【作 者】：
朱永海，张佳鑫， 韩锡斌
【关 键 词 】：
生成式人工智能； 个性化学习； 主体强自主性； 环境强生成性； 生成式学习； 自我引导； 群体智慧结构
【栏 目】：
课程与教学
【中文摘要】：
生成式人工智能（Artificial Intelligence Generated Content，AIGC）正在重塑千行百业，也为个性化学习提供了新的可能性。为进一步探讨基于AIGC的个性化学习新形态，采用文献研究法，首先梳理了从经典的个性化学习，到基于大数据技术的个性化学习，再到基于AIGC的个性化学习等三个阶段的演变过程，阐释了基于AIGC的个性化学习内涵。其次，分析了基于AIGC的个性化学习新形态的两大核心要素及其特征：师生智能体及其强自主性和环境智能体及其强生成性。要素之间的关系也呈现出自我引导、内容生成、路径优化和群体智慧结构等新特征。最后，讨论了基于AIGC的个性化学习新形态的结构特征：凸显了学习者自我导向学习、基于认知水平的生成式学习内容、适应内隐需求特征的千人千面的学习路径供给，以及基于群体智慧的学习机会选择均等。
【英文摘要】：
Artificial Intelligence Generated Content (AIGC) is reshaping various industries and providing new possibilities for personalized learning. In order to further explore the new form of personalized learning based on AIGC, this paper firstly adopts the literature research method to comb the evolution process from classical personalized learning, to personalized learning based on big data technology, and then to the personalized learning based on AIGC, and explains the connotation of personalized learning based on AIGC. Secondly, the two core elements and their characteristics of the new form of personalized learning based on AIGC are analyzed: teacher-student intelligent agents and their strong autonomy, and environmental intelligent agents and their strong generativity. The relationship between the elements also presents new features, reflecting the characteristics of self-guidance, content generation, path optimization and group intelligence structure. Finally, the structural features of the new form of personalized learning based on AIGC are discussed, including highlighting learners' self-directed learning, the generative learning content based on cognitive level, the supply of diverse learning paths adapted to the characteristics of implicit needs, and the equal selection of learning opportunities based on group intelligence.