{"title":"Analysis of Career Development Guidance for College Students Based on Big Data","authors":"Xue Mu","doi":"10.38007/proceedings.0000061","DOIUrl":null,"url":null,"abstract":"With the continuous development of Internet technology, it has a certain impact on the development of various industries. Big data is an inevitable result of the development of Internet technology. Big data is related to changes in data processing models, not data growth. Most information is classified and screened using Internet technology. As a place for university talent training, big data also plays a very important role in developing career guidance for college students. At present, the overall employment situation of domestic college students is not optimistic, especially due to the lack of judgment on the market, talents and the job market have not been fully matched, and the emergence of big data can allow college employment guidance departments to pass the theory of big data To accurately match the career guidance of college students and help college students understand the current talent market situation, so as to bring new development to the career guidance work of college students. This article mainly studies the analysis of career development guidance for college students based on big data. Data collection of Chinese universities, in recent years, we can see that the total enrollment rate of college students has reached 38.33 million, with a total enrollment rate of 48.1%. There were 2,633 colleges and universities in China (including 265 independent universities), an increase of 32% and 1.22% over the previous year.","PeriodicalId":202744,"journal":{"name":"2020 International Conference on Social and Human Sciences (ICSHS2020)","volume":"41 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2020 International Conference on Social and Human Sciences (ICSHS2020)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.38007/proceedings.0000061","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
With the continuous development of Internet technology, it has a certain impact on the development of various industries. Big data is an inevitable result of the development of Internet technology. Big data is related to changes in data processing models, not data growth. Most information is classified and screened using Internet technology. As a place for university talent training, big data also plays a very important role in developing career guidance for college students. At present, the overall employment situation of domestic college students is not optimistic, especially due to the lack of judgment on the market, talents and the job market have not been fully matched, and the emergence of big data can allow college employment guidance departments to pass the theory of big data To accurately match the career guidance of college students and help college students understand the current talent market situation, so as to bring new development to the career guidance work of college students. This article mainly studies the analysis of career development guidance for college students based on big data. Data collection of Chinese universities, in recent years, we can see that the total enrollment rate of college students has reached 38.33 million, with a total enrollment rate of 48.1%. There were 2,633 colleges and universities in China (including 265 independent universities), an increase of 32% and 1.22% over the previous year.