Proceedings of The 3rd International Conference on Research in Science, Engineering and Technology
Monitoring the Efficiency of Brazilian University Education through Based Solutions and Mobile Applications
Greg Antônio Sullivan, Samuel Henrique Rizzon, Gustavo Alves Fernandes, Luiz Melk de Carvalho, Flávio Henrique Batista de Souza
Optimizing teaching efficiency is a major challenge in the training process of students. The teaching process was seriously modified by the pandemic due to COVID-19. Communication resources and distance learning platforms are being used with a demand never seen before. However, Brazilian universities are planning to return, even if gradual and monitored, for classroom teaching. So, it is feasible that a tool for assessing the quality of teaching, under the perspective of the students, can contribute to guiding the quality of the class taught by the teacher. Thus, this paper uses the BIG5 model, which is based on dividing the personality into five classification factors described by psychology, to demonstrate the opinion of the students in the institutional evaluation. The research included the development and use of a solution, based on mobile application technologies, for the collection, consolidation and analysis of the individual efficiency of each class, of each teacher evaluated, from the perspective of the students. The study had the permission and consent of each of the involved (teachers and students) at all stages, focusing on an analysis with the rigors and scope that this subject (and its complexity) requires. The experiments were carried out before the academic period. As a result, the developed tool proved to be an effective and efficient means for collecting data and studies aimed at the evaluation and discussion of teaching methodologies during classes, including an assessment of how it will be possible to take into account the pandemic (during and post-COVID-19).
Keywords: BIG5, personality, institutional evaluation, feedback, mobile application.