Using the pillars of Computational Thinking during the return to face-to-face classes: Experience report from Primary Education

Abstract


This article presents the results of the application of a gymkhana carried out in two stages with a view to school adaptation to the so-called 'new normality' after the return to school of Primary Education students in person. The objective of the study was: (1) to identify possible deficits in mathematical content after the suspension of face-to-face classes for 2 years due to the COVID-19 pandemic; and (2) map emotional aspects in relation to student motivation and their reconnection with school. The methodology used is characterized by a mixed qualitative-quantitative approach. The results showed that the students achieved an average of 85% correct answers in math questions. In addition, all students felt reconnected with the school during the gymkhana celebration. Finally, regarding motivation and enthusiasm with the return to classes, worrying data was obtained: 14% of the sample showed feeling discouraged and unmotivated and 22% were indifferent. Other data derived from the study indicate that the students missed their friends, space to play, organization and adequate spaces for study, as well as motivation for study and homework, lack of family support and lack of dialogue with teachers.

Keywords: Computational Thinking, New Normal, Gymkhana

References

Araujo, R. M.; Amato, C. A. H.; Martins, V. F.; Eliseo, M. A. & Silveira, I. F. (2020). COVID-19, Changes in Educational Practices and the Perception of Stress by Higher Education Teachers in Brazil (COVID-19, Mudanças em Práticas Educacionais e a Percepção de Estresse por Docentes do Ensino Superior no Brasil).

Computer at School (CAS). Developing Computational Thinking. Teaching London Computing, 2014. Recuperado de: [link].

Endlsey, W. R. (1980). Peer tutorial instruction. Englewood Cliffs, NJ: Educational Technology.

Ferreira, G, G.; Miranda, R. S.; Crespo, C. S. S. P. Reflexões, aprendizados e experiências com o ensino remoto de alunos da computação e engenharias. RENOTE, Porto Alegre, v. 19, n. 1, p. 146–155, 2021. doi: 10.22456/1679-1916.118418. Recuperado de: [link].

Gerhardt, T. E.; Silveira, D. T. Métodos de Pesquisa. Universidade Federal do Rio Grande do Sul, 2009. 1a edição. ISBN 978-85-386-0071-8.

Guarda, G. F.; Pinto, S. C. C. S. Dimensões do Pensamento Computacional: conceitos, práticas e novas perspectivas. Em: SIMPÓSIO BRASILEIRO DE INFORMÁTICA NA EDUCAÇÃO, 31. 2020, Online. Anais [...]. Porto Alegre: Sociedade Brasileira de Computação, 2020. p. 1463-1472. doi: https://doi.org/10.5753/cbie.sbie.2020.1463.

Oliveira, W., Hamari, J., Shi, L., Toda, A. M., Rodrigues, L., Palomino, P. T., Isotani, S. Tailored gamification in education: A literature review and future agenda. Education and Information Technologies. doi: https://doi.org/10.1007/s10639-022-11122-4.

Reis, Rachel; Lyra, Kamila; Reis, Clausius; Isotani Seiji. Relato de Experiência sobre o uso da Computação Desplugada associada a uma Teoria de Aprendizagem Colaborativa. In: WORKSHOP DE INFORMÁTICA NA ESCOLA, XIV, 2018, Fortaleza. Anais: Sociedade Brasileira de Computação – SBC, 2018. p. 166 - 167.

Wing, J. M. Computational thinking. Communications Of the Acm, [s.l.], v. 49, n. 3, p.33-35, 1 mar. 2006. Association for Computing Machinery (ACM). doi: http://dx.doi.org/10.1145/1118178.1118215.

Wing, J. M. (2011). Computational thinking–what and why? The magazine of Carnegie Mellon University’s School of Computer Science.
Published
2022-11-16
GUARDA, Graziela Ferreira; GARCÍA-GARCÍA, Julián Alberto; CLUNIE, Clifton; PINTO, Sérgio Crespo Coelho da Silva. Using the pillars of Computational Thinking during the return to face-to-face classes: Experience report from Primary Education. In: WORKSHOP ON COMPUTATIONAL THINKING AND INCLUSION (WPCI), 1. , 2022, Manaus. Anais [...]. Porto Alegre: Sociedade Brasileira de Computação, 2022 . p. 96-106. DOI: https://doi.org/10.5753/wpci.2022.227531.