Applications of Artificial Intelligence in the Teaching of Mathematical Techniques for Biology, Mining and Environment
López González Wilmer Orlando, Gregory Guillermo Cuesta Andrade, Adriana Monserrath Monge Moreno, Byron Stalin Rojas Oviedo
Universidad Nacional de Educación Escuela Superior Politécnica de Chimborazo
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This scientific article explores the use of artificial intelligence (AI) as an effective tool in teaching mathematical techniques applied to the fields of biology, mining and environment. It examines the potential of AI to improve the learning of complex mathematical concepts and their application in real-world scenarios. Various AI approaches, such as machine learning and neural networks, which have shown promise in optimizing and automating mathematical tasks, are discussed. Concrete examples of AI applications in solving mathematical problems related to biology, mining and the environment are presented. Finally, the advantages and limitations of these techniques are highlighted and the future perspectives of the integration of AI in the teaching of mathematical techniques in these fields are discussed.
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社会科学Artificial Intelligence in Education
Artificial Intelligence Applications · Educational Technology and Pedagogy
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