Palavras chave

Aprendizagem, pensamento computacional, avaliação, ensino fundamental, informática, programação

Resumo

Este estudo traz evidências sobre fatores que facilitam o desenvolvimento do pensamento computacional (PC) entre estudantes costa-riquense do ensino fundamental, incluindo o aporte da proposta de LIE++ que aborda conhecimentos e práticas do PC mediante projetos de programação e computação física. Foi utilizado um desenho quase-experimental para comparar um grupo de estudantes de LIE++ com um grupo de estudantes de outra proposta chamada LIE-Guías, que enfatiza aprendizagem com tecnologias digitais. No estudo, participaram 14.795 estudantes, que responderam voluntariamente a um teste online que foi constituído e validado para estimar as pontuações alcançadas em PC. Os resultados mostraram que os estudantes participantes de LIE++ obtiveram melhores pontuações em comparação com o grupo de LIE-Guías e, mediante um modelo de regressão multinível, foram identificadas quais as variáveis pessoais e sociais dos estudantes, e da própria execução da proposta, incidem no favorecimento dessas aprendizagens. Esta pesquisa é uma primeira aproximação ao tema nesse contexto, que se refere à importância de proporcionar oportunidades educativas voltadas a conhecimentos e habilidades mais avançadas da computação, assim como à relevância de seguir desenvolvendo ferramentas e metodologias que ajudem a gerar evidências sobre o PC no âmbito educacional e, assim, melhorar as intervenções educativas.

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Referências

Ambrosio, A.P., Xavier, C., & Georges, F. (2014). Digital ink for cognitive assessment of computational thinking [Conference]. Education Conference (FIE) Proceedings. https://doi.org/10.1109/FIE.2014.7044237

Link DOI | Link Google Scholar

Atmatzidou, S., & Demetriadis, S. (2016). Advancing students’ computational thinking skills through educational robotics: A study on age and gender relevant differences. Robotics and Autonomous Systems, 75, 661-670. https://doi.org/10.1016/j.robot.2015.10.008

Link DOI | Link Google Scholar

Bocconi, S., Chioccariello, A., Dettori, G., Ferrari, A., & Engelhardt, K. (2016). Developing computational thinking in compulsory education-implications for policy and practice. European Union. https://bit.ly/3jpc7Ut

Link Google Scholar

Bourdieu, P. (1998). Capital cultural, escuela y espacio social. Siglo XXI.

Link Google Scholar

Brennan, K., & Resnick, M. (2012). Entrevistas basadas en artefactos para estudiar el desarrollo del Pensamiento Computacional (PC) en el diseño de medios interactivos [Conference]. American Educational Research Association (AERA). https://bit.ly/3qNPw81

Link Google Scholar

Caballero-González, Y.A., & García-Valcárcel, A. (2020). Learning with robotics in primary education? A means of stimulating computa-tional thinkin. Education in the Knowledge Society, 21(10), 1-15. https://doi.org/10.14201/eks.21443

Link DOI | Link Google Scholar

Chen, G., Shen, J., Barth-Cohen, L., Jiang, S., Huang, X., & Eltoukhy, M. (2017). Assessing elementary students’ computational thinking in everyday reasoning and robotics programming. Computers & Education, 109, 162-175. https://doi.org/10.1016/j.compedu.2017.03.001

Link DOI | Link Google Scholar

Dagiene, V., & Stupuriene, G. (2016). Bebras - A sustainable community building model for the concept-based learning of informatics and computational thinking. Informatics in Education, 15(1), 25-44. https://doi.org/10.15388/infedu.2016.02

Link DOI | Link Google Scholar

Dagiene, V., Mannila, L., Poranen, T., Rolandsson, L., & Stupuriene, G. (2014). Reasoning on children’s cognitive skills in an informatics contest: findings and discoveries from Finland, Lithuania, and Sweden. In Y. Gülbahar & E. Karata? (Eds.), Informatics in schools. Teaching and learning perspectives (pp. 66-77). Springer. https://doi.org/10.1007/978-3-319-09958-3_7

Link DOI | Link Google Scholar

Desjardins, R., & Ederer, P. (2015). Socio-demographic and practice-oriented factors related to proficiency in problem solving: A lifelong learning perspective. International Journal of Lifelong Education, 34(4), 468-486. https://doi.org/10.1080/02601370.2015.1060027

Link DOI | Link Google Scholar

Espino, E.E., & González, C. (2016). Gender and computational thinking: Review of the literature and applications [Conference]. Proceedings of the XVII International Conference on Human Computer Interaction. https://doi.org/10.1145/2998626.2998665

Link DOI | Link Google Scholar

Fallas, I., & Zúñiga, M. (2010). Las tecnologías digitales de la información y la comunicación en la educación costarricense: informe final. In Programa Estado de la Nación (Ed.), Tercer Informe Estado de la Educación [Conference]. PEN. https://bit.ly/37J7kK3

Link Google Scholar

Fundación Omar Dengo (Ed.) (2009). Estándares de desempeño de estudiantes en el aprendizaje con tecnologías digitales. FOD. https://bit.ly/30nteOU

Link Google Scholar

Fundación Omar Dengo (Ed.) (2016). Tecnologías digitales y capacidades para construir el futuro: Aportes del Programa Nacional de Informática Educativa MEP-FOD. Área de Investigación y Evaluación, FOD.

