基于机器学习的计算机教学资源共享模型设计

Design of Computer Teaching Resource Sharing Model Based on Machine Learning

为提升计算机科学教育中教学资源的管理效率和使用效果,文中基于机器学习方法,设计并实现了一个计算机教学资源共享模型,探讨了机器学习技术在优化资源分类、个性化推荐、用户行为分析等方面的应用。结果表明,该模型不仅显著提高了资源的可访问性和个性化体验,还通过数据分析增强了教育资源的整体管理效率,为计算机科学教育的资源共享提供了一种创新和有效的解决方案。

In order to improve the management efficiency and use effect of teaching resources in computer science educa-tion,this paper designs and implements a computer teaching resource sharing model based on machine learning methods,and discusses the application of machine learning technology in optimizing resource classification,personalized recommen-dation,user behavior analysis,etc.The results show that the model not only significantly improves the accessibility of re-sources and personalized experience,but also enhances the overall management efficiency of educational resources through data analytics,providing an innovative and effective solution for resource sharing in computer science education.