International Journal for Innovation Education and Research ISSN 2411-2933 01-03-2022 International Educative Research Foundation and Publisher © 2022 pg. 174 Generational knowledge and learning in the productive practices of traditional coastal communities, Brazilian Amazon Giselle da Silva Silva Mestra do Programa de pós graduação em Linguagens e Saberes da Amazônia, Secretaria Municipal de Educação, Augusto Correa Pará, Brasil. Telefone (91) 98249-6351 Email: giselle15102008@gmail.com Francisco Pereira de Oliveira Professor Doutor do Programa de pós graduação em Linguagens e Saberes da Amazônia, Universidade Federal do Pará Bragança, Pará, Brasil. Email: foliveiranono@yahoo.com.br Jair Francisco Cecim da Silva Professor Doutor do Programa de pós graduação em Linguagens e Saberes da Amazônia, Universidade Federal do Pará Bragança, Pará, Brasil. Email: jccecim@gmail.com Silvia Helena Benchimol Barros Professora Doutora do Programa de pós graduação em Linguagens e Saberes da Amazônia, Universidade Federal do Pará Bragança, Pará, Brasil. Email: silviabenchimol@hotmail.com Abstract The present study took place in traditional coastal communities located around and within the Marine Extractive Reserves (RESEX-Mar) of Tracuateua and Araí-Peroba, Northeast of Pará, Brazilian Amazon, in the period between 2019 and 2020, involving thirty families, whose self-sustaining activities depend on family farming, artisanal fishing and crab fishing. The aimed objectives were to investigate the generational knowledges and how descendants learn about them, considering the environmental productive practices of such traditional communities, as well as to reflect on the ways the transmission processes occur to the following generations. The employed method involved a qualitative approach, with field observation and interview techniques. In data collection, the following instruments were used: a script with semi-structured questions to conduct the interviews and field notes taken during observation periods. Data analysis was based on the organization, tabulation and treatment of the linguistic terms collected from the interviews with the support of graphics generated by the IRAMUTEQ Software. Subsequently,