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Douglas E. Bell – Multilingual Matters, 2024
Since its inception in the 1960s, the field of English for Academic Purposes (EAP) has enjoyed a period of almost continual expansion and growth and now represents a multi-million dollar industry worldwide. This book provides readers with a critical and comprehensive overview of EAP's birth, its historical development and its ongoing trajectory,…
Descriptors: English for Academic Purposes, Second Language Learning, Second Language Instruction, Privatization
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Glenn M. Kleiman; H. Alix Gallagher – State Education Standard, 2024
There are abundant optimistic and pessimistic views about the potential educational impacts of artificial intelligence (AI) tools. The optimists envision that AI will enable teachers to do more of what only teachers can do for their students: build caring and trusting relationships; understand students' needs, backgrounds, and cultures; guide and…
Descriptors: Educational Policy, Artificial Intelligence, State Policy, Computer Software
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Azzeddine Boudouaia; Samia Mouas; Bochra Kouider – Journal of Educational Computing Research, 2024
The field of computer-assisted language learning has recently brought about a notable change in English as a Foreign Language (EFL) writing. Starting from October 2022, students across different academic fields have increasingly depended on ChatGPT-4 as a helpful resource for addressing particular challenges in EFL writing. This study aimed to…
Descriptors: English (Second Language), Second Language Learning, Second Language Instruction, Teaching Methods
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Barno Sayfutdinovna Abdullaeva; Diyorjon Abdullaev; Feruza Abulkosimovna Rakhmatova; Laylo Djuraeva; Nigora Asqaraliyevna Sulaymonova; Zebo Fazliddinovna Shamsiddinova; Oynisa Khamraeva – Language Testing in Asia, 2024
Acquiring technological literacy and acceptance has a significant influence on academic emotion regulation (AER), academic resilience (AR), willingness to communicate (WTC), and academic enjoyment (AE), which are crucial for the success of university students. However, this area has not been adequately explored in research, particularly in the…
Descriptors: Technological Literacy, Emotional Response, Self Control, Resilience (Psychology)
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Ali B. Mahmoud – British Educational Research Journal, 2024
The metaverse is rapidly reshaping our understanding of education, yet identifying the public's beliefs, emotions and sentiments towards its adoption in education remains largely uncharted empirically. Grounded in the Technology Acceptance Model (TAM) and Digital Diffusion Theory (DOI), this paper aims to fill this gap using a big-data approach…
Descriptors: Public Opinion, Psychological Patterns, Computer Simulation, Technology Uses in Education
Genevieve D. Hellman-Hoppe – ProQuest LLC, 2024
The purpose of this Dissertation in Practice was to explore the relationship between cultural intelligence and burnout in teachers. This purpose was rooted in a growing trend of teachers reporting a significant degree of burnout and education frequently being noted as one of the most stressful professions in the job market (Johnson et al., 2005;…
Descriptors: Correlation, Teacher Burnout, Stress Variables, Work Environment
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Sasha M. Zeedyk; Shana R. Cohen; Jan Blacher; Abbey Eisenhower – International Journal of Inclusive Education, 2024
Limited research has explored mothers' perceptions of teachers' pedagogical practices that may or may not support the learning and development of their child with autism spectrum disorder (ASD). Mothers of children with ASD were asked to describe their perspective regarding three questions: (1) How do teachers structure the classroom environment…
Descriptors: Autism Spectrum Disorders, Mothers, Mother Attitudes, Classroom Environment
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Qi Lu; Yuan Yao; Longhai Xiao; Mingzhu Yuan; Jue Wang; Xinhua Zhu – Assessment & Evaluation in Higher Education, 2024
The integration of ChatGPT as a supplementary tool for writing instruction has gained traction. However, uncertainties persist regarding how ChatGPT complements teacher assessment and the overall effectiveness of this combined approach. To address this, we conducted a mixed-methods investigation involving 46 undergraduate students from a research…
Descriptors: Artificial Intelligence, Educational Technology, Natural Language Processing, Student Evaluation
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Jingjing Zhu; Xi Zhang; Jian Li – Computer Assisted Language Learning, 2024
Traditional L2 pronunciation teaching puts too much emphasis on explicit phonological knowledge ('knowing that') rather than on procedural knowledge ('knowing how'). The advancement of mobile-assisted language learning (MALL) offers new opportunities for L2 learners to proceduralize their declarative articulatory knowledge into production skills…
Descriptors: Artificial Intelligence, Technology Uses in Education, Pronunciation Instruction, Second Language Instruction
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Watcharapol Wiboolyasarin; Kanokpan Wiboolyasarin; Phornrat Tiranant; Poomipat Boonyakitanont; Nattawut Jinowat – Smart Learning Environments, 2024
Amidst the technological evolution shaping the landscape of education, this research critically examines the imperative factors influencing the design of language-teaching chatbots in Thai language classrooms. Employing a comprehensive two-pronged methodology, our study delves into the intricacies of chatbot design by engaging with a diverse…
Descriptors: Artificial Intelligence, Teaching Methods, Computer Software, Independent Study
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Didem Leblebici – Multilingua: Journal of Cross-Cultural and Interlanguage Communication, 2024
This paper investigates the role of English in voice assistant (Siri, Alexa, Google Assistant) use from the perspective of language ideology. Major commercial companies in the voice assistant market use English as a training language for their speech technologies and offer the most optimised support for standardised varieties of English. This…
Descriptors: Assistive Technology, Audio Equipment, English for Science and Technology, Language Minorities
Steven R. Mason – ProQuest LLC, 2024
Artificial intelligence (AI) has become more prevalent in education in recent years. Specifically, the perception of generative AI chatbots that generate essays based on the input of student prompts has invoked mixed reviews among educators. The negative learning implications of generative AI chatbots include plagiarism, academic dishonesty, and…
Descriptors: Artificial Intelligence, Computer Software, Secondary School Teachers, Teacher Attitudes
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Dave Kim; Aref Majdara; Wendy Olson – International Journal of Technology in Education, 2024
This exploratory study focuses on the use of ChatGPT, a generative artificial intelligence (GAI) tool, by undergraduate engineering students in lab report writing in the major. Literature addressing the impact of ChatGPT and AI on student writing suggests that such technologies can both support and limit students' composing and learning processes.…
Descriptors: Artificial Intelligence, Natural Language Processing, Technology Uses in Education, Science Laboratories
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Abby Mcguire; Warda Qureshi; Mariam Saad – International Journal of Technology in Education, 2024
Building on previous research that has demonstrated close connections between constructivism, technology, and artificial intelligence, this article investigates the constructivist underpinnings of strategically integrating GenAI experiences in higher educational contexts to catalyze student learning. This study presents a new model for leveraging…
Descriptors: Constructivism (Learning), Models, Artificial Intelligence, Individualized Instruction
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Lyn Lim; Maria Bannert; Joep van der Graaf; Yizhou Fan; Mladen Rakovic; Shaveen Singh; Inge Molenaar; Dragan Gaševic – British Journal of Educational Technology, 2024
Scaffolds that support self-regulated learning (SRL) have been found to improve learning outcomes. The effects of scaffolds can differ depending on how learners use them and how specific scaffolds might influence learning processes differently. Personalized scaffolds have been proposed to be more beneficial for learning due to their adaptivity to…
Descriptors: Learning Processes, Scaffolding (Teaching Technique), Comparative Analysis, Undergraduate Students
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