GERAÇÃO AUTOMATIZADA DE SELOS PARA PERSONALIZAÇÃO DE GAMIFICAÇÃO NO MOODLE USANDO INTELIGÊNCIA ARTIFICIAL GENERATIVA

Abstract

This work presents the development and evaluation of a native Moodle plugin, called **local_selo**, created with the objective of automating the generation of personalized badges as a gamification strategy in Virtual Learning Environments. The solution integrates individual student preferences, collected through a form within Moodle itself, with a Generative Artificial Intelligence model capable of producing personalized images. Initially, a proof of concept was carried out using a language model based on ChatGPT in order to validate the feasibility of integrating Moodle with external AI services. After this preliminary stage, the development evolved to the use of the Stable Diffusion XL Base 1.0 model, made available by the HuggingFace platform, which allows the generation of visual badges from structured textual descriptions. The plugin was built following Moodle’s modular architecture, employing event observers, storage in dedicated tables, asynchronous queue-based processing, and automatic email delivery containing the generated badge. To evaluate user perception, an experiment was conducted with 16 students from the Computing area, who used the plugin in a real context and responded to the System Usability Scale (SUS) instrument. The results indicated good acceptance and ease of use, reinforcing the technical feasibility and pedagogical potential of the proposal. It is concluded that the **local_selo** plugin is technically viable, well integrated into Moodle, and capable of providing a personalized experience for students, although the results cannot be generalized due to convenience sampling. The work also points to promising perspectives for enhancing personalized gamification in Virtual Learning Environments with the support of generative AI.