Integrating Artificial Intelligence into Language Teaching Approaches: A Systematic Review of Flipped Classrooms

Including artificial intelligence (AI) in flipped classrooms has become a revolutionary technique for education since it provides creative ideas to improve the teaching and learning environments. Still under investigation, though, is the degree and impact of such integration, especially in relation to language learning and educational developments. Examining papers published between 2015 and 2024, this systematic literature review looks at the integration of artificial intelligence in flipped classrooms using the PRISMA framework for a rigorous and open approach. Using Scopus and Web of Science databases, advanced searches turned out 31 important studies from which this review is based. Three major themes define the results: (1) AI integration in flipped classroom models, (2) the use of ChatGPT and conversational AI in flipped learning, and (3) the role of AI in fostering language learning and student engagement. Results revealed several uses of artificial intelligence in offering customised education, real-time feedback, and flexible learning opportunities even as issues including accessibility and ethical considerations are resolved. Understanding artificial intelligence-driven changes in interactive and cooperative learning settings highlights how imaginatively the flipped classroom idea could be considered. Recent studies highlight the need for research on scalable implementation, equitable access, and long-term impact to enhance the effectiveness of AI-driven flipped classrooms. This paper contributes to the expanding body of information on the junction of artificial intelligence and flipped learning and has important implications for legislators, teachers, and academics aiming at creative innovation in modern educational methods.