基于多元统计分析的高校师范专业双创教育与专业教育融合人才培养提升路径研究

IF 3.1 Q1 Mathematics
Heyuan Ma, Xue Yang, Kaiyue Qi
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引用次数: 0

摘要

在当今社会对高素质人才的需求下,高校培养的专业人才不仅要掌握专业技能,更需要在专业方面具备创新精神和创业能力。本文首先对多元统计分析方法进行了说明,并给出了因子分析模型、主成分分析方法和系统聚类方法的基本原理,用于后续文章的数据分析。其次,从高校师训专业双能动性教育与专业教育相结合的必要性出发,构建了4344专业化创新的师训专业综合人才培养模式,并构建了评估效果的评价体系。最后,在评价体系的基础上,运用因子分析、主成分分析和系统聚类方法对专业化创新型综合人才培养模式进行数据分析。结果表明,在因子分析中,第一主因子的最高加载值为0.917,第一主因子的贡献率为39.67%,主成分因子的加载值最高达到0.925。聚类分析以因子分析结果为基础,将受访者分为4类。第二类人数在30人以上,约占总人数的31.41%。运用多元统计分析的方法,可以对高校教师培训的专业化、综合型人才培养模式进行有效的数据分析,也为教师培训提供了专业化、综合型人才培养的路径。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Research on the enhancement path of talent cultivation in the integration of dual-creation education and professional education for teacher training majors in colleges and universities based on multivariate statistical analysis
Abstract In today’s society, under the demand for high-quality talents, the professionals cultivated in colleges and universities should not only master professional skills but also need to have the spirit of innovation and entrepreneurial ability in professional aspects. In this paper, firstly, the multivariate statistical analysis method is explained, and the basic principles of the factor analysis model, principal component analysis method and systematic clustering method are given to analyze the data in the following article. Secondly, starting from the necessity of the integration of bi-initiative education and professional education of teacher training majors in colleges and universities, we constructed the 4344 specialized and innovative integrated talent cultivation model of teacher training majors and constructed an evaluation system to evaluate the effectiveness. Finally, based on the evaluation system, the data analysis of the specialized and creative integrated talent cultivation model was carried out using factor analysis, principal component analysis and systematic clustering method. The results show that in the factor analysis, the highest loading value of the first principal factor is 0.917, the contribution rate of the first principal factor is 39.67%, and the loading value of the principal component factor reaches the highest value of 0.925. The clustering analysis is based on the results of the factor analysis, and the respondents are divided into 4 clusters. The number of people in the 2nd category is more than 30 people, which accounts for about 31.41% of the total number of people. The method of multivariate statistical analysis can be used to analyze the data effectively for the specialized and integrated personnel training mode of teacher training in colleges and universities and also gives the path of specialized and integrated personnel training for teacher training.
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来源期刊
Applied Mathematics and Nonlinear Sciences
Applied Mathematics and Nonlinear Sciences Engineering-Engineering (miscellaneous)
CiteScore
2.90
自引率
25.80%
发文量
203
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