Transforming Teacher Education: The Influence Of Artificial Intelligence On Educational Practices And Human Resource Dynamics

This study examines the nature of artificial intelligence (AI) in teacher education practices and the human resource field. Furthermore, it assesses organizational approaches and propositions towards educational challenges given the context of teacher education. Analytically, the study uses secondary data and an econometric modeling approach to integrate AI in teacher education settings. The study samples data from academic, business, and governmental resources to evaluate current trends in integrating AI, emerging issues in teacher education, and the best practices. Based on Structural Equation Modeling analysis that employed Maximum Likelihood and Bayesian estimation, the study analyzes the link between the independent variable, AI implementation, and the dependent variables of human resource practices in teacher education, educational issues, and organizational performance. The study reveals that using AI in teacher education influences human resources management, including staffing, training, and performance measurement. The study focuses on human resource management, especially in teacher education.