数智赋能农业机械化及其自动化专业人才培养模式探究  被引量:1

Inquiry into Digitally-empowered Talent Training Modes for Agricultural Mechanization and Automation Majors

在线阅读下载全文

作  者:陈泓睿 韩志航 王霜[2] 梁剑[2] 王福林 李青涛 刘环宇 CHEN Hongrui;HAN Zhihang;WANG Shuang

机构地区:[1]西华大学食品与生物工程学院,成都610039 [2]西华大学现代农业装备研究院,成都610039

出  处:《智慧农业导刊》2024年第12期16-19,共4页JOURNAL OF SMART AGRICULTURE

基  金:教育部新农科研究与实践项目(2020159);四川省新农科研究与改革实践项目(2020471);西华大学教育教学改革研究项目(xjjg2023054,xjjg2023056)。

摘  要:针对数智赋能农业机械化及其自动化专业人才培养模式中实践教学环节、师资力量优化、跨学科融合、教育评价体系仍需完善等问题,分析数智赋能农业机械化及其自动化专业人才培养模式的核心内涵,提出理论与实践相融合,建设高质量实践平台、强化师资队伍,建立高素质教学团队、推动跨学科融合教育,优化理论课程体系、健全教育评价体系,提高课程教学质量等方法,对数智赋能农业机械化及其自动化专业人才培养模式进行新探索,并对西华大学推进数智赋能农业机械化与自动化专业人才培养方面取得的改革成果进行阐述,以期建立多元化、多层次、多类型适应农业机械化及其自动化专业人才培养模式,提高行业内竞争力。Aiming at the problems of practical teaching,optimization of teachers,interdisciplinary integration,and the need to improve the educational evaluation system in the talent training mode of digital intelligence-empowered agricultural mechanization and automation,this paper analyzes the core connotation of the talent training mode of agricultural mechanization and automation,and puts forward the integration of theory and practice,building a high-quality practice platform and strengthening teachers.Establish a high-quality teaching team,promote interdisciplinary education,optimize the theoretical curriculum system,improve the educational evaluation system,improve the course teaching quality and other methods,this paper makes a new exploration on the talent training mode of agricultural mechanization and automation,and expounds the reform achievements of Xihua University in promoting the training of agricultural mechanization and automation professionals.In order to establish a diversified,multi-level,multi-type to adapt to agricultural mechanization and automation professional training model,and improve the competitiveness of the industry.

关 键 词:数智赋能 农业工程 专业人才 创新培养 农业机械化 农业自动化 

分 类 号:C961[经济管理—人力资源管理]

 

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