مؤسسة الشرق الأوسط للنشر العلمي

عادةً ما يتم الرد في غضون خمس دقائق

الإصدار الرابع عشر: 15 أكتوبر 2023
من مجلة العلوم الإنسانية العربية

Artificial Intelligence-Based Mobile Learning in English Language Teaching (ELT) for EFL Learners: Enhancing Pronunciation with ELSA SPEAK in Oman

Mohammad Ahmad Ibrahim Al-Shallakh
Abstract

Mobile learning powered by artificial intelligence (AI) holds great promise in revolutionizing education through the introduction of personalized tutoring systems. This transformative approach aims to empower all learners, fostering autonomy and promoting collaborative learning. In this study, ELSA Speak Learning was utilized to implement mobile learning enhanced by AI. The ELSA Speak mobile learning platform, driven by AI, offers an enjoyable and practical language learning experience for students studying English as a Foreign Language (EFL). Each level of ELSA Speak encompasses meaningful learning objectives, including vocabulary, grammar syntax, listening, pronunciation, and role-playing. The objective of this study was to assess the progress of EFL college students in Oman who utilized AI-based mobile learning for English language instruction. The study employed a pretest-posttest non-equivalent control group design, consisting of two groups: a control group that did not utilize AI-based mobile learning and an experimental group that did. The findings revealed that the t critical value (6.373) exceeded the t table, as evidenced by the positive lower score (4.56524) and upper score (8.61126). The Sig (2-tailed) value was below 0.05, leading to the conclusion that the experimental group displayed significantly higher English competence compared to the control group. Moreover, students exhibited positive attitudes towards AI-based mobile learning, highlighting two outcomes: increased learning opportunities and areas for improvement identified during the implementation of ELSA Speak.

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