Path Analysis of Innovative Models of Higher Education Management and Student Cultivation Mechanisms in the Internet Era

Author:

Wu Haisheng1

Affiliation:

1. Department of Student Affairs , Nantong Institute of Technology , Nantong , Jiangsu , , China .

Abstract

Abstract In the context of the Internet era, the cultivation of innovative talents is not only the core work of the educational management of colleges and universities but also the essence of the optimization of the educational management path of colleges and universities. Based on this paper for the reform and development path of college education management to think, explore the intrinsic correlation between the two, and, from the perspective of innovative student training, put forward the higher education management reform strategy. Combining the SMO algorithm and SVM-light algorithm, we developed a Lib-SVM-based evaluation model for higher education management mechanisms, applied the PSO algorithm to allocate higher education resources, and made intelligent decisions on higher education management. The hierarchical analysis method and fuzzy analysis method are used in turn to determine the content of higher education student training evaluation and to calculate and analyze related data. The overall satisfaction of students with the higher education management strategy proposed in this paper is 4.449, and there is a significant difference between innovative and traditional student cultivation modes, t=32.4847, p<0.01. Innovative student cultivation methods are rated higher. In the evaluation of student training quality, the total level factor evaluation result is 79.08, which is in the middle range. The practical effect of higher education management and student training paths proposed in this paper is good.

Publisher

Walter de Gruyter GmbH

Reference26 articles.

1. Adhikari, D. R., & Shrestha, P. (2023). Knowledge management initiatives for achieving sustainable development goal 4.7: higher education institutions’ stakeholder perspectives. Journal of Knowledge Management, 27(4), 1109-1139.

2. Lirui, N., Hanchao, L., Ying, W., & Tiantian, W. (2017). A research on innovation of organization management system of practice education in universities under the background of “internet+ education”. Journal of Higher Education.

3. Visvanathan, Chettiyappan, Mohanty, Brahmanand, Tangwanichagapong, & Siwaporn, et al. (2017). Greening of a campus through waste management initiatives experience from a higher education institution in thailand. International Journal of Sustainability in Higher Education.

4. Gilstrap, D. L. (2020). Understanding persistence of at-risk students in higher education enrollment management using multiple linear regression and network analysis. Journal of Experimental Education, 88.

5. Tahirbegi, D. (2022). Higher music education students’ experiences and management of performance anxiety: a qualitative study:. Psychology of Music, 50(4), 1184-1196.

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3