Aprendizagem Adaptativa em Aulas Invertidas de Sistemas Distribuídos: um estudo de caso apoiado no G Suite

Resumo

In Computer Science courses, teaching the subject of Distributed Systems presents many challenges mainly related to the students' prior knowledge. Some new learning approaches emerged and can assist to improve learning processes in this scenario, such as Flipped Classroom and Adaptive Learning. In this context, this work presents a proposal to integrate flipped classes with the aid of adaptive learning methods for helping the learning of Distributed Systems. We present a case study using G Suite applied with two classes of Computer Science students.