新高考改革下的高中学科教师生涯规划指导胜任力评价模型之验证研究——一种基于融合Python语言与VIKOR方法的多准则决策模型之效用检证法

Study on the Verification of Competency Assessment Model for Subject Teachers’ Career Planning Guidance in Senior High School under the New College Entrance Examination Reform—A Utility Verification Method for Multi-Criteria Decision Model Based on Python Language and VIKOR Method

摘要: 本文藉由陈仰平于2022年研发的一种基于融合Python语言与VIKOR方法的多准则决策模型之效用检证法来验证胜任力评价模型之有效性。被检证样本模型择自华东师范大学万恒教授与王芳同学于2021建构的普通高中教师生涯指导胜任力评价指标体系。VIKOR自评问卷填答教师来自北京某生涯教育研究机构内正在参训的服务于高中学校的11位生涯导师。研究发现：1) 基于融合Python语言与VIKOR方法的多准则决策模型之效用检证法在检证胜任力评估模型方面具有一定的实用性、智能性与科学性；2) 不同决策(扰动)系数下的VIKOR法未必能提升以多准则决策方法建构的胜任力评估模型的决策理性；3) 在采多准则决策方法建构的胜任力评估模型应用于实务的过程中，若其绩效数据源自被评估对象的自评问卷，则被评估对象的自我效能感可能导致评估模型的运算结果呈现逆序悖论，从而严重脱离实际。本文建议：1) 为降低问卷自评者的自我效能感给胜任力评价模型运算带来的失真影响，可引入他评的方式，并结合自评，以提升数据与实务的匹配度；2) 采多准则决策分析技术建构的胜任力模型可藉由陈仰平于2022年所研发的基于融合Python语言与VIKOR方法的多准则决策模型之效用检证法来快速检证模型的有效性与实用性。

Abstract: In this paper, the validity of the competency assessment model was verified by the utility verification method of a multi-criteria decision model based on the integration of Python language and VIKOR method developed by Yangping Chen in 2022. The verified sample model was selected from a competency assessment index system for teachers’ career guidance in an ordinary high school constructed by Professor Heng Wan and his student Fang Wang from East China Normal University in 2021. The teachers who answered VIKOR’s self-evaluation questionnaire were 11 career guidance teachers who were participating in training in a career education research institution in Beijing and serving high schools. The results showed that: 1) The utility verification method of the multi-criteria decision model based on the integration of Python language and VIKOR method has certain practicability, intelligence and scientificity in verifying the competency assessment model. 2) VIKOR method under different decision (disturbance) coefficients may not improve the decision-making rationality of the competency assessment model constructed by the multi-criteria decision-making method. 3) In the process of applying the competency assessment model constructed by the multi-criteria decision-making method to practice, if its performance data comes from the self-assessment of the evaluated object, the object’s self-efficacy may lead to the inversion paradox of the calculation results of the assessment model, which is seriously out of practice. This paper suggests that: 1) In order to reduce the distortion effect of self-efficacy of self-evaluators on the operation of the competency assessment model, an external assessment could be considered to introduce, combined with self-assessment, to improve the matching degree between data and practice. 2) The competency model constructed by adopting the multi-criteria decision analysis technology can be quickly verified by the utility verification method of the multi-criteria decision model based on the integration of Python language and VIKOR method developed by Yangping Chen in 2022.