Research on the Precise Supply of Educational Resources Empowered by Artificial Intelligence for the Revitalization of Rural Education

Abstract

The revitalization of rural education depends on the effective support of educational resources. At present, the provision of educational resources in rural areas still faces several challenges, including a weak connection with actual needs, insufficient integration of digital resources into classroom teaching, and an imbalance between external resource input and the development of local rural resources. The development of artificial intelligence provides new technological conditions for transforming the supply of educational resources in rural education. By means of data sensing, intelligent adaptation, intelligent generation, and feedback-based iteration, artificial intelligence can help shift educational resource supply from extensive delivery to more precise matching. In this regard, learning resources should be allocated in accordance with students’ learning differences, teaching resource support should be strengthened in response to teachers’ instructional needs, local educational resources should be developed on the basis of rural contexts, and mechanisms for resource review, feedback evaluation, and data governance should be improved. These measures can enhance the relevance and appropriateness of educational resource supply in rural areas.