Adaptive Learning Pathways: Advancing Personalization in Online Education Platforms

The transition to online education has underscored the need for personalized learning pathways that cater to diverse student needs. Adaptive learning pathways represent a pivotal advancement in online education, providing personalized learning experiences that align with individual students' needs and preferences. This review paper examines the development of algorithms designed to create personalized learning pathways based on student interactions and performance in online courses. By leveraging data mining, machine learning, and natural language processing (NLP), educational institutions can enhance student engagement, satisfaction, and performance. The paper also synthesizes recent studies, methodologies, and technological advancements in the field, highlighting the impact and challenges of implementing personalized learning systems.