A Study on Students' Satisfaction and Artificial Intelligence (AI) Adoption in Private Schools of Coimbatore City

The integration of Artificial Intelligence (AI) into school education has significantly transformed teaching–learning processes through personalized learning systems, intelligent tutoring platforms, automated assessment tools, and learning analytics. Despite the increasing adoption of AI-enabled technologies in private schools, empirical evidence on their influence on students’ satisfaction remains limited, particularly in the Indian school education context. This study investigates the extent of AI adoption and its impact on students’ satisfaction in private schools of Coimbatore City using a quantitative research approach. Primary data were collected from 300 students through a structured questionnaire, and the data were analyzed using descriptive statistics, Pearson correlation, and multiple regression analysis. The findings reveal a significant positive relationship between AI adoption and students’ satisfaction, with perceived usefulness and perceived ease of use emerging as the most influential determinants. The regression model explains a substantial proportion of variance in students’ satisfaction, highlighting the role of effective AI integration in enhancing learning experiences and student engagement. The study offers valuable implications for school administrators, educators, and policymakers to promote student-centric and ethically responsible AI adoption in school education.