DIY robotics: computational thinking based patterns to improve problem solving
DOI:
https://doi.org/10.17398/1695-288X.17.2.129Keywords:
Computational Thinking, Problem solving, Robotic, Educational Technology, Programming LanguagesAbstract
The objective is to propose a teaching strategy for programming and robotics, to facilitate the acquisition of an effective computational strategy for the resolution of complex problems. For this teaching, a "maker"; approach has been chosen, to facilitate the transfer of knowledge to real contexts. The proposed literature about the cognitive structure of computational thinking has been studied to establish the bases of the study. A course in robotics has been taught, insisting on the cognitive processes of this thinking that are commonly used in problem solving (abstraction, data processing, creation of an algorithm) in each step of the resolution, and encouraging the use of a computational strategy, using the own processes, those not employed in problem solving (decomposition of the problem, automation, parallelism, simulation). To measure it, digital tests have been created based on the multiple-complex-systems approach, used in PISA 2012. The results indicate that computational thinking is applied more easily to the execution of the algorithm than to the representation of the problem. This finding allows us to establish a programming learning process that facilitates the development of computational thinking, focusing first on applying that strategy to the creation of the algorithm and then to the representation of the problem.
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