AI人机协同学习模式教学改革研究——以《物流系统规划与设计为例》  

Research on the Teaching Reform of AI Human-Computer Collaborative Learning Mode——A Case Study of Logistics System Planning and Design

在线阅读下载全文

作  者:王晓雅 WANG Xiao-ya(Yangling Vocational Technical College,Xianyang 712100,China)

机构地区:[1]杨凌职业技术学院,陕西咸阳712100

出  处:《物流工程与管理》2024年第9期120-123,共4页Logistics Engineering and Management

基  金:陕西省教育科学规划课题《乡村振兴背景下高职院校数智化人才培养路径研究》(SGH23Q0411);杨凌职业技术学院2024年院内教改项目(JG24070);《杨凌职业技术学院》2023年院内教改项目(JG23087);杨凌职业技术学院2022年院内科技创新项目(ZK22-77)。

摘  要:文中旨在探讨AI人机协同学习模式在《物流系统规划与设计》课程教学中的应用。该课程作为物流管理专业的核心课,涵盖了物流系统规划与设计的基本理论、应用方法和实践技能,主要培养学生的系统规划能力和创新思维。针对传统教学模式中存在的如教育理念滞后、课程内容与企业实际需求脱节、教育资源不足等问题,提出了基于AI人机协同学习模式的改革方案。该方案通过引入人工智能技术,实现教师与学生的协同学习。通过对改革前后的教学效果对比分析,发现AI人机协同学习模式在提高学生的学习效果和效率、提升课堂满意度、深化思政融合和完善考核体系等方面具有显著作用。The purpose of this paper is to explore the application of AI human-computer collaborative learning mode in the teaching of Logistics System Planning and Design.As the core course of logistics management,this course covers the basic theories,application methods and practical skills of logistics system planning and design,and mainly cultivates students system planning ability and innovative thinking.In view of the problems existing in the traditional teaching mode,such as the lag of educational concepts,the disconnection between curriculum content and the actual needs of enterprises,and the lack of educational resources,a reform plan based on AI human-computer collaborative learning mode was proposed.The solution introduces artificial intelligence technology to achieve collaborative learning between teachers and students.Through the comparative analysis of the teaching effect before and after the reform,it is found that the AI human-computer collaborative learning mode has a significant role in improving the learning effect and efficiency of students,improving classroom satisfaction,deepening the integration of ideology and politics,and improving the assessment system.

关 键 词:AI 人机协同 教学改革 物流系统规划与设计 

分 类 号:G434[文化科学—教育学]

 

参考文献:

正在载入数据...

 

二级参考文献:

正在载入数据...

 

耦合文献:

正在载入数据...

 

引证文献:

正在载入数据...

 

二级引证文献:

正在载入数据...

 

同被引文献:

正在载入数据...

 

相关期刊文献:

正在载入数据...

相关的主题
相关的作者对象
相关的机构对象