Journal of Dali University ›› 2026, Vol. 11 ›› Issue (3): 10-.DOI: 10. 3969 / j. issn. 2096-2266. 2026. 03. 002

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Neuroeducation-Driven AIGC Model Construction and Validation for College English Curriculum-Based
Ideological and Political Education: An Empirical Study on Mixed Reality Based on a Cross-Campus
Federated Learning Framework

Zhang Lei
  

  1. Basic Department, Hebei University of Environmental Engineering
  • Online:2026-03-15 Published:2026-04-01

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Abstract:

This study explores effective application paths for integrating AIGC technology into curriculum-based ideological and
political education in college English courses, by constructing and validating a three-dimensional model that incorporates neuro
educational monitoring and a cross-campus federated learning framework. A mixed-reality teaching experiment was conducted,
synchronously collecting multimodal physiological and behavioral data from 312 participants, with federated weight aggregation
achieved through a dynamic Shapley value algorithm. Results demonstrate that AIGC-generated content significantly enhanced the
theta wave intensity of the prefrontal cortex （an increase of 65.4%） and the level of emotional immersion （mean value: 0.78）
, showing
a significant positive correlation （β=0.73） between neural activation intensity and the Value Internalization Depth index （VDI）
. The HE-Blockchain privacy protection framework effectively ensured data security. The model confirms the regulatory role of generative AI in neuroplasticity-mediated value internalization, offering a data-driven practical approach for empowering curriculum-based
ideological and political education through intelligent technologies.

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