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How to Improve Computational Thinking: a Case Study

    1. [1] Instituto Politécnico da Guarda

      Instituto Politécnico da Guarda

      Guarda (Sé), Portugal

  • Localización: Education in the knowledge society (EKS), ISSN 1138-9737, ISSN-e 2444-8729, Vol. 18, Nº. 4, 2017, págs. 35-51
  • Idioma: inglés
  • DOI: 10.14201/eks20171843551
  • Títulos paralelos:
    • Cómo mejorar el pensamiento computacional: un estudio de caso
  • Enlaces
  • Resumen
    • español

      Una de las mejores habilidades para todos, por ahora y para el futuro, es la resolución de problemas. El pensamiento computacional es la manera de ayudarnos a desarrollar esa habilidad. El pensamiento computacional se puede definir como un conjunto de habilidades para la resolución de problemas basadas en técnicas informáticas. El pensamiento computacional es necesario en todas partes y será la clave del éxito en casi todas las carreras, no solo para un científico, sino también para muchos profesionales, como médicos, abogados, docentes o agricultores. Para muchos problemas, es una buena idea hacer un plan para su resolución utilizando algunas de las técnicas de la informática, tales como: descomponer un problema complejo en partes más pequeñas que sean más manejables y fáciles de entender, o resolver—descomposición; buscando similitudes entre y dentro de problemas y otras experiencias—reconocimiento de patrones; centrándose solamente en la información importante y eliminando las diferencias específicas para que una solución funcione para múltiples problemas: abstracción; desarrollando una solución paso a paso al problema: algoritmos. Este plan puede ser utilizado por todos, independientemente de su área de conocimiento, tarea o edad. Es esencial que estas técnicas se practiquen y desarrollen muy temprano. Los proyectos de masificación del pensamiento computacional y la codificación están comenzando a implementarse en nuestro sistema educativo en Portugal. La mayoría de los estudiantes del primer año del curso de Ingeniería Informática, del IPG, en su mayoría no tuvieron la oportunidad de desarrollar el pensamiento computacional a lo largo de su vida estudiantil. En este artículo, presentamos los resultados de un estudio de caso usando instrucciones “da y sigue” para mejorar sus capacidades en el pensamiento computacional.

    • English

      One of the best skills for everyone, for now, and for the future, is problem-solving. Computational thinking is the way to help us to develop that skill. Computational Thinking can be defined as a set of skills for problemsolving based on computer techniques. Computational thinking is needed everywhere and is going to be a key to success in almost all careers, not only for a scientist but for many professionals, like doctors, lawyers, teachers or farmers. For many problems it is a good idea to make a plan for its resolution using some of the techniques of computer science, such as: breaking down a complex problem into smaller parts that are more manageable and easier to understand, or solve—decomposition; looking for similarities among and within problems and others experiences—pattern recognition; focusing on the important information only, and pulling out specific differences to make one solution work for multiple problems: abstraction; developing a step-by-step solution to the problem: algorithms. This plan can be used by everyone, regardless of their area of knowledge, task or age. It is essential that these techniques are practiced and developed very early. In recent years we have to see the proliferation of numerous projects with the specific objective of encouraging the study of Computational thinking. The projects of massification of computational thinking and coding are now starting to be implemented in our education system in Portugal. Most students of the first year of the Computer Engineering course, from the IPG, mostly did not have the opportunity to develop computational thinking throughout their student life. In this paper, we present the results of a case study using follow and give instructions to improve their capacities in Computational Thinking..

