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新文科背景下数智赋能物流管理课程“多跨融合”教学改革探索与实践

Exploration and Practice of Teaching Reform for Data-Intelligence Drives Cross-border Convergence of Logistics Management Courses in the Context of New Libieral Arts
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摘要 新文科建设要求高等教育要着力推进多学科交叉融合教育教学,物流管理专业在教学改革发展过程中,需强化与其他学科、专业有机交叉融合,以满足新文科建设对专业人才培养的新要求。以物流课程为教学范例,就物流课程数智化教学体系建设、慕课教学资源与实际教学对接有效性、教学内容跨学科知识融合层次、跨学科教学团队建设等方面,提出搭建“多跨融合”课程资源信息平台为依托,构建多元融合的教学体系为主线,以跨专业融合的师资团队为助力的教学改革措施,以期为高校教育教学改革创新发展提供参考。 The construction of the new liberal arts requires that higher education should focus on promoting the interdisciplinary integration of education and teaching,in the process of teaching reform and development,logistics management major needs to strengthen the organic cross-integration with other disciplines and specialties to meet the new requirements of the new liberal arts construction for professional personnel training.The article takes logistics course as teaching example,it was found that the logistics construction of data-intelligent curriculum system is imperfect,and the existing problems in the teaching process,such as the incomplete integration of network teaching resources and actual teaching,the need to strengthen the integration level of interdisciplinary knowledge in teaching content,the strengthening construction of interdisciplinary teaching team,then,it puts forward the teaching reform measures of building a"multi-cross integration"curriculum resource information platform,constructing a multi-integration teaching system as the main line,and taking the cross-professional integration of teacher teams as the help,so as to provide reference and support for the innovative development of education and teaching reforms in university.
作者 陈改改 Chen Gaigai(Ningbo University of Finance&Economics,Ningbo Zhejiang 315175)
机构地区 宁波财经学院
出处 《对外经贸》 2024年第1期112-115,共4页 FOREIGN ECONOMIC RELATIONS & TRADE
基金 宁波市教科规划课题“新文科背景下数智赋能物流管理课程‘多跨融合’的教学改革探索与实践”(项目编号:2023YGH034)。
关键词 物流管理课程 数智赋能 “多跨融合” 教学改革 Logistics M anagement Courses Cross-border Convergence Data-intelligence Empowerment Teaching Reform
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