大数据应用于思想政治教育的局限与突破
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G641

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2019年国家社会科学基金重大项目"大数据时代思想政治教育理论、方法与实践的创新研究"(19ZDA007)


Limitations and breakthroughs of big dataapplication in ideological and political education
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    摘要:

    大数据与思想政治教育融合发展,是新形势下思想政治教育创新发展的主要趋势和重要推力。当前,推进大数据与思想政治教育融合发展,既要保持"技术敏感"又要避免"技术迷信",既要把握"理论可行"又要注重"实际可行",一方面要立足大数据技术特征,客观认识、冷静看待大数据本身在数据产生、数据处理和数据结论运用等方面的局限性;另一方面要在冷静思考的基础上寻求突破,不断注重数据的鉴别和筛选,提高大数据来源的可靠性;逐步精细数据的加工和挖掘,提高大数据处理的可行性;持续优化数据的解读和分析,提高大数据结论的可用性,以此最大限度地发挥大数据在思想政治教育中的应用价值和实际效用,促进和保障思想政治教育持续健康发展。

    Abstract:

    The integration and development of big data and ideological and political education is the main trend and important thrust of the innovation and development of ideological and political education under the new situation. At present, in order to promote the integration and development of big data and ideological and political education, we should not only maintain "technical sensitivity" but also avoid "technology superstition", grasp "theoretical feasibility" and pay attention to "practical feasibility". On the one hand, based on the technical characteristics of big data, we should objectively understand and calmly treat the limitations of big data in data generation, data processing and data conclusion application. On the other hand, we should seek breakthroughs on the basis of calm thinking, and constantly pay attention to the identification and screening of data to improve the reliability of big data sources; gradually refine the processing and mining of data to improve the feasibility of big data processing; continuously optimize the interpretation and analysis of data to improve the usability of big data conclusions, so as to maximize the application value and practical utility of big data in ideological and political education, promote and guarantee the sustained and healthy development of ideological and political education.

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冯刚.大数据应用于思想政治教育的局限与突破[J].重庆大学学报社会科学版,2021,27(2):1-7. DOI:10.11835/j. issn.1008-5831. jy.2020.12.001

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  • 最后修改日期:2020-11-06
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  • 在线发布日期: 2021-03-13
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