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Nicole Mills; Hannah Hok; Arnaud Dressen; Quentin Veillas – Foreign Language Annals, 2025
The Modern Language Association (MLA) published a writing and artificial intelligence (AI) working paper that provided an overview of key issues, concerns, and recommendations to help language educators make principle-driven pedagogical decisions to support critical AI literacy. To address the MLA's recommendations, a collaborative AI writing…
Descriptors: Teaching Methods, Second Language Learning, Second Language Instruction, Artificial Intelligence
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Xiaoran Xu; Lei Mee Thien – Journal of Applied Research in Higher Education, 2025
Purpose: This study intends to extend the unified theory of acceptance and use of technology (UTAUT) model by integrating perceived enjoyment as an intrinsic motivation so as to investigate factors influencing Chinese undergraduate English as a Foreign Language (EFL) students' intention to use ChatGPT for English learning.…
Descriptors: Undergraduate Students, English (Second Language), Second Language Learning, Computer Software
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Yonit Nissim; Eitan Simon – Journal of Education for Teaching: International Research and Pedagogy, 2025
This preliminary quantitative research investigates preservice teachers' (PSTs) perceptions of adopting ChatGPT, an artificial intelligence (AI) tool, focusing on the early stage of the diffusion of innovation (DOI) process. The study aims to understand PSTs' innovation consciousness and how it influences their perceptions of integrating ChatGPT…
Descriptors: Models, Technology Integration, Artificial Intelligence, Constructivism (Learning)
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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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Yunus Kökver; Hüseyin Miraç Pektas; Harun Çelik – Education and Information Technologies, 2025
This study aims to determine the misconceptions of teacher candidates about the greenhouse effect concept by using Artificial Intelligence (AI) algorithm instead of human experts. The Knowledge Discovery from Data (KDD) process model was preferred in the study where the Analyse, Design, Develop, Implement, Evaluate (ADDIE) instructional design…
Descriptors: Artificial Intelligence, Misconceptions, Preservice Teachers, Natural Language Processing
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Yunus Dogan; Tarik Talan – Journal of Pedagogical Research, 2025
Artificial intelligence (AI) has significant potential in foreign language learning and teaching, and various scientific studies that monitor, investigate, and examine developments in this field have been conducted for many years. In fact, with the increasing importance and popularity of AI, there has been an observed growth in the number of…
Descriptors: Artificial Intelligence, Bibliometrics, Computer Software, Technology Integration
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Long Quoc Nguyen; Ha Van Le; Phuc Thinh Nguyen – Education and Information Technologies, 2025
Research on the use of ChatGPT in education has proliferated in the past years. However, there is limited understanding of how English as a Foreign Language (EFL) learners engage emotionally with and utilize ChatGPT during the pre-writing stage. Furthermore, how learners' affective engagement (emotional responses) with this tool in the planning…
Descriptors: English (Second Language), Second Language Learning, Second Language Instruction, Artificial Intelligence
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Xiaofei Li; Yu-Ju Lan; Zhongling Pi; Grace Yue Qi; Scott Grant; Jinmei Sun – British Journal of Educational Technology, 2025
English academic presentation (EAP) is an indispensable skill set of academic communication for university students. With the rapid development of desktop virtual reality (DVR), its application in language learning is worth exploring. The present study aimed to examine whether there is an improvement and difference in students' EAP by learning…
Descriptors: Video Technology, Behavior Patterns, English for Academic Purposes, Second Language Learning
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Dana Di Pardo Léon-Henri; Julien Henriet; Marie-Laure Betbeder; Françoise Greffier; Floran Carvalho – Teaching English with Technology, 2025
This research delves into the transformative potential of humanoid robotics and artificial intelligence (AI) in the field of Teaching English to Speakers of Other Languages (TESOL), spotlighting their innovative contributions to modern language instruction. With a focus on robot-assisted language learning (RALL) and AI-powered tools, particularly…
Descriptors: Artificial Intelligence, Robotics, Computer Software, Technology Integration
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Junfeng Zhao; Xiang Li; Hong Liao – Education and Information Technologies, 2025
In an increasingly globalized world, translation technologies are critical in facilitating language comprehension and translation performance, especially among college EFL students. Despite their potential, the factors impacting their actual use in tertiary education remain underexplored. This study employs the UTAUT2 model to identify…
Descriptors: College Students, English (Second Language), Second Language Learning, Second Language Instruction
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Uma Pradhan; Joyeeta Dey – Learning, Media and Technology, 2025
This paper examines how language-based artificial intelligence is envisaged to imagine new futures for indigenous languages. It draws on the visions, programmes, and plans of six language initiatives that are developing language technology for often-marginalised indigenous, tribal, and minority (ITM) languages, such as Gondi, Maithili, Rajasthani…
Descriptors: Artificial Intelligence, Computer Software, Indigenous Populations, Language Minorities
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Yaniv Biton; Ruti Segal; Karin Alush – International Journal of Education in Mathematics, Science and Technology, 2025
This study examines the contribution that generative AI (ChatGPT) can make to the TPACK (Technological Pedagogical Content Knowledge) of mathematics teacher educators (MTEs) when addressing pedagogical and mathematical events. The study involved 15 experienced MTEs who were tasked with planning training sessions for elementary school teachers. The…
Descriptors: Artificial Intelligence, Computer Software, Technological Literacy, Pedagogical Content Knowledge
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Dwi Fitria Al Husaeni; Isma Widiaty; Budi Mulyanti; Ade Gafar Abdullah; Lala Septem Riza; Amay Suherman; Dwi Novia Al Husaeni – Informatics in Education, 2025
This study aims to provide a descriptive and bibliometric analysis of the trend of artificial intelligence (AI) application in the development of computational thinking (CT) skills in publications from 2007 to 2024. A total of 191 articles were obtained from Scopus database with certain keywords, and analyzed using Biblioshiny and VOSviewer. The…
Descriptors: Artificial Intelligence, Trend Analysis, Bibliometrics, Thinking Skills
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Gina L. Solano; Jennifer Miller – Journal of Educational Research and Practice, 2025
Due to the isolation of asynchronous learning, online university students face challenges that can impact performance, increase anxiety, and lead to dropout. This study explores the use of communication apps, such as WhatsApp, Nectir, and GroupMe, to enhance engagement, peer socialization, and learning in graduate-level online courses across New…
Descriptors: Asynchronous Communication, Online Courses, Technology Uses in Education, Interpersonal Communication
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Molnar, Kathleen K. – Education and Information Technologies, 2017
There is a lack of consensus of the effects on student perceptions and performance in flipping the classroom and its possible value over the traditional face-to-face (FTF) classroom approach. This research examines the expectation that flipping an undergraduate, introductory level, information concepts and skills class would benefit student…
Descriptors: Student Attitudes, Educational Technology, Technology Uses in Education, Undergraduate Study
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