COMPUTATIONAL THINKING: THE TEACHER'S GUIDE WITH GOOGLE CLASSROOM

Authors

  • Yovanny Rivas Abadía
  • Jorge Luis Jiménez Escobar
  • María Enith Hernández Echeverry

DOI:

https://doi.org/10.56219/dialctica.v1i31.6268

Keywords:

Computational Thinking, Didactic Strategy, Google Classroom, Abstraction, Decomposition

Abstract

This article presents the results of a research project conducted with teachers at the Julio Mejía Vélez Agricultural Educational Institution in the municipality of Alto Baudó, Chocó. The study initially identified a gap in teachers' technical and pedagogical skills for developing Computational Thinking (CT) in their students. The main objective was to strengthen these competencies in primary school teachers through a didactic strategy integrated into Google Classroom, where the procedure for developing the educational proposal was structured step by step. After a diagnostic phase that revealed critical weaknesses in critical thinking, algorithms, and basic concepts, the intervention was implemented with a sample of 10 teachers. The post-test results indicate that, after the training, the teachers developed a positive attitude and a better understanding of key concepts such as abstraction and decomposition. It is concluded that strengthening teachers' technical knowledge and their proficiency with digital tools are determining factors that facilitate student learning and motivation in the classroom.

 

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Author Biographies

Yovanny Rivas Abadía

Universidad Pedagógica Experimental Libertador (Upel-Rubio)

Jorge Luis Jiménez Escobar

Universidad Pedagógica Experimental Libertador (Upel-Rubio)

María Enith Hernández Echeverry

Universidad Pedagógica Experimental Libertador (Upel-Rubio)

References

Ausubel, D. (1983). Psicología Educativa: Un punto de vista cognoscitivo. Trillas. Psicología educativa: un punto de vista cognoscitivo

Brennan, K., & Resnick, M. (2012). New frameworks for studying and assessing the development of computational thinking. Proceedings of the 2012 Annual Meeting of the American Educational Research Association.

Camargo, A., & Munar, J. (2021). Habilidades del pensamiento computacional en docentes en formación de la universidad La Gran Colombia. Revista Científica UISRAEL, 8(2), 135–149.

Díaz, J., Carbonel, G., & Picho, D. (2021). Los sistemas de gestión de aprendizaje (LMS) en la educación virtual. Revista CIEG, (50), 87-95.

Enríquez, C., Raluy, M., & Vega, L. (2015). Desarrollo del pensamiento computacional en niñas y niños usando actividades desconectadas y conectadas de computadora. ResearchGate.

Gómez, J. (2019). Buena práctica docente para el diseño de aula virtual en Google Classroom. Revista Andina de Educación, 2(1), 30-36.

INTEF. (s.f.). El marco de Brennan-Resnick: I. Conceptos. Code INTEF.

Pérez, H., & Roig, R. (2015). Entornos de programación no mediados simbólicamente para el desarrollo del pensamiento computacional. RED. Revista de Educación a Distancia, (46), 1-23.

Piaget, J. (1972). La teoría de Piaget. Infancia y Aprendizaje, 4(sup 2), 13-54.

Roberts, A., Means, H., & Garrison, M. (2016). Netflixing human capital development: Personalized learning technology and the corporatization of K-12 education. Journal of Education Policy, 31(4), 405–420.

Siemens, G. (2004). Conectivismo: Una teoría de aprendizaje para la era digital.

Wing, J. (2006). Computational thinking (Vol. 49).

Yadav, A., Gretter, S., Good, J. & McLean, T. (2017). Computational thinking in teacher education. En Emerging research, practice, and policy on computational thinking (pp.205–220). Springer.

Published

2026-09-16

How to Cite

Yovanny Rivas Abadía, Jorge Luis Jiménez Escobar, & María Enith Hernández Echeverry. (2026). COMPUTATIONAL THINKING: THE TEACHER’S GUIDE WITH GOOGLE CLASSROOM. DIALÉCTICA, 1(31). https://doi.org/10.56219/dialctica.v1i31.6268

Issue

Section

Portafolio de Investigación