在大数据背景下，本文基于大数据探索高校思想政治教育的运行机制和客观规律,采用跨学科研究、有机结合定性分析法、案例分析、文献研究等若干研究方法，对大数据视域下高校思想政治教育运行机制优化这一命题进行了综合性分析，探讨了大数据技术在高校思想政治教育工作中的作用机理以及使用方针。本文全面剖析了大数据时代中的高校思想政治教育运行机制，并采用结构化系统分析法，层层分解了高校思想政治教育在大数据时代中的运行机制创新系统 。
本文在分析新的一代大学生在大数据背景下所呈现出的特点与行为特征之上，结合大数据的运行规律以及特征，从价值和理念等两个层面出发全面优化了高校思想政治教育的运行机制，只要在理念方面具备了大数据的思维，才能在行动上付诸实施；在运行机制优化方面，提出了决策机制的科学化、执行机制的精细化、监督机制的实时化、协调机制的民主化、服务机制的人本化；在路径方面提出收集数据、组建数据团队、开展自适应学习与动态实时监测、构建学生个体画像和成长曲线、日常管理信息化与数据化的创新思路；在载体方面，提出了打造个性化学习平台、高效的思想政治教育交流载体、多元维度的富有个性化的画像集聚平台；浩瀚的数据，需要科学的治理，需要设立专门机构监督数据收集和使用、从法律层面保障大学生的信息安全、通过大数据信息技术巩固大学生的主流价值，进而提升高校思想政治教育运行的有效性,并希望能够为思想政治教育的研究者、实践者们基于大数据构建高校思想政治教育优化创新体系提供参考。

Based on big data to explore the operation mechanism and objective laws of Ideological and political education in Colleges and universities, to explore the new laws and requirements of Ideological and political education of college students in the new era, to promote the reform and innovation of Ideological and political education in Colleges and universities, has become the primary problem to be solved by our government, education departments, especially colleges and universities. Based on the analysis of the characteristics and behavior characteristics of the new generation of College Students under the background of big data, combined with the operation rules and characteristics of big data, this paper comprehensively optimizes the operation mechanism of Ideological and political education in Colleges and universities from two aspects of value and concept, so long as they have the thinking of big data in terms of theory, they can be put into practice in action; in the operation mechanism optimization. On the one hand, it puts forward the scientific decision-making mechanism, the refined implementation mechanism, the real-time supervision mechanism, the democratization of coordination mechanism, and the humanization of service mechanism; on the other hand, it puts forward the innovative ideas of collecting data, building data team, developing self-adaptive learning, building individual picture and growth curve of students, daily management informatization and data-based; on the carrier, it puts forward It has created a personalized learning platform, an efficient ideological and political education exchange carrier, and a multi-dimensional personalized portrait gathering platform; vast data needs scientific governance, special agencies need to be set up to supervise data collection and use, guarantee the information security of university students from the legal level, and consolidate the mainstream value of University students through big data information technology.