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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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Mengkorn Pum; Sarin Sok – Asian Journal of Distance Education, 2024
With current state-of-the-art advances in artificial intelligence (AI), especially large language models, such as Google's Gemini, Microsoft's Copilot, and ChatGPT, among others, a plethora of research on this phenomenon has been conducted worldwide aiming to examine its limitations, benefits and ethical implications. Nonetheless, such a…
Descriptors: Foreign Countries, Artificial Intelligence, Technology Uses in Education, Computer Software
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Ilaria Compagnoni; Fabiana Fazzi – AILA Review, 2024
Digital mediation strategies are key soft skills to develop amongst students as they prepare to interact in increasingly collaborative settings, socially and professionally. Defined as a set of communication strategies deployed to reach mutual agreement over a dispute, mediation enables students' cooperation in task-based language teaching…
Descriptors: Foreign Countries, Secondary School Students, English (Second Language), Second Language Learning
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Vildan Yalçin; Hasan Gökçe; Oguzhan Nacaroglu – Research in Pedagogy, 2024
This study aims to examine science teachers' views and concerns about artificial intelligence (AI). Phenomenology design, one of the qualitative research method designs, was used in the study. The study group consisted of five science teachers, one doctoral and four master's degree graduates. Semi-structured interview was preferred as a data…
Descriptors: Science Teachers, Teacher Attitudes, Anxiety, Artificial Intelligence
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Melissa Warr; Marie K. Heath – Journal of Teacher Education, 2025
In this article, we explore the concept of a "hidden curriculum" within generative AI, specifically Large Language Models (LLMs), and its intersection with the hidden curriculum in education. We highlight how AI, trained on biased human data, can perpetuate societal inequities and discriminatory practices despite appearing objective. We…
Descriptors: Hidden Curriculum, Artificial Intelligence, Computer Software, Technology Integration
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Victoria Borish; H. J. Lewandowski – Physical Review Physics Education Research, 2025
As quantum technologies transition from the research laboratory into commercial development, the opportunities for students to begin their careers in this new quantum industry are increasing. With these new career pathways, more and more people are considering the best ways to educate students about quantum concepts and relevant skills. In…
Descriptors: Physics, Science Instruction, Quantum Mechanics, Computer Software
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Katia Ciampa; Zora Wolfe; Meagan Hensley – Technology, Pedagogy and Education, 2025
This study explores the role of artificial intelligence (AI) in K-12 student assessment practices, focusing on educators' use of AI tools. Through content analysis of active Facebook groups dedicated to AI in education, the authors examined how educators integrate AI into assessment across various grade levels and subjects. Using the Technology…
Descriptors: Artificial Intelligence, Computer Software, Technology Integration, Kindergarten
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Fang Huang; Dingyang Peng; Timothy Teo – European Journal of Education, 2025
Contextualised in the AI--supported English-speaking learning, this study examined the roles of AI affordances in influencing EFL learners' emotional, cognitive, and behavioural speaking engagement, and explored the moderating roles of gender and learner types (on-campus vs. on-job) in influencing AI-supported English-speaking engagement. Data…
Descriptors: Learner Engagement, Second Language Learning, Second Language Instruction, English (Second Language)
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Nagaletchimee Annamalai; Najah Rajeh Alsalhi; Mohd Elmagzoub Eltahir; Bilal Mohammed Zakarneh; Kamariah Yunus; Samer H. Zyoud – SAGE Open, 2025
This qualitative case study aimed to examine pre-service teachers' and teacher educators' interactions during their English grammar lessons via the WhatsApp platform. The Community of Inquiry (CoI) model was employed to categorize the WhatsApp interactions based on social, cognitive and teacher presences. Participants wrote their reflections for…
Descriptors: Computer Software, English (Second Language), Second Language Instruction, Second Language Learning
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Atika Puspasari; Noni Agustina – Journal of English Teaching, 2025
Integrating artificial intelligence (AI) in English for Nursing instruction has become increasingly important as healthcare becomes more technologically driven and globally connected. This systematic review analyzes 28 studies published from 2022 to 2024 to examine the current state of AI implementation in nursing ESP education. The findings…
Descriptors: Artificial Intelligence, Nursing Education, Research Reports, Computer Software
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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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Bowers, Jonathan; Eidin, Emanuel; Stephens, Lynn; Brennan, Linsey – Journal of Science Education and Technology, 2023
Interpreting and creating computational systems models is an important goal of science education. One aspect of computational systems modeling that is supported by modeling, systems thinking, and computational thinking literature is "testing, evaluating, and debugging models." Through testing and debugging, students can identify aspects…
Descriptors: Computer Science Education, Systems Approach, Thinking Skills, Science Education
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Moorhouse, Benjamin Luke; Kohnke, Lucas; Wan, Yuwei – RELC Journal: A Journal of Language Teaching and Research, 2023
Technology reviews are a specific article genre published in several language teaching and learning journals. Their emergence is likely due to the proliferation of technology that facilitates and supports language acquisition. These reviews aim to increase teachers' and learners' awareness of the forms of technology available and succinctly…
Descriptors: Periodicals, Second Language Learning, Second Language Instruction, Teaching Methods
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Dayal, Vikram – International Journal of Mathematical Education in Science and Technology, 2023
Epidemiological models have enhanced relevance because of the COVID-19 pandemic. In this note, we emphasize visual tools that can be part of a learning module geared to teaching the SIR epidemiological model, suitable for advanced undergraduates or beginning graduate students in disciplines where the level of prior mathematical knowledge of…
Descriptors: Biology, Visual Aids, Epidemiology, Science Instruction
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Zengin, Yilmaz – International Journal for Technology in Mathematics Education, 2023
This study explores university students' understanding of the relationships between formal definitions of the limit of a function and the limit of a sequence in terms of the accumulation point in a technology-enhanced collaborative learning environment. The participants of this study are 17 prospective mathematics teachers. The data are collected…
Descriptors: Computer Software, Mathematics Instruction, Undergraduate Students, Concept Formation
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