期刊文献+

人工智能时代大学生应对变革的能力——基于互联网招聘信息的研究 被引量:1

On University Students’ Abilities in Ara of AI——Data from Internet Recruitment Information
原文传递
导出
摘要 人工智能时代劳动力市场需求变革,要求基于真实场景精准把握变革特征与趋势,为大学生能力培育和充分就业提供依据。对31个省份5.6万余条用人单位互联网招聘信息的扎根理论研究结果显示:劳动力市场2大维度大学生能力需求框架中,非认知能力需求度远高于认知能力。人工智能替代风险程度低的行业更注重大学生能力需求,对非认知能力需求更高;中西部地区低风险行业比东部地区更注重非认知能力需求;中低风险行业对认知能力的学习反思能力和推理分析能力需求度较高,对非认知能力的沟通协作能力和职业道德与精神需求程度较高。研究结果一定程度验证了人工智能对大学生在劳动力市场就业的替代效应、协作效应和溢出效应。 In the context of the high speed development of AI(artificial intelligence), the demand of the labor market for the abilities of university students has changed. It is necessary to accurately grasp the characteristics and trends of the change based on the real scene, so as to provide a basis for the cultivation and improvement of university students’ abilities. This study takes the recruitment information published by employers on the internet as the research object, anduses grounded research to mine and sort out more than 56000 recruitment information from 31 provinces in China. The results show that the structural framework of China’s labor market’s abilities demand for university students consists of two dimensions: cognitive ability and non-cognitive ability, as well as eleven core abilities, of which the demand for non-cognitive ability is much higher than cognitive ability. Industries are divided according to the risk degree of labor force being replaced by AI. In low-risk industries, the labor market pays more attention to the ability needs of college students, and the industries with lower risk degree have higher demand for non-cognitive ability. The eastern, central and western regions are basically consistent with the overall situation of the country, but the low-risk industries in the central and western regions pay more attention to the demand for non-cognitive ability than the eastern regions. Specifically, the middle-risk and low-risk industries have a high demand for the learning reflection ability and reasoning and analysis ability in the cognitive ability of university students, and a high demand for the communication and cooperation ability, professional ethics and spirit in the non-cognitive ability. The above conclusions verify the substitution effect, cooperation effect and spillover effect of artificial intelligence on university students’ employment in the labor market to a certain extent.
作者 李玉栋 张世倩 Li Yudong;Zhang Shiqian
出处 《高等工程教育研究》 CSSCI 北大核心 2022年第5期93-98,110,共7页 Research in Higher Education of Engineering
基金 国家社会科学基金教育学青年课题“‘高校对口支援’政策实施20年效能评估与提升策略研究”(CFA210245)。
关键词 人工智能 劳动力市场 大学生能力 互联网招聘信息 artificial intelligence labor market abilities of university students internet recruitment information
  • 相关文献

参考文献6

二级参考文献51

  • 1马原.基层维稳实践中的“规范化”形态与非正式治理——以信访专项救助资金的运作实践为例[J].公共行政评论,2014,7(6):67-87. 被引量:23
  • 2宋小川.无就业增长与非均衡劳工市场动态学[J].经济研究,2004,39(7):91-96. 被引量:55
  • 3凯西.卡麦兹.建构扎根理论:质性研究实践指南[M].边国英,译.重庆:重庆大学出版社,2009.
  • 4Strauss A, Corbin J. 质性研究概论[M]. 徐宗国译.台北:巨流图书公司, 1997: 117-135.
  • 5Van de Ven, A. H. & Huber, G. P. LongitudinalField Research Methods for Studying Processes of Organiza-tional Change. Organizational Science, 1990, 1 (3): 213-219.
  • 6Langley, A. Strategies for Theorizing from Process Da-ta. The Academy of Management Review, 1999, 24(4).
  • 7Martin, P. Y. & Turner, B. A. Grounded Theory andOrganizational Research. The Journal of Applied BehavioralScience,1986, 22 ( 2 ).
  • 8Glaser, B. G. & Strauss, A. L. The Discoveryof Grounded Theory: Strategies for Qualitative Research.New York: Aldine Publishing Company, 1967. pp 2 一 6,p34, pp32 - 35, ppl05 -113, p45, pp61 -62,p34, pl03,p21, P39,P115, p46, PP79 -99.
  • 9诺曼.K.邓津,伊冯娜.S.林肯.定性研究:方法论基础[M].风笑天等译.重庆:重庆大学出版社,2007.117.
  • 10Glaser, B. G. Emergence VS. Forcing:Basics of Grounded Theory Analysis. Mill Valley, CA: So-ciology Press, 1992. p38,p50, pp68 -69.

共引文献323

同被引文献22

引证文献1

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部