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INTEGRATION OF ARTIFICIAL INTELLIGENCE AND RENEWABLE ENERGIES IN SCIENCE EDUCATION: FOUNDATIONS AND PATHWAYS FOR INTERDISCIPLINARITY

Neto AF;
Castro AM;
Araújo EM;
de Melo ECM;
de Menezes FF;
da Silva HG;
Costa IGV;
Fontes IM;
do Nascimento JIS;
Barbosa MC;
Diniz VCC;
Gomes RLR

Alcides Feitosa Neto

Argentina Mororó Castro

Evandro de Menezes Araújo

Erica Cristina Machado de Melo

Fabiola Fernandes de Menezes

Herika Gomes da Silva

Ilcimar Gomes Vieira Costa

Irene Mendes Fontes

José Ismael Sales do Nascimento

Márcio Carneiro Barbosa

Vinicius Cavalcanti Carlos Diniz

Rickardo Léo Ramos Gomes


Abstract

This chapter explores the integration of Artificial Intelligence (AI) into science education, emphasizing its theoretical foundations and pedagogical potential. It highlights the importance of interdisciplinarity in fostering a more dynamic and personalized learning experience. Furthermore, it examines the ethical and epistemological challenges associated with this transformation in the educational context. The research adopted a qualitative approach, essential for an in-depth exploration of the relationship between Artificial Intelligence (AI) and science education. The methodology involved a literature review, drawing from sources categorized into three groups: (1) sources on AI, (2) sources on science education, and (3) sources discussing the intersection of AI and science education. This approach enabled a detailed analysis of the pedagogical, epistemological, and ethical implications of this integration. The overarching aim of this study is to explore the foundations and possibilities of integrating Artificial Intelligence (AI) into science education, with a focus on promoting interdisciplinarity while addressing the ethical and epistemological challenges inherent in this pedagogical process. The findings reveal that AI can serve as a powerful tool to transform science education, particularly by fostering more personalized and interactive learning environments that enhance interdisciplinarity and critical skill development among students. However, the study also underscores significant challenges in implementing AI in science education, including ensuring equity, transparency, and data privacy, as well as addressing epistemological issues related to the redefinition of knowledge and the educator's role.

 

DOI:https://doi.org/10.56238/sevened2024.037-027


Creative Commons License

This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.

Copyright (c) 2024 Alcides Feitosa Neto, Argentina Mororó Castro, Evandro de Menezes Araújo, Erica Cristina Machado de Melo, Fabiola Fernandes de Menezes, Herika Gomes da Silva, Ilcimar Gomes Vieira Costa, Irene Mendes Fontes, José Ismael Sales do Nascimento, Márcio Carneiro Barbosa, Vinicius Cavalcanti Carlos Diniz, Rickardo Léo Ramos Gomes

Author(s)

  • Alcides Feitosa Neto
  • Argentina Mororó Castro
  • Evandro de Menezes Araújo
  • Erica Cristina Machado de Melo
  • Fabiola Fernandes de Menezes
  • Herika Gomes da Silva
  • Ilcimar Gomes Vieira Costa
  • Irene Mendes Fontes
  • José Ismael Sales do Nascimento
  • Márcio Carneiro Barbosa
  • Vinicius Cavalcanti Carlos Diniz
  • Rickardo Léo Ramos Gomes