越南學生使用以人工智慧為基礎 的行動英語學習應用程式的因素探討

Abstract

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This study investigates the key factors influencing Vietnamese students’ engagement with AI-based English learning applications. Focusing on three dimensions—Feedback Mechanism, Personalized Learning, and Social Media Integration—the research aims to understand how these technological features impact learner motivation and sustained usage. A quantitative approach was employed, with data collected from 147 qualified Vietnamese users of popular AI-powered English learning apps such as Duolingo, ELSA Speak, and CAKE. Multiple linear regression analysis revealed that Feedback Mechanism had the strongest positive influence on user engagement, followed by Personalized Learning and Social Media Integration. These findings highlight the importance of delivering timely, personalized feedback and fostering community interaction in enhancing digital learning experiences. The study contributes to the growing trend of research on AI in education, offering both theoretical insights and practical implications for app developers, educators, and policymakers aiming to improve student engagement in technology- assisted language learning.