Abstract

CALBUSCH, LEONARDO FELIPE DE ÁVILA; COUTO, NATÁLIA ELLERY RIBEIRO; ROCCA, JULIA ZANETTI  and  RAABE, ANDRÉ LUÍS ALICE. IMPROVEMENT OF THE CT PUZZLE TEST FOR COMPUTATIONAL THINKING ASSESSMENT. Est. Aval. Educ. [online]. 2022, vol.33, e08938.  Epub Jan 16, 2023. ISSN 1984-932X.  https://doi.org/10.18222/eae.v33.8938.

Computational thinking is a problem-solving skill that involves algorithmic thinking, pattern identification, abstraction, and the modularization of problems and their solutions. This subject has been incorporated into school curricula in several countries, including Brazil, but there are few instruments validated to measure it. The present article deals with searches for evidence of the validity of the CT Puzzle Test, a puzzle-based tool to diagnose computational thinking. Convergent validity was verified with another test that already has the evidence of its validity established. The results confirm the convergence between the instruments. In addition, the score calculation for the CT Puzzle Test items was improved and the validity of adopting puzzles as an assessment tool was evidenced.

Keywords : PROBLEM-SOLVING; LEARNING ASSESSMENT; ASSESSMENT INSTRUMENTS; TEST VALIDITY..

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