基于可拓云耦合模型的本科生科研创新能力系统研究——以矿业高校为例

Systematic Research of Undergraduates’Scientific Research and Innovation Ability Based on Extension-cloud Coupling Model——Take Mining Universities for Instance

为分析评价我国矿业类高校本科生科研创新能力,以具有代表性的四所矿业高校为例,综合分析影响科研创新能力的因素,选取学习兴趣、专业实习经历、科研经费投入等18个指标构建指标体系;为了克服评价系统不相容性和指标分级模糊性对结果的影响,构建可拓云耦合评价模型,通过单指标云关联度与改进AHP权重计算综合云关联度,结合等级云图分析确定本科生科研创新能力所属等级。结果表明:四所高校本科生的科研创新能力整体上处于中等偏上水平,但在论文、专利、实习经历等方面相对薄弱,与我国高校实际情况相吻合,为高校本科生科研创新能力评价提供了一种新方法。

Taking the mining colleges and universities as an example,four representative mining universities are selected to analyze and evaluate the research and innovation ability of mining undergraduates.This paper analyzes the influential factors on research and innovation capability comprehensively,and 18 indicators involving learning interest,professional internship experience,research funding,etc.are selected to construct evaluation index system.The questionnaires are designed according to the evaluation index system and the reliability is verified by using Alpha reliability coefficient.In order to reduce the impact of the incompatibility of evaluation system and the fuzziness of indicators imposed on the classification result,the extension-cloud model is established to obtain comprehensive related degree by combining application of the single-index cloud association degree and the index weight of the improved AHP and then the classification of mining college undergraduates’scientific research and innovation ability is determined by the grade cloud.The results demonstrate that undergraduates’abilities are of the uppermiddle level as a whole,but not so good in the papers,patents,internship experience,etc.The results are in line with the actual situation of the universities students,which puts forward a new method of evaluating undergraduates’capability of scientific research and innovation in universities.