The Rise of AI in Higher Education: Implications for Teaching, Learning, and Equity

Abstract

This study looks into the growing use of artificial intelligence (AI) in higher education, with an emphasis on its effects on teaching, learning, and equity. Using international case studies, survey findings, and existing literature, the study demonstrates AI's ability to improve efficiency, adapt learning experiences, and expand access to educational content. The benefits include reduced administrative workload, tailored instruction, and help for students with disabilities. However, obstacles such as algorithmic bias, data privacy concerns, academic integrity issues, and unequal access to AI tools threaten to exacerbate existing educational disparities. The findings reveal a mixed situation: while many students utilize AI and appreciate its benefits, many educators remain wary about overdependence, limited creativity, and diminished critical thinking. The study proposes enhancing AI literacy, ensuring equitable access to AI technologies, and creating inclusive, transparent, and culturally sensitive AI systems.  In order to optimize AI's advantages and mitigate any potential drawbacks, collaboration between legislators, educators, tech developers, and students is ultimately necessary for its successful incorporation in higher education.

Keywords: Artificial Intelligence, Higher Education, Equity, Teaching and Learning

DOI: 10.7176/JEP/17-6-14

Publication date: June 30^th 2026