【摘要】 生成式人工智能正在深刻改变教育领域，通过其强大的数据处理和模型学习能力，推动个性化教学和教育资源的普及。生成式人工智能能够生成多种形式的新内容，展现出卓越的创造性和适应性，有望解决教育资源分配不均和个性化教学难题。然而，其在应用过程中也面临教育公平性和隐私保护的挑战。可汗学院和清华大学的案例展示了生成式人工智能在实现因材施教、提升教学效率和改善学习体验方面的实际应用。为实现教育变革，需推进课程的跨学科融合、建立AI通识课程、创新评估方式，并推广个性化学习系统，以引领未来教育的发展。更多还原

【Abstract】 Generative AI is significantly reshaping the educational landscape by harnessing its powerful data processing and pattern learning capabilities to advance personalized learning and broaden access to educational resources. This technology can generate novel content across diverse formats, showcasing remarkable creativity and adaptability, and holds potential for addressing challenges such as inequitable distribution of educational resources and the implementation of personalized instruction. Nevertheless, its deployment raises critical issues related to educational equity and privacy protection. Case studies from Khan Academy and Tsinghua University exemplify the practical application of generative AI in facilitating personalized education, enhancing teaching efficiency, and enriching learning experiences. To achieve meaningful educational transformation, it is important to promote interdisciplinary curriculum integration, establish AI literacy courses,innovate assessment methodologies, and expand personalized learning systems, thereby steering the future trajectory of education.更多还原