Research on the Utilization Path of Ideological and Political Education Data based on the DIKW Model

Yue Yao
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引用次数: 0

Abstract

Aiming at the large scale and dynamic iteration, systematic and comprehensive, and multiple synergistic characteristics of the current ideological and political education data, the "Data-Wisdom" decision-making model based on the ideological and political data of colleges and universities is proposed in order to enrich the decision-making theoretical system of the existing colleges and universities and provide references for ideological and political decision-making. The core element of the "Data-Wisdom" decision-making model in colleges and universities is the organic fusion of data, computation, algorithm, and platform. Through rooting the new concept of big data ideological and political education, improving the ability of participants in ideological and political education to use big data, perfecting the mechanism of big data management, protection, and monitoring, and standardizing the use of data, the model can be used in large-scale data management. application purposes and other suggestions, on the basis of large-scale data collection, the wisdom of big data integration is brought into play in order to solve the problem of realizing the personalized customization of ideological and political education and nurturing services, and realizing the high-quality planning and development of ideological and political education.
基于 DIKW 模型的思想政治教育数据利用路径研究
针对当前高校思想政治教育数据规模庞大、动态迭代、系统全面、多元协同的特点,提出基于高校思想政治数据的 "数据-智慧 "决策模型,以丰富现有高校决策理论体系,为思想政治决策提供参考。高校 "数据-智慧 "决策模式的核心要素是数据、计算、算法、平台的有机融合。通过根植大数据思想政治教育新理念,提升思想政治教育参与者运用大数据的能力,完善大数据管理、保护、监控机制,规范数据使用,该模式可在大规模数据管理中。应用目的等建议,在大规模数据采集的基础上,发挥大数据融合智慧,以解决实现思想政治教育育人服务的个性化定制,实现思想政治教育的高质量规划和发展。
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