1672-8505

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刘晓玲. 数智融合驱动下思想政治教育的创新发展探析[J]. 西华大学学报(哲学社会科学版),2023,42(5):12 − 19 . doi: 10.12189/j.issn.1672-8505.2023.05.002
引用本文: 刘晓玲. 数智融合驱动下思想政治教育的创新发展探析[J]. 西华大学学报(哲学社会科学版),2023,42(5):12 − 19 . doi: 10.12189/j.issn.1672-8505.2023.05.002
LIU Xiao-ling. Analysis of the Innovative Development of Ideological and Political Education Driven by the Integration of Big Data and Artificial Intelligence[J]. Journal of Xihua University (Philosophy & Social Sciences) , 2023, 42(5): 12-19. DOI: 10.12189/j.issn.1672-8505.2023.05.002
Citation: LIU Xiao-ling. Analysis of the Innovative Development of Ideological and Political Education Driven by the Integration of Big Data and Artificial Intelligence[J]. Journal of Xihua University (Philosophy & Social Sciences) , 2023, 42(5): 12-19. DOI: 10.12189/j.issn.1672-8505.2023.05.002

数智融合驱动下思想政治教育的创新发展探析

Analysis of the Innovative Development of Ideological and Political Education Driven by the Integration of Big Data and Artificial Intelligence

  • 摘要: 大数据与人工智能的深度融合推动我国进入数智时代,广泛影响思想政治教育的发展要素和实践场域。把握数智融合的时代蕴涵,探索数智化发展现实路径是思想政治教育创新发展的应有之义。在数智融合驱动下,可以从数字思政的全面建设、精准思政的纵深发展、协同思政的高效运转三个维度整体推动思想政治教育创新发展。思想政治教育实现数智融合的发展要件包括:思政数据治理底座;思政数智化“码力”;大模型+思政应用。通过要件的发展,推动思想政治工作传统优势同数智前沿技术高度融合,整体换道提速,增强思想政治教育的时代感和实效性。

     

    Abstract: The deep integration of big data and artificial intelligence is driving China into the era of digital intelligence, and widely impacting the subjects and practices of ideological and political education. Grasping the implications of digital intelligence integration and exploring the path of digital intelligence development is essential for innovative development in ideological and political education. Under the drive of digital intelligence integration, the innovative development of ideological and political education can be promoted comprehensively from three dimensions: comprehensive construction of digital ideological and political education, in-depth development of precision ideological and political education, and efficient operation of collaborative ideological and political education. The development prerequisites for the integration of ideological and political education and digital intelligence include: the foundation for governance of ideological and political data, the "coding ability" of digital intelligence in ideological and political education, and the combination of big models and ideological and political applications. Through the development of these prerequisites, the traditional advantages of ideological and political work can be highly integrated with cutting-edge digital technologies, facilitating overall transformation and enhancing the timeliness and effectiveness of ideological and political education.

     

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