Enhancing Mathematics Education in Engineering Schools: Didactic Strategies for Effective Development (#411)
Read ArticleDate of Conference
July 17-19, 2024
Published In
"Sustainable Engineering for a Diverse, Equitable, and Inclusive Future at the Service of Education, Research, and Industry for a Society 5.0."
Location of Conference
Costa Rica
Authors
Coronado Farroñán, Williams
Pérez Najera, Celín
Sime Marques, Alcibíades
López Cuadra, Yelka Martina
Tuesta Torres, Edgar Roland
Salazar Fernández, Jessica Karina
Castro Ijiri, Gabriela Lizeth
Abstract
The research successfully implemented the "Mathematical Transformation Strategy for Engineering" with the objective of improving mathematical training in these students. By integrating constructivist approaches and problem-based learning, especially focused on the analysis of engineering cases, the deep understanding of concepts and the improved ability to apply knowledge in professional contexts were enhanced. In turn, the results reflected a noticeable increase in students' mathematical modeling, motivation and critical thinking skills. Evidently, the key to success lay in empowering the student as an active protagonist of the learning process, coherently establishing the connection between theory and experimental problems, for which the interdisciplinary approach, supported by specialized teachers, was of utmost importance, amplifying the achievements, contributing to the formation of highly trained professionals. An applied and mixed approach was adopted, integrating theoretical and empirical methods to obtain a deep understanding of mathematics education in engineering schools, for which theoretical methods such as historical-logical, analytical-synthetic, inductive-deductive, holistic-dialectical and systemic-structural-functional were used. Meanwhile, the empirical method of content analysis was carried out. Undoubtedly, the holistic approach provided a solid basis for addressing the complexity of engineering mathematics education, allowing a deep understanding supported both theoretically and empirically.