The Effect of Artificial Intelligence Mechanisms on the Psychological Immunity of Teachers.

Abstract

The integration of Artificial Intelligence (AI) mechanisms in education has transformed traditional teaching practices and raised critical questions regarding teachers’ psychological resilience. This study aimed to examine the effects of AI adoption on the psychological immunity of teachers, considering demographic factors such as age, gender, educational background, and years of teaching experience. Utilizing a quantitative research design, data were collected from 400 participants using validated questionnaires, followed by descriptive and inferential statistical analyses. The findings reveal a positive relationship between AI usage and psychological immunity, while age and experience were moderately negatively associated with resilience levels. Educational attainment emerged as a significant predictor of stronger psychological immunity. The results emphasize the need for human-centered AI integration that enhances teacher well-being while preserving pedagogical integrity. Recommendations include developing targeted AI training programs, supporting veteran teachers, and fostering ethical AI literacy. These insights contribute to the broader understanding of how technological innovation can coexist with the emotional and professional needs of educators in dynamic educational environments.