思想政治教育大数据的生成规律与运用逻辑

The Generation Rule and Application Logic of Big Data in Ideological and Political Education

随着大数据时代的到来,思想政治教育也进入了大数据时代。以马克思主义技术哲学为指导、以思想政治教育技术资源论为来源、以数字化和网络化理论等为借鉴是思想政治教育大数据观形成的理论基础。在思想政治教育大数据观的视野下,以大数据思维、技术和资源等促进思想政治教育创新,其大数据的生成体现出原始形态、初级形态、中级形态和高级形态四个阶段递进性生成和发展的规律性,同时,其大数据的运用也体现出在矛盾变化中寻找因果性、在偶然现象中寻找必然性、在可能空间中寻找现实性、在系统数据中寻找相关性四种现实性分析和运用逻辑。

With the coming of the big data era the ideological and political education has entered the era of big data. Taking Marxist philosophy of technology as the guide, the theory of ideological and polit ical education as the source and the theory of digitalization and networking as a reference, consists of the theoretical basis for the formation of the big data view of ideological and political education. In the view of big data use by the deological and political education, the generation of big data embodies four stages： original form, primary form, intermediate form and advanced form. At the same time, the use of big data also reflects the search for causality in the change of contradictions, search for inevitability in accidental phenomena, search for reality in the possible space and search for relevance in the system data. These are four kinds of realistic analysis and application logic.