The growing integration of Artificial Intelligence (AI) in Learning Management Systems (LMS) is significantly transforming how educational content is created, managed, and delivered. AI-based tools are increasingly being explored to automate complex tasks, such as generating dynamic and interactive learning resources directly within LMS platforms. This study examines the effectiveness of AI platforms—ChatGPT, Gemini, Claude, and Copilot—in automating the generation of HTML-based self-assessment forms for Moodle.

The research addresses the challenge of creating interactive, dynamic forms that traditionally require external tools but could be embedded directly in Moodle. A comparative experimental methodology was applied, assessing each platform’s ability to generate functional HTML code that adheres to specific formatting and calculation requirements. The study involved a structured three-phase approach: design, execution, and analysis. During the design phase, a standardized prompt was created, requesting the generation of a self-assessment form featuring three columns, with the rightmost column performing automatic sum calculations. In the execution phase, the AI platforms were tested to generate the required forms, and their outputs were assessed based on efficiency, accuracy, and the need for manual adjustments.

The results highlight three fundamental aspects:
(1) the quality and accuracy of AI-generated content depend heavily on the clarity of the provided prompts,
(2) developing "prompt engineering" skills is crucial for educators and administrators aiming to optimize AI-assisted content creation, and
(3) the adoption of low-code solutions can significantly enhance the accessibility of interactive educational tools, particularly in resource-limited environments.

The study underscores the importance of understanding AI tools' capabilities and limitations when integrating them into educational settings. As AI continues to evolve, further research is needed to explore emerging platforms and their potential to improve automation, usability, and pedagogical efficiency in LMS environments.

Keywords: Artificial Intelligence (AI), Learning Management Systems (LMS), MOODLE, Prompt Engineering, Educational Technology.