Applying Statistical Analysis Methods to Study the Key Factors of Innovative Curriculum Systems in Teacher Education
Based on analyzing the curriculum of teacher education in colleges and universities, this paper proposes the key factors of the innovative curriculum system of teacher education, i.e., the innovation of teacher curriculum and teaching materials. Based on the method of correlation analysis to constru...
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| Format: | Article |
| Language: | English |
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Sciendo
2024-01-01
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| Series: | Applied Mathematics and Nonlinear Sciences |
| Subjects: | |
| Online Access: | https://doi.org/10.2478/amns.2023.2.00999 |
| _version_ | 1797340619110088704 |
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| author | Huang Xiaoling |
| author_facet | Huang Xiaoling |
| author_sort | Huang Xiaoling |
| collection | DOAJ |
| description | Based on analyzing the curriculum of teacher education in colleges and universities, this paper proposes the key factors of the innovative curriculum system of teacher education, i.e., the innovation of teacher curriculum and teaching materials. Based on the method of correlation analysis to construct a curriculum system oriented to teacher education innovation, the systematic cluster analysis method is used to study the proper classification of the curriculum system by calculating the Euclidean distance for R-type clustering, showing the clustering process and results of the whole curriculum system. The similarity coefficient of student achievement is used to measure the degree of similarity between the variables, and according to the results of clustering analysis of teachers’ educational research situation, it is proposed to meet the needs of teachers’ educational research. The values of educational research results of teachers with external influence are 3.63, 2.32, 2.45, 3.56, 3.34. i.e., the degree of influence of the educational research results of teachers with external influence on the school and outside of the school is much greater than the degree of influence on the classroom team and grade team. |
| first_indexed | 2024-03-08T10:06:48Z |
| format | Article |
| id | doaj.art-7211cffb77a1455ab68c6205125d56e1 |
| institution | Directory Open Access Journal |
| issn | 2444-8656 |
| language | English |
| last_indexed | 2024-03-08T10:06:48Z |
| publishDate | 2024-01-01 |
| publisher | Sciendo |
| record_format | Article |
| series | Applied Mathematics and Nonlinear Sciences |
| spelling | doaj.art-7211cffb77a1455ab68c6205125d56e12024-01-29T08:52:38ZengSciendoApplied Mathematics and Nonlinear Sciences2444-86562024-01-019110.2478/amns.2023.2.00999Applying Statistical Analysis Methods to Study the Key Factors of Innovative Curriculum Systems in Teacher EducationHuang Xiaoling01College of Education, Guilin University, Guilin, Guangxi, 541006, China.Based on analyzing the curriculum of teacher education in colleges and universities, this paper proposes the key factors of the innovative curriculum system of teacher education, i.e., the innovation of teacher curriculum and teaching materials. Based on the method of correlation analysis to construct a curriculum system oriented to teacher education innovation, the systematic cluster analysis method is used to study the proper classification of the curriculum system by calculating the Euclidean distance for R-type clustering, showing the clustering process and results of the whole curriculum system. The similarity coefficient of student achievement is used to measure the degree of similarity between the variables, and according to the results of clustering analysis of teachers’ educational research situation, it is proposed to meet the needs of teachers’ educational research. The values of educational research results of teachers with external influence are 3.63, 2.32, 2.45, 3.56, 3.34. i.e., the degree of influence of the educational research results of teachers with external influence on the school and outside of the school is much greater than the degree of influence on the classroom team and grade team.https://doi.org/10.2478/amns.2023.2.00999correlation analysissystematic clusteringstudent achievementeducational researchcurriculum system97d60 |
| spellingShingle | Huang Xiaoling Applying Statistical Analysis Methods to Study the Key Factors of Innovative Curriculum Systems in Teacher Education Applied Mathematics and Nonlinear Sciences correlation analysis systematic clustering student achievement educational research curriculum system 97d60 |
| title | Applying Statistical Analysis Methods to Study the Key Factors of Innovative Curriculum Systems in Teacher Education |
| title_full | Applying Statistical Analysis Methods to Study the Key Factors of Innovative Curriculum Systems in Teacher Education |
| title_fullStr | Applying Statistical Analysis Methods to Study the Key Factors of Innovative Curriculum Systems in Teacher Education |
| title_full_unstemmed | Applying Statistical Analysis Methods to Study the Key Factors of Innovative Curriculum Systems in Teacher Education |
| title_short | Applying Statistical Analysis Methods to Study the Key Factors of Innovative Curriculum Systems in Teacher Education |
| title_sort | applying statistical analysis methods to study the key factors of innovative curriculum systems in teacher education |
| topic | correlation analysis systematic clustering student achievement educational research curriculum system 97d60 |
| url | https://doi.org/10.2478/amns.2023.2.00999 |
| work_keys_str_mv | AT huangxiaoling applyingstatisticalanalysismethodstostudythekeyfactorsofinnovativecurriculumsystemsinteachereducation |