A Systematic Literature Review on the Feasibility of Dialogue Learning Based on Generative AI

This study systematically reviews the feasibility of dialogue learning based on generative AI. Research on mixed reality and generative AI in enhancing teaching effectiveness is increasingly in-depth both domestically and internationally. The development and application of mixed reality and generative AI are accelerating, evolving classroom structures and methods. In the context of rapid social, economic, and technological development, students require more personalized and innovative education, which dialogue learning interventions based on generative AI can effectively address. Through a systematic literature review method, 128 relevant studies from the past decade were systematically analyzed to explore the feasibility of dialogue learning in the context of generative AI. The study finds that the application of generative AI in dialogue learning not only enhances learning outcomes but also excels in personalized learning and timely feedback. However, the diversity and operability of technological implementation and application scenarios require further exploration. This research provides references and insights for future studies by related scholars.