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Reconstruction of the Performance Standards in the Transition from 7 to 14 Grades from the Perspective of Generative AI: Concrete Path from “Hierarchical Linearity” to “Instantaneous Generation”

Guide to Education Innovation / 2025,5(4): 143-154 / 2025-12-02 39 36

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• Authors: Zhijian Xue
• Information:

  Lingnan Normal University, Zhanjiang

• Keywords:
  Generative AI; Secondary school mathematical literacy; Literacy performance standards; Hierarchical linearity; Instantaneous generation; Theoretical reconstruction
• Abstract: Generative AI tech is racing ahead, and it’s greatly changing the ecosystem and scenes of secondary maths education. This has brought about unprecedented challenges of adaptability and a crisis of explanatory power for the traditional “hierarchically linear” math literacy standards that stem from the cognitive logic of “static knowledge accumulation.” Using a theoretical speculation research paradigm, the thesis systematically conceptually decomposes, rigorously propositionally deduces, and deeply conducts theoretical dialogues to investigate the generative mechanism of such dilemmas, as well as to systematically propose pathways for solving them. The research concludes the shortcoming of traditional standards is the inabilities to recognize the difference between two distinct mathematical practice fields - “static foundational context” and “dynamic generative context”, and the lack of understanding that both foundational and generative competencies have an inherent dialectic “means/ends” relationship such as a student being able to perform computations, make reasoned argumentations, contextualize problems and dynamic model tasks together. Based on this, the study originally proposes the theoretical framework of “Context-Competency-Synergy Three-Dimensional integration”, which not only clarifies the internal logic of the adaptive transformation from “hierarchical linearity” to “instantaneous generation” theoretically, but also provides a solid theoretical foundation and action guidance for the reconstruction of the secondary school mathematical literacy standards and the innovation of teaching practice in the intelligent era.
• DOI: https://doi.org/10.35534/gei.0504016 (registering DOI)
• Cite: Xue, Z. J. (2025). Reconstruction of the Performance Standards in the Transition from 7 to 14 Grades from the Perspective of Generative AI: Concrete Path from “Hierarchical Linearity” to “Instantaneous Generation”. Guide to Education Innovation, 5(4), 143-154.