工程专业认证背景下电子技术实验双驱动式评价方法

A Dual-Driven Evaluation Method for Electronic Technology Experiments under the Framework of Engineering Education Accreditation

  • 摘要: 针对传统电子技术实验成绩评价存在的权重分配主观性、能力导向模糊等问题,针对《工程教育认证标准》中“解决复杂工程问题的能力”要求,构建涵盖工程实验操作能力、技术方法应用能力、复杂问题解决能力及工程职业素质的多维度能力画像评价体系,实现对学生的全流程能力评价。提出基于层次分析法−熵权法(AHP-entropy)的组合赋权模型,利用层次分析法(AHP)量化实验教学目标的定性权重,通过熵权法(entropy)挖掘实验过程数据的客观信息,优化主客观权重冲突,形成动态均衡的组合权重分配策略。以试验班学生成绩为例,对比组合权重法与单一评价法。结果显示,由组合权重法计算得的成绩区分度较主观/客观法更高、更具科学性,为实验课程工程认证持续改进提供了量化依据。

     

    Abstract: To address the subjectivity in weight allocation and the ambiguity of competence orientation in traditional electronic technology experiment performance evaluations, and to meet the “ability to solve complex engineering problems” requirement in the “Engineering Education Accreditation Standards,” this paper constructs a multi-dimensional competence profile evaluation system encompassing engineering experiment operation ability, technical method application ability, complex problem-solving ability, and engineering professional quality, thereby achieving full-process competence evaluation of students. Furthermore, it proposes a combined weighting model based on analytic hierarchy process(AHP)-entropy, utilizing the AHP to quantify the qualitative weights of experimental teaching objectives and the Entropy Weight Method to extract objective information from experimental process data, thereby optimizing the conflict between subjective and objective weights and forming a dynamically balanced combined weight allocation strategy. Taking the grades of students in an experimental class as an example, the combined weighting method is compared with the single evaluation method. The results demonstrate that the grades calculated by the combined weighting method exhibit higher discrimination and are more scientific than those obtained through subjective or objective methods, providing quantitative evidence for the continuous improvement of engineering accreditation in experimental courses.

     

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