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Exploring Strategic Pathways for AI-Empowered Personalized Mathematics Education in Liaoning Private Undergraduate Colleges and Universities

Author(s)

Xueqing Wang*

Affiliation(s)

School of Liberal Education, Liaoning University of International Business and Economics, Dalian, Liaoning, China *Corresponding author

Abstract

Since the official birth of the field of artificial intelligence in 1956, its development trajectory has consistently attracted widespread social attention and academic exploration. Mathematics, as the theoretical cornerstone of scientific research, plays a crucial role across various disciplines. For instance, in fields such as electronic communication and aerospace engineering, mathematical methods are essential for system modeling, simulation, and optimization. In light of this trend, private higher education institutions urgently need to break through traditional disciplinary barriers by establishing a cross-disciplinary platform that integrates artificial intelligence with mathematical foundations, transforming the deductive capabilities of theoretical models into tangible industrial outcomes. Both domestic and international research has made achievements in the application of artificial intelligence in personalized education and teacher-student interaction, yet there remain some critical research gaps. This paper provides a comprehensive and in-depth analysis of personalized education in mathematics courses at private higher education institutions, forming a systematic theoretical and practical framework.

Keywords

AI-Empowered; Private Undergraduate Colleges and Universities; Mathematics; Personalized Education

References

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