Computational Thinking in Mathematical Modeling Projects. A Case Study with Future Mathematics Teachers
- Jhony Alexander Villa-Ochoa,
- Jaime Andrés Carmona-Mesa,
- Daniel Andrés Quiroz-Vallejo,
- Alexander Castrillon-Yepes,
- Danyal Farsani(corresponding author)
Publication Information
Tipo de resultado
Idioma original
InglésPáginas desde-hasta (Número de páginas)
Páginas 460-470 (11 páginas)Hitos de publicación
- Publicada - 01/01/2022
Estado de publicación
Editorial
Springer Science and Business Media Deutschland GmbHSerie de publicación
- Nombre de serie de publicación: Lecture Notes in Networks and Systems
ISSN (Impreso): 2367-3370
ISSN (Electrónico): 2367-3389
Volumen: 414 LNNS
ISBN (impreso)
9783030962920Publication IDs
- Scopus: 85126240539
Título de publicación principal
Information Technology and Systems - Proceedings of ICITS 2022Editores de publicación principal
- Álvaro Rocha
- Carlos Ferrás
- Efren Jimenez Delgado
- Abel Méndez Porras
Abstract
Computational thinking has been a topic of debate in research in different STEM areas. This type of thinking is considered one of the vital skill sets for societies’ technological and scientific development. This document presents the results of a study that investigates the computational thinking skills embedded in a mathematical modeling project. The project was developed by three future math teachers who participated in a mathematical modeling course. Analyzing students’ documents, videos, and materials made it possible to identify actions associated with decomposition, abstraction, algorithms, representation/modeling, and generalization. The components of computational thinking observed in this study show the opportunities that mathematical modeling offers to the development of computational thinking skills; however, new studies are required on the guidelines and conditions necessary for teachers to recognize the importance of the components they use and to be able to explain them to their students through modeling projects.
