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Tecnura
versión impresa ISSN 0123-921X
Resumen
TREJOS BURITICA, Omar Iván y MUNOZ GUERRERO, Luis Eduardo. Learning Strategy for Programming Supported by Meaningful Learning, Brain-Based Learning, and Aesthetic Disposition. Tecnura [online]. 2022, vol.26, n.71, pp.111-123. Epub 05-Abr-2022. ISSN 0123-921X. https://doi.org/10.14483/22487638.15309.
Objective:
To analyze and establish if there is a relationship between the aesthetic distribution of elements on the board and its impact on the learning of computer programming.
Methodology:
This study was conducted in parallel between two groups per semester from 2015 to 2018. The aesthetic elements referred to in this research were applied in one of the groups, and these elements were removed in the other one. The research is qualitative, with a final quantitative component.
Results:
The results show a direct relationship between the learning of computer programming by students and the aesthetic disposition mentioned in this article.
Conclusions:
It is concluded that knowledge is more understandable and meaningful for the student when it is aesthetically distributed with the resources of the classroom, which facilitates storing knowledge in the long-term memory.
Funding:
Universidad Tecnológica de Pereira
Palabras clave : meaningful learning; teaching; master class; aesthetic skills; engineering; computer programming.
