人工智能视频生成技术赋能继续教育高质量教学研究OACHSSCD

Against the backdrop of the rapid evolution of artificial intelligence(AI)technology and the accelerating digital transformation of indus-tries,AI-generated content(AIGC)is fundamentally reshaping the landscape of educational development.AI video generation technology,with its signif-icant advantages such as instant generation,real-time updating,immersive experiences,and efficient interaction,provides critical technical support for the innovation of teaching modes.This study systematically reviews the application classification,core characteristics,empowerment pathways,and exist-ing issues of this technology in continuing education.The application types include virtual digital human generation technology,code-driven generation technology,and interactive video generation technology;the core characteristics are embodied in instant video production,real-time knowledge updating,immersive scene experiences,and efficient human-machine interaction;the empowerment pathways focus on two major modes:personalized adaptive learning video generation and large-scale high-quality teaching resource supply;practical bottlenecks are concentrated on the insufficient technology pop-ularization and inadequate accuracy of teaching content.Based on this,the study constructs a collaborative optimization system from three aspects:policy support and technical guidance,algorithm optimization and audit enhancement,and deep integration of technology and teaching practice,providing theo-retical reference and practical pathways for the digital transformation and high-quality development of continuing education.