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高校思想政治教育数字化建设及其价值意蕴、风险表征与实践进路 被引量:10

Value Implications,Risk Representation,and Practical Approach of Digital Construction of Ideological and Political Education in Universities
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摘要 在数字时代,高校思想政治教育数字化建设成为大势所趋。数字技术与高校思想政治教育的全面融合,为深化思想政治教育改革创新、拓展思想政治教育独特优势、推进思想政治教育高质量发展提供了新的视角和动能。当前,高校思想政治教育数字化建设在探索过程中面临着思维认识工具化、关系互动失序化、范式变革割裂化、治理实践失范化等方面的潜在风险和现实挑战,必须进一步强化以价值塑造为核心的理念定位、优化以素养培育为基础的主客联动、形塑以融合创新为导向的育人范式、激发以效能提升为重点的治理优势,不断推动高校思想政治教育数字化建设朝着科学化、精准化、智能化方向发展。 In the digital era,the digital construction of ideological and political education in universities has become a general trend.The comprehensive integration of digital technology and ideological and political education in universities provides new perspectives and momentum for deepening the reform and innovation of ideological and political education,activating the traditional advantages of ideological and political education,and promoting the high-quality development of ideological and political education.At present,ideological and political education in universities face potential risks and practical challenges in the process of digital construction,such as the instrumentalization of value orientation,the disordering in relationship interaction,the fragmentation of paradigm change,and the anomie of governance practice.It is necessary to further strengthen the concept positioning with value shaping as the core,optimize the interaction between subject and object based on the improvement of quality,create the education ecology oriented by integration and innovation,stimulate governance advantages with a focus on improving efficiency,and constantly promote the transformation of ideological and political education in universities to develop in the direction of precision and intelligence.
作者 谷永鑫 Gu Yong xin
出处 《大学教育科学》 CSSCI 北大核心 2024年第1期58-65,共8页 University Education Science
基金 陕西省社会科学基金项目“新时代网络空间道德治理的提升路径研究”(2022A008) 西安交通大学基本科研业务费(人文社科类)专项科研项目“新时代中国共产党意识形态领导权建设研究”(SK2022079)。
关键词 教育数字化建设 思想政治教育 智能技术 潜在风险 优化策略 digital education construction ideological and political education intelligent technology potential risk optimization strategy
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