Yanrong Yan
Social Evaluation, Quality Assurance System Construction and Effectiveness, Big Data
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. It is hoped that through corresponding countermeasures, the evaluation system of talent training quality will be optimized in a targeted manner, so as to lay a solid foundation for the improvement of talent training quality in the future, and strive to provide education that satisfies the society and the people. This is also a direction for colleges and universities to move forward.
Keywords:
Social Evaluation, Quality Assurance System Construction and Effectiveness, Big Data
- Reference
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