aspg-22-3328-1791483559 20261008181919 American Scientific Publishing Group admin@americaspg.com American Scientific Publishing Group International Journal of BIM and Engineering Science IJBES 2571-1075 2024 9 2 Senthil Kumar R. Associate Professor, Department of Computer Science and Engineering (AIML), Faculty of Engineering and Technology, Jain (Deemed-to-be) University, Bangalore, India T. Ramesh Associate Professor, Department of Computer Science & Engineering, R.M.K Engineering College, Chennai, Tamil Nadu, India K. R. N. Aswini Assistant Professor, Faculty of Engineering, CIST Chinmaya Vishwa Vidyapeeth Onakkur, Ernakulam District, Kerala, India 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 22 27 3328 https://creativecommons.org/licenses/by/4.0/ 10.54216/IJBES.090204 https://www.americaspg.com/journal/22/article/3328 https://www.americaspg.com/storage/articles/manuscripts/01KZA2DJXQV42M9SNEXF6KHRQ4.pdf