Underlying variables in the understanding of movement in engineering students
This article describes the understanding of motion by active students taking Newtonian physics for engineering, supported by active learning, during the pandemic due to COVID-19; in addition, an unsupervised predictive model of learning achievement was constructed from variables identified using the...
- Autores:
-
Gamboa Suárez, Audin Aloiso
HERNANDEZ SUAREZ, CESAR AUGUSTO
Suárez, O J
- Tipo de recurso:
- Article of journal
- Fecha de publicación:
- 2021
- Institución:
- Universidad Francisco de Paula Santander
- Repositorio:
- Repositorio Digital UFPS
- Idioma:
- eng
- OAI Identifier:
- oai:repositorio.ufps.edu.co:ufps/7023
- Acceso en línea:
- https://repositorio.ufps.edu.co/handle/ufps/7023
- Palabra clave:
- Rights
- openAccess
- License
- Content from this work may be used under the terms of the Creative Commons Attribution 3.0 licence.
| Summary: | This article describes the understanding of motion by active students taking Newtonian physics for engineering, supported by active learning, during the pandemic due to COVID-19; in addition, an unsupervised predictive model of learning achievement was constructed from variables identified using the principal component analysis technique on the responses. the instrument used is the modified test of understanding graphs-kinematics comprehension. students from two universities in Bogotá, Colombia participated. The results show a lower level of accuracy in students in remote face-to-face mode, compared to the reference group of physical presence; by way of reflection, the forced educational experiment implies resizing the teaching activity in the teaching and learning of movement. |
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