Fermi Problems: Mathematical Modeling from Laboratory Online Synchronous Experiences for Engineering Students
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Publisher
Springer Nature Singapore
Link
https://link.springer.com/content/pdf/10.1007/978-981-97-2468-0_32
Reference14 articles.
1. Albarracín, L., Ärlebäck, J. B., Albarracín, L., & Ärlebäck, J. B. (2022). Esquemas de resolución de problemas de Fermi como herramienta de diseño y gestión para el profesor. Educación Matemática, 34, 289–309. https://doi.org/10.24844/em3402.11
2. Albarracín, L., López-Simó, V., & Ärlebäck, J. B. (2021). Repensando los problemas de Fermi para la enseñanza y aprendizaje de las ciencias. Investigações em Ensino de Ciências 26.
3. Ali, H. H., & Kadhum, L. E. (2015). K-means clustering algorithm applications in data mining and pattern recognition.
4. Blum, W., & Leiß, D. (2007). Deal with modelling problems. Mathematical modelling. Education, Engineering and Economics-ICTMA, 12, 222.
5. Borromeo, R. (2010). On the influence of mathematical thinking styles on learners’ modeling behavior. Journal fur Mathematik-Didaktik, 31, 99–118. https://doi.org/10.1007/s13138-010-0009-8
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