Research on the Integration Pathway of Artificial Intelligence and Mathematics Teaching in Vocational Undergraduate Education
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Resumo
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.
Dados da obra
- Tipo
- Artigo
- Periódico
- Journal of Artificial Intelligence Practice, v. 9, n. 1
- Ano
- 2026 (2026-01-01)
- Palavras-chave
- artificial intelligence in education; mathematics education; vocational undergraduate education; data-driven instruction; personalized learning; teaching reform; assessment reform; teaching objectives; curriculum content
- Temas
- Avaliação, Currículo, Educação Profissional e Tecnológica
- DOI
- 10.23977/jaip.2026.090103
- ISSN
- 2371-8315, 2371-8412
- Licença
- cc-by
- Acesso
- Download disponível
- Fontes
- OpenAlex
- Na Biblioteca desde
- 01/10/2026 · verificada em 03/10/2026
Como citar
ABNT
WANG, Shi. Research on the Integration Pathway of Artificial Intelligence and Mathematics Teaching in Vocational Undergraduate Education. Journal of Artificial Intelligence Practice, v. 9, n. 1, 2026. DOI: https://doi.org/10.23977/jaip.2026.090103.
APA
Wang, S. (2026). Research on the Integration Pathway of Artificial Intelligence and Mathematics Teaching in Vocational Undergraduate Education. Journal of Artificial Intelligence Practice, 9(1). https://doi.org/10.23977/jaip.2026.090103
BibTeX
@article{wang2026,
author = {Wang, Shi},
title = {Research on the Integration Pathway of Artificial Intelligence and Mathematics Teaching in Vocational Undergraduate Education},
year = {2026},
journal = {Journal of Artificial Intelligence Practice},
volume = {9},
number = {1},
doi = {10.23977/jaip.2026.090103}
}RIS
TY - JOUR AU - Wang, Shi TI - Research on the Integration Pathway of Artificial Intelligence and Mathematics Teaching in Vocational Undergraduate Education PY - 2026 JO - Journal of Artificial Intelligence Practice VL - 9 IS - 1 DO - 10.23977/jaip.2026.090103 ER -
Referência gerada automaticamente a partir dos metadados das fontes; confira com o documento original. Baixar BibTeX · Baixar RIS
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