Enhancement of information retrieval systems on digital educational platforms

2025;
: pp. 1005–1011
Received: April 26, 2025
Revised: September 28, 2025
Accepted: September 30, 2025

Safeh N., Rachdi M., Namir A., Jihal H.  Enhancement of information retrieval systems on digital educational platforms.  Mathematical Modeling and Computing. Vol. 12, No. 3, pp. 1105–1011 (2025)

1
Information Technology and Modeling Laboratory, Faculty of Sciences Ben M'sick, Hassan II University of Casablanca
2
National Higher school of Art and Design (ENSAD Casablanca), Hassan II University of Casablanca
3
Information Technology and Modeling Laboratory, Faculty of Sciences Ben M'sick, Hassan II University of Casablanca
4
Information Technology and Modeling Laboratory, Faculty of Sciences Ben M'sick, Hassan II University of Casablanca

During the pandemic, the use of remote work through IT tools has highlighted the importance of information retrieval.  With the rising digitalization of the world, automation continues to expand.  In the field of education, distance learning has become widespread, while hybrid training remains a viable alternative.  Students rapidly adapted to distance learning and began using e-learning systems, despite their limited proficiency in navigating various features.  One of the main challenges they faced was the inadequacy of the retrieved information.  This study aims to propose a new approach to information retrieval within an e-learning system that adheres to the SCORM standard. Students will be able to search the teaching platform by entering query keywords.  In cases where the requested resource is unavailable, the system extends the search to external sources on the Internet, using an advanced information retrieval method that has shown highly promising results.