神经教育学驱动的AIGC大学英语课程思政模型构建与验证


	——基于跨校区联邦学习框架的混合现实实证研究

doi:10. 3969 / j. issn. 2096-2266. 2026. 03. 002

大理大学学报 ›› 2026, Vol. 11 ›› Issue (3): 10-.DOI: 10. 3969 / j. issn. 2096-2266. 2026. 03. 002

• 思政课教育教学研究专栏 • 上一篇下一篇

神经教育学驱动的AIGC大学英语课程思政模型构建与验证

——基于跨校区联邦学习框架的混合现实实证研究

张　磊

河北环境工程学院基础部

出版日期:2026-03-15 发布日期:2026-04-01
作者简介:张磊，副教授，主要从事外语教学、二语习得研究。
基金资助:
河北环境工程学院校级课程思政示范课建设项目（KCSZ202528）

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

Basic Department, Hebei University of Environmental Engineering

Online:2026-03-15 Published:2026-04-01

摘要/Abstract

摘要：

为探索AIGC技术在大学英语课程思政教育中的有效应用路径，构建并验证了融合神经教育学监测与跨校区联邦学习

框架的三维模型。通过混合现实教学实验，同步采集312名被试的多模态生理与行为数据，并采用动态Shapley值算法进行联

邦权重聚合。结果表明，AIGC生成内容显著提升了前额叶皮层θ波强度（提升65.4%）与情感沉浸度（均值0.78），神经激活强

度与价值观内化深度指数（VDI）存在显著正相关（β=0.73），HE-Blockchain隐私保护框架有效保障了数据安全。该模型证实了

生成式AI对价值观内化的神经可塑性调控作用，为智能技术赋能思政教育提供了数据驱动的实践方案。

关键词:

AIGC课程思政, 神经教育学, 认知图谱, 联邦学习框架, 跨模态情感计算

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.

Key words:

AIGC-enabled curriculum-based ideological and political education, neuroeducation, cognitive map, federated learning

framework, cross-modal affective computing

张　磊.

神经教育学驱动的AIGC大学英语课程思政模型构建与验证

——基于跨校区联邦学习框架的混合现实实证研究

[J]. 大理大学学报, 2026, 11(3): 10-.

Zhang Lei.

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

[J]. Journal of Dali University, 2026, 11(3): 10-.

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http://journal15.magtechjournal.com/Jwk_dlxyzk/CN/Y2026/V11/I3/10

神经教育学驱动的AIGC大学英语课程思政模型构建与验证

——基于跨校区联邦学习框架的混合现实实证研究

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

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