THE MAGIC OF NEURAL NETWORKS: INNOVATIONS IN EDUCATIONAL PROJECTS

Abstract

This study aimed to analyze the impact of neural networks in education, especially with regard to the personalization of teaching, digital inclusion and the relationship with the principles of education 4.0. The research was conducted through a literature review, considering relevant studies and publications on the use of neural networks in educational contexts. The advantages and challenges of implementing these technologies in teaching were analyzed, highlighting the adaptation of content and data analysis to promote more efficient and inclusive learning. The results indicated that neural networks can transform pedagogical practices, providing personalization of learning and continuous monitoring of student performance. In addition, it was evidenced that these technologies contribute to digital inclusion, especially for students with special needs. However, challenges such as the cost of implementation, the need for educator training, and resistance to technology still need to be overcome. The final considerations pointed out that, although the benefits are significant, investment in infrastructure and continuous training of teachers is necessary to ensure the success of these innovations. The research also suggests that future studies should be conducted to complement the findings, focusing on the practical application of neural networks in the educational setting.