Status Quo and Countermeasures of Personalized Mathematics Learning in the AI Era

With the development of AI, intelligent teaching in China is playing an increasingly important role. However, the importance of personalized mathematics learning is widely acknowledged intelligence era, but traditional mathematics teaching can hardly cater to the differences in students' individual needs, which leads to a series of problems, such as the decline of students' interest in learning and the unbalanced development of students' abilities. This article aims to study the status quo, problems, and difficulties of implementing personalized mathematics learning in the AI era. This study proposes corresponding solutions to each problem. It is expected that these solutions can promote the development of personalized mathematics learning in the AI era and facilitate sustainable and sound development of the human-machine collaborative education paradigm, thereby creating a more inclusive and efficient educational ecosystem that balances technological innovation with student-centered pedagogy.