Leveraging The C4.5 Algorithm For Adaptive Knowledge Evaluation

Hicham Er-Radi; Souhaib Aammou; Youssef Jdidou; Ikram Amzil

doi:10.2991/978-2-38476-408-2_33

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Leveraging The C4.5 Algorithm For Adaptive Knowledge Evaluation

Authors

Hicham Er-Radi¹^{, *}, Souhaib Aammou², Youssef Jdidou³, Ikram Amzil⁴

¹Ecole Normale Supérieure, Abdelmalek Essaadi University, Tetuan, Morocco

²Ecole Normale Supérieure, Abdelmalek Essaadi University, Tetuan, Morocco

³Ecole Marocaine des Sciences de l‘Ingénieur, Laboratory of Intelligent Systems and Applications (LSIA), Tangier, Morocco

⁴Ecole Normale Supérieure, Abdelmalek Essaadi University, Tetuan, Morocco

^*Corresponding author. Email: erradihicham.doc@gmail.com

Corresponding Author

Hicham Er-Radi

Available Online 20 June 2025.

DOI: 10.2991/978-2-38476-408-2_33 How to use a DOI?
Keywords: Adaptive Learning; C4.5 Decision Tree Algorithm; Data analysis; Machine learning
Abstract: 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.
Open Access: Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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Volume Title: Proceedings of the E-Learning and Smart Engineering Systems (ELSES 2024)
Series: Atlantis Highlights in Social Sciences, Education and Humanities
Publication Date: 20 June 2025
ISBN: 978-2-38476-408-2
ISSN: 2667-128X
DOI: 10.2991/978-2-38476-408-2_33 How to use a DOI?
Open Access: Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Cite this article

ris enw bib

TY  - CONF
AU  - Hicham Er-Radi
AU  - Souhaib Aammou
AU  - Youssef Jdidou
AU  - Ikram Amzil
PY  - 2025
DA  - 2025/06/20
TI  - Leveraging The C4.5 Algorithm For Adaptive Knowledge Evaluation
BT  - Proceedings of the E-Learning and Smart Engineering Systems (ELSES 2024)
PB  - Atlantis Press
SP  - 472
EP  - 484
SN  - 2667-128X
UR  - https://doi.org/10.2991/978-2-38476-408-2_33
DO  - 10.2991/978-2-38476-408-2_33
ID  - Er-Radi2025
ER  -

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