ARTIFICIAL INTELLIGENCE IN HIGHER EDUCATION: OPPORTUNITIES, CHALLENGES, AND IMPLICATIONS FOR TEACHING AND LEARNING.
Abstract
The integration of artificial intelligence (AI) into higher education has significantly reshaped teaching, learning, and institutional management. Universities worldwide are increasingly adopting AI technologies such as intelligent tutoring systems, learning analytics, chatbots, and generative AI tools to enhance educational experiences and improve institutional efficiency. Despite these advantages, the adoption of AI also raises critical concerns regarding academic integrity, data privacy, algorithmic bias, and the evolving role of educators. This study investigates the impact of AI technologies on higher education through a systematic review of existing research and analysis of current applications in universities. The findings indicate that AI enhances personalized learning, improves student retention through predictive analytics, and supports administrative automation. However, ethical challenges and governance issues remain significant barriers to effective implementation. The study concludes that higher education institutions must develop responsible AI frameworks, invest in faculty training, and strengthen digital literacy among students to ensure that AI supports educational development without compromising academic integrity.
Keywords
Artificial intelligence, higher education, educational technology, learning analytics, digital learning
References
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