Revolutionizing Higher Education with AI: Opportunities, Challenges, and Future Trends

Abstract

Higher education institutions are undergoing a sea change as a result of the incorporation of AI, which is improving both instructional and administrative tasks. Using data collected from 200 students, faculty, and administrators from three NCR institutions, this research investigates the pros, cons, and potential future directions of artificial intelligence (AI) in the realm of higher education. In the end, AI boosts student happiness and institutional efficiency by providing personalised learning experiences, automating administrative work, and improving student assistance. However, obstacles to AI adoption include worries about data privacy, pushback from professors, and limited funding. The research explores four hypotheses on the impacts of AI adoption using statistical methods such as analysis of variance (ANOVA), chi-square testing, and correlation analysis. While the results show that worries about data privacy have a detrimental effect on AI adoption, they also show that there is a strong correlation between AI integration and student happiness. To guarantee honest, bias-free AI use, training in the technology and ethical standards are necessary, as faculty opposition is still an issue. Some important suggestions include making AI technologies more accessible, enhancing data protection standards, and establishing initiatives to help professors grow professionally. The importance of strategically using AI in higher education cannot be overstated, according to this study.