The Challenges and Approaches of Generative Artificial Intelligence (GenAI) to promote Educational Innovation

The widespread application of generative artificial intelligence technology in the education sector has opened up infinite possibilities for educational innovation. This article analyzes the core elements, practical applications, and characteristics of generative intelligence technology, and examines the challenges faced by the education sector. These challenges cover issues such as the instability of generative AI algorithms, the complexity of protecting students' personal information, verifying the authenticity of generated content, and quality control. Corresponding solutions have also been proposed, including optimizing algorithms to improve the stability and accuracy of the model, strengthening privacy protection measures, and constructing a content quality evaluation system to promote the efficient application of generative intelligence technology in educational innovation. A prospect was made on the development trend of generative artificial intelligence technology in the field of education and its promotion of educational innovation.