Aprendizaje basado en problemas para el cálculo de dosis farmacológicas en estudiantes universitarios del área de la salud

Authors

  • Juan Manuel Sánchez Soto Tecnológico de Estudios Superiores de Chalco
  • Magally Martínez Reyes Universidad Autónoma del Estado de México
  • Anabelem Soberanes Matín Universidad Autónoma del Estado de México
  • Fabiola Orquídea Sánchez Hernández Tecnológico de Estudios Superiores de Chalco

DOI:

https://doi.org/10.5944/pim.8.2025.45060

Keywords:

Problem-based learning, mathematical teaching, pharmacological calculation.

Abstract

Problem Based Learning is an educational alternative that increases the cognitive level since it is a constructivist strategy that will allow students the creative capacity to solve a mathematical problem, for this research, a group of students was taken through a four-factor strategy to determine the solution of mathematical problems of the calculation of pharmaceutical doses which were: 1. The presentation and understanding of the problem, 2. Correctly define what is requested in the problem, 3. Determine the arithmetic process of the solution of the problem and 4. Present the result obtained. Where the first was the fundamental factor to obtain the result correctly and in a shorter time, since in Mexico one of the main problems that university students have is reading comprehension when this was achieved it decreased by 85% in response time with a greater assertiveness with an average grade of 9.1. What we can conclude is that Problem-Based Learning is a teaching strategy that allows the student to have a constructivist teaching-learning strategy where they have to generate their own paths to solve problems which will allow logical, critical and reflective thinking for a better understanding.

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Published

2025-04-03

How to Cite

Sánchez Soto, J. M., Martínez Reyes, M., Soberanes Matín, A., & Sánchez Hernández, F. O. (2025). Aprendizaje basado en problemas para el cálculo de dosis farmacológicas en estudiantes universitarios del área de la salud. Pi-InnovaMath, (8). https://doi.org/10.5944/pim.8.2025.45060

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