Preliminary analysis of the 2020 BREBAS challenge results in Uruguay
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Abstract
Technology is present in most human activities, both in the social, labor and educational fields. In the educational field, Computational Thinking has started to gain strength, a concept that should become a new competence to be developed in the classroom. In this sense, Plan Ceibal has been working since 2017 to bring Computational Thinking to the classrooms, thus boosting learning proper to science, technology, engineering and mathematics and in 2020 participated for the first time in the Bebras Challenge, the objective of the challenge is to disseminate and promote Computational Thinking in schools and measures the dimensions proper to Computational Thinking (finding patterns, sequencing algorithms, abstraction and evaluation). Taking this into account the general objective of this research is to describe the results of the Bebras 2020 International Challenge obtained in the Uruguay edition, from this general objective the following specific objectives are derived: to analyze the scores by dimension. To examine the relationships between the dimensions evaluated in the Bebras Challenge. And, to study the difference in scores by sociocultural level, gender and place of origin (urban/rural). To achieve the objectives, 2,759 student responses to the Bebras Uruguay 2020 challenge were used, performing descriptive, bivariate and multivariate analyses. The main results showed that: a) There are easy (Patterns) and difficult (Evaluation) dimensions. b) The greatest differences in performance are found by sociocultural quintiles, with quintile 5 having the highest scores and quintile 1 having the lowest. c) Although there are differences by sex and location, these do not show a large effect size. These results support the idea that boys perform better than girls on some specific Computational Thinking tasks and further support the need for further research in the assessment of Computational Thinking to obtain reliable measurement instruments.
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