Advances, Systems and Applications
Table 1 Index System of influencing factors for training applied talent of artificial intelligence multi-cloud scheduling
Indicator classification | First-level index | Second-level index |
|---|---|---|
Affecting factor system of artificial intelligence multi-cloud scheduling applied talent training | A1: College level | B11: Professional degree of teacher structure |
B12: Experimental equipment and technical capabilities | ||
B13: Practical training base construction and education integration degree | ||
B14: Professional re-education intensity | ||
A2: Enterprise level | B21: Talent management and development system | |
B22: Applied talent training investment cost | ||
B23: Corporate social responsibility | ||
B24: Degree of participation in industry-university-research education | ||
B25: Training promotion and incentive mechanism | ||
A3: Social level | B31: Supportive Policy and Strategic Impact | |
B32: Special fund reward and subsidy standard | ||
B33: Artificial intelligence major and School evaluation | ||
B34: Industry R&D and innovation support | ||
B35: Proportion of industrial investment in GDP | ||
A4: Individual level | B41: Individual characteristics | |
B42: Career goals height | ||
B43: Innovative self-efficacy | ||
B44: Awareness of industry and corporate standards |