Integrating Artificial Intelligence (AI) and Data Science in Transforming the Future of Education

Abstract

The present study examines the level of perception towards the integration of Artificial Intelligence (AI) and Data Science among individuals across different demographic categories. With the rapid advancement of digital technologies, understanding public readiness and acceptance plays a crucial role in successful technological adoption. A sample size of 100 respondents was selected using a simple random sampling technique, thereby ensuring equal probability of participation and minimizing sampling bias. This methodological approach strengthens the reliability and generalizability of the findings. The study aims to determine how demographic variables such as age, gender, and income influence respondents’ acceptance and perception of AI and Data Science within professional and academic environments. Descriptive statistics were applied to measure mean perception levels across groups, while inferential tools such as ANOVA and Z-tests were employed to explore whether the observed differences were statistically significant. The analysis revealed noticeable variations among demographic segments, suggesting that perception is not uniform across the population. The primary objectives of the study are to assess the overall perception levels of respondents toward AI and Data Science integration and to evaluate the impact of socio-demographic attributes on those perceptions. The findings emphasize that targeted awareness programs, hands-on training, and skill development initiatives are essential to enhance understanding and acceptance among diverse groups. The results also highlight the need for creating equal opportunities for individuals across all demographic segments to gain exposure to emerging technologies, thereby supporting the smooth transition toward a digitally empowered society.