  • Referencias bibliográficas
    • Alice – Tell Stories. Build Games. Learn to Program. (n.d.). Retrieved July 5, 2017, from http://www.alice.org/
    • App Inventor for Educators – MIT App Inventor Educators Community. (n.d.). Retrieved July 6, 2017, from http://teach.appinventor.mit.edu/
    • Blockly | Google Developers. (n.d.). Retrieved July 6, 2017, from https://developers.google.com/blockly/
    • CodeCombat - Learn how to code by playing a game. (n.d.). Retrieved July 5, 2017, from https://codecombat.com/
    • Coding for Kids | Tynker. (n.d.). Retrieved July 5, 2017, from https://www.tynker.com/Computer Science Education Week. (n.d.). Retrieved July...
    • Computer Science Unplugged. (n.d.). Retrieved July 5, 2017, from http://csunplugged.org/Computing At School. (n.d.). Retrieved July 6, 2017,...
    • Cooper, S., Wang, K., Israni, M. & Sorby, S. (2015). Spatial Skills Training in Introductory Computing. Proceedings of the Eleventh Annual...
    • Cubetto: A robot teaching kids code & computer programming. (n.d.). Retrieved August 6, 2017, from https://www.primotoys.com/
    • Denny, P., Luxton-Reilly, A. & Simon, B. (2008). Evaluating a new exam question: Parsons problems. Proceedings of the Fourth International...
    • Ericson, B. J. (2014). Adaptive Parsons Problems with Discourse Rules. Icer ’14, 145-146. http://doi.org/10.1145/2632320.2632324
    • Falomir, Z. (2016). Towards A Qualitative Descriptor for Paper Folding Reasonin. In Proc. of the 29th International Workshop on Qualitative...
    • Figueiredo, J., Gomes, N. & García-Peñalvo, F. J. (2016). Ne-course for learning programming. In Proceedings of the Fourth International...
    • Fincher, S., Baker, B., Box, I., Cutts, Q., Raadt, M. De, Haden, P., … Tutty, J. (2005). Computer Science at Kent programming courses, (1).
    • García-Peñalvo, F. J. (2016a). A brief introduction to TACCLE 3 – Coding European Project. In F. J. García-Peñalvo & J. A. Mendes (Eds.),...
    • García-Peñalvo, F. J. (2016b). Proyecto TACCLE3 – Coding. In F. J. García-Peñalvo & J. A. Mendes (Eds.), XVIII Simposio Internacional...
    • García-Peñalvo, F. J. (2016c). What Computational Thinking Is. Journal of Information Technology Research, 9(3), v-viii.
    • García-Peñalvo, F. J. & Cruz-Benito, J. (2016). Computational thinking in pre-university education. In Proceedings of the Fourth International...
    • García-Peñalvo, F. J., Hughes, J., Rees, A., Jormanainen, I., Toivonen, T., Reimann, D., . . . Virnes, M. (2016). Evaluation of existing resources...
    • García-Peñalvo, F. J., Llorens Largo, F., Molero Prieto, X. & Vendrell Vidal, E. (2017). Educación en Informática sub 18 (EI<18). ReVisión,...
    • García-Peñalvo, F. J., Reimann, D., Tuul, M., Rees, A. & Jormanainen, I. (2016). An overview of the most relevant literature on coding...
    • Greenfoot | About Greenfoot. (n.d.). Retrieved July 7, 2017, from https://www.greenfoot.org/overview
    • Home - Barefoot Computing Barefoot Computing. (n.d.). Retrieved July 5, 2017, from https://barefootcas.org.uk/
    • Israel, M., Wherfel, Q. M., Pearson, J., Shehab, S. & Tapia, T. (2015). Empowering K-12 Students with Disabilities to Learn Computational...
    • Jaeger, A. J., Wiley, J., Pellegrino, J., Zinsser, K., Stieff, M. & Moher, T. (2015). What Does the Punched Holes Task Measure?
    • Khan Academy | Free Online Courses, Lessons & Practice. (n.d.). Retrieved July 5, 2017, from https://www.khanacademy.org/
    • Lightbot. (n.d.). Retrieved July 5, 2017, from https://lightbot.com/flash.html
    • LiveCode Ltd. (n.d.). LiveCode in Education | LiveCode. Retrieved July 6, 2017, from https://livecode.com/products/livecode-platform/livecode-in-education/
    • Llorens Largo, F., García-Peñalvo, F. J., Molero Prieto, X. & Vendrell Vidal, E. (2017). La enseñanza de la informática, la programación...
    • Microsoft Touch Develop - create apps everywhere, on all your devices! (n.d.). Retrieved July 6, 2017, from https://www.touchdevelop.com/
    • MIT App Inventor. (n.d.). Retrieved July 5, 2017, from http://ai2.appinventor.mit.edu/
    • Morrison, B. B., Margulieux, L. E., Ericson, B. & Guzdial, M. (2016). Subgoals Help Students Solve Parsons Problems. Proceedings of the...
    • Mselle, L. J. & Twaakyondo, H. (2012). The impact of Memory Transfer Language (MTL) on reducing misconceptions in teaching programming...
    • National Research Council. (2012). A Framework for K-12 Science Education. Practices, Crosscutting Concepts, and Core Ideas. Washington, D.C.:...
    • Nestojko, J. F., Bui, D. C., Kornell, N. & Bjork, E. L. (2014). Expecting to teach enhances learning and organization of knowledge in...
    • Pinto-Llorente, A. M., Casillas-Martín, S., Cabezas-González, M. & García-Peñalvo, F. J. (2017). Building, coding and programming 3D models...
    • Programming for Kids | Kodable. (n.d.). Retrieved July 5, 2017, from https://www.kodable.com/
    • Scratch - Imagine, Program, Share. (n.d.). Retrieved July 5, 2017, from https://scratch.mit.edu/
    • Simon, Fincher, S., Robins, A., Baker, B., Box, I., Cutts, Q., … Tutty, J. (2006). Predictors of success in a first programming course. Proceedings...
    • Snap! (Build Your Own Blocks) 4.0. (n.d.). Retrieved July 10, 2017, from http://snap.berkeley.edu/index.html
    • STEM. (n.d.). Retrieved July 6, 2017, from https://www.stem.org.uk/
    • Study, N. E. (2012). An Overview of Tests of Cognitive Spatial Ability. 66th EDGD Mid-Year Conference Proceedings. Retrieved from https://goo.gl/YwnYrv
    • Taccle 3 – Supporting primary teachers to teach coding. (n.d.). Retrieved July 5, 2017, from http://www.taccle3.eu/en/
    • techliteracy. (n.d.). Retrieved July 6, 2017, from https://techliteracy.co.uk/
    • Wing, J. M. (2006). Computational thinking. Communications of the ACM, 49(3), 33-35. http://doi.org/10.1145/1118178.1118215

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