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数智赋能物流管理专业思政课教学效果研究

Research on the Teaching Effect of Ideological and Political Courses in Logistics Management Major Empowered by Digital Intelligence

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【作者】 陈立梅杨灿钟凯

【Author】 CHEN Limei;YANG Can;ZHONG Kai;School of Management, Nanjing University of Posts and Telecommunications;

【机构】 南京邮电大学管理学院

【摘要】 在教育数字化战略持续推进的背景下,数智技术为高校思想政治理论课教学改革提供了重要支撑。物流管理专业具有数字化、信息化和实践性强等特点,其思想政治理论课教学效果需在数智赋能背景下加以分析。基于针对物流管理专业学生的问卷调查数据,文中从平台互动性、教师教学投入和学习体验三个维度,对数智赋能思想政治理论课的学习效果进行统计分析。研究结果表明,学生整体上对数智赋能思想政治理论课持较为积极的评价态度,平台互动性评价相对较高,教师教学投入处于中上水平,学习体验仍有进一步提升的空间。研究结论可为物流管理专业思想政治理论课的数智化教学改进提供现实依据和实践参考。

【Abstract】 Against the backdrop of the continuous advancement of the digitalization strategy in education, digital intelligence technologies have provided significant support for the reform of ideological and political theory courses in colleges and universities. The logistics management major is characterized by digitalization, informatization, and strong practicality, and the teaching effectiveness of its ideological and political theory courses urgently needs to be analyzed under the context of digital intelligence empowerment. Based on the questionnaire survey data of students majoring in logistics management, this paper conducts a statistical analysis of the learning effect of ideological and political theory courses empowered by digital intelligence from three dimensions: platform interactivity, teacher teaching input, and learning experience. The research results show that students generally hold a relatively positive evaluation attitude towards digital intelligence-empowered ideological and political theory courses, with relatively high evaluations of platform interactivity, teacher teaching input at a medium to high level, and room for further improvement in learning experience. The research conclusions can provide practical basis and references for the digital intelligence teaching improvement of ideological and political theory courses in the logistics management major.

【基金】 2024江苏省教育科学规划重点课题“数智赋能思想政治理论课教学评价研究”(课题编号:JS/2024/ZD0111-04949);2023年江苏省高等教育教改项目“基于云网协同的课程教学智慧评价研究”(课题编号:2023JSJG773);2023年江苏高校哲学社会科学研究重大项目“云网协同视域下江苏中小企业数字化转型与价值链重构研究”(课题编号:2023SJZD027)
  • 【文献出处】 物流工程与管理 ,Logistics Engineering and Management , 编辑部邮箱 ,2026年04期
  • 【分类号】G641;G434;F250-4
  • 【下载频次】5
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