大数据时代下高校思想政治教育创新方法研究

L. Lian
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摘要

新时代下,高校思想政治教育必须与时俱进,向互联网延伸,向云延伸,向数据深化。大数据有三个显著特点:强调相关性、价值挖掘和趋势预测。大数据为高校思想政治教育创新提供了新机遇、新手段、新途径。然而,运用大数据创新高校思想政治教育方法,必须解决技术基础薄弱、数据壁垒严格、专业人才短缺等问题。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Research on Innovative Methods for Ideological and Political Education in Higher Education Institutions in the Big Data Era
: In the new era, ideological and political education in universities must keep pace with the progress of the times by extending to the internet, expanding to the cloud, and deepening through data. Big data has three notable features: emphasis on correlations, value exploration, and trend prediction. Big data provides new opportunities, means, and avenues for innovative methods in ideological and political education at universities. However, the application of big data to innovate methods for ideological and political education in universities must address weak technological foundations, strict data barriers, and a shortage of specialized talent.
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