Digital pedagogical resources: A look at the development of computational thinking in secondary school students

Authors

Keywords:

Computational thinking, Digital competence, Scratch, Virtual tool, Educational platform

Abstract

Computational thinking and digital competence in recent years have revolutionized the academy through the Scratch software at the secondary education level, which is why the study objective of this research was oriented towards verifying the development of computational thinking. and training criteria of the same entity educating in the seventh year of basic general education and teachers of the same level, based on the dimensions of computational thinking, among which he referred to: error detection, use of instructions, operators, reuse, identification of patterns, abstraction and operation, sequence, variables, for which a pragmatic research paradigm of a mixed approach was used, in the quantitative part a quasi-experiment was used with the applicability of a pre-test and a post-test with documentary support and explanatory level , the results show that there is a significant difference in the development or computational thinking among students who use the Scratch app in the teaching and learning process.

Keywords: Computational thinking, Digital competence, Scratch, Virtual tool, Educational platform.

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References

Aksit, O., & Wiebe, E. (2020). Exploring force and motion concepts in middle grades using computational modeling: A classroom intervention study. Journal of Science Education and Technology, 29(1), 65–82. https://doi.org/10.1007/s10956-019-09800-z

Alejaldre, L., y Álvarez, E. (2019). La competencia digital docente del profesor universitario 3.0. Caracteres. Estudios Culturales y Críticos de La Esfera Digital, 8 (2), 205-236.

Casillas, S., Cabezas-González, M., & García-Peñalvo, F. (2019). Digital competence of early childhood education teachers: attitude, knowledge and use of ICT. European Journal of Teacher Education, 43(2), 210–223. https://doi.org/10.1080/02619768.2019.1681393

Çebi, A., & Reisoğlu, I. (2019). A training activity for improving the digital competences of pre-service teachers: The views of pre-service teacher in CEIT and other disciplines. Educational Technology Theory and Practice, 9(2), 539–565. https://doi.org/10.17943/etku.562663

Dauer, J. T., Bergan-Roller, H. E., King, G. P., Kjose, M., Galt, N. J., & Helikar, T. (2019). Changes in students’ mental models from computational modeling of gene regulatory networks. International Journal of STEM Education, 6, 38. https://doi.org/10.1186/s40594-019-0193-0

Huang, W., & Looi, C.-K. (2021). A critical review of literature on “unplugged” pedagogies in K-12 computer science and computational thinking education. Computer Science Education, 31(1), 83–111. https://doi.org/10.1080/08993408.2020.1789411

Hutchins, N. M., Biswas, G., Maróti, M., Lédeczi, Á., Grover, S., Wolf, R., & McElhaney, K. (2020). C2STEM: A system for synergistic learning of physics and computational thinking. Journal of Science Education and Technology, 29(1), 83–100. https://doi.org/10.1007/s10956-019-09804-9

Lázaro-Cantabrana, J. L., Usart-Rodríguez, M., & Gisbert-Cervera, M. (2019). Assessing Teacher Digital Competence: the Construction of an Instrument for Measuring the Knowledge of Pre-Service Teachers. Journal of New Approaches in Educational Research, 8(1), 73–78. https://doi.org/10.7821/naer.2019.1.370

Lee, I., & Malyn-Smith, J. (2020). Computational thinking integration patterns along the framework defining computational thinking from a disciplinary perspective. Journal of Science Education and Technology, 29(1), 9–18. https://doi.org/10.1007/s10956-019-09802-x

Li, Y., Schoenfeld, A. H., diSessa, A. A., Graesser, A. C., Benson, L. C., English, L. D., & Duschl, R. A. (2020). Computational thinking is more about thinking than computing. Journal for STEM Education Research, 3, 1–18. https://doi.org/10.1007/s41979-020-00030-2

Martínez, M., Ruíz, K. Y., Graillet, E. M., & Alvarado, L. C. (2020). Competencias digitales para la formación académica en un Programa de Licenciatura a distancia. En Méndez Prieto, M.E., Pech Campos, S. J. y Angulo Armenta, J. (comp), Tecnología, innovación y práctica educativa (pp. 446-454). CIATA.org

Napal-Fraile, M., Peñalva-Vélez, A., & Mendióroz-Lacambra, A. (2018). Development of Digital Competence in Secondary Education Teachers’ Training. Education Sciences, 8(3), 104–104. https://doi.org/10.3390/educsci8030104

Nardelli, E. (2019). Do we really need computational thinking? Communications of the ACM, 62(2), 32–35. https://doi.org/10.1145/3231587

Peel, A., Sadler, T. D., & Friedrichsen, P. (2019). Learning natural selection through computational thinking: Unplugged design of algorithmic explanations. Journal of Research in Science Teaching, 56(7), 983–1007. https://doi.org/10.1002/tea.21545

Peel, A., Sadler, T. D., & Friedrichsen, P. (2022). Algorithmic explanations: An unplugged instructional approach to integrate science and computational thinking. Journal of Science Education and Technology, 34, 1–14. https://doi.org/10.1007/s10956-022-09965-0

Wiese, E. S., & Linn, M. C. (2021). “It must include rules”: Middle school students’ computational thinking with computer models in science. ACM Transactions on Computer-Human Interaction (TOCHI), 28(2), 1–41. https://doi.org/10.1145/3415582

Published

2024-04-08

How to Cite

Cabrera-López, J. R., Peñuela-Jara, D. R., & Castillo-Salazar, D. (2024). Digital pedagogical resources: A look at the development of computational thinking in secondary school students. Revista Científica Arbitrada De Investigación En Comunicación, Marketing Y Empresa REICOMUNICAR. ISSN 2737-6354., 7(13 Ed. esp.), 73-93. Retrieved from https://www.reicomunicar.org/index.php/reicomunicar/article/view/236