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Preprints are early versions of research articles that have not been peer reviewed. They should not be regarded as conclusive and should not be reported in news media as established information.
Assessing Computational Thinking: Development and Validation of the Algorithmic Thinking Test for Adults
preprintposted on 2021-10-04, 22:11 authored by Marc Lafuente MartínezMarc Lafuente Martínez, Olivier Lévêque, Isabel Benítez Baena, Cécile Hardebolle, Jessica Dehler Zufferey
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.
Declaration of conflicts of interestThe authors declare no conflicts of interest
Corresponding author email@example.com
Lead author country
Lead author job role
- Higher Education Researcher
Lead author institutionEcole Polytechnique Fédérale de Lausanne
Ethics statementWe certify that all subjects involved in this study gave their consent to participate in it and that this study was approved by the Human Research Ethics Committee at Ecole Polytechnique Fédérale de Lausanne (HREC No: 045-2020).
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