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Assessing Computational Thinking: Development and Validation of the Algorithmic Thinking Test for Adults
preprint
posted on 2021-10-04, 22:11 authored by Marc Lafuente MartínezMarc Lafuente Martínez, Olivier Lévêque, Isabel Benítez Baena, Cécile Hardebolle, Jessica Dehler ZuffereyThis
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.
Funding
EPFL-LEARN funds
History
Declaration of conflicts of interest
The authors declare no conflicts of interestCorresponding author email
marc.lafuentem@gmail.comLead author country
- Switzerland
Lead author job role
- Higher Education Researcher
Lead author institution
Ecole Polytechnique Fédérale de LausanneHuman Participants
- Yes