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Mohammad Jamshed; Iftikhar Alam; Sultan Al Sultan; Sameena Banu – Journal of Education and e-Learning Research, 2024
The study investigates EFL (English as a Foreign Language) learners' opinions, attitudes and the challenges of incorporating AI-powered teaching and learning. It also examines how their ideas and attitudes are affected by demographic variables. 258 students were selected using a random sampling method from a population comprising students studying…
Descriptors: Foreign Countries, English (Second Language), Second Language Instruction, Student Attitudes
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Sultan Hammad Alshammari; Mohammed Habib Alshammari – International Journal of Information and Communication Technology Education, 2024
The current study aims at assessing the factors which could affect students' use of ChatGPT. The study proposed a theoretical model that included five factors. Data were collected from 136 students using a questionnaire. The data were analyzed using two steps: CFA for measuring the model and SEM for analyzing the relationships and testing…
Descriptors: Influences, Technology Uses in Education, Artificial Intelligence, Natural Language Processing
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Aminah Saad Aldossary; Alia Abdullah Aljindi; Jamilah Mohammed Alamri – Contemporary Educational Technology, 2024
Purpose: This study aims to provide an analysis of students' perceptions of the role of generative artificial intelligence (GenAI) tools in education, through five axes: (1) level of knowledge and awareness, (2) level of acceptance and readiness, (3) the role of GenAI in education, (4) level of awareness of potential concerns and challenges, and…
Descriptors: Foreign Countries, Student Attitudes, Artificial Intelligence, Knowledge Level
Eman Abdel-Reheem Amin – Online Submission, 2024
The present study examined students' perception of using Artificial intelligence-powered text-to-speech apps (AI TTS Apps) to learn aspects of English language pronunciation. This investigation was conducted considering the extended Unified Theory of Acceptance and Use of Technology (UTAUT2). To ensure participants had prior experience using AI…
Descriptors: English Language Learners, English (Second Language), Artificial Intelligence, Assistive Technology
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Saleh Mosleh Alharthi – Cogent Education, 2024
Language is a powerful tool that facilitates communication, knowledge acquisition, and negotiation of meaning, but it is a complex skill for English as foreign language (EFL) learners who often encounter various challenges and complexities. Among the critical language skills, pronunciation holds a significant place. As much as it is challenging,…
Descriptors: Artificial Intelligence, Pronunciation, Coaching (Performance), English (Second Language)
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Imdadullah Hidayat-ur-Rehman – Journal of Research in Innovative Teaching & Learning, 2024
Purpose: Digital technology's integration into education has transformed learning frameworks, necessitating the exploration of factors influencing students' engagement in digital informal settings. This study, grounded in self-determination theory (SDT), proposes a model comprising artificial intelligence (AI) competence, chatbot usage, perceived…
Descriptors: Artificial Intelligence, Personal Autonomy, Learner Engagement, Informal Education
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Abdulrahman M. Al-Zahrani – Innovations in Education and Teaching International, 2024
This study explores the impact of Generative AI tools on researchers and research in the context of higher education in Saudi Arabia. An online survey questionnaire was used to collect data on higher education students' perspectives (N = 505). The findings indicate that participants hold positive attitudes and possess a high level of awareness…
Descriptors: Artificial Intelligence, Technology Uses in Education, Foreign Countries, College Students
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Xiaojing Weng; Qi Xia; Mingyue Gu; Kumaran Rajaram; Thomas K. F. Chiu – Australasian Journal of Educational Technology, 2024
Generative artificial intelligence (GenAI) impacts higher education assessment and learning outcomes, which are closely related and intertwined. Literature suggests that educators and researchers have many varied concerns regarding student assessment in the higher education GenAI context, such as how to assess students' learning and the new…
Descriptors: Evaluation Methods, Outcomes of Education, Artificial Intelligence, Natural Language Processing
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Taj Mohammad; Ali A. F. Alzubi; Mohd Nazim; Soada I. Khan – Journal of Pedagogical Research, 2023
EFL students' attitudes are crucial for the development of writing abilities, which in the age of cutting-edge technology depend extensively on artificial intelligence-mediated tools, and paraphrasing draws no exception. Therefore, this study aims to identify English as a foreign language student's enthusiasm and insights about utilizing QuillBot…
Descriptors: Second Language Learning, English (Second Language), College Students, Foreign Countries
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Wael Alharbi – International Journal of Computer-Assisted Language Learning and Teaching, 2024
This mixed-methods study investigates the mismatch between student use of AI for academic tasks and teacher awareness in Saudi Arabian higher education. Surveys of 78 teachers and 243 students in English for Specific Purposes courses at public and private universities included Likert-scale items and an open-ended question on AI tools' benefits,…
Descriptors: Higher Education, Artificial Intelligence, Computer Software, Best Practices
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Al-Ahdal, Arif Ahmed Mohammed Hassan; Alqasham, Fahd Hamad – TESOL International Journal, 2020
Research strategies over the last decade have predominantly focused on situated English learning in a conventional classroom setting. The students' use of strategy to enhance writing skills in online learning has received little attention. This study explores how the Situated Learning (SL) approach affects EFL Saudi student writing tasks in which…
Descriptors: Second Language Learning, Second Language Instruction, English (Second Language), Writing Instruction