| 我国高等职业教育资源配置绩效评价研究——基于AHP-TOPSIS和SOM聚类模型的视角 |
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| 引用本文： | 蔡文伯,陈念念.我国高等职业教育资源配置绩效评价研究——基于AHP-TOPSIS和SOM聚类模型的视角[J].职业教育研究,2022(2). |
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| 作者姓名： | 蔡文伯 陈念念 |
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| 作者单位： | 石河子大学师范学院 |
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| 基金项目： | 国家自然科学基金项目“深度贫困地区教育精准扶贫政策绩效的测度与评价研究”(项目编号:71864032);新疆兵团社科基金项目“兵团教育精准扶贫成效与实现路径研究”(项目编号:18ZD04)。 |
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| 摘 要： | 从办学条件、教学及经费、学生发展、交流培训与服务4个维度选取了21个高等职业教育资源指标,构建了高等职业教育资源配置绩效评价指标体系。运用AHP-TOPSIS模型测算了我国30个省份2018年高等职业教育资源配置绩效的评价值,并利用SOM聚类分析,确定各省份高职教育资源配置绩效的等级。结果显示:纵向科研经费、对外交流和学生就业三种资源配置绩效最优,信息化教学宽带、年生均财政拨款、师生比和高职院校数量四种资源配置绩效最差;从省份中观层面来看,江苏省的高等职业资源配置绩效最优,广东、山东、浙江和北京次之;从区域宏观层面来看,东部地区高等职业教育资源配置绩效优异,中部地区资源配置绩效较差,西部和东北地区的资源配置绩效最差。
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| 关 键 词： | 高等职业教育 资源配置绩效 AHP-TOPSIS模型 SOM聚类 |
Research on the Performance Evaluation of Resource Allocation of Chinese Higher Vocational Education:Based on AHP-TOPSIS and SOM Clustering Perspective |
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| CAI Wen-bo,CHEN Nian-nian.Research on the Performance Evaluation of Resource Allocation of Chinese Higher Vocational Education:Based on AHP-TOPSIS and SOM Clustering Perspective[J].Vocational Education Research,2022(2). |
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| Authors: | CAI Wen-bo CHEN Nian-nian |
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| Institution: | (Shihezi University,Shihezi Xinjiang 832000,China) |
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| Abstract: | This research selects 21 higher vocational education resource indicators from four dimensions of school conditions, teaching and funding, student development, exchange training and services, and builds a performance evaluation index system for higher vocational education resource allocation. The AHP-TOPSIS method is used to calculate the evaluation value of the resource allocation performance of higher vocational education in 30 provinces in my country in 2018, and the SOM cluster analysis is used to determine the level of the resource allocation performance of higher vocational education in each province.The results show that from the perspective of micro indicators, the three resource allocations of vertical scientific research funding, foreign exchanges and student employment are the best, and the four resource allocations of information-based teaching broadband, annual financial allocation performance, teacher-student ratio and the number of higher vocational colleges are the worst;From the provincial meso level, Jiangsu Province has the best performance in resource allocation for higher vocational education, followed by Guangdong, Shandong, Zhejiang and Beijing;From a macro perspective, the performance of higher vocational education resource allocation in the eastern region is excellent, the performance of resource allocation in the central region is poor, and the performance of resource allocation in the western and northeastern regions is the worst. |
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| Keywords: | higher vocational education resource allocation performance AHP-TOPSI model SOM clustering |
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