Study on the Precision Guidance Model of Employment and Entrepreneurship of Poor Students in Higher Vocational Education under the Big Data Environment
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DOI: 10.25236/icemit.2019.047
Author(s)
Peng Liao, Qihui Xie
Corresponding Author
Peng Liao
Abstract
After 37 years of reform and opening up, we have successfully embarked on a road of poverty alleviation and saved more than 700 million rural poor from poverty. The government ensures that all poor areas and the poor will enter a comprehensive well-off society by 2020. The country is paying more and more attention to education for poor students. As an important education subject of poverty alleviation, vocational colleges and universities are responsible for how to accurately train poor students into qualified or high-quality technical employers and help them to be successful in the employment. This paper analyzes the factors affecting the employment of poor students in higher vocational education, and puts forward the precise measures to strengthen the employment ability of poor students in higher vocational colleges, so as to achieve the smooth employment of poor students in higher vocational education.
Keywords
Poor students, employment and entrepreneurship, vocational education, big data