APRIMORANDO O ENSINO UNIVERSITÁRIO: EXPLORANDO AS PODEROSAS TÉCNICAS DE INTELIGÊNCIA ARTIFICIAL, COM ENFOQUE EM CHABOTS COMO FERRAMENTA DE APOIO

• DOI: 10.22533/at.ed.9442326095

• Palavras-chave: Sistemas Computacionais Inteligentes, Soluções Problemas, Ensino Universitário, Robótica.

• Keywords: Intelligent computing systems, problem-solving solutions, university education, Robotics

• Abstract: This article discusses the use of artificial intelligence (AI) techniques - specifically machine learning, evolutionary algorithms, and fuzzy logic - as support tools in university education. These techniques help improve the understanding of complex concepts and solve challenging problems. Machine learning allows systems to improve from data. Evolutionary algorithms seek ideal solutions for complex problems, drawing inspiration from the principles of biological evolution. Fuzzy logic is useful for dealing with uncertain or vague situations, especially in problems with many variables and complexities. In the teaching of disciplines such as robotics, these AI techniques have a significant impact on improving learning, allowing students to better understand theoretical concepts by dealing with practical examples and creating solutions for real scenarios. The text concludes by emphasizing the importance of these techniques for training innovative professionals and the need for future research to continue improving education.