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作 者:刘备 陈紫怡 韩梅 毕灿 LIU Bei;CHEN Zi-yi;HAN Mei;BI Can(School of Management,Nanjing University of Posts and Telecommunications,Nanjing 210000,China)
出 处:《物流工程与管理》2024年第11期153-155,158,共4页Logistics Engineering and Management
基 金:南京邮电大学校级教改一般项目:立德树人视域下课程思政元素挖掘与实践路径探索(JG00122JX39)。
摘 要:全面推进课程思政建设,是落实立德树人根本任务的战略举措。随着大数据技术在物流管理的广泛应用,物流专业亟需应用性物流统计人才。文中以物流管理专业的基础课程之一的统计学为例,以统计学课程的教学目标和思政目标为基础,深度挖掘课程思政元素以实现思政目标和预期成果,并针对课程思政建设中的问题提出反思与建议,以期促进思政元素与教学内容的深度融合,保障课程思政建设效果,培养适合数智时代发展的高质量应用型物流专业人才。Comprehensively promoting the construction of course ideology and politics is a strategic initiative to implement the fundamental task of moral education.With the wide application of big data technology in logistics management,the logistics major is in urgent need of applied logistics statistics talents.This paper takes statistics,a basic course for logistics management majors,as an example,introduces the teaching objectives and the ideological and political objectives of the statistics course,and digs deeply into the ideological and political elements of the course in order to realize the ideological and political objectives and the expected results.It also puts forward reflections and suggestions on the problems in the construction of course ideology and politics,promotes the in-depth integration of ideological and political elements with the teaching content,guarantees the effect of the construction of course ideology and politics,and cultivates high-quality applied logistics professionals suitable for the development in the era of big data.
分 类 号:G420[文化科学—课程与教学论]
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