高校智慧党建体系设计与实践:基于大数据视域的研究  

Design and Practice of Smart Party Building System in Colleges and Universities:Research Based on the Perspective of Big Data

作　　者：刘峰 Feng Liu(Marxist College of Weifang University,Weifang,Shandong 261061)

机构地区：[1]潍坊学院马克思主义学院,山东潍坊261061

出　　处：《教育思想理论研究》2025年第3期131-133,共3页Research on Educational Thought Theory

基　　金：潍坊市党建思政专项课题:大数据视域下高校智慧党建体系构建研究——以潍坊学院为例(编号:2024DJZX32)。

摘　　要：随着信息技术的发展,大数据已成为社会治理革新的关键驱动力。高校作为基层党建的重要阵地,肩负着培养社会主义建设者和接班人的重任,亟需探索适应新时代需求的智慧党建模式。大数据技术不仅能为党建工作提供精准数据支持,还能通过智能化手段提高管理效率和服务质量,实现党建工作的精准化、高效化管理。本文聚焦大数据视域下高校智慧党建体系构建,围绕“数据驱动、模块协同、动态优化”核心理念,探讨大数据技术在党员教育管理、组织活动中的效能提升,结合高校实践案例验证体系设计框架的有效性,为新时代高校智慧党建提供理论与实践参考。With the development of information technology,big data has become a key driving force for social governance reform.As an important battlefield for grassroots party building,universities shoulder the responsibility of cultivating socialist builders and successors,and urgently need to explore intelligent party building models that meet the needs of the new era.Big data technology can not only provide accurate data support for party building work,but also improve management efficiency and service quality through intelligent means,achiev-ing precise and efficient management of party building work.This paper focuses on the construction of an intelligent party-building system in universities from a big data perspective,centered on the core concepts of"data-driven,module coordination,and dynamic optimization."It explores how big data technology enhances the efficiency of party member education and organizational activities,validates the system design framework through a university case study,and provides theoretical and practical references for intelligent party-building in the new era.

关 键 词：高校 智慧党建 大数据 设计与实践 

分 类 号：D267[政治法律—政治学]