Research on Big Data Administration Promotion Strategy of Ideological and Political Construction in Institutionsof Higher Learning from the Perspective of Cognitive Psychological Study

Abstract

In the big data era, profound changes have happened in the ideological and political work environment of higher learning institutions, and big data administration related to ideological and political construction faces new challenges and requirements. Cognitive psychological study focuses on the basis of human information reception and processing, which is closely related to ideological and political work. Thus, it is of great significance to the research on the problem of big data administration of ideological and political construction in higher learning institutions. From cognitive psychological perspective, this study investigated how to promote big data administration strategies for ideological and political construction in higher learning institutions. In this study, 24 colleges in 6 cities of Zhejiang Province with different economic levels were selected through stratified random sampling according to their scale, and 100 participants were randomly selected from each college who were participating or had participated in the ideological and political work. A total of 2400 participants completed a questionnaire. Finally, 2325 valid questionnaires were obtained. The research carried out surveys from the aspects of organization construction, faculty, administration model, student satisfaction, etc. Based on the close relationship between cognitive psychological study and ideological and political construction in higher learning institutions, this paper analyzes the problems in big data administration and proposes optimized operating strategies. The research found that the characteristics of big data of ideological and political construction in higher learning institutions are quantifiable, superimposable, comparable, and integrable. And there are some urgent problems that need to be addressed, such as unclear data sharing requirements, uncoordinated departmental cooperation, unguaranteed data validity, and hidden dangers in data security control. In view of the current problems in big data administration, it is necessary to optimize the operating mechanism considering three aspects of technology, administration functions, data. Based on cognitive psychological study, this research puts forward three optimization strategies to enhance big data administration of ideological and political constructions in higher learning institutions, such as improving the protection of big data talent teams, building a cross-level data platform on campus that combines the unified and divided model, and promoting the system protection. In addition, future research should enhance data sample collection and the development of big data prediction models to provide big data support for better development in the ideological and political construction in higher learning institutions.