Teacher capacitation at the Federal Institute of São Paulo through Social Network Analysis -SNA.

Abstract

In Brazil, there are numerous decrees, laws and regulations that promote the training of personnel, aiming at the improvement of public services provided. However, there is a difficulty in mapping which trainings are being carried out by employees of Federal Education Institutions and through Social Network Analysis it is possible to solve this issue. The objective of this study was to characterize the training of teachers at the Federal Institute of São Paulo through Social Network Analysis. For this, teachers enrolled in master's and doctoral programs were selected. With this, it was possible to identify the college with teachers in training and their respective training courses. The data were separated by level and course and through gephi software it was possible to build networks of graphs. The values of Social Network Analysis for teachers enrolled in the Master's program indicated that the São João da Boa Vista and Presidente Epitácio colleges have the highest number of teachers and the most popular courses: Education, Mechanical Engineering and Mathematics. As for the doctorate, São Carlos and São João da Boa Vista have the largest number of employees in training and the courses in Electrical Engineering, Education and Computer Science are in greatest demand. We can conclude that the Social Network Analysis indicated a great demand for training courses in the exact sciences area (Mechanical Engineering, Electrical Engineering and Computer Science), moreover Education has a great impact on teachers who seek Master's training.