Link Google Scholar

García-Válcarcel, A., & Caballero-González, Y. (2019). Robotics to develop computational thinking in early Childhood Education. [Robótica para desarrollar el pensamiento computacional en Educación Infantil]. Comunicar, 59, 63-72. https://doi.org/10.3916/C59-2019-06

Link DOI | Link Google Scholar

Grover, S., & Pea, R. (2013). Computational thinking in K-12: A review of the state of the field. Educational Researcher, 42(1), 38-43. https://doi.org/10.3102/0013189X12463051

Link DOI | Link Google Scholar

Grover, S., Pea, R., & Cooper, S. (2015). Designing for deeper learning in a blended computer science course for middle school students. Computer Science Education, 25(2), 199-237. https://doi.org/10.1080/08993408.2015.1033142

Link DOI | Link Google Scholar

Holmes, W., Bolin, J.E., & Kelley, K. (2014). Multilevel modeling using R. CRC Press. https://bit.ly/30lEPOz

Link Google Scholar

Jara, I., Claro, M., Hinostroza, J.E., San-Martín, E., Rodríguez, P., Cabello, T., Ibieta, A., & Labbé, C. (2015). Understanding factors related to Chilean students’ digital skills: A mixed methods analysis. Computers & Education, 88, 387-398. https://doi.org/10.1016/j.compedu.2015.07.016

Link DOI | Link Google Scholar

Jun, S., Han, S., & Kim, S. (2017). Effect of design-based learning on improving computational thinking. Behaviour & Information Technology, 36(1), 43-53. https://doi.org/10.1080/0144929X.2016.1188415

Link DOI | Link Google Scholar

Kalas, I., & Tomcsányiová, M. (2009). Students’ attitude to programming in modern informatics [Conference]. 9th IFIP TC 3 World Conference on Computers in Education (WCCE). https://bit.ly/35IZ8b7

Link Google Scholar

Leonard, J., Buss, A., Gamboa, R., Mitchell, M., Fashola, O.S., Hubert, T., & Almughyirah, S. (2016). Using robotics and game design to enhance children’s self-efficacy, STEM attitudes, and computational thinking skills. Journal of Science Education and Technology, 25, 860-876. https://doi.org/10.1007/s10956-016-9628-2

Link DOI | Link Google Scholar

Linacre, J.M. (2002). What do infit and outfit, mean-square and standardized mean? Rasch Measurement Transactions, 16, 878. https://bit.ly/3hEFZvC

Link Google Scholar

Magis, D., Béland, S., Tuerlinckx, F., & De-Boeck, P. (2010). A general framework and an R package for the detection of dichotomous differential item functioning. Behavior research methods, 42(3), 847-862. https://doi.org/10.3758/BRM.42.3.847

Link DOI | Link Google Scholar

Martínez-Restrepo, S., Ramos-Jaimes, L., Maya, N., & Parra, L. (2018). Guía metodológica para medir las TIC en educación. IDRC – FEDESARROLLO. https://bit.ly/2ZKqHhu

Link Google Scholar

Ministerio de Educación Pública (Ed.) (2019). Exclusión intra anual en el sistema educativo costarricense. MEP. https://bit.ly/2TegPt7

Link Google Scholar

Ministerio de Planificación Nacional y Política Económica (Ed.) (2018). Costa Rica índice de desarrollo social (IDS) 2017. MIDEPLAN. https://bit.ly/34fEq2R

Link Google Scholar

Muñoz, L., Brenes, M., Bujanda, M., Mora, M., Núñez, O., & Zúñiga, M. (2014). Las políticas TIC en los sistemas educativos de América Latina: Caso Costa Rica. UNICEF. https://bit.ly/3kpZydg

Link Google Scholar

Palts, T., Pedaste, M., Vene, V., & Vinikien?, L. (2017). Tasks for assessing skills of computational thinking [Conference]. 10th annual International Conference of Education, Research and Innovation. https://doi.org/10.21125/iceri.2017.0784

Link DOI | Link Google Scholar

Papert, S. (1987). Information technology and education: Computer criticism vs. technocentric thinking. Educational Researcher, 16(1), 22-30. https://doi.org/10.3102/0013189X016001022

