Evaluating the effectiveness of e-learning implementation in Saudi schools using machine learning
Year: 2025
Type: article
Abstract: The adoption of e-learning methods in Saudi schools has gained increasing importance in recent years, particularly due to the global impact of the COVID-19 pandemic. While e-learning offers several advantages, such as enhanced accessibility and flexibility, it also presents various challenges that require careful consideration. This study aims to identify the primary challenges Saudi schools face when implementing e-learning methods and to suggest potential solutions to address these challenges. The study employs a literature review approach for both data collection and analysis. Additionally, it aims to highlight various models and frameworks proposed in the literature that address e-learning challenges using machine learning (ML) techniques. The findings indicate that Saudi schools encounter several issues, including infrastructure problems, technological challenges, inadequate teacher training and support, low student engagement and motivation, and concerns related to academic integrity and assessment.
Author: Weam M. Binjumah
Institution: Taibah University
Language: English
Subfield: Information Systems
Field: Computer Science
Domain: Physical Sciences
SDG: Quality education
Open Access status: gold
Estimated APC paid: $469
OpenAlex ID: W4410730228