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CN-121981615-A - Obstetric and religion fusion quality evaluation method based on CRITIC subjective and objective combination

CN121981615ACN 121981615 ACN121981615 ACN 121981615ACN-121981615-A

Abstract

The invention provides a yield-teaching fusion quality evaluation method based on CRITIC subjective and objective combination, which belongs to the technical field of education data analysis, and comprises the steps of constructing an evaluation system of three primary indexes of investment, process and output and corresponding secondary indexes based on an IPO model; the method comprises the steps of carrying out outlier processing and standardization on original data, calculating objective weights by adopting a CRITIC method, determining subjective weights by combining an expert consensus method, solving annual optimal combination weights by combining an optimization model, generating target evaluation period dynamic weights based on weight time sequence prediction and development stage correction, calculating comprehensive scores of all evaluation objects, and generating a multi-dimensional evaluation report. According to the invention, through subjective and objective combination weighting balance data rule and professional consensus, the evaluation requirements of different development stages are adapted by means of dynamic weights, the evaluation accuracy and the guidance are effectively improved, the production and teaching fusion quality evaluation, diagnosis and improved closed-loop management are realized, and scientific decision basis can be provided for education management departments, institutions and enterprises.

Inventors

  • YANG XIAOZHEN

Assignees

  • 浙江工贸职业技术学院(浙江工贸技师学院)
  • 浙江师范大学

Dates

Publication Date
20260505
Application Date
20260407

Claims (10)

  1. 1. A method for evaluating the quality of birth and education fusion based on CRITIC subjective and objective combination is characterized by comprising the following steps: S1, constructing an evaluation system comprising three primary indexes of input, process and output based on an IPO model framework, wherein a plurality of measurable and verifiable secondary indexes are arranged under each primary index; S2, acquiring annual original data of an object to be evaluated under the evaluation system, constructing an annual original data matrix, and performing standardization processing to obtain a standardization matrix; S3, calculating objective weights based on CRITIC method, calculating information quantity of each secondary index by analyzing standardized matrix and combining index contrast intensity and index conflict, and carrying out normalization processing on the information quantity to obtain annual CRITIC objective weights; s4, collecting domain expertise through expert consensus method to form reference subjective weight reflecting education quality core value; S5, constructing an annual combination optimization model, setting balance coefficient to adjust relative importance of the annual combination optimization model with the objective data rule and subjective professional consensus as targets, and calculating to obtain annual optimal combination weight; s6, obtaining optimal combination weights of a plurality of continuous years to form a weight time sequence, predicting the weights of the target evaluation period and correcting the development period, and generating final dynamic weights of the target evaluation period after fusion; And S7, calculating the annual comprehensive score of each object to be evaluated through weighted summation based on the final dynamic weight and the standardized matrix, and representing the production and teaching fusion quality level of the corresponding year.
  2. 2. The method for evaluating the quality of the product teaching fusion based on CRITIC subjective and objective combinations according to claim 1, wherein in step S1: the second-level indexes corresponding to the input-type first-level indexes comprise annual average financial money shifting level, a proportion of advanced professional technical duty specialized teachers, a number of practical teaching tools in a school of life average, and a practical teaching equipment value in the school provided by an enterprise; the secondary indexes corresponding to the primary indexes of the process class comprise annual payment of the teacher class consideration of the part of the enterprise and annual practice special expenditure, and graduation satisfaction within three years of graduation; The secondary indexes corresponding to the primary indexes of the output class comprise transverse technical service payouts, technical property trade incomes, non-academic training payouts and graduation three-year promotion proportions.
  3. 3. The method for evaluating the fusion quality of labor and education based on CRITIC subjective and objective combinations according to claim 1 is characterized in that in the step S2, an extremum method is adopted in the standardization process, an outlier processing step is further included before the standardization process, and abnormal data is identified by adopting a quartile range method.
  4. 4. The method for evaluating the quality of the product teaching fusion based on CRITIC subjective and objective combinations according to claim 1, wherein in step S3, the index comparison intensity is represented by a standard deviation of each secondary index data, the inter-index conflict is derived by pearson correlation coefficients of each secondary index and all other secondary indexes, and the information quantity is calculated by a product of the index comparison intensity and the inter-index conflict.
  5. 5. The method for producing teaching fusion quality evaluation based on CRITIC subjective and objective combinations according to claim 1, wherein in step S4, the expert consensus method is an improved analytic hierarchy process or a delta film process or an expert direct scoring method.
  6. 6. The method for evaluating the production and teaching fusion quality based on CRITIC subjective and objective combination according to claim 1 is characterized in that in the step S5, the default value range of the balance coefficient is 0.2-0.4, the principle that the objectivity is main and the subjectivity is auxiliary is reflected, the constraint condition of the annual combination optimization model is that the sum of the weights of all secondary indexes is 1, and the weights of all indexes are non-negative.
  7. 7. The method for producing teaching fusion quality evaluation based on CRITIC subjective and objective combinations according to claim 1, wherein in step S6, the method comprises the following sub-steps: S61, modeling and predicting a weight time sequence, collecting optimal combination weights of a plurality of continuous years to form weight time sequences corresponding to the secondary indexes, and predicting the weights of the secondary indexes in a target evaluation period by adopting a trend prediction model to obtain predicted weights; S62, calculating and dividing the development index into stages, calculating to obtain an annual development index based on the average value of standardized values of three primary indexes of input, process and output of a target evaluation period, and dividing the development stage of education quality according to the numerical interval of the development index; S63, carrying out weight targeted correction, namely determining corresponding stage adjustment factors according to the development stages of the division, and carrying out stage adaptive correction on the predicted weight by combining the sensitivity characteristics of each secondary index to obtain corrected weight; S64, dynamic weight fusion, wherein a preset fusion mode is adopted to carry out fusion calculation on the predicted weight and the correction weight, and final dynamic weights of the secondary indexes in the target evaluation period are generated.
  8. 8. The method for producing teaching fusion quality evaluation based on CRITIC subjective and objective combinations according to claim 7, wherein in step S61, the trend prediction model is an exponential smoothing model, and the smoothing coefficient of the model is determined by minimizing the historical prediction error.
  9. 9. The method for producing teaching fusion quality evaluation based on CRITIC subjective and objective combinations according to claim 7, wherein in step S62, the development stage includes an initial stage, a growth stage and a maturity stage, wherein the development index is less than 0.3 and is the initial stage, the development index is between 0.3 and 0.6 and is the growth stage, and the development index is not less than 0.6 and is the maturity stage; in step S63, the phase adjustment factor is set to +0.1 for the initial period, 0 for the growth period and-0.1 for the mature period; In step S64, the preset fusion mode is weighted average, and the fusion coefficient range is 0.4-0.6.
  10. 10. The method for evaluating the quality of the prenatal education fusion based on CRITIC subjective and objective combinations as claimed in claim 1, further comprising the following steps: And S8, generating a multi-dimensional evaluation report, wherein the multi-dimensional evaluation report comprises annual comprehensive scores and ranks of all objects to be evaluated, educational quality development stage diagnosis results of corresponding years, key secondary index performance analysis, dynamic weight evolution trend and targeted improvement suggestions formed based on the information.

