Computational thinking, an educational strategy in times of pandemic
DOI:
https://doi.org/10.24310/innoeduca.2021.v7i1.10593Keywords:
Computational thinking, digital literacy, digital competence, 21st century education, education and pandemicAbstract
Education has the task of preparing individuals for the challenges, needs and opportunities of a globalized world; now with technology permeating human activities, traditional learning theories without recognizing elements of digital literacy (behaviorism, cognitivism and constructivism). They demand changes of thought and even more so with the presence of COVID-19, a pandemic that promoted social physical isolation; increasing the need to master digital scenarios. The foregoing highlights computational thinking, as an effective strategy applied with the model presented by MIT-Harvard, with a defined theoretical framework and applied since 2012. The objective of the research is to diagnose the level of training of computational thinking skills to solve problems; and establish, from a quantitative study with a non-experimental transectional design, the correlation between: the conceptual, practical and computational perspective dimensions, with the development of computational thinking skills to solve problems, implemented in a public school in Colombia with 133 high school students. The diagnostic instrument, validated and categorized by 32 problems, measures the skills to generate competencies, with similarities to the Colombian educational system that promotes learning with: knowing, knowing how to do and knowing how to be; The above is consolidated as inputs for the generation of a virtual learning ecosystem.
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Acevedo, J. (2016). El pensamiento computacional en la educación obligatoria. Una revisión sistemática de la literatura [Trabajo Fin de Máster]. Universidad de Extremadura, España. http://dehesa.unex.es/bitstream/handle/10662/5356/TFMUEX_2016_Acevedo_Borrega%2C Jesús.pdf?sequence=1&isAllowed=y
Amado-Salvatierra, H. R., Hilera González, J., & Otón Tortosa, S. (2018). Formalización de un marco metodológico para la implementación de un proyecto educativo virtual accesible. Educación XX1, 21(2), 349-371. https://doi.org/10.5944/educxx1.15591
Balladares Burgos, J. A., Avilés Salvador, M. R., & Pérez Narváez, H. O. (2016). Del pensamiento complejo al pensamiento computacional: retos para la educación contemporánea. Sophía, 2(21), 143-159. https://doi.org/10.17163/soph.n21.2016.06
Brennan, K., & Resnick, M. (2012, April 13-17). New frameworks for studying and assessing the development of computational thinking [Conference presentation]. AERA. Annual American Educational Research Association Meeting, Vancouver, BC, Canada, http://scratched.gse.harvard.edu/ct/files/AERA2012.pdf
Caballero-González, Y. A., & García-Valcárcel, A. (2020). ¿Aprender con robótica en Educación Primaria? Un medio de estimular el pensamiento computacional. Education in the Knowledge Society (EKS), 21, e10. https://doi.org/10.14201/eks.22956
Carmen Ricoy, M., Feliz, T., & Luisa Sevillano, M. (2010). Competencias para la utilización de las herramientas digitales en la sociedad de la información. Educacion XX1, 13(1), 199–219. https://doi.org/10.5944/educxx1.13.1.283
Catlin, D., & Woollard, J. (2014, July 18). Educational Robots and Computational Thinking. [Conference presentation]. Proceedings of 4th International Workshop Teaching Robotics, Teaching with Robotics & 5th International Conference Robotics in Education (pp. 144–151). Padova, Italy. http://www.terecop.eu/TRTWR-RIE2014/files/00_WFr1/00_WFr1_18.pdf
Cayo-Rojas, C., & Miranda-Davila, A. (2020). La empatía en la educación médica: una oportunidad después de la crisis por COVID-19. Revista Habanera De Ciencias Médicas, 19, e3319. http://www.revhabanera.sld.cu/index.php/rhab/article/view/3319%0Ahttp://scielo.sld.cu/scielo.php?pid=S1729-519X2008000300003&script=sci_arttext
Cejas Martinez, M. (2005). La educación basada en competencias: una metodología que se impone en la Educación Superior y que busca estrechar la brecha existente entre el sector educativo y el productivo. Butlletins de l’Observatori Bolonia–Universitat Pompeu Fabra, 28.
Compañ-Rosique, P., Satorre-Cueda, R., Llorens-Largo, F., & Molina-Carmona, R. (2015). Enseñando a programar: un camino directo para desarrollar el pensamiento computacional. Revista de Educación a Distancia, 46, 2–15.
