Application of Systems Thinking in Scientific Research in Engineering and Science: An Interdisciplinary Approach

This study analyzes the integration of systems thinking with the quantitative scientific method in the teaching of research in engineering and applied sciences. It demonstrates that systems thinking enables a better understanding of complex problems by considering the interrelation between variables, facilitating system modeling in various fields.The results obtained through statistical analysis indicate a significant improvement in students' academic performance after implementing the systems approach. The Wilcoxon test showed a p-value of 5.539 × 10⁻¹⁰, confirming that grades significantly improved in the second evaluation. Additionally, the Shapiro-Wilk normality test revealed that the analyzed variables (nota-1, nota-2, dt1, dt2) do not follow a normal distribution, justifying the use of non-parametric methods.Overall, systems thinking-based teaching reduces learning variability, helping students acquire a more structured knowledge. The findings suggest that this approach can be a valuable tool for teaching research methodology in engineering and applied sciences.