This paper presents a systematic literature review on AI-based learning style detection in adaptive learning systems, focusing on the integration of AI in education to enhance personalized learning experiences. Traditional methods like tests and questionnaires are reliable but face challenges such as student reluctance and limited self-awareness. The study aims to address these gaps by evaluating 40 selected papers from 2014 to 2022 using Web of Science and Scopus. The review highlights the effectiveness of AI techniques, particularly data-driven approaches, in enhancing learning adaptation. The Felder-Silverman model and AI algorithms like Decision Trees and Artificial Neural Networks are found to be versatile and effective across diverse educational contexts. The analysis also underscores the importance of Moodle in dataset mining and learning experiments. The study provides valuable insights into designing and implementing AI-driven educational solutions, emphasizing the need to adapt course content according to learning styles to improve learning outcomes.This paper presents a systematic literature review on AI-based learning style detection in adaptive learning systems, focusing on the integration of AI in education to enhance personalized learning experiences. Traditional methods like tests and questionnaires are reliable but face challenges such as student reluctance and limited self-awareness. The study aims to address these gaps by evaluating 40 selected papers from 2014 to 2022 using Web of Science and Scopus. The review highlights the effectiveness of AI techniques, particularly data-driven approaches, in enhancing learning adaptation. The Felder-Silverman model and AI algorithms like Decision Trees and Artificial Neural Networks are found to be versatile and effective across diverse educational contexts. The analysis also underscores the importance of Moodle in dataset mining and learning experiments. The study provides valuable insights into designing and implementing AI-driven educational solutions, emphasizing the need to adapt course content according to learning styles to improve learning outcomes.