May Alashwa
ABSTRACT
Generative AI has the potential to revolutionize education through personalized learning, content generation, tutoring and research assistance along with providing fast assessment methods. This review aims to analyze the role of generative AI in transforming education via adaptive platforms, machine learning and Natural Language Processing (NLP) models. The analysis examines the role of AI in enhancing the user experience, customized education and automation of educational materials. Further discussions involve the role of AI in bridging the educational gap, improving learning and accessibility. AI is already playing an important role in enhancing access to education for underserved communities and students with disabilities. AI-based learning and tutoring applications are bridging the gaps for such communities. The integration of AI in education has given us unprecedented opportunities and sparked a paradigm shift in learning and teaching. But despite all these advantages, AI also presents a complex set of challenges. These challenges involve ethical concerns, bias, data privacy and security risks. AI-based education can also undermine academic integrity due to issues such as plagiarism, misinformation, reliability and accuracy of information. The review further explores the strategies to overcome these issues and the future direction of AI by developing such frameworks to balance automation with critical human oversight. This ensures the smooth integration of AI with educational tools to maximize the benefits for students and teachers while mitigating the associated risks.
