To construct the evaluation system of college students' learning process, there are three layers: target layer, criterion layer and sub-criterion layer. There are five first-level indicators in the criteria layer, which are the individuation of learning process, the individuation of learning analysis, the coupling of learning, the autonomy of learning process and the creativity of learning process. There are 17 secondary indicators in the sub-criteria layer. The establishment of a good hierarchical structure is the premise of using AHP to solve problems. The basis of analyzing problems is to build a multi-level structure by layering various influencing factors. To determine the relationship between the elements, and according to the controlling relationship of the upper layer to the factors of the lower layer, the influencing factors are hierarchical, and then the hierarchical structure model of the upper layer and the lower layer is constructed, the geometric average method is used to calculate the average of the experts. The geometric average method ensures the reciprocal character of the matrix. Six judgment matrices are obtained by sorting the data, using MATLAB tool to calculate the weight value of each layer index of each judgment matrix, and carry on the consistency test, obtain the weight value of each layer index, the judgment matrix has passed the consistency evaluation, to achieve the overall objectives of the system and put forward all the measures, decision-making programs.
Published in | Science Discovery (Volume 11, Issue 2) |
DOI | 10.11648/j.sd.20231102.11 |
Page(s) | 29-34 |
Creative Commons |
This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited. |
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Copyright © The Author(s), 2023. Published by Science Publishing Group |
Analytic Hierarchy Process, Student Learning Process Evaluation, Evaluation Indicators, Higher Education
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APA Style
Yu He, Wang Nana, Wang Xiujuan. (2023). Research on the Framework of the Evaluation System of College Students' Learning Process. Science Discovery, 11(2), 29-34. https://doi.org/10.11648/j.sd.20231102.11
ACS Style
Yu He; Wang Nana; Wang Xiujuan. Research on the Framework of the Evaluation System of College Students' Learning Process. Sci. Discov. 2023, 11(2), 29-34. doi: 10.11648/j.sd.20231102.11
AMA Style
Yu He, Wang Nana, Wang Xiujuan. Research on the Framework of the Evaluation System of College Students' Learning Process. Sci Discov. 2023;11(2):29-34. doi: 10.11648/j.sd.20231102.11
@article{10.11648/j.sd.20231102.11, author = {Yu He and Wang Nana and Wang Xiujuan}, title = {Research on the Framework of the Evaluation System of College Students' Learning Process}, journal = {Science Discovery}, volume = {11}, number = {2}, pages = {29-34}, doi = {10.11648/j.sd.20231102.11}, url = {https://doi.org/10.11648/j.sd.20231102.11}, eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.sd.20231102.11}, abstract = {To construct the evaluation system of college students' learning process, there are three layers: target layer, criterion layer and sub-criterion layer. There are five first-level indicators in the criteria layer, which are the individuation of learning process, the individuation of learning analysis, the coupling of learning, the autonomy of learning process and the creativity of learning process. There are 17 secondary indicators in the sub-criteria layer. The establishment of a good hierarchical structure is the premise of using AHP to solve problems. The basis of analyzing problems is to build a multi-level structure by layering various influencing factors. To determine the relationship between the elements, and according to the controlling relationship of the upper layer to the factors of the lower layer, the influencing factors are hierarchical, and then the hierarchical structure model of the upper layer and the lower layer is constructed, the geometric average method is used to calculate the average of the experts. The geometric average method ensures the reciprocal character of the matrix. Six judgment matrices are obtained by sorting the data, using MATLAB tool to calculate the weight value of each layer index of each judgment matrix, and carry on the consistency test, obtain the weight value of each layer index, the judgment matrix has passed the consistency evaluation, to achieve the overall objectives of the system and put forward all the measures, decision-making programs.}, year = {2023} }
TY - JOUR T1 - Research on the Framework of the Evaluation System of College Students' Learning Process AU - Yu He AU - Wang Nana AU - Wang Xiujuan Y1 - 2023/03/28 PY - 2023 N1 - https://doi.org/10.11648/j.sd.20231102.11 DO - 10.11648/j.sd.20231102.11 T2 - Science Discovery JF - Science Discovery JO - Science Discovery SP - 29 EP - 34 PB - Science Publishing Group SN - 2331-0650 UR - https://doi.org/10.11648/j.sd.20231102.11 AB - To construct the evaluation system of college students' learning process, there are three layers: target layer, criterion layer and sub-criterion layer. There are five first-level indicators in the criteria layer, which are the individuation of learning process, the individuation of learning analysis, the coupling of learning, the autonomy of learning process and the creativity of learning process. There are 17 secondary indicators in the sub-criteria layer. The establishment of a good hierarchical structure is the premise of using AHP to solve problems. The basis of analyzing problems is to build a multi-level structure by layering various influencing factors. To determine the relationship between the elements, and according to the controlling relationship of the upper layer to the factors of the lower layer, the influencing factors are hierarchical, and then the hierarchical structure model of the upper layer and the lower layer is constructed, the geometric average method is used to calculate the average of the experts. The geometric average method ensures the reciprocal character of the matrix. Six judgment matrices are obtained by sorting the data, using MATLAB tool to calculate the weight value of each layer index of each judgment matrix, and carry on the consistency test, obtain the weight value of each layer index, the judgment matrix has passed the consistency evaluation, to achieve the overall objectives of the system and put forward all the measures, decision-making programs. VL - 11 IS - 2 ER -