This research paper delves into the transformative potential of Adaptive Learning Systems (ALS) in revolutionizing education through the integration of Artificial Intelligence (AI). With traditional educational approaches often failing to accommodate individual learning needs, the answer to this problem is adaptive learning system which focuses on personalized content delivery, instructional methods, and assessments. Through case studies spanning various educational contexts, including various countries, higher education, and diverse cultures, we have evaluated the effectiveness of different ALS techniques in terms of different educational needs and requirements. By reviewing these techniques in terms of their features, capabilities and functionalities, we have tried to figure out, how does the use of AI in adaptive learning systems contribute to personalized learning experiences for students. The paper also highlights the key challenges and limitations associated with the integration of AI in ALS. It addresses issues like data protection, analyzes the ALS principles and investigates the ethical consideration which arises during implementation of AI in adaptive learning systems. Furthermore, it underscores the pivotal role educators’ play in collaborating with AI systems to create a balanced learning environment. By providing insights into future directions, such as advancements in personalization techniques and lifelong learning, this paper contributes to understanding the complex interplay between AI and personalized education. Ultimately, the research advocates for the widespread integration of ALS as a transformative approach that has the potential to redefine education and cater to the diverse needs of learners in the digital age.