Análise da formação de professores das séries iniciais da educação básica no Curso Normal Médio: a percepção de profissionais da educação da Gerência Regional de Educação Litoral Sul - PE

Abstract

The present dissertation analyzed the teacher training course on high school level, in six schools of the Educational State Network of the State of Pernambuco, linked to the Regional Educational Management (GRE, in Portuguese) of the South Coast. The study is justified considering the author’s experience as a teacher on such course, as well as an Educational Analyst at the GRE South Coast, since 2008, holding such position until this research was conducted. This study is important Regional Management of the South Coast, as it reveals the processes of the teacher training course on high school level, its challenges and possibilities. The research was developed based on qualitative methodology, the study case method, interviews and documental research in six schools. Semi structured interviews were conducted with technicians of the Education Secretariat of the State of Pernambuco, the manager of the GRE South Coast, managers and pedagogical practice teachers of each school unit, besides documental analysis and bibliographical research. As theoretical support we utilized works by Luckesi (2000), Pimenta (1997, 2002, 2005, 2006), Freire (1996, 2003), Gatti (2000), Veiga (2006), Santiago (1998), Sacristán (2000), Silva (2000), Libâneo (2005), Luck (2000) and Guimarães (2004). An educational action plan was structured to strengthen the Teacher Training course on high school level, from the gaps revealed in the study related to the continuing training of the training teachers, books specific to teacher training on the libraries, amount of schools that offer such course on the same town, adequacy of the course follow-up by the oversight coordination, financial resources, disclosure and communication with the community and course coordinator with a suitable profile, applicable at the GRE South Coast, as well as to the entire educational state network.