Development and design of artificial intelligence robot-assisted Chinese language education modules for young children: a study based on the DDR model

With the development of artificial intelligence technology, educational robots have been gradually introduced into the field of preschool education, particularly showing unique advantages in language education. However, the current application of AI robots in kindergarten language teaching still presents problems, including a lack of systematic teaching design, unnatural interaction, and a low match with course objectives. To solve the above problems, this study adopts the DDR model research method to develop and design a preschool language education module assisted by artificial intelligence robots. The study follows the three stages of the DDR model. Each stage uses different methods to achieve its goals. The first stage is the analysis stage, followed by the design and development stage, and finally the implementation and evaluation stage. Through practice in a real teaching situation in a kindergarten in Zhengzhou, China, an AI-assisted language teaching module with complete structure, rich content, and high matching with the language development stage of young children is gradually formed. The study uses classroom observation, teacher interviews, etc. to collect qualitative data for analysis. This study verifies the application value of AI robots in early childhood language education and proposes a set of scalable AI education module design processes. The research results have positive significance for artificial intelligence to empower preschool education and promote the deep integration of teaching tools and teaching goals.