Multi-dimensional evaluation method of art teaching quality based on analytic hierarchy process

In order to optimize the evaluation of art teaching quality under the environment of art value integration and professional development community, a multi-dimensional evaluation method of art teaching quality under the environment of art value integration and professional development community is proposed based on AHP.Establish a hierarchical analysis model of the characteristic distribution of art teaching quality under the environment promoted by art value integration and professional development community, analyze the quantitative characteristics of the hierarchical constraint indicators of art teaching quality under the environment promoted by art value integration and professional development community, obtain the quantitative table of the state distribution of constraint indicators of art teaching quality evaluation, formulate the evaluation scale, and construct the cluster model parameters of multidimensional evaluation of art teaching quality by adopting the analytic hierarchy process structure.Through the analysis of quantitative index characteristics of art teaching quality evaluation, the optimization design of teaching activities and teaching methods for art teaching quality evaluation is realized by using the big data evolution cluster analysis method.In the multi-dimensional hierarchical structure parameter model, the parameter configuration of teaching quality indicators is realized, and the evaluation characteristic index fusion clustering processing is carried out on the parameter configuration results, so as to form the classification prediction and index analysis model of art teaching quality.According to the hierarchical distribution density and grid clustering of art teaching quality indicators, the art value integration and professional development community promotion environment can realize the art teaching quality evaluation.The empirical analysis results show that the quantitative analysis ability of art teaching quality evaluation with this method is strong, and the evaluation results are accurate and reliable, which improves the reliability and confidence level of art teaching quality evaluation under the environment of art value integration and professional development community.

Publication Details

Journal
Journal of Combinatorial Mathematics and Combinatorial Computing
Published
2025-04-18
DOI
https://doi.org/10.61091/jcmcc127b-245
Primary Topic
Digital Media and Visual Art
Type
article
Field-Weighted Citation Impact
0.00

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Multi-dimensional evaluation method of art teaching quality based on analytic hierarchy process

Journal of Combinatorial Mathematics and Combinatorial Computing
Digital Media and Visual Art
article

Multi-dimensional evaluation method of art teaching quality based on analytic hierarchy process

article en

Abstract

In order to optimize the evaluation of art teaching quality under the environment of art value integration and professional development community, a multi-dimensional evaluation method of art teaching quality under the environment of art value integration and professional development community is proposed based on AHP.Establish a hierarchical analysis model of the characteristic distribution of art teaching quality under the environment promoted by art value integration and professional development community, analyze the quantitative characteristics of the hierarchical constraint indicators of art teaching quality under the environment promoted by art value integration and professional development community, obtain the quantitative table of the state distribution of constraint indicators of art teaching quality evaluation, formulate the evaluation scale, and construct the cluster model parameters of multidimensional evaluation of art teaching quality by adopting the analytic hierarchy process structure.Through the analysis of quantitative index characteristics of art teaching quality evaluation, the optimization design of teaching activities and teaching methods for art teaching quality evaluation is realized by using the big data evolution cluster analysis method.In the multi-dimensional hierarchical structure parameter model, the parameter configuration of teaching quality indicators is realized, and the evaluation characteristic index fusion clustering processing is carried out on the parameter configuration results, so as to form the classification prediction and index analysis model of art teaching quality.According to the hierarchical distribution density and grid clustering of art teaching quality indicators, the art value integration and professional development community promotion environment can realize the art teaching quality evaluation.The empirical analysis results show that the quantitative analysis ability of art teaching quality evaluation with this method is strong, and the evaluation results are accurate and reliable, which improves the reliability and confidence level of art teaching quality evaluation under the environment of art value integration and professional development community.

Journal of Combinatorial Mathematics and Combinatorial ComputingVol. 127b
Department of Education, Fujian Province
Quality Education
Openalex Percentile: Top 86%
Digital Media and Visual Art
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