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Showing 1 to 15 of 56 results Save | Export
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Abdulmohsin A. Alshehri – Australian Journal of Applied Linguistics, 2025
This study aimed to investigate the extent to which computer-assisted pronunciation (CAP) is influential in helping Hijazi students to develop their pronunciation of English vowels within a Saudi English as a foreign language (EFL) context. It also examined whether Saudi Hijazi learners taught English vowel sounds by CAP outperform those taught…
Descriptors: Pronunciation, Computer Uses in Education, English (Second Language), Second Language Instruction
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Ali Alsaawi; Mohammad Almoaily; Fahad Almulhim; Nesreen Alahmadi; Hamza Alshenqeeti – International Journal of Computer-Assisted Language Learning and Teaching, 2025
Artificial intelligence (AI) is one of the fastest growing technologies today. Its extraordinary scope and capabilities have led people of all ages and abilities to employ it in many of their activities. Language learning is a lifetime experience that could benefit from the use of AI and thus it is worth exploring people's awareness of this…
Descriptors: Artificial Intelligence, Computer Assisted Instruction, Second Language Learning, Second Language Instruction
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Asma Almusharraf; Daniel Bailey – Computer Assisted Language Learning, 2025
Machine translation (MT) practice and activity development in education are possible when students with diverse backgrounds contribute to helping define how MT can best be used for language learning. This study employed a questionnaire based on an adapted version of the technology acceptance model (TAM) to gain perspective on the perceptions,…
Descriptors: Web Sites, Student Attitudes, Language Proficiency, Second Language Learning
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Samah Y. Baagbah; Malini Ganapathy – Language Teaching Research Quarterly, 2025
The study aims to examine how PRAAT visual feedback can improve pronouncing English lexical stress and support self-directed learning based on the conceptual framework of self-determination theory. The study involved a total of 80 EFL learners aged 18 to 22 years from Saudi Arabia and Yemen, with varying levels of English proficiency. Pre- and…
Descriptors: Computer Software, Technology Uses in Education, English (Second Language), Second Language Instruction
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Assim S. Alrajhi – Cogent Education, 2024
This paper reports on a mixed-methods study delving into EFL students' experiences and perspectives on a text-based pedagogical chatbot. Utilizing chatbot-mediated interaction, a questionnaire survey, and focus group discussions, the study centers around the cognitive and affective domains of learning in relation to the chatbot's affordances and…
Descriptors: Artificial Intelligence, Computer Software, Second Language Learning, Second Language Instruction
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Iman El-Nabawi Abdel Wahed Shaalan; Ayman Shaaban Khalifa Ahmad – International Journal of Computer-Assisted Language Learning and Teaching, 2024
This study aimed at probing Egyptian and Saudi English as a Foreign Language (EFL) majors' perceptions of the impact of AI technology on enhancing linguistic competence and predicting the level of linguistic competence development due to the utilisation of AI. The descriptive survey method was used to accomplish the purpose of the study. A 27-item…
Descriptors: Prediction, English (Second Language), Second Language Instruction, Second Language Learning
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Hassan Saleh Mahdi; Ahmed Alkhateeb – International Journal of Computer-Assisted Language Learning and Teaching, 2025
This study aims to develop a robust rubric for evaluating artificial intelligence (AI)--assisted essay writing in English as a Foreign Language (EFL) contexts. Employing a modified Delphi technique, we conducted a comprehensive literature review and administered Likert scale questionnaires. This process yielded nine key evaluation criteria,…
Descriptors: Scoring Rubrics, Essays, Writing Evaluation, Artificial Intelligence
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Mohamad Ahmad Saleem Khasawneh; Sayed M. Ismail; Negash Hussen – Language Testing in Asia, 2024
Artificial intelligence (AI) transforms the educational landscape by radically changing how lessons are taught and students are evaluated. In light of these facts, it is critical to consider learners' emotional and mental wellness as the building blocks of education. Given these facts, it is imperative to consider learners' emotional and mental…
Descriptors: Artificial Intelligence, Computer Software, Personal Autonomy, Mental Health
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Abdullah Al Fraidan – International Journal of Distance Education Technologies, 2025
This study explores vocabulary assessment practices in Saudi Arabia's hybrid EFL ecosystem, leveraging platforms like Blackboard and Google Forms. The focus is on identifying prevalent test formats and evaluating their alignment with modern pedagogical goals. To classify vocabulary assessment formats in hybridized EFL contexts and recommend the…
Descriptors: Vocabulary Development, English (Second Language), Second Language Learning, Second Language Instruction
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Mohammed Ali Mohsen – Language Teaching Research, 2024
Writing in a language different from one's mother tongue is a daunting task. The same challenge may apply to languages that have diglossic features whose spoken form differs from the written form. This article investigates Arab students' writing behaviors (fluency, pauses, and revision) in response to an argumentative composition in their L1…
Descriptors: Writing Processes, Native Language, Arabic, Language Fluency
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Eman Abdel-Reheem Amin – Online Submission, 2024
In the pursuit of the 2030 Sustainable Development Goals (SDGs), universities play a pivotal role in driving transformative change. This paper focuses on innovative approaches centered around the role of the English language and the integration of artificial intelligence (AI) in English language education. The goal is to empower and prepare…
Descriptors: Artificial Intelligence, Sustainable Development, Objectives, Universities
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Abu-Ayfah, Zahra A. – English Language Teaching, 2020
The rapid growth of mobile device technology and the emergence of new mobile device applications such as Telegram have created new opportunities for EFL students. Accordingly, the current study investigated the EFL College students' perceptions of using Telegram for English language learning. The participants of the present study were 300 EFL…
Descriptors: Telecommunications, Handheld Devices, College Students, Student Attitudes
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Burhan Ozfidan; Dina Abdel Salam El-Dakhs; Lama Adel Alsalim – Contemporary Educational Technology, 2024
This study explores Saudi undergraduate students' perceptions of artificial intelligence (AI) tools in academic writing. Despite extensive research on AI in higher education, there is limited focus on academic writing, especially in the Saudi context. A survey of 189 students, proficient in English and enrolled in freshmen academic writing…
Descriptors: Foreign Countries, Artificial Intelligence, Technology Uses in Education, Grammar
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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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Arifi Waked; Muhammad W. Ashraf; Hanadi AbdelSalam; Khadija El Alaoui; Maura Pilotti – International Society for Technology, Education, and Science, 2024
Questions exist as to whether AI tools, such as ChatGPT, can aid learning. This study examined whether in-class exercises involving error detection in text generated by ChatGPT can aid students' foreign language writing. Participants were Arabic-English speakers who were classified as ranging from modest to competent English users according to…
Descriptors: Artificial Intelligence, Computer Software, Second Language Learning, Second Language Instruction
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