AIGC-Driven Research on Personalized Design and Practice of Microcourse Videos in Primary and Secondary Schools

文章探讨生成式人工智能在中小学微课视频个性化设计与实践中的应用潜力，传统微课制作周期长、资源同质化及个性化不足等问题，推动教育信息化发展。通过分析微课视频的瓶颈与新机遇，提出基于AIGC的智能生成方法，包括教学资源自动化生成、个性化教学设计适配及创新技术应用。通过实践得出AIGC显著提升了微课制作效率，支持多模态资源的个性化组合，满足学生差异化学习需求。但存在生成内容情感表达不足、复杂知识准确性待优化及硬件依赖性等挑战。AIGC为中小学微课视频的个性化设计与实践提供了创新路径，需结合教师人工干预与技术改进，平衡效率与教育温度，推动基础教育从“标准化”向“精准化”转型。This paper explores the application potential of generative artificial intelligence in the personalized design and practice of primary and secondary microcourse videos, the long production cycle of traditional microcourses, the homogenization of resources and the lack of personalization to promote the development of education informatization. By analyzing the bottlenecks and new opportunities of micro-teaching videos, an intelligent generation method based on AIGC is proposed, including the automated generation of teaching resources, personalized teaching design adaptation and innovative technology application. Through practice, it is concluded that AIGC significantly improves the efficiency of micro-teaching production, supports the personalized combination of multimodal resources, and meets the differentiated learning needs of students. However, there are challenges such as insufficient emotional expression of generated content, complex knowledge accuracy to be optimized, and hardware dependency, etc. AIGC provides an innovative path for the personalized design and practice of primary and secondary school micro-teaching videos, which needs to be combined with teachers’ manual intervention and technological improvement, balancing the efficiency and temperature of education, and promoting the development of basic education from “standardization” to “precision”. AIGC provides an innovative path for the personalized design and practice of micro-teaching videos in primary and secondary schools.