Pedagogical model in virtual education with blended learning: case Faculty of Systems Engineering and Informatics UNMSM (FISI)

Authors

  • Jorge Carreño-Escobedo Universidad Nacional Mayor de San Marcos. Lima, Peru
  • Carlos Cánepa-Pérez Universidad Nacional Mayor de San Marcos. Lima, Peru https://orcid.org/0000-0003-4051-4164
  • Inés Cotrina-Giraldo IESTP Virgen de Guadalupe. Lima, Peru

DOI:

https://doi.org/10.15381/risi.v15i1.23738

Keywords:

Pedagogical model, virtual education, blended learning, teaching-learning, pandemic, technology, courses, transmission of knowledge

Abstract

The application of an effective pedagogical model for B-Learning teaching-learning in times of pandemic by COVID-19 is opportune to lead the university educational organization in undergraduate to the achievement of its objectives, and that allows to face responsibly and coherently the difficulties in its development. The objective of this research is to apply a theoretical pedagogical model taken to the application in systems engineering students of a national university. The approach of this research is qualitative, with descriptive and correlational scope. Its research design is non-experimental of descriptive transversal type. As an instrument, the data collection of the continuous evaluation record in each class session is considered as an instrument, as well as the teacher's observation. Statistical data such as Cronbach's alpha and factor analysis are analyzed. The result obtained is the product of the application of the pedagogical model proposed in an academic cycle statistically analyzed in several FISI courses according to the criteria considered. From this research it is concluded that teaching-learning is reinforced with a good pedagogical model supported by the use of technologies.

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Published

2022-09-20

Issue

Section

Original Research Articles

How to Cite

[1]
“Pedagogical model in virtual education with blended learning: case Faculty of Systems Engineering and Informatics UNMSM (FISI)”, Rev.Investig.sist.inform., vol. 15, no. 1, pp. 23–31, Sep. 2022, doi: 10.15381/risi.v15i1.23738.