本科人才培养方案的评价模型构建——以国家一流专业自动化为例

【摘要】 新时代我国高等教育迈向高质量发展阶段，针对《普通高等学校本科专业类教学质量国家标准》下如何评估高校人才培养方案制定的合理性问题，建立模糊层次分析综合评价模型。首先将人才培养方案对标《国标》细化为三个层次、九项指标，通过抽样统计分析得到各项指标的重要性程度，采用正互反矩阵求取指标权重。通过问卷调查得到不同维度的匹配关系，对匹配关系进行模糊评价得出每项指标与国标的量化匹配度，最后采用线性综合评价法得到对标国标的人才培养方案合理性评价得分。构建的模型对多所高校的国家级一流专业自动化人才培养方案进行验证，其评价得分符合学校教育评估结果，该模型可作为教育教学审核评估中各高校人才培养方案合理性的评价手段，为科学评价人才培养方案质量提供有效方法。更多还原

【Abstract】 In the new era, higher education in China has entered a stage of high-quality development. How to evaluate the rationality of undergraduate talent training programs under national quality standards is difficult subject, this paper establishes a comprehensive evaluation model of fuzzy analytic hierarchy process. Firstly, the talent training programs is refined into three levels and nine indicators based on the national standard. The importance of each indicator is obtained through sampling statistical analysis, and the weights of the indicators are calculated using a positive reciprocal matrix. Using a questionnaire survey to obtain matching relationships from different dimensions, the quantitative matching degree between each indicator and the national standard is obtained through fuzzy evaluation of the matching relationships. Finally, a linear comprehensive evaluation method is used to obtain the rationality evaluation score of the talent training programs compared to the national standards. The constructed model was used to verify and analyze the talent training programs for automation majors in multiple universities, and its evaluation scores were in line with the educational evaluation results. This model can be used as one of the evaluation methods for the rationality evaluation of talent training programs in high education.更多还原