Impact of AI-Assisted Flipped Classroom on Speaking Skills of Pakistani ESL Learners

Abstract

The current study investigates the effectiveness of an Artificial Intelligence (AI)-assisted flipped classroom model on the speaking skills of Pakistani L2 learners. In a flipped classroom, traditional teaching methods are inverted where learners first encounter new content independently through technology and then engage in interactive, collaborative learning activities during face-to-face sessions. AI tools offer the potential to enhance speaking skills in an ESL context by providing immediate feedback, personalized practice, and engaging learning experiences. This research explores how the combination of AI technology and flipped classroom methodology affects students’ speaking proficiency, confidence, and overall learning outcomes. The study uses a mixed-methods approach, incorporating both qualitative and quantitative data from pre-tests, post-tests, and interviews. The study highlights that AI-assisted flipped classrooms significantly improve the speaking skills by fostering more interactive and personalized learning experiences of Pakistani ESL learners. These advancements provide an effective, student-centered approach to language acquisition. The findings contribute to understanding how AI can be used to foster language acquisition, specifically in speaking, among Pakistani ESL learners.