The Impact and Challenges of Artificial Intelligence on the Quality of Rural Compulsory Education Teaching

Abstract

In today's digital age, the application of artificial intelligence in education has gradually attracted widespread attention, which is of great significance, especially in improving the teaching quality of rural compulsory education. However, rural education still lags in the exploration and utilization of AI in education, facing many realistic plights. This essay analyzes the current application status of AI in rural compulsory education, exploring its practical paths, obstacles, and equity challenges in promoting teaching quality. It points out that AI could optimize rural compulsory education through digital resource sharing, classroom teaching mode transformation, and personalized learning feedback. But it is also confronted with problems such as poor compatibility of digital resources, insufficient adaptability of the teacher-student role, and incomplete personalized learning guarantee mechanisms. Based on this, this article proposes suggestions including strengthening the construction of digital infrastructure, enhancing the compatibility of AI education resources, developing the digital literacy of rural teachers and students, as well as improving AI monitoring and evaluation systems. Thereby, these could facilitate the high-quality development of rural compulsory education and contribute to the realization of educational equity.