Between algorithms and affections in the Amazon

experiences with relational and artificial intelligence in guiding Undergraduate Thesis

Autores

  • Marcos Salvatierra Universidade do Estado do Amazonas

DOI:

https://doi.org/10.25767/se.v34i1.41966

Palavras-chave:

Academic supervision, relational intelligence, artificial intelligence, higher education, mathematical modeling

Resumo

This article explores the interplay between relational intelligence and artificial intelligence in higher education, drawing on the supervision of two undergraduate theses completed in 2024 at Amazonas State University. The studies focused on fuzzy optimal control of the pink river dolphin (Inia geoffrensis ) population and numerical modeling of thermal stratification in Lake Tefé – both complex projects rooted in the Amazonian context and requiring advanced mathematical and computational skills. Despite their technical demands, the success of these endeavors hinged on relational practices such as active listening, trust, progressive autonomy, and dialogue. Building on these experiences, the article discusses how artificial and relational intelligence can be integrated to foster innovative, human-centered pedagogy in technical-scientific fields.

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Publicado

2025-07-25

Como Citar

Salvatierra, M. (2025). Between algorithms and affections in the Amazon: experiences with relational and artificial intelligence in guiding Undergraduate Thesis. Saber E Educar, 34(1 (Em Progresso). https://doi.org/10.25767/se.v34i1.41966