Leveraging The C4.5 Algorithm For Adaptive Knowledge Evaluation
Hicham Er-radi, Souhaib Aammou, Youssef Jdidou, Ikram Amzil · Atlantis highlights in social sciences, education and humanities/Atlantis Highlights in Social Sciences, Education and Humanities · 2025
This research presents a unique e-learning system that adjusts to the specific knowledge levels of individual learners.It employs the C4.5 decision tree algorithm to analyze students' performance based on their responses in quizzes.This approach allows the system to offer a learning experience that is customized to each student's needs and progress.The study's findings demonstrate a significant improvement in students' knowledge, particularly shown by a decrease in beginners and an increase in those at intermediate and advanced levels.This progress highlights the effectiveness of the system in enhancing educational growth.Additionally, the research provides valuable insights into how adaptive learning technologies can be used to personalize education, suggesting a promising direction for future educational tools and methodologies.