Corradini, I., Lodi, M., & Nardelli, E. (2017). Conceptions and misconceptions about computational thinking among Italian primary school teachers. ICER 2017 - Proceedings of the 2017 ACM Conference on International Computing Education Research, 9, 136–144. https://doi.org/10.1145/3105726.3106194
Csizmadia, A., Curzon, P., Dorling, M., Humphreys, S., Ng, T., Selby, C., & Woollard, J. (2015). Computational thinking A guide for teachers. https://community.computingatschool.org.uk/files/8550/original.pdf
Departamento administrativo de la función pública. (2009). Ley 1324 de 2009 - EVA - Función Pública. https://www.funcionpublica.gov.co/eva/gestornormativo/norma.php?i=36838
Departamento administrativo de la función pública. (2010). Decreto 869 de 2010 - EVA - Función Pública. https://www.funcionpublica.gov.co/eva/gestornormativo/norma.php?i=39636
Education, I. S. for T. in. (2016). A Practical Guide for Learning with Technology. https://www.iste.org/standards/for-students
Espino, E., & González, C. (2016). Study about Computational Thinking and Gender. VAEP-RITA, 4, 119–128.
Goldie, J. (2016). Connectivism: A knowledge learning theory for the digital age? Medical Teacher, 38(10), 1064–1069. https://doi.org/10.3109/0142159X.2016.1173661
Gómez Giraldo, L. J. (2014). Competencias mínimas en pensamiento computacional que debe Tener un estudiante aspirante a la media técnica para mejorar su desempeño en la media técnica de las instituciones educativas de la alianza futuro digital Medellín. Universidad EAFIT, (505), 651–652.
Graziani, L., Sanhueza, M., & Cayú, G. (2016). CÓDIMO: desarrollo del pensamiento computacional en las escuelas. https://goo.gl/VNlSXg
Huerta, J., Susana, I., García, P., & Castellanos, R. (2010). Desarrollo curricular por competencias profesionales integrales. Revista Facultad Nacional de Salud Pública 18(2), 129-138.
Jaramillo Naranjo, L. M., & Puga Peña, L. A. (2016). El pensamiento lógico-abstracto como sustento para potenciar los procesos cognitivos en la educación. Sophía, 2(21), 31-55. https://doi.org/10.17163/soph.n21.2016.01
López-Yepes, J. (2019). El desarrollo de habilidades informativas y de creación de nuevo conocimiento: los conceptos de literacidad informativa (alfabetización informacional) y literacidad crítica. https://ibersid.eu/ojs/index.php/ibersid/article/view/4595
McClelland, D. C. (1973). Testing for competence rather than for “intelligence”. The American Psychologist, 28(1), 1–14. https://doi.org/10.1037/h0034092
Ministerio de Educación Nacional. (2006). Documento N° 3. Estándares Básicos de Competencia en Lenguaje, Matemáticas, Ciencias y Ciudadanas. Bogotá.
Rich, P. J., & Langton, M. B. (2016). Computational thinking: Toward a unifying definition. In J.M. Spector, D. Ifenthaler, D.g. Sampson & P. Isaias (Eds.), Competencies in Teaching, Learning and Educational Leadership in the Digital Age: Papers from CELDA 2014 (pp. 229–242). https://doi.org/10.1007/978-3-319-30295-9_14
Román-González, M., Pérez-González, J.-C., & Jiménez-Fernández, C. (2015, Octubre 14-16). Test de Pensamiento Computacional: diseño y psicometría general [Conference presentation]. Congreso Internacional Sobre Aprendizaje, Innovación y Competitividad (CINAIC). Madrid, España. https://doi.org/10.13140/RG.2.1.3056.5521
Román-González, M., Pérez-González, J.-C., & Jiménez-Fernández, C. (2017). Which cognitive abilities underlie computational thinking? Criterion validity of the Computational Thinking Test. Computers in Human Behavior, 72, 678–691. https://doi.org/10.1016/j.chb.2016.08.047
Sánchez Vera, M. del M. (2019). El pensamiento computacional en contextos educativos: una aproximación desde la Tecnología Educativa. Research in Education and Learning Innovation Archives, 0(23), e24. https://doi.org/10.7203/realia.23.15635
Seehorn, D., Carey, S., Fuschetto, B., Lee, I., Moix, D., O ’grady-Cunniff, D., Owens, B.B., Stephenson, C., & Verno, A. (2011). K–12 Computer Science Standards The CSTA Standards Task Force. Association for Computing Machinery, Inc.
Siemens, G., & Leal Fonseca, D. E. (2004). Conectivismo: Una teoría de aprendizaje para la era digital. https://pdfs.semanticscholar.org/05f1/adee187323d66beab226058b23a7416c3517.pdf
Spencer, L. M., & Spencer, S. M. (1993). Competence at work : Models for Superior Performance. Wiley India 6aIJMC&redir_esc=y
Wing, J. (2006). Computational Thinking. Communications of the ACM, 49(3), 33–35. https://doi.org/0001- 0782/06/0300
Zapata-Ros, M. (2015). Pensamiento computacional: Una nueva alfabetización digital. Revista de Educación a Distancia, 46, 1–47.
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