Construction of Employment Ability Simulation Training System in Artificial Intelligence Era. Issue 4 (February 2021)
- Record Type:
- Journal Article
- Title:
- Construction of Employment Ability Simulation Training System in Artificial Intelligence Era. Issue 4 (February 2021)
- Main Title:
- Construction of Employment Ability Simulation Training System in Artificial Intelligence Era
- Authors:
- Li, Pinlin
Dou, Yingying - Abstract:
- Abstract: Artificial intelligence has brought a short-term destructive substitution effect on the employment of college graduates. At present, the lack of employability development in colleges and universities is mainly manifested in four aspects: two-way choice of supply and demand, individual's growth, vocational education and artificial intelligence environment demand. On the basis of employment intelligent module and as the guidance of individual's growth needs, this paper constructs a graduate employment simulation training system for different levels, different jobs "work environment", with the interaction of professional assessment and planning system, employment information intelligent system, career counseling.
- Is Part Of:
- Journal of physics. Volume 1744:Issue 4(2021)
- Journal:
- Journal of physics
- Issue:
- Volume 1744:Issue 4(2021)
- Issue Display:
- Volume 1744, Issue 4 (2021)
- Year:
- 2021
- Volume:
- 1744
- Issue:
- 4
- Issue Sort Value:
- 2021-1744-0004-0000
- Page Start:
- Page End:
- Publication Date:
- 2021-02
- Subjects:
- Artificial Intelligence -- Employment -- Work Situation -- the Simulation Training
Physics -- Congresses
530.5 - Journal URLs:
- http://www.iop.org/EJ/journal/1742-6596 ↗
http://ioppublishing.org/ ↗ - DOI:
- 10.1088/1742-6596/1744/4/042194 ↗
- Languages:
- English
- ISSNs:
- 1742-6588
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 5036.223000
British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 25483.xml