International Journal of BIM and Engineering Science IJBES 2571-1075 10.54216/IJBES https://www.americaspg.com/journals/show/3328 2021 2021 Associate Professor, Department of Computer Science and Engineering (AIML), Faculty of Engineering and Technology, Jain (Deemed-to-be) University, Bangalore, India Senthil Senthil Associate Professor, Department of Computer Science & Engineering, R.M.K Engineering College, Chennai, Tamil Nadu, India T. Ramesh Assistant Professor, Faculty of Engineering, CIST Chinmaya Vishwa Vidyapeeth Onakkur, Ernakulam District, Kerala, India K. R. N. Aswini This paper presents an adaptive optimization algorithm for personalized learning pathways in e-learning environments. The proposed algorithm dynamically adjusts the learning path for each student based on their performance, preferences, and learning behavior. By integrating machine learning techniques with a rule-based system, the algorithm optimizes content delivery and ensures a tailored learning experience that aligns with individual needs. The system continuously monitors learners’ progress, adapts to their evolving knowledge levels, and suggests the most relevant resources and activities to enhance engagement and comprehension. Experimental results demonstrate significant improvements in learning outcomes, reduced time to completion, and enhanced user satisfaction, making the approach a promising solution for personalized e-learning systems. 2024 2024 28 36 10.54216/IJBES.090204 https://www.americaspg.com/articleinfo/22/show/3328