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Assessing Computational Thinking: Development and Validation of the Algorithmic Thinking Test for Adults
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  • Marc Lafuente Martínez,
  • Olivier Lévêque,
  • Isabel Benítez Baena,
  • Cécile Hardebolle,
  • Jessica Dehler Zufferey
Marc Lafuente Martínez
Ecole Polytechnique Fédérale de Lausanne

Corresponding Author:[email protected]

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Olivier Lévêque
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Isabel Benítez Baena
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Cécile Hardebolle
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Jessica Dehler Zufferey
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This study describes the development and validation process of a computational thinking (CT) test for adults. The team designed a set of items and explored a subset of those through a couple of qualitative pilots. Then, in order to provide validity evidence based on the test content, a team of 11 subject-matter experts coded the initial pool of items using two different systems of categories based on CT components and contents. Then the items were piloted on a sample of 289 participants, 137 experts in CT and 152 novices. After a series of confirmatory factor analyses, a unidimensional model that represents algorithmic thinking was adopted. After analyzing the psychometric quality of the 27 items, 20 of them with excellent reliability indices were finally selected for the test. Thus, this study provides a tool to evaluate adults’ CT: the Algorithmic Thinking Test for Adults (ATTA), which was developed according to psychometric standards. This article also reflects on the nature of CT as a construct.
Oct 2022Published in Journal of Educational Computing Research volume 60 issue 6 on pages 1436-1463. 10.1177/07356331211057819