arXiv:2607.05403v1 Announce Type: cross Abstract: This paper aims to synthesize empirical research on AI tools used to support English as a second/foreign language (EL2) learners in Arab University classrooms (AUCs) between Jan 1st 2023 and Aug 31st 2025. We utilized 3 large datasets, namely Google Scholar, Web of Science, and Scopus as the data sources. Using PRISMA-guided searches across these well-known databases, we included only published articles. The search process results in 184 studies, but only 11 studies met the inclusion criteria. Findings unveil that EL2 learners have positive att
The paper synthesizes empirical research on AI tools in Arab University English classrooms from 2023-2025, offering a timely assessment of AI's integration into education.
This research provides insights into the early adoption and perceived effectiveness of AI in educational settings outside Western contexts, highlighting its potential impact on language learning and skill development.
The study reveals a positive sentiment towards AI tools among EL2 learners in Arab universities, suggesting a growing acceptance and integration of AI in non-STEM curricula.
- · AI education tool developers
- · Arab universities
- · English language learners
- · EdTech sector
- · Traditional language teaching methodologies
Increased investment and development of AI-powered language learning platforms customized for specific cultural and linguistic contexts.
Broader adoption of AI tools across various academic disciplines within Arab universities, improving learning outcomes and teaching efficiency.
Potential for Arab nations to develop their own localized AI educational models, reducing reliance on external solutions and fostering domestic AI capabilities.
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Read at arXiv cs.AI