Research on the Impact of Adaptive Learning of Artificial Intelligence on the Chinese Reading Ability of Rural Primary School Students

Abstract

With the rapid development of artificial intelligence technology, the application of adaptive learning systems in the field of education is becoming increasingly widespread. This study focuses on the influence of artificial intelligence adaptive learning on the Chinese reading ability of rural primary school students, and deeply analyzes its positive and negative influence mechanisms. The research finds that the artificial intelligence adaptive learning system can precisely match reading resources, optimize the reading learning process, stimulate students'
reading interest, and effectively make up for the shortage of rural educational resources; however, it also easily brings negative effects such as
students' excessive reliance on technology in reading, fixed thinking patterns, and lack of interpersonal interaction. Based on this, this study
puts forward the optimization strategy, designs the adaptive learning system, strengthens the guidance role of teachers, and creates a good
reading atmosphere, so as to give full play to the advantages of artificial intelligence adaptive learning, avoid its potential risks, and improve
the Chinese reading ability of rural primary school students.