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Snapshot of Computational Thinking in Turkey: A Critique of 2019 Bebras Challenge
Volume 21, Issue 3 (2022), pp. 501–522
Filiz Kalelioğlu ORCID icon link to view author Filiz Kalelioğlu details   Dilek Doğan ORCID icon link to view author Dilek Doğan details   Yasemin Gülbahar ORCID icon link to view author Yasemin Gülbahar details  

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https://doi.org/10.15388/infedu.2022.19
Pub. online: 22 September 2022      Type: Article      Open accessOpen Access

Published
22 September 2022

Abstract

This study aims to provide a deeper understanding about the Bebras tasks, which is one of the computational thinking (CT) unplugged activities, in terms of age level, task category, and CT skills. Explanatory sequential mixed method was adopted in the study in order to collect data according to the research questions. The participants of the study were 113,653 school students from different age levels. Anonymous data was collected electronically from the Turkey 2019 Bebras challenge. Factor analysis was employed to reveal the construct validity to determine how accurately the tool measured the abstract psychological characteristics of the participants. In addition, the item discrimination index was calculated to measure how discriminating the items in the challenge were. Qualitative data gathered through the national Bebras workshop was analysed according to content analysis. The findings highlighted some interesting points about the implications of the Bebras Challenge for Turkey, which are discussed in detail. Furthermore, common problems of Bebras tasks are identified and possible suggestions for improvement are listed.

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Open access article under the CC BY license.

Keywords
Bebras Computational thinking Challenge on Informatics Assessment

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