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生成式AI的出现加速了大规模个性化学习的进展。依据共轭效应系统分析生成式AI如何赋能个性化学习，探究了学习材料、学习策略、学习路径、学习环境等各要素在生成式AI的助推下相互作用、动态平衡的内在机理。生成式AI助推个性化学习体现在辅助生成学习材料、辅助优化学习策略、规划个性化学习路径、营造高效学习环境四个方面。随着生成式AI的迭代升级及深度应用，未来需要进一步优化机器算法与模型，提高生成学习材料的质量；着眼学生能力发展，构建以能力为主导的个性化学习框架；优化AI+职业咨询和心理支持服务，推动个性化学习服务升级；加强人机深度协作，构建人机和谐的个性化学习环境。
Abstract：The emergence of generative AI has significantly accelerated the development of large-scale personalized learning. By leveraging the concept of synergy, we can systematically analyze how generative AI empowers personalized learning, delving into the dynamic interactions and balance among key elements such as learning materials, learning strategies, learning paths, and learning environments. Generative AI plays a pivotal role in this process by facilitating the creation of learning materials, optimizing learning strategies, designing personalized learning paths, and fostering efficient learning environments. As generative AI continues to evolve and its applications deepen, there is a need to further refine algorithms and models to enhance the quality of generated learning materials. This focus should be on developing a capability-driven personalized learning framework that emphasizes student growth. Additionally, optimizing AI-integrated career counseling and psychological support services will further elevate personalized learning services. In this context, enhancing human-machine collaboration to create a harmonious personalized learning environment will bring about revolutionary changes in the educational field.
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基本信息:
DOI：10.13236/j.cnki.jshe.2025.12.008
中图分类号:G434
引用信息:
[1]蒋晨程,魏雨昂,吴丽朦.以生成式AI赋能个性化学习：机理、变革与趋势[J].江苏高教,2025,No.298(12):61-68.DOI:10.13236/j.cnki.jshe.2025.12.008.
基金信息:
国家自然科学基金面上项目“对话式导学中面向知识建构的有效对话生成机制研究”(62477012)