学科引领下电类测控技术与仪器专业实验教学改革提升学生创新能力  

作　　者：白洁[1] 陈玉[1] 王双 

机构地区：[1]西安交通大学电气工程学院,西安710049

出　　处：《高教学刊》2025年第S2期53-56,共4页Journal of Higher Education

基　　金：2020年度西安交通大学教学改革研究与实践项目“测控技术与仪器专业(电)培养新模式——以项目为牵引,增强感性认识,培养系统观念,提高创新与项目管理能力”(2008Y);2022年西安交通大学本科教学改革研究项目“学科引领、项目牵引、模式革新、科教融合——测控技术与仪器专业(电类)新时代应用型人才创新能力培养与实践”(2204Z)。

摘　　要：该研究关注电类测控专业实验教学改革,旨在通过学科引领,整合前沿科技与项目驱动模式重塑课程体系,以应对智能制造和物联网领域对实用创新人才的需求。研究以智能分拣机械臂系统为载体,融入跨学科内容如机器视觉与智能算法,指导学生全程参与项目开发,从方案讨论至硬件采购、技能实训、传感器集成直至多模块联调,实现部分智能分拣任务。经两届学生实证,改革取得良好的效果,但亦暴露出对datasheet理解、课程结构优化、技术参数掌握及调试技能等问题。故建议强化相关能力培养,以有效提升学生专业知识应用力及跨学科综合素养。This study focuses on the experimental teaching reform of electrical measurement and control majors,aiming to reshape the curriculum system through discipline-led integration of cutting-edge technology and project-driven mode to respond to the demand for practical and innovative talents in the fields of intelligent manufacturing and Internet of Things.The research takes intelligent sorting robotic arm system as a carrier,integrates interdisciplinary contents such as machine vision and intelligent algorithms,and guides students to participate in project development throughout the whole process,from programm discussion to hardware procurement,skills training,sensor integration until multi-module intermodulation,to achieve part of the intelligent sorting tasks.After two sessions of students'evidence,the reform has achieved good results,but also exposed the understanding of datasheet,course structure optimization,mastery of technical parameters and debugging skills and other issues.Therefore,it is recommended to strengthen the related ability training,in order to effectively enhance students'professional knowledge application and interdisciplinary comprehensive literacy.

关 键 词：实验教学改革 学科引领 智能分拣机械臂 创新能力培养 机器视觉 

分 类 号：G642[文化科学—高等教育学]