossein Nassaji – Studies in Second Language Learning and Teaching, 2024
This study examines the role of recast frequency and its effectiveness in the acquisition of English articles in a computer-mediated context. Sixty-one preintermediate university language learners in Turkey were randomly divided into four main groups: high frequency recast (HF), low frequency recast (LF), test control, and task control groups. The…
Descriptors: Word Frequency, Second Language Learning, Second Language Instruction, Error Correction
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Wu-Yuin Hwang; Bo-Chen Guo; Anh Hoang; Ching-Chun Chang; Nien-Tsu Wu – Computer Assisted Language Learning, 2024
This study introduced an app, called Smart UEnglish, for helping EFL conversation practices in authentic contexts. These conversation practices were categorized into 'designed talk' and 'free talk', based on the content of an English textbook and authentic ambient environment that includes such things as transportation, weather and scenic…
Descriptors: English (Second Language), Second Language Learning, Second Language Instruction, Computer Software
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Nakhon Kitjaroonchai; Pimolporn Sanitchai; Chomphunut Phutikettrkit – Journal of English Teaching, 2024
This study examined the relationships between reading assistant (RA) software usage, reading comprehension ability, and post-TOEIC reading scores among Thai EFL university students. Seventy-six students from a private international university in central Thailand participated. Data were collected from students' pre- and post-TOEIC reading scores…
Descriptors: Correlation, Computer Software, Computer Assisted Instruction, Reading Fluency
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Okim Kang; Maria Kostromitina; Xun Yan; Ron I. Thomson; Talia Isaacs – Language Assessment Quarterly, 2025
There has been much debate in assessment research about the inclusion of Global English accents in high-stakes listening tests. This study explored test-takers' attitudes toward the inclusion of different English accents in the Duolingo English Test (DET) 2021 test version and their associations with listening test scores. One hundred sixty…
Descriptors: English (Second Language), Second Language Learning, Second Language Instruction, Computer Software
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Marta Gràcia; Jesús M. Alvarado; Fàtima Vega; Maria Josep Jarque; Pamela Castillo; Ana Luisa Adam-Alcocer – Computer Assisted Language Learning, 2025
Digital tools can guide and support teachers in professional development programmes. The aim of this study was four-fold: (1) to explore changes introduced in classroom methodology by secondary school teachers during their participation in a professional development programme, using the digital tool EVALOE-DSS, based on conversational methodology;…
Descriptors: Oral Language, Faculty Development, Language Teachers, Second Language Instruction
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Lee, Jang Ho; Lee, Hansol – Language Awareness, 2023
As digital technology is becoming an increasingly critical component of education, learners' socioeconomic status (SES) and technology use are becoming more important in their learning. In the context of English learning, the present study modeled how learners' SES and their perception of technology use for language learning are linked to their…
Descriptors: Socioeconomic Status, English (Second Language), Second Language Learning, Second Language Instruction
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Durongbhandhu, Nunpaporn; Suwanasilp, Danuchawat – LEARN Journal: Language Education and Acquisition Research Network, 2023
Language Instruction, especially teaching and learning English for specific purposes (ESP) with Computer-Assisted Language Learning (CALL) has grown in popularity for over a decade. Task-based Language Teaching (TBLT) is one of the appropriate teaching approaches used to make CALL more effective. This study attempts to develop, implement, and…
Descriptors: Computer Assisted Instruction, Teaching Methods, English (Second Language), Second Language Learning
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Chunping Zheng; Xu Chen; Huayang Zhang; Ching Sing Chai – Language Learning & Technology, 2024
This quasi-experimental research investigates the employment of a formative assessment platform aided by artificial intelligence in an English public speaking course. The platform integrates deep learning, automatic speech recognition, and automatic writing evaluation. It provides automated assessment and immediate feedback on speakers' public…
Descriptors: Peer Evaluation, Comparative Analysis, Feedback (Response), Self Evaluation (Individuals)
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Brevik, Lisbeth M.; Holm, Thea – ELT Journal, 2023
Connecting informal and formal language teaching and learning has gained prominence as a way to understand language development among teenagers, but questions remain regarding its application in L2 contexts. This study investigates the significance of such connections in two L2 English classes taught by the same teacher, where students were…
Descriptors: Second Language Learning, Second Language Instruction, Teaching Methods, Informal Education
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