In recent years, Artificial Intelligence (AI) has emerged as a transformative force in education, reshaping traditional teaching methodologies and redefining learning experiences. The integration of AI-driven technologies has introduced adaptive learning systems, intelligent tutoring platforms, automated assessment tools, and data-driven decision-making processes that aim to enhance personalisation and learning efficiency. However, alongside these advancements, important questions arise regarding the wide-ranging, social, and ethical implications of AI adoption in educational settings.

This study examines the impact of Artificial Intelligence on education and personalised learning through a survey-based statistical approach. Primary data were collected from higher education students using a structured questionnaire to assess awareness, usage patterns, perceived effectiveness, and concerns related to AI tools in learning environments. Descriptive statistical methods, including percentage analysis and measures of central tendency, were employed to interpret the data. The findings indicate that AI technologies are widely recognised for their ability to improve learning flexibility, conceptual understanding, and individualised academic support. Respondents reported that AI-assisted platforms contribute to enhanced engagement and self-paced learning. At the same time, concerns were expressed regarding over dependence on AI systems, academic integrity, reduced human interaction, and data privacy issues