%0 Journal Article
%T 基于AHP–熵权TOPSIS法的河北省农业硕士专业学位研究生实践能力培养质量评价研究<br>Research on Quality Evaluation of Practical Ability Training of Agricultural Master’s Degree Postgraduates in Hebei Province Based on AHP-Entropy Weight TOPSIS Methods
%A 李逸波
%A 谷雨浓
%A 赵君彦
%J Advances in Education
%P 1359-1369
%@ 2160-7303
%D 2024
%I Hans Publishing
%R 10.12677/ae.2024.1461085
%X 在当今乡村振兴的发展中，农业硕士专业学位研究生实践能力培养是高层次应用型人才培养的关键环节之一，通过调查与评价农业硕士专业学位研究生实践能力培养质量，可以找出其中的关键制约点与存在的问题，进而优化培养方案。本文从实践基地、导师指导、课程教学三个方面构建河北省农业硕士专业学位研究生实践能力培养质量评价指标体系，利用AHP–熵权法对评价指标权重赋值，采用TOPSIS法对农业硕士专业学位研究生实践能力培养质量展开综合评价。结果显示，河北省农业硕士专业学位研究生实践能力培养体系整体上显示较好，但是仍然有需要完善改进之处。建议健全“校企协同”培养机制、加强教师队伍建设、改进实践课程教学模式。<br />
In the current development of rural revitalization, the cultivation of practical abilities for agricultural master’s degree postgraduates is one of the key links in cultivating high-level applied talents. Through investigating and evaluating the quality of practical ability training of agricultural master’s degree postgraduates, it could find out the key constraints and existing problems and optimize the training program. This paper constructed the evaluation index system of practical ability cultivation quality of agricultural master’s degree postgraduates in Hebei Province from practice base, tutor guidance and course teaching. AHP and entropy weight methods was used to assign the evaluation index weight, and TOPSIS method was used to comprehensively evaluate the practical ability cultivation quality of agricultural master’s degree postgraduates in this paper. The results showed that the practical ability training system of agricultural master’s degree postgraduates in Hebei Province is good on the whole, but there are still some improvements to be made. It is suggested to improve the training mechanism of “school-enterprise collaboration”, strengthen the teaching staff construction and improve the teaching mode of practical courses.
%K 农业硕士专业学位研究生，实践能力培养，层次分析法，熵权–TOPSIS法<br>Agricultural Master’s Degree Postgraduates
%K Practical Ability Training
%K Analytic Hierarchy Process (AHP)
%K Entropy Weight-TOPSIS Methods
%U http://www.hanspub.org/journal/PaperInformation.aspx?PaperID=90752