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Emmanuel Senior Tenakwah; Gideon Boadu; Emmanuel Junior Tenakwah; Michael Parzakonis; Mark Brady; Penny Kansiime; Shannon Said; Sarah Eyaa; Raymond Kwojori Ayilu; Ciprian Radavoi; Alan Berman – Knowledge Management & E-Learning, 2025
The development and introduction of AI language models have transformed the way humans and institutions interact with technology, enabling natural and intuitive communication between humans and machines. This paper conducts a competence-based analysis of ChatGPT's task responses to provide insights into its language proficiency, critical analysis…
Descriptors: Higher Education, Evaluation Methods, Artificial Intelligence, Computer Software
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Koç, Özge; Altun, Emin; Yüksel, H. Gülru – Education and Information Technologies, 2022
Writing is a demanding task for learners in English as a foreign language (EFL) contexts. Students are not given sufficient practice opportunities in the classroom. Hence, they do not feel motivated to write or enjoy writing in English much, and they encounter difficulties in planning, organizing ideas, stating a clear purpose and choosing…
Descriptors: Expository Writing, Computer Simulation, Technology Integration, High School Students
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Julio Antonio Álvarez Martínez; Juan Fernando Gómez; Walter Darién Gómez Torres; Juan Carlos Restrepo Botero – Journal of Educators Online, 2025
This systematic review synthesizes evidence on the impact of integrating Information and Communication Technology (ICT) and the flipped classroom model (FCM) on student motivation, engagement, and English language proficiency. Relevant studies from 2015 to 2023 were identified through electronic databases. Eligible studies examined the integration…
Descriptors: Student Motivation, Information Technology, Technology Uses in Education, Flipped Classroom
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Chenghao Wang; Xueyun Li; Bin Zou – European Journal of Education, 2025
Research on the factors influencing the acceptance of GenAI in language learning has expanded widely; however, few studies have focused on the role of language learning emotions. To enhance the effectiveness of GenAI-powered English-speaking instruction and the learning experience, this study expands on the Integrated Model of Technology…
Descriptors: Technology Uses in Education, Technology Integration, Artificial Intelligence, Second Language Learning
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Md. Abdus Shabur; Jafrin Jahan; Protik Barua – Discover Education, 2025
As the global educational landscape undergoes rapid transformation, "Education 4.0" emerges as a cutting-edge paradigm that harnesses advanced technologies to revolutionize the learning process. This study investigates the impact of Education 4.0 on improving English proficiency among engineering students in Dhaka, Bangladesh. Using a…
Descriptors: Foreign Countries, Language Proficiency, Second Language Learning, English (Second Language)
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Sri Wuli Fitriati; Aldha Williyan – Journal of Pedagogical Research, 2025
This research investigates the use of artificial intelligence (AI) tools by Indonesian EFL learners to enhance their presentation skills through self-regulated learning. With the rapid advancement of AI technologies, their integration into educational practices has become increasingly significant, particularly in developing essential skills like…
Descriptors: English (Second Language), Second Language Learning, Second Language Instruction, Speech Communication
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Hui-Chin Yeh – Educational Technology & Society, 2024
This paper presents the integration of generative artificial intelligence (GAI) and other AI tools in English as a Foreign Language (EFL) education, addressing the limitations of traditional pedagogical approaches. Conventional EFL methods, often reliant on rote learning for standardized tests, struggle to impart practical language skills relevant…
Descriptors: Technology Integration, Artificial Intelligence, Technology Uses in Education, English (Second Language)
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Satoru Uchida – Vocabulary Learning and Instruction, 2025
Since its emergence, generative AI has significantly impacted various fields, including English language education. Numerous academic studies have investigated its capabilities in grammar correction, writing evaluation, and dynamics of user interaction. However, there have been insufficient investigations into whether texts generated by such AI…
Descriptors: Vocabulary Development, Language Proficiency, Rating Scales, Guidelines
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Qing Zhou; Harwati Hashim; Nur Ainil Sulaiman – Education and Information Technologies, 2025
Amid globalization, the demand for English oral proficiency continues to grow. This study employs a quasi-experimental design to investigate the integration of an AI chatbot into the mobile-assisted blended learning (MABL) framework. It examines the impact of this approach on the spoken English abilities of Chinese non-English major university…
Descriptors: Foreign Countries, College Students, Second Language Learning, English (Second Language)
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Hanieh Shafiee Rad – Innovation in Language Learning and Teaching, 2024
The emergence of artificial intelligence (AI) and AI-based applications has become increasingly significant due to its transformative potential in various fields including language learning. These applications have the potential to enhance second language (L2) learners' speaking proficiency, willingness to communicate (WTC), and perception,…
Descriptors: English (Second Language), Second Language Learning, College Students, Required Courses
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Muhammad Ibnu Mustofa; Ika Lestari Damayanti – Indonesian Journal of English Language Teaching and Applied Linguistics, 2024
Research on the roles of textbooks in EFL teaching contexts has been widely reported. However, studies on textbook adaptation strategies in a technology-integrated classroom have not received much attention. To fill the gap, the current research sought to explore the types of textbook adaptation strategies employed by an Indonesian EFL teacher in…
Descriptors: English (Second Language), Second Language Learning, Second Language Instruction, Language Teachers
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Tharathikoon Raha; Montree Wongsapan – Journal of Education and Learning, 2024
This study introduces a novel learning management model aimed at enhancing Thai language proficiency in sixth-grade students. Confronting challenges such as inadequate teaching resources and a lack of student-centric, practical activities in current Thai language education, this model integrates six key components: foundational principles and…
Descriptors: Teaching Methods, Grade 6, Independent Study, Research and Development
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Montri Tangpijaikul – LEARN Journal: Language Education and Acquisition Research Network, 2025
Despite the significant impact of the lexical approach for vocabulary learning, its classroom implementation has not been uniform. While related activities share the common Observe-Hypothesize-Experiment (OHE) elements, practitioners and researchers do not highlight how language input from the observing stage is turned into output and at what…
Descriptors: Artificial Intelligence, Computer Software, Technology Integration, Teaching Methods
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Hoa T. Vinh Le; Nicole Ziegler – Language Learning & Technology, 2025
Numerous empirical studies and syntheses have explored technology-mediated task-based language teaching (TMTBLT) (for example, Chong & Reinders, 2020; Kim & Namkung, 2024; Lai & Li, 2011; Ziegler, 2016), with findings highlighting the affordances of technology for interaction and its associated benefits. However, few studies have…
Descriptors: Blended Learning, Teaching Methods, Task Analysis, Second Language Learning
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Rustam Shadiev; Yingying Feng; Roza Zhussupova; Yueh-Min Huang – Journal of Computer Assisted Learning, 2024
Background: Tele-collaborative projects serve as invaluable platforms for students from diverse countries to engage in cross-cultural communication and exchange cultural knowledge. These projects offer immense benefits in terms of fostering intercultural competence among participants. However, one challenge arises when participants engage in…
Descriptors: Telecommunications, Feedback (Response), Assistive Technology, Verbal Communication
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