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Home > Wen Yuan (Middle School Edition) > 2025 No.12 > 基于人工智能的高中化学个性化学习路径优化研究

  • 基于人工智能的高中化学个性化学习路径优化研究

    Author(s)：

    邱灵巍

    Publication Title：

    Wen Yuan (Middle School Edition) 2025 No.12

    Affiliations：

    江西省寻乌中学

    DOI：

    10.12252/j.issn.2096-627X.2025.12.161

    Abstract：

    教育信息化背景下，传统高中化学教学面临学生差异显著与教学内容统一的根本矛盾。该研究聚焦于人工智能技术如何驱动学习路径的个性化优化。通过构建高中化学知识图谱与动态学习者画像，设计自适应推荐算法，旨在为每位学生生成符合其认知水平与学习风格的最佳学习序列。实践证明，该方法有效提升了知识掌握效率与学科兴趣，为破解规模化教育与个性化培养的难题提供了可行的技术方案。

    Keywords：

    人工智能；高中化学；个性化学习

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    [1] 邱灵巍.基于人工智能的高中化学个性化学习路径优化研究[J].Wen Yuan (Middle School Edition),2025(12),. https://doi.org/10.12252/j.issn.2096-627X.2025.12.161

文渊(中学版)
Wen Yuan (Middle School Edition)

Language: 中文

CN：11-9275/G

ISSN：2096-627X

Publication Frequency: 月刊

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