智慧教育旨在运用现代信息技术来促进教育改革，突破传统教学活动的时空限制，实现个性化能力素质培养。本项目针对云环境下优质教育资源多样性和资源推送个性化需求，拟构建一种基于知识结构的智慧教育云资源精准推送机制，实现自适应差异化教育资源推送。为解决海量云教学资源库资源重复、冗余和不规范等问题，引入本体技术，规范资源在数据库中的表示，构建可共享和重用的云教育资源数据库；研究云教育资源查询任务调度优化模型，设计引入遗传算法交叉变异因子的粒子群优化方法，提高该混合优化算法收敛速度，实现快速有效的查询任务资源调度；研究基于深度学习方法的教学资源知识点自动学习编码模型，实现教育资源知识点的准确识别，引入随机森林算法，实现满足用户需求的教育资源个性化推送。本项目尝试为智慧教育云资源提供一种高效智能的资源推送机制，满足用户个性化和差异化需求，提高在线教学质量。

Intelligent education aims to use modern information technology to promote education reform, break through the time and space limitations of traditional teaching activities, and realize the cultivation of personalized ability and quality. This project aims to build a precision push mechanism of intelligent education cloud resources based on knowledge structure to realize adaptive and differentiated push of education resources according to the diversity of high-quality education resources and personalized demand of resource push in the cloud environment. In order to solve the problems of resource duplication, redundancy and non-standard in the massive cloud teaching resource database, the ontology technology is introduced to standardize the representation of resources in the database and build a cloud education resource database that can be Shared and reused. This paper studies the optimization model of cloud education resource query task scheduling, designs the particle swarm optimization method that introduces the crossover mutation factor of genetic algorithm, improves the convergence speed of the hybrid optimization algorithm, and realizes the quick and effective query task resource scheduling. This paper studies the automatic learning coding model of teaching resource knowledge points based on the deep learning method, realizes the accurate identification of educational resource knowledge points, introduces the random forest algorithm, and realizes the personalized push of educational resources to meet the needs of users. This project attempts to provide an efficient and intelligent resource push mechanism for intelligent education cloud resources to meet users' personalized and differentiated needs and improve the quality of online teaching.