The synergy of generative AI and inquiry-based learning: transforming the landscape of English teaching and learning

Abstract

ABSTRACT This study investigates the integration of artificial intelligence (AI) tools, such as ChatGPT, into English as a Foreign Language (EFL) teacher learning, aiming to transcend the traditional, test-centric constraints of language education through inquiry-based learning (IBL). Conducted over a semester, the research involved thirteen in-service teachers who engaged in crafting lesson plans, executing microteaching sessions, and documenting their reflections. These qualitative data sources provided insights into how AI can enhance language teaching by personalizing content and supporting the development of communicative skills. The analysis through thematic analysis revealed that AI technologies empowered teachers to design interactive and adaptive learning materials, including picture books and karaoke exercises, thereby fostering a more dynamic and student-centered learning environment. In-service teachers noted that the adaptability of AI tools not only facilitated the creation of compelling lessons but also significantly improved students’ listening and speaking skills. The findings advocate for the strategic incorporation of AI in EFL teaching, suggesting that such technologies can lead to innovative pedagogical approaches that are attuned to the diverse needs of learners. This study underscores the potential of AI to revolutionize language education.