AI-Driven Advancements in ESL Learner Autonomy:Investigating Student Attitudes TowardsVirtual Assistant Usability

Abstract

This research examines the impact of advanced machine learning-powered Virtual Assistants on promoting learner autonomy in English as a Second Language (ESL) education. It aims to assess the usability of Virtual Assistants like Alexa and uncover the challenges and opportunities associated with their integration into ESL learning environments. Employing a mixed-methods approach, this study evaluates the effectiveness of AI in enhancing ESL learner autonomy at the school level and compares AI-based learning with traditional classroom methods for ESL students aged 10 to 18. Data collection methods include feedback questionnaires, interviews, informal discussions, and an analysis of Alexa based research. This research offers valuable insights for educators and learners, equipping them with innovative pedagogical tools to enhance the ESL learning experience. Ultimately, it explores how AI, specifically Virtual Assistants, can transform ESL education by fostering greater learner autonomy, enriching the educational landscape, and empowering students to take charge of their learning journeys.