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大数据与高校思政课有效“聚合”的实践路径 被引量:6

The Practice Approach of Effective "Aggregation" Between Big Data and Ideological and Political Course in Colleges and Universities
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摘要 大数据时代,数字教育已成为教育改革与发展的新业态,高校思政课作为"立德树人"的关键课程,只有顺应时代发展,在明确大数据对思政课教育模式、课堂地位以及教师与学生带来挑战的基础上,坚持以"聚合"为基、"需求"为本、"精育"为核、"共享"为旨,才能发挥大数据对思政课改革与发展的新动能,促进大数据与思政课有效嵌入、耦合,进而发挥其"聚合效应",提高思政课的亲和力、针对性和实效性。 In big data era,digital education has become a new form of education reform and development.Ideological and political courses in colleges and universities,as the key course of"strengthening moral education and cultivating people",must keep up with the development of the era.On the basis of clearing the challenges brought about by big data to the teaching mode,classroom status and teachers and students,we should adhere to the"aggregation"as the basis,the"requirements"as the foundation,"essence education"as the core and"sharing"as the purport.Only in this way can we exert the new kinetic function of big data,promote the effective coupling of big data with ideological and political courses,and improve the affinity,pertinence and effectiveness of ideological and political courses.
作者 张宝君 崔译文 ZHANG Bao-jun;CUI Yi-wen(School of Marxism,Jilin Normal University,Siping 136000,China)
出处 《东华理工大学学报(社会科学版)》 2021年第2期168-173,共6页 Journal of East China University of Technology(Social Science)
基金 国家社科基金一般项目“‘聚合效应’视阈下高校学生思想政治教育微载体建设研究”(16BKS129)。
关键词 大数据 高校 思政课 聚合 路径 big data colleges and universities ideological and political course aggregation approach
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