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Research on the Quality Evaluation of Talents Training in Colleges and Universities Under the Social Evaluation of Big Data on Social Network——Taking the Construction and Effectiveness of Quality Assurance System as an Example

Yanrong Yan

Abstract


The Nineteenth National Congress of the Communist Party of China proposed to provide education that the people are satisfied with, and how to handle education that is recognized by the society and the public is closely related to the quality of talent training in our colleges and universities. There are many ways to set up indicators in the talent training quality evaluation system. This paper selects one of the first-level indicators: the construction and effectiveness of the quality assurance system as an example. Based on the universities in Guangdong Province, big data is used to capture a large amount of data on various social platforms. Then, through text sentiment analysis and neural network algorithm, the data is calculated, and it is concluded that "reporting" and "postgraduate entrance examination" are the most concerned keywords in social evaluation. Then the paper analyzes this problem and gives corresponding countermeasures.


Keywords


Social Evaluation; Quality Assurance System Construction and Effectiveness; Big Data

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References


Zhou SJ. Mining of social attention on the quality of talent training in local colleges and universities based on web crawler big data [J]. Vocational Education of Ships 2019(3):44-47.

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Liao MX. Research and Practice on Construction of Quality Evaluation System for Applied Talents Training. Vocational Education Forum [J], 2016, 23: 55-59.

Hui XH, Wang YW, Su KQ, et al. Data mining technology and its application in college teaching [J]. Optical Disc Technology, 2007 (6): 55-57.




DOI: http://dx.doi.org/10.18686/ahe.v6i23.4512

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