Primary education resource-sharing based on feature clustering optimization model

Abstract

The mode of educational reform and development has undergone profound changes. To turn teaching into a knowledge-intensive specialty, it is necessary to construct an ecological environment that is conducive to the creation, dissemination, sharing, and accumulation of educational resources. This will be conducive to promoting the sharing and flow of educational resources within the organization, as well as the updating of knowledge and the professional development of individual teachers. At the same time, it can also promote the positive transformation of teachers' individual knowledge to organizational knowledge, and promote the systematic construction and optimal development of the organization. This paper integrates information technology and primary educational resources to promote the sharing of high-quality resources to solve the problem of uneven distribution of primary education resources. Feature clustering is integrated into multi-task recommendation, and neighbor subsets are recommended to share real information according to the quality index of nodes. This strategy provides external incentives to the nodes to help them evaluate the trustworthiness of the nodes' information sharing behaviors in their neighbors. In this paper, it is recommended that a subset of nodes with high quality index share information, which plays a role in encouraging efficient information cooperation among nodes. The results tell that the proposed clustering algorithm and the multi-task clustering recommendation algorithm have excellent performance in the network. The proposed algorithm has good robustness and accuracy both in the difference of the parameters to be estimated and in the multi-task environment. The research content of this paper is conducive to the high-quality sharing of primary education resources, and plays a role in promoting the improvement of education level.