Abstract: Generative AI, particularly Large Language Models (LLMs) such as ChatGPT, has rapidly transformed the landscape of higher education. This project investigates how the integration of such AI tools affects student academic performance, drawing on meta-analyses, empirical studies, and survey-based insights. Evidence suggests that AI-assisted learning can improve academic outcomes, learning perceptions, and higher-order thinking. Yet, challenges remain around assessment integrity, teacher preparedness, and ethical use. The report develops a practical framework for integrating GenAI in university environments, emphasizing teacher support, equitable access, and rigorous evaluation. Key recommendations include enhancing faculty training, redesigning assessments for the AI age, and continuous monitoring of student engagement and outcomes.

Downloads: | DOI: 10.17148/IARJSET.2025.121039