基于机器学习的思政教学资源共享模型设计

Design of Sharing Model of Ideological and Political Teaching Resources Based on Machine Learning

由于资源库更新慢、优质教学资源推广不及时,教学资源共享发展严重滞后。为此,提出基于机器学习的思政教学资源共享模型设计方案。利用机器学习中的聚类算法将各类资源分类整理,同时以基础层、环境层和应用层3个模块组建教学资源共享模型,形成易于查找的数据集合。在接收到用户的检索需求后,执行图形用户界面程序,并通过用户接口将结果反馈给用户,凭借功能模块实现教学资源的管理、共享和发布。通过对应用共享模型实际应用效果进行调查,结果表明所提模型对思政教学资源共享具有积极的促进作用。

Due to the slow updating of resource database and the untimely promotion of high-quality teaching resources,the development of teaching resource sharing lags behind seriously.Therefore,this paper puts forward a design scheme of the sharing model of ideological and political teaching resources based on machine learning.The clustering algorithm of machine learning is used to classify resources.At the same time,a teaching resource sharing model is built with three modules of foundation layer,environment layer and application layer to form an easy to find data set.After receiving user’s retrieval requirements,the graphical user interface program is executed,and the results are fed back to the user through the user interface.The management,sharing and publishing of teaching resources are realized by virtue of functional modules.Through the investigation of the practical application effect of the application sharing model,the results show that the proposed model has a positive role in promoting the sharing of ideological and political teaching resources.