Students' perceptions about the use of flipped classroom in the field of electronic electrical engineering

Abstract

The objective of this mixed research is to analyze the impact of flipped classroom in the educational process on the Combinational Circuits through data science and machine learning. Flipped classroom facilitates the organization of active activities before, during and after the class. The participants are 17 students of Electronic Electrical Engineering who took the Digital Design course in the National Autonomous University of Mexico during the 2019 school year. The results of machine learning indicate that the consultation of the videos before the class, resolution of the exercises during the class through the Quartus software and realization of the laboratory practices after the class positively influence the development of skills on circuit design. Data science identifies 3 predictive models of the use of flipped classroom through the decision tree technique. Finally, teachers can improve the learning process, develop the skills of students, build new educational spaces and carry out creative activities through flipped classroom.