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eISSN: 2581-9615 || CODEN: WJARAI || Impact Factor 8.2 ||  CrossRef DOI

Research and review articles are invited for publication in April 2026 (Volume 30, Issue 1) Submit manuscript

Artificial Intelligence in EFL Education: Enhancing Learning Outcomes in Saudi Arabia

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  • Artificial Intelligence in EFL Education: Enhancing Learning Outcomes in Saudi Arabia

Mahgoub Kamel Mahmoud Mohammad *

University Malaysia Pahang, Centre for Modern Languages, Applied Linguistics.

Research Article

World Journal of Advanced Research and Reviews, 2026, 29(03), 1098-1114

Article DOI: 10.30574/wjarr.2026.29.3.0658

DOI url: https://doi.org/10.30574/wjarr.2026.29.3.0658

Received on 07 February 2026; revised on 14 March 2026; accepted on 16 March 2026

Artificial intelligence (AI) has emerged as one of the most influential technological innovations shaping contemporary educational practices. In the field of English as a Foreign Language (EFL) education, AI-powered applications—including intelligent tutoring systems, automated writing feedback tools, and conversational chatbots—offer new opportunities to enhance language learning outcomes through personalized instruction and adaptive learning environments. This study investigates the role of artificial intelligence in improving English language learning outcomes among EFL students in international schools in Riyadh, Saudi Arabia. The research adopts a mixed-methods approach involving quantitative analysis of student learning outcomes and qualitative exploration of teacher perceptions. Data were collected from 312 students and 24 English language teachers across three international schools: Al-Alson International School, Glory Generation International School, and Leadership International School. Statistical analyses included descriptive statistics, correlation analysis, regression modeling, and structural equation modeling to examine the relationships between AI usage, learner engagement, learner autonomy, and English language achievement. The results indicate that AI-supported instruction significantly enhances writing performance, vocabulary acquisition, and student engagement in English learning tasks. Learner engagement emerged as the strongest predictor of overall English achievement, highlighting the importance of interactive and student-centered learning environments. Teachers reported generally positive attitudes toward AI integration while emphasizing the need for professional training and clear institutional guidelines to ensure responsible use. The findings suggest that AI technologies can substantially improve EFL learning outcomes when integrated within pedagogically structured instructional frameworks supported by teacher guidance and institutional policy. This study contributes to the growing body of research on artificial intelligence in language education by providing empirical evidence from the international school context in Saudi Arabia.

Artificial Intelligence; English Language Learning; Educational Technology; EFL

https://wjarr.com/sites/default/files/fulltext_pdf/WJARR-2026-0658.pdf

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Mahgoub Kamel Mahmoud Mohammad. Artificial Intelligence in EFL Education: Enhancing Learning Outcomes in Saudi Arabia. University Malaysia Pahang, Centre for Modern Languages, Applied Linguistics. World Journal of Advanced Research and Reviews, 2026, 29(03), 1098-1114. Article DOI: https://doi.org/10.30574/wjarr.2026.29.3.0658.

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