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Assessing the Efficacy of Artificial Intelligence-Enabled EFL Learning and Teaching in Saudi Arabia

Perceptions, Perspectives, and Prospects

Bibliographic Data

ID21805177
AuthorsMohammad Jamshed (0000-0003-3778-7225, Prince Sattam Bin Abdulaziz University), Abduh Almashy (0000-0001-6191-3696, Umm al-Qura University), Fatimah Albedah (Saudi Electronic University), Wahaj Unnisa Warda (0000-0003-0550-2088, Prince Sattam Bin Abdulaziz University)
Year2024
Volume15
Issue6
Pages1931-1940
Publication date2024-11-01
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueJournal of Language Teaching and Research (JOURNAL)
Journal identifiersISSN: 1798-4769 • E-ISSN: 2053-0684
PublisherAcademy Publication (PUBLISHER • GB)
DOI10.17507/jltr.1506.18
OpenAlexW4403987685
LanguageEN
Citations received2

This study attempts to investigate Saudi EFL learners’ perceptions, perspectives, and the prospects for AI-enabled learning and teaching in higher education in Saudi Arabia. As the study deals with how certain independent variables (levels of study, gender, and employment profile of learners’ parents) shape the dependent variables (perceptions, perspectives, and prospects), a quantitative approach (descriptive quantitative design) was selected, and a questionnaire was prepared with partial adoption of modified items from existing studies. A simple random sampling method was used to collect responses from 258 Saudi EFL learners studying at different levels of the undergraduate programs at the College of Business Administration and College of Science and Humanities, Prince Sattam bin Abdulaziz University, KSA. The findings revealed that Saudi EFL learners were highly positive in their perceptions and perspectives toward AI-enabled learning, and they strongly favored the adoption of AI-powered tools for learning and teaching a language. It was also revealed that the Saudi higher education system offered great prospects for the integration of AI-powered technology into EFL classrooms. One-way ANOVA analysis revealed that there is no statistically significant difference among the study participants based on gender and parents’ employment profile. However, a certain difference of statistical significance was found among them based on their study levels. The study holds implications as the findings will help the course instructors and administrators for effective integrations of AI-enabled technology to equip students with effective English skills

Mathematics education · Medical education · Perception · Educational Technology and Pedagogy · Medicine · Online Learning and Analytics · Psychology · Technology-Enhanced Education Studies

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Unique citing works2
Citations per year2
Citation span2025 - 2026 (2)
Citation velocitycurrent
Highly citedNo
Citation typesNeutral: 2

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Open DOIOpen Access
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