Generative Artificial Intelligence and Higher Education: An Overview of Emerging Trends for a Sustainable Future of Generation Z (Gen Z)

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Annu Chauhan
Meenu Shant Priya

Abstract

This study investigates the foundations and current research streams of Generative Artificial Intelligence (GenAI) within the education sector through a comprehensive bibliometric and systematic literature review (SLR). Drawing on 170 articles published in high ranked journals and indexed in Scopus, the analysis identifies nations, universities, and authors with the highest publication and citation rates, as well as the most frequently used keywords and trending topics over time. The study further explores collaboration patterns among authors and nations, highlighting Mexico’s significant role in cross border partnerships, particularly with the United States, China, and the United Kingdom.The findings reveal that terms such as Gen Z, higher education, and sustainable education dominate the discourse, reflecting the intersection of technological innovation and generational perspectives. Research contributions span diverse disciplines, including social sciences, computer science, business management, engineering, and arts and humanities, with representation from regions such as India, the United Kingdom, Europe, America, Australia, and Asia.By employing tools such as Biblioshiny, VOSviewer, and MS Excel, the study provides insights into student perspectives on the influence of GenAI in higher education. Results underscore the urgent need to reform educational practices to prepare teachers, students, and administrators for future roles in a sector increasingly shaped by GenAI.This examination offers valuable guidance for academics, policymakers, and industry stakeholders seeking to understand the preferences, challenges, and opportunities associated with GenAI adoption. By identifying key themes, trends, and gaps in the literature, the study establishes a foundation for future research directions, particularly in relation to Gen Z’s engagement with higher education in a rapidly evolving technological landscape.

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How to Cite
Annu Chauhan, & Meenu Shant Priya. (2026). Generative Artificial Intelligence and Higher Education: An Overview of Emerging Trends for a Sustainable Future of Generation Z (Gen Z). Enterprise Development and Microfinance, 36(1s), 145–170. Retrieved from https://papjournals.com/index.php/edm/article/view/758
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