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<p>This paper explains the dilemma of artificial intelligence in relation to the development of teacher education based on the functional structure of artificial intelligence and the activity characteristics of teacher education. Then, after designing a survey questionnaire on the factors affecting the development of teacher education empowered by artificial intelligence and completing the reliability test, the paper collects initial data in the form of distributing questionnaires and analyzes in detail the least squares estimation of mean, variance, standard deviation, correlation coefficient, and regression coefficient needed in the process of analyzing the data to carry out the analysis of instances. The correlation coefficients of teacher training, professional development, policy support, resource allocation, teacher literacy, educational information technology behaviors, and AI-enabled teacher education development are 0.674 (0.003), 0.496 (0.001), 0.259 (0.009), 0.371 (0.008), 0.639 (0.004), and 0.325 (0.007). Their corresponding regression coefficients were 0.616 (t=59.852, P=0.003), 0.021 (t=0.018, P=0.007), 0.078 (t=5.668, P=0.005), 0.032 (t=3.282, P=0.009), 0.239 (t=29.734, P=0.008), 0.137 (t=5.406, P=0.001), indicating that these factors have a significant impact relationship on AI-enabled teacher education.</p>
</abstract>

This paper explains the dilemma of artificial intelligence in relation to the development of teacher education based on the functional structure of artificial intelligence and the activity characteristics of teacher education. Then, after designing a survey questionnaire on the factors affecting the development of teacher education empowered by artificial intelligence and completing the reliability test, the paper collects initial data in the form of distributing questionnaires and analyzes in detail the least squares estimation of mean, variance, standard deviation, correlation coefficient, and regression coefficient needed in the process of analyzing the data to carry out the analysis of instances. The correlation coefficients of teacher training, professional development, policy support, resource allocation, teacher literacy, educational information technology behaviors, and AI-enabled teacher education development are 0.674 (0.003), 0.496 (0.001), 0.259 (0.009), 0.371 (0.008), 0.639 (0.004), and 0.325 (0.007). Their corresponding regression coefficients were 0.616 (t=59.852, P=0.003), 0.021 (t=0.018, P=0.007), 0.078 (t=5.668, P=0.005), 0.032 (t=3.282, P=0.009), 0.239 (t=29.734, P=0.008), 0.137 (t=5.406, P=0.001), indicating that these factors have a significant impact relationship on AI-enabled teacher education.

The Realistic Dilemmas and Possible Paths of Artificial Intelligence Enabling Teacher Education

Applied Mathematics and Nonlinear Sciences

This work is licensed under the Creative Commons Attribution 4.0 International License.

This paper explains the dilemma of artificial intelligence in relation to the development of teacher education based on the functional structure of artificial...

The Realistic Dilemmas and Possible Paths of Artificial Intelligence Enabling Teacher Education

Pubblicato online: 05 ago 2024

Pagine: -

Ricevuto: 25 mar 2024

Accettato: 23 giu 2024

DOI: https://doi.org/10.2478/amns-2024-2163

Parole chiave
Mean, Variance, Standard deviation, Regression coefficient, Teacher education

© 2024 Qin Zhou, published by Sciendo

This work is licensed under the Creative Commons Attribution 4.0 International License.

The Realistic Dilemmas and Possible Paths of Artificial Intelligence Enabling Teacher Education

Pubblicato online: 05 ago 2024

Pagine: -

Ricevuto: 25 mar 2024

Accettato: 23 giu 2024

DOI: https://doi.org/10.2478/amns-2024-2163

Parole chiaveMean, Variance, Standard deviation, Regression coefficient, Teacher education

© 2024 Qin Zhou, published by Sciendo

This work is licensed under the Creative Commons Attribution 4.0 International License.

Parole chiave
Mean, Variance, Standard deviation, Regression coefficient, Teacher education