Computational Thinking as a Support Tool for the Different Learning Development

Authors

DOI:

https://doi.org/10.5753/rbie.2023.2856

Keywords:

School Curriculum, Computational Thinking, Tool

Abstract

Computational Thinking (CT) expands students' creativity as they generate diverse and unique ideas, inducing a better understanding of other knowledge areas. In this way, the present work aims to identify the bases for computational thinking application, its taxonomies, and the main challenges in the curricular adjustment for CT use with primary education children, considering sixth-year students of Elementary School in the Bagé-RS region. Three public and three private schools participated in this study and the research instrument adopted was a questionnaire, divided into three thematic axes: adoption of computational resources in pedagogical practices, institutional maturity on the CT theme, and pedagogical of educational institution practices. In these teacher views, in addition to the theoretical basis and technical aspects of CT tools, a new curricular proposal needs to consider usability issues, student motivation, teacher facilitation through resources, the institutions structures available, and evaluation ways. In addition, exploring the relationship between CT tools and development is necessary, providing information on which tools can best support learning strategies. The project advances constitute the specific training proposition in the Computational Thinking area aimed at the research participants. Therefore, future activities begin with the group composition involving the Municipal Government, the Regional Coordination of Education, and the representatives appointed by the educational institutions. Then, a short-term course proposition aimed at inserting CT into teaching praxis.

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References

Acevedo-Borrega, J., Valverde-Berrocoso, J., & Garrido-Arroyo, M. d. C. (2022). Computational Thinking and Educational Technology: A Scoping Review of the Literature. Education Sciences, 12(1). doi:10.3390/educsci12010039. [GS Search]

Aranda, G., & Ferguson, J. P. (2022). The Creative in Computational Thinking. Em Children’s Creative Inquiry in STEM (pp. 309–326). Springer. doi:10.1007/978-3-030-94724-8_18. [GS Search]

Bittencourt, R. A., Santana, B. L., & Araujo, L. G. J. (2021). Computação Fundamental: Currículo e Livros Didáticos de Computação para o Ensino Fundamental II. Revista Brasileira de Informática na Educação, 29(0), 662–691. doi:10.5753/rbie.2021.29.0.662. [GS Search]

Brasil. (1996). Lei nº 9.394, de 20 de dezembro de 1996. Diário Oficial da República Federativa do Brasil. Recuperado 24 fevereiro 2017, disponível em: [Link]. [GS Search]

Brasil. (2018). Base Nacional Comum Curricular (BNCC). Diário Oficial da República Federativa do Brasil. Disponível em: [Link]

CIEB. (2022). Referências para construção do seu currículo em tecnologia e computação da educação básica. Centro de Inovação para a Educação Brasileira. Disponível em: [Link]

Happonen, A. (2021). Finland 2025-2030 and State of Digitalisation Official Plans and Current Predictions Rewiew [acesso em: 20 jul. 2022]. Impact and Benefits of Digitalization. Disponível em: [Link]. [GS Search]

INEP. (2022). Microdados do Censo da Educação Básica 2021 [acesso em: mai/2022]. Disponível em: [Link]

Israel-Fishelson, R., & Hershkovitz, A. (2022). Studying interrelations of computational thinking and creativity: A scoping review (2011–2020). Computers & Education, 176,104353. doi:10.1016/j.compedu.2021.104353. [GS Search]

Lu, C., Macdonald, R., Odell, B., Kokhan, V., Demmans Epp, C., & Cutumisu, M. (2022). A scoping review of computational thinking assessments in higher education. Journal of Computing in Higher Education, 1–46. doi:10.1007/s12528-021-09305-y. [GS Search]

Malait, U., Himang, C. M., Ocampo, L., Selerio Jr, E. F., Luzano, E., Caballero, J. H., Bergamo, R., & Manalastas, R. (2022). The Efficacy of Matching Learning Modality in the Teaching-Learning Process: A Case of Teaching Hypothesis Testing. International Journal of Virtual and Personal Learning Environments (IJVPLE), 12(1), 1–16. doi:10.4018/IJVPLE.285597. [GS Search]

Mukherjee, S. P. (2020). A guide to research methodology: An overview of research problems, tasks and methods. CRC Press. doi:10.1201/9780429289095. [GS Search]

Niemelä, P., Pears, A., Dagien ̇e, V., & Laanpere, M. (2021). Computational Thinking–Forces Shaping Curriculum and Policy in Finland, Sweden and the Baltic Countries. Em Open Conference on Computers in Education (pp. 131–143). doi:10.1007/978-3-030-97986-7_11. [GS Search]

Nouri, J., Zhang, L., Mannila, L., & Norén, E. (2020). Development of computational thinking, digital competence and 21st century skills when learning programming in K-9. Education Inquiry, 11(1), 1–17. doi:10.1080/20004508.2019.1627844. [GS Search]

Papert, S. (1980). Mindstorms: children, computers, and powerful ideas. Basic Books, Inc., NY, USA. doi:10.5555/1095592. [GS Search]

Pereira, G. (2022). Bagé é contemplada pelo programa Educação Conectada do Governo Federal [acesso em: 10 jul. 2022]. Disponível em: [Link]

Popkewitz, T. S. (2022). International assessments as the comparative desires and the distributions of differences: infrastructures and coloniality. Discourse: Studies in the Cultural Politics of Education, 1–23. doi:10.1080/01596306.2021.2023259. [GS Search]

Ribeiro, L., Granville, L. Z., Serey, D., & da Costa Cavalheiro, S. A. (2022). DIRETRIZES DE ENSINO DE COMPUTAÇÃO NA EDUCAÇÃO BÁSICA. Letramento em Programação: Relatos de Experiência e Artigos Científicos, 62. [GS Search]

Sasson, I., Yehuda, I., Miedijensky, S., & Malkinson, N. (2022). Designing new learning environments: An innovative pedagogical perspective. The Curriculum Journal, 33(1), 61–81. doi:10.1002/curj.125. [GS Search]

Tikva, C., & Tambouris, E. (2021). Mapping computational thinking through programming in K-12 education: A conceptual model based on a systematic literature Review. Computers & Education, 162, 104083. doi:10.1016/j.compedu.2020.104083. [GS Search]

Wing, J. M. (2006). Computational thinking. Communications of the ACM, 49(3), 33–35. doi:10.1145/1118178.1118215. [GS Search]

Published

2023-06-25

How to Cite

CAMARGO, L. da S.; LIMA, C. C. de; PERNAS, A. M.; YAMIN, A. Computational Thinking as a Support Tool for the Different Learning Development. Brazilian Journal of Computers in Education, [S. l.], v. 31, p. 289–306, 2023. DOI: 10.5753/rbie.2023.2856. Disponível em: https://journals-sol.sbc.org.br/index.php/rbie/article/view/2856. Acesso em: 22 nov. 2024.

Issue

Section

Special Issue :: Remote Teaching in the Post-Pandemic