Author(s)

Shi Wang ¹

Affiliation(s)

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

Corresponding Author

Shi Wang

ABSTRACT

Advanced Mathematics teaching in many vocational universities in China still follows traditional instructional paradigms, with practical problems including subjective learning-condition diagnosis, superficial implementation of differentiated instruction, inadequate alignment between teaching resources and professional occupational contexts, an excessive emphasis on summative assessment over formative assessment, and passive and delayed instructional adjustment. Homogeneous and standardized traditional classrooms are therefore insufficient to meet the needs of vocational undergraduate students, who exhibit substantial differences in prior mathematical knowledge, diverse professional orientations, and strong practical learning needs. To address these challenges, this study, against the backdrop of smart education, fully explores the application of artificial intelligence (AI) and big data technologies in education and develops an AI-driven six-stage closed-loop teaching model consisting of precise diagnosis, dynamic stratification, resource recommendation, tiered instruction, multidimensional assessment, and iterative adjustment. The model is implemented in Advanced Mathematics in vocational undergraduate education. By leveraging AI for learning-condition data collection and analysis, intelligent adaptation of learning resources, dynamic monitoring of learning status, and iterative optimization based on instructional data, the model connects the entire teaching process before, during, and after class, facilitating a transition in mathematics instruction from homogeneous knowledge transmission to precision-oriented student development and empowerment. Practical implementation indicates that the proposed model can effectively improve classroom teaching effectiveness, strengthen students’ ability to apply mathematical knowledge, and better fulfill the talent cultivation objectives of vocational undergraduate education. It therefore provides a practical reference for smart teaching reform in mathematics at similar universities.

KEYWORDS

Vocational Undergraduate Education; Advanced Mathematics; Closed-Loop Teaching Model; Precision Teaching; Teaching Model Reform

CITE THIS PAPER

Shi Wang. Construction and Practice of an AI-Driven Six-Stage Closed-Loop Teaching Model for Mathematics in Vocational Undergraduate Education. Curriculum and Teaching Methodology (2026). Vol. 9, No. 5, 27-35. DOI: http://dx.doi.org/10.23977/curtm.2026.090504.

REFERENCES

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Sponsors, Associates, and Links

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• Advances in Educational Technology and Psychology
  
  
• Transactions on Comparative Education
  
  
• Applied & Educational Psychology
  
  
• Advances in Vocational and Technical Education
  
  
• Adult and Higher Education