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Research on Learning Evaluation of College Students Based on AHP and Fuzzy Comprehensive Evaluation
The aim of this paper is to propose a scientific and practical evaluation method for college students' learning evaluation. The students' learning experience and harvest are the ultimate embodiment of colleges teaching quality. Considering the multilevel and fuzzy characteristics of learni...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Hindawi
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9666042/ https://www.ncbi.nlm.nih.gov/pubmed/36397788 http://dx.doi.org/10.1155/2022/9160695 |
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author | Wu, Henan Sun, Xiaorui Li, Dejun Zhao, Yan |
author_facet | Wu, Henan Sun, Xiaorui Li, Dejun Zhao, Yan |
author_sort | Wu, Henan |
collection | PubMed |
description | The aim of this paper is to propose a scientific and practical evaluation method for college students' learning evaluation. The students' learning experience and harvest are the ultimate embodiment of colleges teaching quality. Considering the multilevel and fuzzy characteristics of learning evaluation, a novel college evaluation method is put forward based on the analytic hierarchy process and fuzzy comprehensive evaluation. The flow chart and index system for college students' learning evaluation are designed. Meanwhile, the weight of the evaluation index and the calculation steps of fuzzy evaluation is demonstrated and applied actually. The results show that the method is practical which has advantages over the simple analytic hierarchy process. |
format | Online Article Text |
id | pubmed-9666042 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Hindawi |
record_format | MEDLINE/PubMed |
spelling | pubmed-96660422022-11-16 Research on Learning Evaluation of College Students Based on AHP and Fuzzy Comprehensive Evaluation Wu, Henan Sun, Xiaorui Li, Dejun Zhao, Yan Comput Intell Neurosci Research Article The aim of this paper is to propose a scientific and practical evaluation method for college students' learning evaluation. The students' learning experience and harvest are the ultimate embodiment of colleges teaching quality. Considering the multilevel and fuzzy characteristics of learning evaluation, a novel college evaluation method is put forward based on the analytic hierarchy process and fuzzy comprehensive evaluation. The flow chart and index system for college students' learning evaluation are designed. Meanwhile, the weight of the evaluation index and the calculation steps of fuzzy evaluation is demonstrated and applied actually. The results show that the method is practical which has advantages over the simple analytic hierarchy process. Hindawi 2022-11-08 /pmc/articles/PMC9666042/ /pubmed/36397788 http://dx.doi.org/10.1155/2022/9160695 Text en Copyright © 2022 Henan Wu et al. https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Research Article Wu, Henan Sun, Xiaorui Li, Dejun Zhao, Yan Research on Learning Evaluation of College Students Based on AHP and Fuzzy Comprehensive Evaluation |
title | Research on Learning Evaluation of College Students Based on AHP and Fuzzy Comprehensive Evaluation |
title_full | Research on Learning Evaluation of College Students Based on AHP and Fuzzy Comprehensive Evaluation |
title_fullStr | Research on Learning Evaluation of College Students Based on AHP and Fuzzy Comprehensive Evaluation |
title_full_unstemmed | Research on Learning Evaluation of College Students Based on AHP and Fuzzy Comprehensive Evaluation |
title_short | Research on Learning Evaluation of College Students Based on AHP and Fuzzy Comprehensive Evaluation |
title_sort | research on learning evaluation of college students based on ahp and fuzzy comprehensive evaluation |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9666042/ https://www.ncbi.nlm.nih.gov/pubmed/36397788 http://dx.doi.org/10.1155/2022/9160695 |
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