2025, Vol. 7, Issue 7, Part B

Author(s): Anita Atwal and Aqsa Habib Khan

Abstract: In India, AI has rapidly transformed various regions that accomplish human aspects, yet its adoption and awareness levels are different across demographics. Nowadays artificial intelligence has become a driving force, and India is well on its way to transforming from a developing to a developed nation. This study aims to conduct a comparative analysis of artificial intelligence in the modern education system to know the general perspective of gender and locality among the academic fraternity. The study was carried out among 100 academic fraternities; selected on the basis of stratified random sampling technique, each category of gender (male vs. female) and locality (rural vs. urban) consists of 50 respondents across different colleges and universities in the Sonipat district of Haryana. The study utilized a structured questionnaire designed to assess the perspective of the academic fraternity towards practical implications on the concept, usage, and awareness of artificial intelligence technology that bridges the educational gap between disadvantaged and privileged students. The questionnaires, comprised of 25 statements, were sent to respondents through Google Form to know respondents opinions, focusing on their familiarity with AI applications, usage patterns, and attitudes towards AI-driven technologies. The findings indicate a significant disparity in AI awareness, with urban respondents demonstrating greater exposure and engagement compared to their rural equivalents. Additionally, gender differences are statistically insignificant, suggesting that AI perceptions in education and research are more influenced by experience and exposure rather than gender. The majority of respondents, regardless of gender or locality, believe AI has the potential to bridge the educational gap. The study highlights the need for inclusive AI literacy programs and improved access to AI tools in make light of communities to bridge the digital divide.

DOI: 10.22271/multi.2025.v7.i7b.729

Pages: 95-100 | Views: 701 | Downloads: 192

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