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Showing 1 to 15 of 44 results Save | Export
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Jessie S. Barrot – Language Teaching Research Quarterly, 2024
This paper explores the transformative potential of integrating generative artificial intelligence (AI) technologies, particularly ChatGPT, into second language (L2) writing pedagogy. The paper begins by examining the evolution of L2 writing pedagogy and highlighting the strengths and limitations of each. It then discusses the integration of…
Descriptors: Writing Instruction, Computer Software, Synchronous Communication, Artificial Intelligence
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Chung Kwan Lo; Philip Leung Ho Yu; Simin Xu; Davy Tsz Kit Ng; Morris Siu-yung Jong – Smart Learning Environments, 2024
ChatGPT, a sophisticated artificial intelligence (AI) chatbot capable of providing personalised responses to users' inquiries, recently has had a substantial impact on education. Many studies have explored the use of ChatGPT in English as a second language (ESL) and English as a foreign language (EFL) education since its release on 30 November…
Descriptors: Artificial Intelligence, Computer Software, Synchronous Communication, English (Second Language)
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Dongkwang Shin; Jang Ho Lee – Education and Information Technologies, 2024
In recent years, various strategies have been employed to integrate ChatGPT into the field of second language (L2) teaching and learning. In line with such efforts, this study investigates the potential of ChatGPT as an automated writing evaluation (AWE) tool for L2 assessment, given the lack of systematic and quantitative investigation into human…
Descriptors: Artificial Intelligence, Computer Software, Synchronous Communication, Second Language Instruction
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Khaled ElEbyary; Ramy Shabara – Teaching English with Technology, 2024
Although some published studies have challenged the importance and efficacy of written corrective feedback (WCF), ESL/EFL tutors continue to value its practice and provide WCF to their students in spite of their time and workload constraints. The development of various automated-feedback applications over the last few years contributed to our…
Descriptors: Artificial Intelligence, Computer Software, Synchronous Communication, Feedback (Response)
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Min Zou; Liang Huang – Education and Information Technologies, 2024
Despite the growing popularity of ChatGPT and chatbot-assisted writing, research on the use of ChatGPT in second language (L2) writing classrooms remains insufficient. Using reflection papers and focus group interviews, the qualitative study examined doctoral students' views on the impact of using ChatGPT on L2 writing and their expected…
Descriptors: Artificial Intelligence, Computer Software, Synchronous Communication, Second Language Instruction
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Wenli Tsou; Angel M. Y. Lin; Fay Chen – Language, Culture and Curriculum, 2024
This paper responds to the prevalent discourse on the 'lack of English proficiency' among EMI teachers in contexts where English is used as an additional language. It explores how AI-powered tools, particularly ChatGPT, enable EMI teachers in Taiwan to leverage their expertise and teach in English with more confidence. This study first describes…
Descriptors: Artificial Intelligence, Computer Software, Synchronous Communication, Higher Education
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Kunyang Qu; Xuande Wu – Education and Information Technologies, 2024
The advancement of information technologies has led to increased attention to AI chatbots as valuable tools for computer-assisted language learning (CALL), drawing the attention of both academic scholars and industry practitioners. However, there remains limited understanding regarding the adoption of AI chatbots, specifically within the context…
Descriptors: Computer Software, Second Language Instruction, English (Second Language), Artificial Intelligence
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Sirin Sawangwan – International Journal of Computer-Assisted Language Learning and Teaching, 2024
This study statistically compared the differences between Chat Generative Pre-Trained Transformer (ChatGPT) and teacher instruction, comparing the use of ChatGPT with teachers' roles in developing English as a Foreign Language writing. A mixed-method approach was employed. The quantitative component examined learners' writing performance, before…
Descriptors: Technology Uses in Education, Artificial Intelligence, Computer Software, Synchronous Communication
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Claudia Mustroph; Jeanine Steinbock – Technology in Language Teaching & Learning, 2024
Artificial intelligence becomes increasingly prominent in digital language teaching and learning and it will gain even more significance in the future of EFL education (cf. Schmidt & Strasser 2022). Therefore, it is key to explore how those who will shape this future perceive the newest development: pre-service EFL teachers. As Zheng puts it:…
Descriptors: Artificial Intelligence, Computer Software, Synchronous Communication, Technology Uses in Education
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David Imamyartha; Utami Widiati; M. Zaini Miftah – MEXTESOL Journal, 2024
Despite the recent growth of mobile instant messenger (MIM), research into the correlation between English learners' learning gains, learning engagement, and how this engagement helps develop authentic relationships remains underexplored. This mixed-method study involved 222 college English learners to investigate their engagement in team-based…
Descriptors: Discourse Analysis, Computer Software, Computer Mediated Communication, Synchronous Communication
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Godwin-Jones, Robert – Language Learning & Technology, 2022
In recent years, advances in artificial intelligence (AI) have led to significantly improved, or in some cases, completely new digital tools for writing. Systems for writing assessment and assistance based on automated writing evaluation (AWE) have been available for some time. That is the case for machine translation as well. More recent are…
Descriptors: Writing Instruction, Artificial Intelligence, Feedback (Response), Writing Evaluation
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Ranalli, Jim; Yamashita, Taichi – Language Learning & Technology, 2022
To the extent automated written corrective feedback (AWCF) tools such as Grammarly are based on sophisticated error-correction technologies, such as machine-learning techniques, they have the potential to find and correct more common L2 error types than simpler spelling and grammar checkers such as the one included in Microsoft Word (technically…
Descriptors: Error Correction, Feedback (Response), Computer Software, Second Language Learning
Malabarba, Taiane – TESOL in Context, 2022
This exploratory study focuses on changes in the accomplishment of requests by an adult English as an additional language speaker/ learner interacting on WhatsApp for nine months. The analysis follows a microanalytic approach to digital interaction informed by recent developments within longitudinal conversation analysis. It unpacks the array of…
Descriptors: Computer Software, English (Second Language), Second Language Learning, Second Language Instruction
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Galip Kartal – Computer Assisted Language Learning, 2024
The overarching goal of this design-based research was to explore WhatsApp's potential for facilitating and supporting speaking and pronunciation instruction in an EFL large-class speaking course. More specifically, this paper explored the perceived learning outcomes of WhatsApp-supported pedagogy in large English-speaking classes. Ninety-nine…
Descriptors: Computer Software, English (Second Language), Second Language Instruction, Second Language Learning
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Musa, Rose Jummai; Ejovi, Ogheneyerhowo Monica; Oghenerhovweya, Felix Oghenefega – Education Quarterly Reviews, 2021
Online teaching has been in use for a while, but not many people cared to embrace it as a method of teaching until the COVID-19 pandemic literally forced them into giving it a consideration. The sudden outbreak of the COVID-19 pandemic led to the shutting down of schools across the country and several parts of the world. Consequently, many state…
Descriptors: Flipped Classroom, Second Language Learning, Second Language Instruction, English (Second Language)
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