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    Pensamiento Computacional para la formación de maestros: Una revisión sistemática de literatura

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    Date
    2020-07
    Author
    Ramos, Deixy
    Jiménez, Javier
    Muñoz, Armando
    Cruz, Lydia
    Herrera, Edgar
    Muñoz, Mario
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    Abstract
    The incorporation of computational thinking in the classroom has been identified as a fundamental strategy that could spread student participation and have an effective impact on learning. Although there are studies done on this subject, we do not find a systematic dissertation that compiles the fundamental practices of Computational Thinking in teacher training. That is why this article presents a systematic review of literature with the objective of summarizing studies on computational thinking for initial teacher training. Initially the search was conducted in five databases of scientific publications, 100 studies published in the last five years were obtained. After a method of analysis of each of them, verify that they match the requirements of the review, obtaining as a result the compilation of the main experiences and practices reported in the process of Computational Thinking for teachers. In addition, the determined systematic review will determine the associated problems, studies on computational thinking, characteristics, methodologies, teaching-learning strategies and trends. This article is an important starting point for future projects that wish to continue contributing to experiences that benefit both students and teachers in this field of Teaching Computational Thinking.
    URI
    http://dx.doi.org/10.18687/LACCEI2020.1.1.135
    http://axces.info/handle/10.18687/20200101_135
    URI Others
    http://laccei.org/LACCEI2020-VirtualEdition/meta/FP135.html
    Copyright
    https://laccei.org/blog/copyright-laccei-papers/
    Track
    Technology for Teaching and Learning, E-learning, Distance Education, and Online Laboratories
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