文献类型：期刊文献

中文题名：大数据时代研究生思政课教学改革探索——以中国马克思主义与当代课程为例

英文题名：Big Data Era Graduate Students Explore the Ideological and Political Theory Course Teaching Reform——Take the Chinese Marxism and the Contemporary as An Example

作者：黄时进[1]

机构：[1]华东理工大学马克思主义学院,上海200237

年份：2017

卷号：34

期号：6

起止页码：94

中文期刊名：化工高等教育

外文期刊名：Higher Education in Chemical Engineering

收录：国家哲学社会科学学术期刊数据库

基金：国家社科基金一般项目"网络化科学的认识论研究"(项目编号:17BZX039);华东理工大学研究生课程建设项目"研究生思想政治理论课教学改革探索"

语种：中文

中文关键词：大数据;研究生思政课;中国马克思主义与当代;教学改革

外文关键词：Big data; The graduate education courses; The Chinese marxism and the contemporary;Teaching reform

摘要：大数据时代的到来,海量数据及相关搜集分析数据技术的进步,给研究生思想政治理论课带来前所未有的挑战和机遇。"中国马克思主义与当代"是培养博士研究生思想政治素质的核心课程,需要结合大数据时代的特征和博士研究生的特点进行整体规划,通过创建和完善马克思主义和中国特色社会主义理论资源数据库,引导博士研究生结合自己的专业来运用大数据参与课程研讨,提升教学质量与效果,同时帮助博士研究生成长为德才兼备、全面发展的高层次创新人才。
The advent of the era of big data,data collect analysis and related technology,brings to the graduate student ideological and political theory course unprecedented challenges and opportunities.Chinese marxism and the contemporary is to cultivate a doctoral candidate in the core courses of ideological and political quality,needs to be combined with the feature of era of big data and the characteristics of doctoral graduate student,the overall planning of the teaching reform,by creating and perfecting the marxism and the theory of socialism with Chinese characteristics resources database,guide the doctoral student to use their own professional large data participate in class discussion,to improve the teaching quality and effect,help doctoral students grow up to be having both ability and political integrity,comprehensive development of high-level innovative talents.