大数据时代下物流专业《大数据导论》课程思政建设  

Ideological and Political Construction of the Course Introduction to Big Data for Logistics Engineering Specialty in the Era of Big Data

作　　者：王倩[1] 王晓煜[1] WANG Qian;WANG Xiaoyu(Dalian Neusoft Information Institute,Dalian 116023,China)

机构地区：[1]大连东软信息学院,辽宁大连116023

出　　处：《物流科技》2023年第17期161-163,166,共4页Logistics Sci-Tech

基　　金：辽宁省教育厅2021年度科学研究经费项目“基于知识图谱的大学生自主学习路径推荐系统的研究”(LJKR0755);中国民办教育协会2021年度规划课题项目“教育大数据下民办高校基于OBE教育理念的学习评价研究与实践”(CANFZG21044)。

摘　　要：在当前大数据发展如火如荼的背景下,为了适应新时代的发展,物流专业需要深化改革,培养出适应大数据时代需求的专业型物流人才。文章以物流专业大数据相关基础课程《大数据导论》为基础,明确课程思政的建设方向和总体教学目标,并对课程思政元素进行深度和广度挖掘,通过设计将思政元素与教学单元高度融合,通过课程多维度考核进行预期学习效果达成度评价,针对学习效果总结了课程思政建设原则以及改进措施,保障课程思政效果和人才培养质量。Under the current background of the rapid development of big data,in order to adapt to the development of the new era,the logistics profession needs to further reform and train professional logistics personnel to meet the needs of the big data era.Based on the basic course"introduction to big data"of logistics major,this paper clarifies the construction direction and overall teaching objectives of course ideological and political work,digs deeply and extensively the elements of course ideological and political work,highly integrates them with teaching units through design,evaluates the expected learning effect through multi-dimensional assessment of the course,and sums up the principles and improvement measures of course ideological and political work for the learning effect.Ensuring ideological and political effect of courses and quality of personnel training.

关 键 词：课程思政 思政元素 学习效果达成度 

分 类 号：F253[经济管理—国民经济] G642[文化科学—高等教育学]