A New Model of Immersive Oral Teaching in EFL with Integrated AI Chabot Technology

Importance: The incorporation of artificial intelligence (AI) Chabot innovation in language education has attracted enthusiasts due to the variability of learning experiences. The gap in literature: However, the literature reveals the lack of studies reporting explicit models of Integrated Oral Teaching in an EFL context that is supported by AI chatbots effectively. Objective: This research seeks to fill this gap by developing an innovative and effective paradigm of oral teaching using an AI Chabot that prepares learners for real-time PBL practice. Methodology: An SLR was conducted to identify current frameworks and as well as emerging trends in the use of AI-based tools in EFL classroom teaching. Key findings: The facts discovered showed that AI chatbots enhance oral fluency, interest level, and personalization of learning domains in addition to addressing the issue of learners’ anxiety. Implications: The proposed model coordinates theory and practice, inclusiveness for different languages and cultures, and flexibility in their related implementation. This study is informative for educators and policymakers, as this work has provided a solution on how to scale up the dispersion of effective teaching-learning methodologies in EFL classes using technology.