A Scientific Quantitative Analysis of Occupation Training and Education Driven by Information Technology Based on Big Data Analysis Technology and Visualization Software

Autor: Chung-Lien Pan, Xing-Han Chen, Qi-Wei Huang, Yan-Tong Lin, Wei-Keng Zhou, Shan-Wei Li, Yu-Rong Lin
Rok vydání: 2020
Předmět:
Zdroj: 2020 International Conference on Information Science and Education (ICISE-IE).
Popis: At present, the information technology service industry is showing a good development trend. The rapid development of information technology has a significant impact on various fields. Driven by information technology, vocational training and education also enjoy the dividend brought by the development of information technology. In this context, vocational training provides more workers with endless opportunities, promotes the development of the labor market, and brings help to the wage problem of young people, especially some children. At the same time, vocational training is closely related to employment and education, which has brought certain changes to the youth and the labor market. Moreover, the state’s attention to vocational training is also increasing, and vocational training is of great significance to the transformation of employment and education. However, there is a gap in the bibliometric analysis of this topic. Based on 694 articles retrieved from the web of science database from 1950 to 2020, this paper mainly reviews the highly cited literature on "vocational training", "employment", "education", "Youth", "labor market". By using big data analysis technology and visualization software, the author’s key points such as keywords, main research institutions, countries, and publication sources are analyzed in detail. This paper makes a contribution to the literature of vocational training, employment, and education from the perspective of scientific measurement, to understand the impact of vocational training, education, and employment on youth and the labor market.
Databáze: OpenAIRE