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Promoting learning motivation through computational thinking
Promoviendo la motivación del aprendizaje por medio del pensamiento computacional
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Promoting learning motivation through computational thinking. (2024). Revista EIA, 21(42), 4212 pp. 1-14. https://doi.org/10.24050/reia.v21i42.1736
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Some subjects are considered to have a high degree of difficulty in students of primary and upper secondary levels. Usually, they are mathematics and physics. Both have become a challenge throughout the planet as the pedagogical demands are becoming increasingly complex in today's society. Prioritizing the theoretical part has always been typical because it improves the ability to generalize and reason new knowledge. However, it hardly contributes to deductive and critical thinking. In addition to this, currently, young people have yet to interest in theoretical subjects. Their attitude needs to be more active, which does not help them want to participate.
In order to promote a change of attitude in the youth of section 31 of the 4th semester of the Ing. Pascual Ortiz Rubio High School of the Michoacana University of San Nicolás de Hidalgo, Mexico, a computational thinking workshop (PC ). The objective was to generate motivation and stimulation of learning. It is known that the PC stimulates the ability to solve problems with its methodology, including creativity, abstraction, reasoning, and critical thinking. For this first workshop, 17 young people participated, whose performance improved throughout the activity, and later, they reduced the time and obtained deductions and automation according to what was planned. At the end of the workshop, the young people were overjoyed, motivated and knew the power of deductive and critical thinking. At this point, the workshop is considered to have met its objective.
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- Arruda, J.R.C. (2003). Un modelo didáctico para enseñanza aprendizaje de la física. Revista Brasileira de Ensino de Física, 25(1), pp.86–104. https://doi.org/10.1590/S0102-47442003000100011.
- Astudillo, G., Bast, S. and Willging, P. (2016). Virtualidad, Educación y Ciencia. Virtualidad, Educación y Ciencia, 7(12), pp.125–142. Available at: https://revistas.unc.edu.ar/index.php/vesc/article/view/14739.
- Barajas, M. (2011). ProActive: Fostering Teachers’ Creativity through Game-Based Learning.
- Borras-Gene, O. (2022). Introducción a la gamificación o ludificación (en educación).
- Cooper, S., Dann, W. and Pausch, R. (2000). Alice: A 3-D Tool for Introductory Programming Concepts. J. Comput. Sci. Coll., 15(5), pp.107–116.
- Duran, D. and Monereo, C. (2012). Entramado. Métodos de aprendizaje cooperativo y colaborativo.
- Gómez-Martín, M.A., Gómez-Martín, P.P. and González-Calero, P.A. (2012). Aprendizaje basado en juegos. Revista ICONO14. Revista Científica de Comunicación y Tecnologías Emergentes, 2(2), p.1. https://doi.org/10.7195/ri14.v2i2.436.
- Kapp, K. (2012). The gamification of learning and instruction: Game-based methods and strategies for training and education. San Francisco, CA: Pfeiffer.
- Lee, L.-K., Cheung, T.-K., Ho, L.-T., Yiu, W.-H. and Wu, N.-I. (2019). Learning Computational Thinking Through Gamification and Collaborative Learning. In: S.K.S. Cheung, L.-K. Lee, I. Simonova, T. Kozel and L.-F. Kwok, eds., Blended Learning: Educational Innovation for Personalized Learning. Springer International Publishing, pp.339–349.
- Lightbot hour. (n.d.).
- Monroy-Carreño, M. and Monroy-Carreño, P. (2019). La gamificación como estrategia para el aprendizaje de Física. Revista de Tecnologías de La Información y Comunicaciones, pp.1–12. https://doi.org/10.35429/JITC.2019.9.3.1.12.
- OECD, E.T. (2021). Computer Science and PISA 2021. Available at: https://oecdedutoday.com/computer-science-and-pisa-2021.
- OECD, E.T. (2022). Innovation PISA 2022. Available at: https://www.oecd.org/pisa/innovation/.
- Ortiz-Colón, A.-M., Jordán, J. and Agredal, M. (2018). Gamificación en educación: una panorámica sobre el estado de la cuestión. Educação e Pesquisa, 44. Available at: scielo.
- Papert, S. (1980). Mindstorms—Children, Computers and Powerful Ideas.
- Perdomo Vargas, I.R. and Rojas Silva, J.A. (2019). La ludificación como herramienta pedagógica: algunas reflexiones desde la psicología. Revista de estudios y experiencias en educación, 18, pp.161–175. Available at: scielocl.
- Quintanal Perez, F. (2016). Gamificación y la Física–Química de Secundaria. Education in the Knowledge Society (EKS), 17(3 SE-Artículos), pp.13–28. https://doi.org/10.14201/eks20161731328.
- Resnick, M., Maloney, J., Monroy-Hernández, A., Rusk, N., Eastmond, E., Brennan, K., Millner, A., Rosenbaum, E., Silver, J., Silverman, B. and Kafai, Y. (2009). Scratch: Programming for All. Commun. ACM, 52(11), pp.60–67. https://doi.org/10.1145/1592761.1592779.
- Rojas, J.F., Morales, M.A., Rangel, A. and Torres, I. (2009). Física computacional: Una propuesta educativa. Revista Mexicana de Fisica E, 55(1), pp.97–111.
- SEP, S. de E.P. (2017). Aprendizajes clave para la educación integral: plan y programas de estudios para la educación básica.
- Trower, J. and Gray, J. (2015). Creating New Languages in Blockly. Proceedings of the 46th ACM Technical Symposium on Computer Science Education - SIGCSE ’15, pp.677–677. https://doi.org/10.1145/2676723.2691916.
- Wing, J.M. (2006). Computational Thinking. Commun. ACM, 49(3), pp.33–35. https://doi.org/10.1145/1118178.1118215.
- Xu, Z. and Zhang, J. (2021). Computational Thinking: A Perspective on Computer Science.
- Zabala-Vargas, S.A., Ardila-Segovia, D.A., García-Mora, L.H. and Benito-Crosetti, B.L. de. (2020). Aprendizaje Basado en Juegos (GBL) aplicado a la enseñanza de la matemática en educación superior. Una revisión sistemática de literatura. Formación universitaria, 13, pp.13–26. Available at: scielocl.
- Zatarain Cabada, R. (2018). Reconocimiento afectivo y gamificación aplicados al aprendizaje de Lógica algorítmica y programación. Revista Electrónica de Investigación Educativa, 20, p.115. https://doi.org/10.24320/redie.2018.20.3.1636.
