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A Study on Improving Teachers’ Teaching Competence with the Assistance of Information Technology in Early Childhood Education

Xinying Li

Xinying Li

Sichuan University of Science & EngineeringZigong, China
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Li, Xinying
 und 
Mingdi Chen

Mingdi Chen

Sichuan University of Science & EngineeringZigong, China
Suche nach diesem Autor auf
Sciendo|Google Scholar
Chen, Mingdi
  
24. Sept. 2025
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Online veröffentlicht: 24. Sept. 2025
Eingereicht: 25. Dez. 2024
Akzeptiert: 20. Apr. 2025
DOI: https://doi.org/10.2478/amns-2025-0951
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© 2025 Xinying Li et al., published by Sciendo
This work is licensed under the Creative Commons Attribution 4.0 International License.

Figure 1.

The research model of the information technology improving teaching ability
The research model of the information technology improving teaching ability

Figure 2.

The framework of improving teachers’ teaching ability
The framework of improving teachers’ teaching ability

Figure 3.

Comparison of teaching ability of the two groups
Comparison of teaching ability of the two groups

Figure 4.

Comparison of teaching ability difficulty of the two groups
Comparison of teaching ability difficulty of the two groups

Figure 5.

The comparison of teaching creativity of the two groups
The comparison of teaching creativity of the two groups

The results of the fitting assessment

Fitting index Critical value Actual value
Absolute fitting index x2/df <3.00 1.883
RMSEA <0.08 0.057
RMR <0.05 0.036
Contracted fit index PGFI >0.50 0.862
PNFI >0.50 0.738
Value-added fitting index TLI >0.90 0.935
CFI >0.90 0.924
IFI >0.90 0.927

Results of the potential profile analysis

Model 1 2 3 4
AIC 1044.292 913.298 875.765 864.613
BIC 1053.33 929.253 898.467 893.227
aBIC 1046.221 917.758 881.813 872.804
Entropy NA 0.751 0.829 0.854
LMR NA 0.0008 0.0007 2.438
BLRT NA 0.0003 0.0006 0.0007
Class probability NA 0.439/0.561 0.184/0.475/0.341 0.0357/0.0821/0.3874/0.4948
Individual number 207 91/116 38/98/71 7/17/81/102

The study assumes the results of the test

Hypothesis Path Estimate S.E P Assumed acceptance
H1 Information technology —>Perceptual usefulness 0.548 0.056 *** Acceptance
H2 Information technology —> Self-efficacy 0.554 0.087 *** Acceptance
H3 Information technology —> Autonomous learning 0.083 0.043 * Acceptance
H4 Information technology —> Informationization teaching 0.098 0.031 * Acceptance
H5 Self-efficacy —> Autonomous learning 0.577 0.082 *** Acceptance
H6 Self-efficacy —> Informationization teaching 0.081 0.036 * Acceptance
H7 Perceptual usefulness —> Autonomous learning 0.439 0.029 *** Acceptance
H8 Perceptual usefulness y —> Informationization teaching 0.214 0.053 *** Acceptance
H9 Autonomous learning —> Informationization teaching 0.687 0.036 *** Acceptance
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