大数据驱动背景下高校思想政治工作精准化创新路径探索

Xiong Luo
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引用次数: 0

摘要

然而,尽管现有的高校效能评价模型提供了大量建模方案,但在精准化思想政治工作创新路径评价过程中,难以根据不同类型高校精准化思想政治工作体系的差异进行客观的动态系数评价。在此背景下,本文提出了大数据驱动背景下的高校思想政治工作精准化创新路径,并构建了复杂系统离散动态建模技术。该模型利用多重变换动态系数定量描述了不同精准化思想政治工作模式之间的一致性、精准化思想政治工作研究策略的相似性以及预期评价指标。该研究为高校思想政治工作领域的创新研究提供了新思路和新方法。
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Exploration on Innovation Path of Precise Ideological and Political Work in Colleges and Universities Under the Background of Big Data Driving
However, although existing models for evaluating the effectiveness of universities provide a large number of modeling solutions, it is difficult to objectively evaluate dynamic coefficients based on the differences in precision ideological and political work systems of different types of universities in the evaluation process of innovative paths for precision ideological and political work. In this context, this article proposes an innovative path for the precision of ideological and political work in universities under the background of big data driving, and constructs a complex system discrete dynamic modeling technology. This model quantitatively describes the consistency between different precise ideological and political work models, the similarity of research strategies for precise ideological and political work, and expected evaluation indicators using multiple transformation dynamic coefficients. This study provides new ideas and methods for innovative research in the field of ideological and political work in universities.
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