Banca de DEFESA: GUSTAVO LIMA DO NASCIMENTO

Uma banca de DEFESA de MESTRADO foi cadastrada pelo programa.
STUDENT : GUSTAVO LIMA DO NASCIMENTO
DATE: 15/12/2022
TIME: 09:00
LOCAL: https://meet.google.com/mqq-fkdq-mak
TITLE:

DISTANCE TRAINING IN COMPUTATIONAL THINKING FOR ELEMENTARY SCHOOL TEACHERS WITH A PRACTICAL AND INTERDISCIPLINARY APPROACH


KEY WORDS:

Computational Thinking; Distance Education; Continuing Education; Active Learning.


PAGES: 160
BIG AREA: Ciências Humanas
AREA: Educação
SUBÁREA: Ensino-Aprendizagem
SPECIALTY: Métodos e Técnicas de Ensino
SUMMARY:

The globalized world is, in general, in need of professionals who are increasingly prepared to solve problems in an innovative and enterprising way, involving several areas of knowledge. This need has provoked debates in the world about what is the best way to constitute an education capable of preparing citizens to act in this context. One of the themes highlighted in these debates is Computational Thinking. The Brazilian educational model, in general terms, is incapable of forming this type of professional. Today's educators, who are responsible for ensuring this type of training, have not been trained in this perspective and, therefore, have not experienced innovative practices with Computational Thinking that allow stimulating problem-solving skills in their students. In this context, the Norte-rio-grandense Program of Computational Thinking is inserted, which has helped to change this reality by offering continuing education courses for educators, in face-to-face and remote formats, with a focus on pedagogical praxis, active learning and interdisciplinarity. But given the dimensions of a country like Brazil and the urgent need for teacher training in Computational Thinking, it is necessary to improve the courses offered, aiming to bring this type of training to a much larger number of educators. This need raises the following problem: how to design a training in Computational Thinking, with a focus on pedagogical praxis, active learning and interdisciplinarity, in order to provide the didactic transposition of knowledge to a much larger number of educators? In search of a solution to this problem, this research aims to improve the model of teacher training courses of the North Rio Grande Program of Computational Thinking, with the objective of validating a course model in the open and massive online format (MOOC) . For this, a literature review and an analysis of existing courses in the Brazilian context were carried out, which allowed gathering the necessary information for the construction of a new course proposal. This new proposal was offered in the Moodle environment, serving approximately 200 course participants from 15 Brazilian states, trained in different areas of knowledge. Throughout the course, a good evolution of most of the course participants was observed in terms of acquiring Computational Thinking skills, since they produced several learning objects adapted to their area of expertise and, consequently, to the reality of their classroom. With these results, the new EaD training model proves to be a driver of the North Rio Grande Program of Computational Thinking, being able to take training to a much larger number of educators, while maintaining the quality of the work that was already being done in other course formats.


COMMITTEE MEMBERS:
Presidente - 2978747 - CHARLES ANDRYE GALVAO MADEIRA
Interno - 1363515 - ANDRE MAURICIO CUNHA CAMPOS
Interna - 2432953 - CELIA MARIA DE ARAUJO
Externa à Instituição - TACIANA PONTUAL DA ROCHA FALCÃO - UFRPE
Notícia cadastrada em: 01/12/2022 11:10
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