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Research on the Construction of the Path of Cultivating Practical Ability of Digital Talents in New Business Disciplines Driven by Big Data

  
21 mar 2025

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Figure 1.

Analysis of the cultivation satisfaction of digital personnel
Analysis of the cultivation satisfaction of digital personnel

Figure 2.

Digital talent training process analysis
Digital talent training process analysis

Figure 3.

The mechanism of dimetagenesis
The mechanism of dimetagenesis

Figure 4.

The talent training mode adjustment results
The talent training mode adjustment results

Education training course structure table

Classroom instruction Total amount Practice time Practice accounts for the module (%) The module accounts for the proportion of the course (%)
General education 492 140 28.56 20.35
General education elective course 54 2 0 2.02
Subject required courses 586 130 22.4 23.20
Subject course 100 28 16.8 3.65
Compulsory course 816 138 24.02 31.28
Elective course 462 110 21.56 19.5

The original course set and the teaching schedule

Course name Total credit Total time Semester
1 2 3 4 5 6
Chinese character 2 40 3
Mental health and career 3 40 3
Philosophy and life 2 40 3
Occupational ethics and rule of law 3 40 3
Sports and health 8 145 3 2 2 3
Computer foundation 9 112 7▲
Chinese 8 145 4 4▲
English 7 145 4▲ 5▲
mathematics 2 145 5 5
Public art 2 40 4
History 3 40 3
Basic accounting 9 145 10▲
Corporate accounting practice 14 220 7▲ 7▲
Accounting computerization 7 112 7▲
Accounting practice 7 112 5▲ 3
Cost accounting practice 5 80 5▲
Tax accounting 5 80 5▲
Tax basic knowledge 2 40 3
Financial regulations 5 40 2
Commodity purchase and marketing accounting practice 5 80 5▲
Basic knowledge of economic law 5 80 5
The practice of financial clerk 3 40 3
Military training, admission education 1 32
Moral education practice week 3 64 One week One week
True account 2 83 One week Two week
“Real account” training 5 108 Two week Two week
Enterprise operating sand-plate mould 2 28 one week
Internship 29 612
Overhead internship 30 612
Class meeting 9 148 3 3 2 3

The basic situation of the investigators

Classification Number Percentage
Gender Male 158 58.09%
Female 114 41.91%
Educational background Undergraduate 100 36.76%
Graduate student 172 63.24%
Hierarchy Digital personnel 7 2.57%
Digital professionals 139 51.10%
Digital junior talent 126 46.32%
Business line Management line 50 18.38%
Company line 58 21.32%
Retail line 67 24.63%
Risk line 70 25.74%
Accounting line 27 9.93%

The basic information of students' employment in a certain year

Student information Quotient class Science
Enrollment quantity 2790648 3589356
Expected graduate 2756284 3583472
Real graduate 2786539 3574826
Employment student 1922873 3105138
Job alignment 766953 840286
Student population 1150920 1360887