Author(s)

Shi Wang ¹

Affiliation(s)

¹ Hainan Vocational University of Science and Technology, Haikou, Hainan, 571126, China

Corresponding Author

Shi Wang

ABSTRACT

Artificial intelligence is profoundly reshaping educational structures and teaching models. As a foundational course in vocational undergraduate talent development systems, the quality of mathematics instruction directly impacts students' professional learning capabilities and career development potential. However, constrained by factors such as significant disparities in students' mathematical foundations, the high abstract nature of course content, and relatively monotonous teaching methods, mathematics instruction in vocational undergraduate programs often suffers from suboptimal teaching outcomes. Integrating artificial intelligence technology into vocational undergraduate mathematics instruction can drive a shift from experience-driven to data-driven teaching models, enabling precision, personalization, and intelligence in the teaching process. This study analyses the practical significance of AI-empowered mathematics teaching in vocational undergraduate education, identifies key challenges in current pedagogy, and explores integration pathway across four dimensions—teaching objectives, content, process, and assessment—to provide theoretical references and practical insights for reforming mathematics instruction in vocational undergraduate programs.

KEYWORDS

Artificial Intelligence, Vocational Undergraduate Education, Mathematics Curriculum, Teaching Reform, Integration Pathway

CITE THIS PAPER

Shi Wang. Research on the Integration Pathway of Artificial Intelligence and Mathematics Teaching in Vocational Undergraduate Education. Journal of Artificial Intelligence Practice (2026). Vol. 9, No.1, 21-26. DOI: http://dx.doi.org/10.23977/jaip.2026.090103.

REFERENCES

[1] Shi Y. (2026). Research on Teaching Methods for Mathematics in Higher Vocational Colleges in the Context of Artificial Intelligence, China Electronics Business,1,1-3.
[2] Wang B. and He J. (2025). Artificial Intelligence-Empowered Dynamic Monitoring Mechanism for Higher Vocational Mathematics Courses, China Journal of Multimedia & Network Teaching,10,53-56.
[3] Wang B and Wang D. (2025). An Exploration of the Underlying Logic and Implementation Pathways for AI-Empowered Higher Vocational Mathematics Courses, China Journal of Multimedia & Network Teaching,9,59-62. 
[4] Dong Y.H. (2025). Design of an Artificial Intelligence-Based Teaching Support System for Higher Vocational Mathematics Education, Software,8,74-76.
[5] Yan Y.J. and Zhao Y. (2025). Research on Teaching Approaches for Higher Vocational Mathematics Modelling Courses in the Context of Artificial Intelligence, The Guide of Science & Education,19,25-27. https://doi.org/10.16400/j.cnki.kjdk.2025.19.008.
[6] Zhang X.M. (2025). Practical Exploration of Artificial Intelligence Technology in Higher Vocational Mathematics Teaching, China CIO News,5,144-147.

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