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Semear colaboração: a estrutura Scrum no 1º Ciclo do Ensino Básico
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| 120.77 MB | Adobe PDF |
Advisor(s)
Abstract(s)
O presente Relatório de Estágio insere-se na unidade curricular de Prática de Ensino Supervisionada, do Mestrado em Ensino do 1º Ciclo do Ensino Básico e de Matemática e
Ciências Naturais no 2º Ciclo do Ensino Básico, da Escola Superior de Educação do Instituto Politécnico do Porto. Atendendo ao perfil duplo de formação, o relatório reflete, de
forma crítica e articulada, o percurso formativo da mestranda ao longo de um ano letivo, em dois contextos educativos distintos: uma turma do 6º ano, no primeiro semestre, e
uma turma do 3º ano, no segundo semestre.
O documento estrutura-se em três grandes momentos: a fundamentação teórica que sustenta as opções pedagógicas adotadas; a reflexão crítica sobre a prática nas áreas de
Matemática, Ciências Naturais e Articulação de Saberes; e o projeto de investigação, centrado numa abordagem inovadora e transformadora da ação educativa. A investigação
teve como objetivos compreender de que forma a Inteligência Artificial pode apoiar os alunos do 1º CEB a trabalhar em equipa numa estrutura Scrum, e de que modo esta
metodologia contribui para uma maior eficiência no trabalho de grupo. Implementado numa turma de 3º ano, o estudo envolveu 22 crianças e revelou o impacto do modelo
Scrum criado pelas crianças com apoio da IA.
Este percurso permitiu à mestranda construir saberes profissionais alicerçados numa prática pedagógica fundamentada e crítica, desenvolvendo uma identidade docente
reflexiva e inovadora, capaz de responder com criatividade e rigor aos desafios da escola contemporânea.
This Internship Report is part of the curricular unit of Supervised Teaching Practice, within the Master’s Degree in Teaching for the 1st Cycle of Basic Education and in Mathematics and Natural Sciences for the 2nd Cycle of Basic Education, at the School of Education of the Polytechnic Institute of Porto. Considering the dual qualification profile, the report critically and coherently reflects the trainee teacher’s formative journey over one academic year, developed in two distinct educational contexts: a 6th-grade class in the first semester and a 3rd-grade class in the second semester. The document is structured around three main sections: the theoretical framework supporting the pedagogical choices made; a critical reflection on the teaching practice in the areas of Mathematics, Natural Sciences, and Interdisciplinary Learning; and the research project, focused on an innovative and transformative approach to educational practice. The research aimed to understand how Artificial Intelligence can support students in the 1st Cycle of Basic Education in working collaboratively within a Scrum framework, and how this methodology contributes to greater efficiency in group work. Implemented in a 3rdgrade class, the study involved 22 children and highlighted the impact of a Scrum model created by the children, with the support of AI. This process enabled the trainee to build professional knowledge grounded in a pedagogical practice that is informed, reflective, and critical, fostering the development of a reflective and innovative teaching identity, capable of responding with creativity and rigour to the challenges of contemporary schooling.
This Internship Report is part of the curricular unit of Supervised Teaching Practice, within the Master’s Degree in Teaching for the 1st Cycle of Basic Education and in Mathematics and Natural Sciences for the 2nd Cycle of Basic Education, at the School of Education of the Polytechnic Institute of Porto. Considering the dual qualification profile, the report critically and coherently reflects the trainee teacher’s formative journey over one academic year, developed in two distinct educational contexts: a 6th-grade class in the first semester and a 3rd-grade class in the second semester. The document is structured around three main sections: the theoretical framework supporting the pedagogical choices made; a critical reflection on the teaching practice in the areas of Mathematics, Natural Sciences, and Interdisciplinary Learning; and the research project, focused on an innovative and transformative approach to educational practice. The research aimed to understand how Artificial Intelligence can support students in the 1st Cycle of Basic Education in working collaboratively within a Scrum framework, and how this methodology contributes to greater efficiency in group work. Implemented in a 3rdgrade class, the study involved 22 children and highlighted the impact of a Scrum model created by the children, with the support of AI. This process enabled the trainee to build professional knowledge grounded in a pedagogical practice that is informed, reflective, and critical, fostering the development of a reflective and innovative teaching identity, capable of responding with creativity and rigour to the challenges of contemporary schooling.
Description
Keywords
Inovação Metodologias ágeis Scrum Inteligência artificial Innovation Agile methodologies Artificial intelligence
Pedagogical Context
Citation
Publisher
Instituto Politécnico do Porto. Escola Superior de Educação
CC License
Without CC licence