Inteligência artificial na personalização do ensino: um estudo com módulo GPT na plataforma LStyle

• Autor(a) principal: Brasil, Guilherme Wilgner Santos
• Data de Publicação: 2025
• Tipo de documento: Trabalho de conclusão de curso
• Idioma: por
• Título da fonte: Repositório Institucional da UTFPR (da Universidade Tecnológica Federal do Paraná (RIUT))
• Texto Completo: http://repositorio.utfpr.edu.br/jspui/handle/1/38130
• topic: Inteligência artificial - Aplicações educacionais; Aprendizagem; Tecnologia de ponta e educação; Artificial intelligence - Educational application; Learning; High technology and education; CNPQ::CIENCIAS EXATAS E DA TERRA::CIENCIA DA COMPUTACAO

This Final Undergraduate Project presents the third version of the educational platform LStyle, focused on personalized teaching through the use of artificial intelligence. This version introduces new features such as an automatic lesson plan generation module based on the learning styles of Kolb and Honey-Alonso, as well as integration with the OpenAI API for creating didactic content. An administrative dashboard was also implemented, enabling statistical report generation and management of project participants and published articles. The entire system was developed using technologies such as TypeScript, Node.js, and React, structured within a RESTful architecture. To validate the core functionality, a lab page was created allowing anonymous access by teachers without requiring registration or personal data. Finally, the personalized features of LStyle were implemented and validated through the Technology Acceptance Model, providing educators with the necessary tools to support personalized teaching practices.