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Influencing Factors and Strategies of the Flow of Academic Professionals in Colleges and Universities Based on Convolutional Neural Networks
Mobile Information Systems ( IF 1.863 ) Pub Date : 2021-08-23 , DOI: 10.1155/2021/9663389
LIli Zhao 1
Affiliation  

The influencing factors of academic professional mobility in colleges and universities are complex and diverse, and the intensity of each influencing factor has obvious characteristics of differentiation. However, scholars have few relevant studies based on the intensity of factors affecting the flow of academic professionals in colleges and universities. Therefore, this article aims to study and analyze the influence of different factors on the flow of academic professionals in different types of colleges and universities, which is of great significance for promoting the rational and orderly flow of academic professionals. This paper proposes a comprehensive application of multiple methods, such as questionnaire surveys and data statistics, based on ERG theory, based on the four types of universities and colleges: research-oriented, teaching research, teaching, and application. The influence intensity of the flow-influencing factors is comparatively studied. It clarified the differences in the influence of spiritual factors, economic factors, and social factors on the mobility of academic professionals in colleges and universities, established a mobility factor model, and put forward policy recommendations for colleges and universities to promote the rational and orderly mobility of academic professionals. A total of 2042 questionnaires on “Policy Improvement Factors Affecting the Flow of Academic Experts in Universities” were released, four academic experts of different levels were assigned to universities, and 1,561 were effectively searched. Among them, there were 336 research universities, 157 educational research universities, 404 educational universities, and 164 applied universities. The experimental results of this article show that the factors affecting the flow of academic professionals in universities include economic strength factor of 0.4945, social strength factor of 0.5456, and intellectual strength factor of 0.52. Therefore, the factors affecting the mobility of university scholars can be used in strategic research.

中文翻译:

基于卷积神经网络的高校学术人才流动影响因素及策略

高校学术专业流动的影响因素复杂多样,各影响因素的强度具有明显的分化特征。然而,学者们基于影响高校学术人才流动的因素强度的相关研究很少。因此,本文旨在研究分析不同类型高校学术人才流动的不同因素对学术人才流动的影响,对促进学术人才合理有序流动具有重要意义。本文基于ERG理论,基于四种类型的高校:研究型、教学研究、教学和应用。比较研究了流量影响因素的影响强度。明确了精神因素、经济因素、社会因素对高校学术人才流动影响的差异,建立了流动因素模型,为高校促进理性有序流动提出了政策建议。学术专业人士。共发布“影响高校学术专家流动的政策完善因素”问卷2042份,分配4位不同层次的学术专家到高校,有效检索1561人。其中,研究型大学336所,教育研究型大学157所,教育型大学404所,和164所应用型大学。本文的实验结果表明,影响高校学术人才流动的因素包括经济实力因子0.4945、社会实力因子0.5456、智力实力因子0.52。因此,影响大学学者流动的因素可以用于战略研究。
更新日期:2021-08-23
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