This study explores the integration of artificial intelligence (AI) in personalised learning, examining its opportunities, challenges, and ethical implications. The investigation employed a quantitative research approach, with surveys distributed to a sample of students and teachers from various educational settings. The survey instrument is designed to assess participants’ perceptions, experiences, and attitudes towards AI-based personalised learning platforms. Moreover, the research investigates the challenges encountered in implementing AI technologies in educational contexts and examines the ethical considerations surrounding data privacy, algorithmic bias, and student autonomy. Quantitative data collected from the surveys is analysed using descriptive statistics, correlation analysis, and regression modelling techniques to identify patterns, trends, and relationships among variables. The findings from the quantitative analysis shed light on the effectiveness of AI-driven personalised learning in enhancing student engagement, academic performance, and satisfaction, as well as the drawbacks and ethical implications of the use of AI in personalised learning experiences. This study contributes empirical evidence to the ongoing discourse on AI-enabled personalised learning, informing policymakers, educators, and technology developers about the opportunities and challenges associated with its adoption in educational practice.