摘要
大数据深刻重塑着思想政治教育的现实境遇、价值理念和实践结构。大数据思政视域下,高校要运用大数据技术,在铸魂培根、启智润心、立德树人的时间厚度、空间广度、实践宽度上下功夫,增强时代定力,激发理论魅力,厚植创新活力,以大数据思维致力于信仰坚定、学识渊博、理论功底的动态超拔。增强政治能力,以学为人师的崇德向善赋能时代新人;增强协同能力,以言为士则的学术造诣启智先锋力量;增强创新能力,以行为世范的人格魅力呵护青年成长。在个体意义具象基础上实现集体主动集束优化,成为铸魂培根、润心启智、立德树人的新时代关键力量。
Big data is profoundly reshaping the realistic situation,value concept and practical structure of ideological and political education.From the perspective of ideological and political education in the big data era,colleges and universities should use big data technology to make efforts in the time thickness,space breadth and practice width of casting the soul,enlightening the mind and cultivating people,strengthening the focus of the times,stimulating theoretical charm,and cultivating innovation vitality.With the thinking of big data,we are committed to the dynamic transcendence of firm belief,profound knowledge and theoretical foundation.We should enhance the political ability to empower the new generation with the virtue of learning as a teacher;enhance the synergy ability to enlighten the pioneering power with the academic attainment of words as a teacher;enhance the innovation ability to care for the growth of youth with the personality charm of exemplary behavior.On the basis of individual meaningfulness,we will realize the optimization of the collective initiative set,and become the key force of the new era to forge the soul and cultivate the roots,enlighten the mind and establish moral education.
作者
樊帅领
Fan Shuailing(Anhui University of Science and Technology,Huainan,Anhui 232001,China)
出处
《黑龙江工业学院学报(综合版)》
2022年第11期33-39,共7页
Journal of Heilongjiang University of Technology(Comprehensive Edition)
基金
国家社科基金项目“新时代思想政治教育的主要矛盾研究”(项目编号:18BKS183)
安徽高校人文社会科学研究重点项目“人文关怀视域下大学生党史学习教育的优化路径”(项目编号:SK2021A0214)
安徽理工大学习近平新时代中国特色社会主义思想研究中心一般项目“美好生活视域下高校党史学习教育的实践意蕴”(项目编号:sxzx2021-10)
安徽理工大学思想政治教育研究会课题“红色资源融入大学生党史学习教育的现实路径”(课题编号:xszh2021-2022-12)。
关键词
大数据思政
历史主动
时代新人
着力点
ideological and political education in the big data era
historical initiative
the new generation
the focus