Description

Obstetric and religion fusion quality evaluation method based on CRITIC subjective and objective combination Technical Field The invention relates to the technical field of education data analysis, in particular to a production and education fusion quality evaluation method based on CRITIC subjective and objective combination. Background The production and education integration is a core mode of high-quality development of vocational education, and is widely applied to scenes such as professional institutions and enterprises for collaborative educating, technical research and development, social services and the like. The quality evaluation is a key means for measuring the cooperation effect and optimizing the resource allocation, and provides decision basis for education management departments, institutions and enterprises through comprehensive evaluation on talent culture, resource input, result output and the like. The conventional production and teaching fusion quality evaluation method has the obvious defects that a subjective weighting method is easily influenced by expert experience and preference, the stability of an evaluation result is insufficient, the objective weighting method ignores the correlation among indexes and can possibly realize weight distribution which is inconsistent with professional cognition, and most of evaluation models adopt static weights and cannot adapt to the change of the importance of the indexes in different development stages of production and teaching fusion, so that the evaluation result is disjointed from the actual situation, and the improvement direction is difficult to accurately guide. Disclosure of Invention The invention aims to overcome the defects and shortcomings of the prior art and provide a production and teaching fusion quality evaluation method based on CRITIC subjective and objective combination. The application provides a production and education fusion quality evaluation method based on CRITIC subjective and objective combination, which is characterized by comprising the following steps: S1, constructing an evaluation system comprising three primary indexes of input, process and output based on an IPO model framework, wherein a plurality of measurable and verifiable secondary indexes are arranged under each primary index; S2, acquiring annual original data of an object to be evaluated under the evaluation system, constructing an annual original data matrix, and performing standardization processing to obtain a standardization matrix; S3, calculating objective weights based on CRITIC method, calculating information quantity of each secondary index by analyzing standardized matrix and combining index contrast intensity and index conflict, and carrying out normalization processing on the information quantity to obtain annual CRITIC objective weights; s4, collecting domain expertise through expert consensus method to form reference subjective weight reflecting education quality core value; S5, constructing an annual combination optimization model, setting balance coefficient to adjust relative importance of the annual combination optimization model with the objective data rule and subjective professional consensus as targets, and calculating to obtain annual optimal combination weight; s6, obtaining optimal combination weights of a plurality of continuous years to form a weight time sequence, predicting the weights of the target evaluation period and correcting the development period, and generating final dynamic weights of the target evaluation period after fusion; And S7, calculating the annual comprehensive score of each object to be evaluated through weighted summation based on the final dynamic weight and the standardized matrix, and representing the production and teaching fusion quality level of the corresponding year. In some embodiments, in step S1: the second-level indexes corresponding to the input-type first-level indexes comprise annual average financial money shifting level, a proportion of advanced professional technical duty specialized teachers, a number of practical teaching tools in a school of life average, and a practical teaching equipment value in the school provided by an enterprise; the secondary indexes corresponding to the primary indexes of the process class comprise annual payment of the teacher class consideration of the part of the enterprise and annual practice special expenditure, and graduation satisfaction within three years of graduation; The secondary indexes corresponding to the primary indexes of the output class comprise transverse technical service payouts, technical property trade incomes, non-academic training payouts and graduation three-year promotion proportions. In some embodiments, in step S2, the normalization process adopts an extremum method, and the method further comprises an outlier processing step before the normalization process, and the method adopts a quarter-bit distance method to identify the