Enhancing Learning Management Systems with AI: Recommendations from Moodle Usage
Year: 2025
Type: conference-paper
Abstract: Learning Management Systems (LMS) are defined as web-based platforms designed to facilitate the planning, delivery, management, and assessment of educational courses and training programs. These systems provide a structured virtual environment where learners, instructors, and administrators can interact through various tools. With the advent of artificial intelligence, several approaches have been explored to reshape and adapt LMS functionalities, enhancing their ability to meet the growing demand for AI-based tools in various pedagogical activities. Among existing LMS platforms, Moodle is one of the most widely used. It facilitates online education and offers a rich array of tools. However, feedback from computer science students highlights both its strengths and areas for improvement, particularly in terms of usability, engagement, and automation. This paper analyzes student feedback and examines how artificial intelligence (AI) can address common challenges in Moodle. Furthermore, it discusses potential AI-driven enhancements based on student insights and proposes recommendations for future research and implementation.
Author: Lounas, Razika
Institution: University of Boumerdes
Language: English
Subfield: Information Systems
Field: Computer Science
Domain: Physical Sciences
SDG: Quality education
Open Access status: green
OpenAlex ID: W7104388443
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