TY - NEWS
TI - Computational tool for learning electrostatic physics through the development of a disruptive methodology
AU - Ramírez Carvajal, Luis Eduardo
AU - Puerto, Karla
AU - Castro Casadiego, Sergio 
AB - A computational tool for learning electrostatic physics is presented through the
development of a disruptive methodology. The tool allows the analysis of case studies based on
Coulomb’s law, Gauss’s law, Poisson’s equation, and Laplace’s equation with boundary value.
The tool was tested using reference exercises for each case study, making use of quantitative and
qualitative comparative analysis between the traditional mathematical development and the
computational tool. Errors were measured using Likert scale. The quantitative results showed
errors of less than 1.8% in all the cases studied, concluding that the tool is effective. The
qualitative results showed that the methodology allows a better development of the electrostatics
learning process, dynamizing the study of complex topics such as electromagnetic physics
theories through interactivity and technological resources, in addition to having a theoretical
module developed using agile methodologies that provide dynamism and an intuitive
environment to the interface.
DA - 2022-01-05
PB - Journal of Physics: Conference Series
UR - https://repositorio.ufps.edu.co/handle/ufps/6603
ER -