EVOLUÇÃO E IMPACTO DA INTELIGÊNCIA CIENTE DO CONTEXTO: UM ESTUDO SOBRE O USO DE MAPAS COGNITIVOS FUZZY PARA A PERSONALIZAÇÃO DA APRENDIZAGEM.

• DOI: https://doi.org/10.22533/at.ed.9782419114

• Palavras-chave: Mapas Cognitivos Fuzzy, Machine Learning, Personalização da Aprendizagem.

• Keywords: Fuzzy Cognitive Maps, Machine Learning, Learning Personalization.

• Abstract: This work proposes the use of a fuzzy, cognitive maps to compile data and information from the classroom to an auxiliary decision-making system for the pace of or speed of the concepts of a discipline. This is possible due to the use of Machine Learning systems and/or hybrid systems in the classroom context, which can revolutionize teaching by adapting to the needs of students and teachers in real time. This paper proposes a system architecture that uses variables and/or concepts derived from reading sensors and IoT devices to collect contextual data and apply machine learning algorithms in parallel. The parameters observed include student engagement, comprehension of the content, environmental variables, teacher behaviour and social interactions. In addition, we discuss the most suitable machine learning models for this application, such as convolutional neural networks (CNN), convolutional neural networks, and convolutional neural networks. And, finally, a conclusion and implementation of the techniques mentioned will be integrated into the FCM for decision-making.