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Guide to Education Innovation

ISSN Print:2789-0732
ISSN Online:2789-0740
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Research on the Practice of AI-Enabled Student Development Guidance Based on Subject Teaching — A Case Study of Precision Teaching in High School Physics Circuit Review

Guide to Education Innovation / 2025,5(4): 120-127 / 2025-11-25 look25 look14
  • Authors: Yongchao Li
  • Information:
    BDA School of The High School Affiliated to Renmin University of China, Beijing
  • Keywords:
    Data-driven; AI-powered; High school physics; Student development guidance
  • Abstract: Under the dual context of the digital transformation of education and the deepening of student development guidance, high school physics teaching must break away from the traditional positioning of “being dominated by knowledge transmission” and assume a new mission of “taking disciplines as the foundation and fostering students’ all-round development”. Taking the review teaching of the “Constant Current” unit in high school physics as a practical vehicle, this paper constructs a closed-loop student development guidance framework based on data-driven methodologies and AI technology, characterized by “pre-class diagnosis to pinpoint development bottlenecks — in-class hierarchical intervention to boost development — post-class verification to assess development outcomes”. Grounded in physics disciplinary knowledge, this study focuses on the role of AI technology in accurately aligning with students’ needs, cultivating core competencies, and facilitating personalized development, thereby verifying the feasibility of the student development guidance pathway within the context of disciplinary teaching. Practical results demonstrate that this model significantly enhances indicators such as students’ autonomous learning participation rate and the accuracy of tasks related to logical thinking. Most students can clearly perceive the improvement of their own abilities, providing a replicable “technology + discipline” integration paradigm for student development guidance.
  • DOI: https://doi.org/10.35534/gei.0504014 (registering DOI)
  • Cite: Li, Y. C. (2025). Research on the Practice of AI-Enabled Student Development Guidance Based on Subject Teaching — A Case Study of Precision Teaching in High School Physics Circuit Review. Guide to Education Innovation, 5(4), 120-127.
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