Enhancing Learning Management Systems with AI: Recommendations from Moodle Usage

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.

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-11-07
DOI
https://doi.org/10.5281/zenodo.17550231
Primary Topic
Technology-Enhanced Education Studies
Type
article
Field-Weighted Citation Impact
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article

Enhancing Learning Management Systems with AI: Recommendations from Moodle Usage

Zenodo (CERN European Organization for Nuclear Research)
Technology-Enhanced Education Studies
article

Enhancing Learning Management Systems with AI: Recommendations from Moodle Usage

article en

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.

Zenodo (CERN European Organization for Nuclear Research)
University of Boumerdes (DZ)
Quality Education
Openalex Percentile: Top 30%
Technology-Enhanced Education Studies
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Enhancing Learning Management Systems with AI: Recommendations from Moodle Usage · Zenodo (CERN European Organization for Nuclear Research) (2025) | TGRS Research Map | TGRS