Linking Artificial Intelligence Awareness with 21st-Century Skills Development among Rural Students in the Rohilkhand Region of Uttar Pradesh

Abstract

Artificial Intelligence (AI) is increasingly shaping contemporary education systems by redefining how knowledge is accessed, processed, and applied. While extensive research has explored AI integration in urban and higher education contexts, empirical evidence from rural schooling environments in India remains limited. Addressing this gap, the present study examines the relationship between Artificial Intelligence awareness and 21st-century skills development among rural students in the Rohilkhand region of Uttar Pradesh, using the Technology Acceptance Model (TAM) as a guiding theoretical framework. The study aims to assess levels of AI awareness, analyze its influence on overall and skill-specific dimensions of 21st-century competencies, and examine the moderating role of contextual factors such as digital access, school type, and socio-economic background. In this research, primary and secondary data is used; primary data is collected through structured questionnaires from rural students with secondary data drawn from scholarly literature, policy documents, and educational reports. The empirical analysis employed regression and Structural Equation Modeling (SEM) techniques to test the proposed hypotheses. The findings reveal that rural students possess a statistically significant yet uneven level of AI awareness. Results further indicate that AI awareness has a positive and significant impact on overall 21st-century skills development, with particularly strong effects on digital literacy, critical thinking, and problem-solving abilities. Contextual variables were found to significantly moderate this relationship, either strengthening or constraining the translation of awareness into skill development. The study demonstrates that AI awareness functions as a critical enabling factor that facilitates rural students’ transition from passive technology exposure to active, skill-oriented engagement. The findings contribute to both theory and practice by extending the applicability of TAM to rural educational settings and highlighting the importance of awareness-driven, context-sensitive policy interventions. The study concludes by outlining implications for educators and policymakers and suggesting avenues for future research on longitudinal skill development and inclusive AI education strategies.