Published Paper Details:

The integration of Artificial Intelligence (AI) in education has emerged as a transformative approach to enhance assessment accuracy, efficiency, and student learning outcomes. This study investigates the impact of AI on educational assessments in Karnataka, addressing the growing need to understand its effectiveness, adoption, and associated challenges within local academic institutions. The research aims to examine students' and educators' perceptions of AI-driven assessment tools, identify regional and demographic variations in acceptance, and explore ethical considerations influencing implementation. A descriptive research design was adopted, with primary data collected through a structured questionnaire administered to 150 respondents from Mysore, Bangalore, and Hassan. Data were analyzed using descriptive statistics, ANOVA, and regression analysis to identify trends, differences, and relationships between demographic factors and AI perceptions. The findings indicate that AI significantly improves assessment accuracy, reduces evaluation time, and positively influences learning outcomes, while ethical concerns and regional disparities affect adoption levels. Income and city of residence were found to significantly shape respondents' perceptions, and the null hypothesis of no significant impact of AI was rejected. The study highlights the relevance of AI in contemporary education and provides insights for institutions to implement ethical, context-sensitive, and effective AI-based assessment practices.