Link DOI | Link Google Scholar

Papert, S. (1998). Child power: Keys to the new learning of the digital century [Conference].11th Colin Cherry Memorial Lecture on Communication. https://bit.ly/2QB2BB7

Link Google Scholar

Resnick, M. (2013, May 8). Learn to code, code to learn. EdSurge. https://bit.ly/3m3gtlo

Link Google Scholar

Román-González, M. (2015). Test de pensamiento computacional: Principios de diseño, validación de contenido y análisis de ítems Computational Thinking Test: design guidelines, content validation and item analysis [Conference]. EDULEARN15 the 7th International Conference on Education and New Learning Technologies. https://doi.org/10.13140/RG.2.1.3056.5521

Link DOI | Link Google Scholar

Román-González, M. (2016). Código alfabetización y pensamiento computacional en Educación Primaria y Secundaria: validación de un instrumento y evaluación de programas. [Doctoral Dissertion, Universidad Nacional de Educación a Distancia]. UNED e-Spacio. https://bit.ly/32kzhDD

Link Google Scholar

Salkind, N. (2010). Encyclopedia of research design. SAGE. https://doi.org/10.4135/9781412961288.n381

Link DOI | Link Google Scholar

Sullivan, A., & Bers, M.U. (2018). Dancing robots: Integrating art, music, and robotics in Singapore’s early childhood centers. International Journal of Technology and Design Education, 28(2), 325-346. https://doi.org/10.1007/s10798-017-9397-0

Link DOI | Link Google Scholar

Tang, X., Yin, Y., Lin, Q., Hadad, R., & Zhai, X. (2020). Assessing computational thinking: A systematic review of empirical studies. Computers & Education, 148, 1-22. https://doi.org/10.1016/j.compedu.2019.103798

Link DOI | Link Google Scholar

Webb, M., Davis, N., Bell, T., Katz, Y.J., Reynolds, N., Chambers, D.P., & Sys?o, M.M. (2017). Computer science in K-12 school curricula of the 21st century: Why, what and when? Education and Information Technologies, 22, 445-468. https://doi.org/10.1007/s10639-016-9493-x

Link DOI | Link Google Scholar

Wing, J. (2006). Computational thinking. Communications of the ACM, 49(3), 33-36. https://doi.org/10.1145/1118178.1118215

Link DOI | Link Google Scholar

Zapata-Ros, M. (2015). Pensamiento computacional: Una nueva alfabetización digital. Revista de Educación a Distancia, 46 (4). https://doi.org/10.6018/red/46/4

Link DOI | Link Google Scholar

Zhang, L., & Nouri, J. (2019). A systematic review of learning computational thinking through Scratch in K-9. Computers & Education, 141. https://doi.org/10.1016/j.compedu.2019.103607

Link DOI | Link Google Scholar

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Technical information

Recebido: 03-11-2020

Revisado: 15-12-2020

Aceite: 15-02-2021

OnlineFirst: 15-04-2021

Data de publicação: 01-07-2021

Tempo de revisão do artigo: 42 dias | Tempo médio de revisão do número 68: 37 dias

Tempo de aceitação do artigo: 104 dias | Tempo médio de aceitação do número 68: 78 dias

Tempo de edição da pré-impressão: 194 dias | Tempo médio de edição pré-impressão do número 68: 168 dias

Tempo de processamento do artigo: 239 dias | Tempo médio de processamento do número 68: 213 dias

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Torres-Torres, YD; Roman-Gonzalez, M and Perez-Gonzalez, JC. Gender Gaps In The Initiation Of Computer Programming In Secondary education In Spain REVISTA COMPLUTENSE DE EDUCACION, 2022.

https://doi.org/10.5209/rced.76564

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Torres-Torres, Y.-D., Román-González, M., Pérez-González, J.-C.. Gender Gaps In The Initiation Of Computer Programming In Secondary education In Spain ), Revista Complutense de Educacion, .

https://doi.org/10.5209/rced.76564

García-Perales, R., Palomares-Ruiz, A., López-Parra, E., Martín-García, M.I.. Evaluation of Education in mathematical programming in students of 5th year of Primary Education in Spanish Educational Centers), Ensaio, .

https://doi.org/10.1590/S0104-40362023003103748

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Brechas de Género en la iniciación a la Programación Informática en Educación Secundaria en España YD Torres Torres… - Revista …, 2022 - redined.educacion.gob.es

https://redined.educacion.gob.es/xmlui/handle/11162/232108

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Picado-Arce, K., Matarrita-Muñoz, S., Núñez-Sosa, O., & Zúñiga-Céspedes, M. (2021). Drivers for the development of computational thinking in Costa Rican students. [Facilitadores del desarrollo del pensamiento computacional en estudiantes costarricenses]. Comunicar, 68, 85-96. https://doi.org/10.3916/C68-2021-07

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