Formas de aprender em um mundo mais que humano : emaranhados de pessoas, coisas e institui??es na ambientaliza??o do contexto escolar

• Ano de defesa: 2014
• Autor(a) principal: Borges, Marcelo Gules
• Orientador(a): Carvalho, Isabel Cristina de Moura
• Tipo de documento: Tese
• Tipo de acesso: Acesso aberto
• Idioma: por
• Instituição de defesa: Pontif?cia Universidade Cat?lica do Rio Grande do Sul
• Programa de Pós-Graduação: Programa de P?s-Gradua??o em Educa??o
• Departamento: Faculdade de Educa?
• País: BR
• Palavras-chave em Português: EDUCA??O; EDUCA??O AMBIENTAL; APRENDIZAGEM
• Área do conhecimento CNPq: CNPQ::CIENCIAS HUMANAS::EDUCACAO
• Link de acesso: http://tede2.pucrs.br/tede2/handle/tede/3797

This dissertation is an ethnography of two local networks in environmental education in southern Brazil: the Teia de Educa??o Ambiental da Mata Atl?ntica (rural) and the Rede de Educadores Ambientais de Porto Alegre (urban). The main focus of this study is to understand the ways of learning in a more than human world, resulting from the greening phenomenon within the school context in which collectives of humans and nonhuman agents are central. From a new materialist perspective in education, people, things and institutions entangle and produce knowledge as they move between the places they inhabit. By establishing a dialogue between the notions of network and meshwork and the agency and lives of people, things and institutions, this dissertation describes these groups, their institutional relations and their modes of political action and training order. Moreover, it takes into consideration places, bodies and things in their materiality in three case studies which exemplify ways of learning through the environmental education practices of networks: (1) the Environmental Atlas of Porto Alegre, (2) Nina, a character in a children s story and (3) Ju?ara, A?a? of the Atlantic Forest. Finally, by analyzing these local networks of environmental education in a more than human world, we propose that they can be understood as agents moving in environmental education meshworks.