摘要
高校重点实验室是目前学科专业发展的中坚力量。为了更好地提升重点实验室培养创新人才水平,分析了传统学生培养模式和教学科研人才培养模式弊端,根据科研活动特殊性,以思想灵活,敢于摸索为核心,设计一种基于系统动力学的创新人才培养模式模型,把学生流、资金流、设施流等作为基础流,组建模型框架,利用计算机获得模型的坐标图像和二维图标,依照模型操作流程得到创新人才培养模式方案,即充分发挥重点实验室优势,组建高水平师资团队,制定系统培养计划,保证创新人才全面发展。实验结果表明,培养模式具有良好的有效性,在创新人才培养方面取得了较好成绩,对高校重点实验室改革具有一定参考价值。
The key laboratory in a university is the backbone of the development of important disciplines.In order to improve the level of cultivating innovative talents in the key laboratory,the disadvantages of traditional student training mode and teaching and scientific research personnel training mode are clarified.According to the particularity of scientific research activities,the key role of the key laboratory in cultivating innovative talents is analyzed with flexible thinking and bold exploration as the core.This paper then designs a model of innovative talents training mode based on system dynamics,which takes the flow of students,funds and facilities as the basic flow,establishes the model framework,obtains the coordinate image and two-dimensional icon of the model by computer,and obtains the innovative talent training mode scheme according to the operation process of the model,that is to give full play to the advantages of key laboratories,establish a high-level teaching team and formulate a department,unify the training plan to ensure the all-round development of innovative talents.The experimental results show that the training mode in this paper has good effectiveness,and has achieved good results in the cultivation of innovative talents,which has a certain reference value for the reform of key laboratories in Colleges and universities.
作者
吕磊
罗海峰
谢伟
王修善
LULei;LUO Haifeng;XIE Wei;WANG Xiushan(College of Mechanical and Electrical Engineering,Hunan Agricultural University,Changsha 410128,China)
出处
《实验室研究与探索》
CAS
北大核心
2021年第7期249-253,共5页
Research and Exploration In Laboratory
基金
湖南省科技厅重点实验室项目(2018TP1015)
湖南省教育厅研究生优质课程项目(湘教通【2019】334号-178)
湖南农业大学校级教研项目(湘农教发【2019】68号)。
关键词
高校
重点实验室
创新人才
培养模式
系统动力学
university
key laboratory
innovative talents
training mode
system dynamics