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Professional Development Paths and Teacher Competence Enhancement of Vocational School Teachers under the Integration of Intelligent Technology

  
17 mar 2025

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Figure 1.

The path of intelligent technology to promote the development of teachers
The path of intelligent technology to promote the development of teachers

Figure 2.

The proportion of students’ emotions at all stages
The proportion of students’ emotions at all stages

Figure 3.

The changes in the seven emotions at various stages
The changes in the seven emotions at various stages

Figure 4.

Changes in the learning state of students in each group
Changes in the learning state of students in each group

Figure 5.

The statistical results of the ability characteristics of the sample teachers
The statistical results of the ability characteristics of the sample teachers

The weight of the characteristics of teachers’ ability

Elements Number Variable score Factor score Weights /% Ranking
Research and career development ability 7 26.44 3.78 19.98% 4
Personal trait 4 15.55 3.89 20.56% 2
Vocational teaching ability 6 23.73 3.96 20.93% 1
Professional quality 4 13.93 3.48 18.39% 5
Professional practice 4 15.23 3.81 20.14% 3

Key elements of teacher’s l ability

Symbol Element Symbol Element Symbol Element
X1 Professional title X10 Practical teaching skills X19 Combining theory with practice
X2 Professional knowledge X11 Business practical experience X20 Education research ability
X3 Basic knowledge X12 Professional training X21 Academic communication ability
X4 Education expertise X13 Industry communication ability X22 Sense of responsibility
X5 Teaching method ability X14 Communication skills X23 Dedication
X6 Teaching design ability X15 Social service capacity X24 The ability of ideological and moral education
X7 Advanced teaching concept X16 Organizational management X25 Self-control ability
X8 Teaching management capabilities X17 Information update ability
X9 Verbal ability X18 Self-learning ability

The eigenvalue and the variance contribution rate of the public factor

Total variance interpretation
Module Initial eigenvalue Rotational load squared
Total Variance Cumulation Total Variance Cumulation
1 8.268 0.351 0.351 7.262 0.351 0.351
2 5.402 0.208 0.559 5.571 0.264 0.615
3 3.297 0.161 0.720 2.352 0.125 0.740
4 2.285 0.096 0.816 1.566 0.084 0.824
5 1.319 0.051 0.867 1.036 0.043 0.867

The component matrix after rotation

Module
1 2 3 4 5
X17 0.961
X15 0.941
X20 0.915
X19 0.911
X18 0.894
X21 0.851
X16 0.798
X5 0.931
X9 0.915
X7 0.908
X10 0.893
X6 0.841
X8 0.834
X13 0.925
X14 0.878
X12 0.862
X11 0.848
X24 0.959
X25 0.932
X23 0.915
X22 0.889
X4 0.945
X3 0.884
X1 0.859
X2 0.778
Język:
Angielski
Częstotliwość wydawania:
1 razy w roku
Dziedziny czasopisma:
Nauki biologiczne, Nauki biologiczne, inne, Matematyka, Matematyka stosowana, Matematyka ogólna, Fizyka, Fizyka, inne