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Can computational talent be detected? Predictive validity of the Computational Thinking Test

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dc.contributor.authorRomán González, Marcos
dc.contributor.authorPérez González, Juan Carlos
dc.contributor.authorMoreno-León, Jesús
dc.contributor.authorRobles, Gregorio
dc.date.accessioned2025-02-03T08:45:05Z
dc.date.available2025-02-03T08:45:05Z
dc.date.issued2018-11
dc.descriptionThe registered version of this article, first published in International Journal of Child-Computer Interaction is available online at the publisher's website: Elsevier, https://doi.org/10.1016/j.ijcci.2018.06.004
dc.descriptionLa versión registrada de este artículo, publicado por primera vez en International Journal of Child-Computer Interaction, está disponible en línea en el sitio web del editor: Elsevier, https://doi.org/10.1016/j.ijcci.2018.06.004
dc.description.abstractComputational thinking (CT) is arising as a set of problem-solving skills that must be acquired by the new generations of students to fully understand and participate in our computer-based world. However, from a psychometric approach, we are still at an early stage regarding the definition and assessment of CT as a psychological variable. One way to advance in this area is to investigate whether ‘computationally talented’ students (i.e., ‘computational top thinkers’) can be detected even before learning to code; and, if so, how to teach them properly to fully develop their high-computational ability. This paper presents several empirical concatenated studies about the predictive validity of the Computational Thinking Test (CTt), which is administered on a sample of 314 middle school Spanish students (n = 314). We report the predictive validity of the CTt, conducted at the beginning of the quarter, with respect to academic performance (Informatics, Mathematics, and Language) and learning analytics in a Code.org course collected at the end of the quarter. We also analyze the predictive validity of the CTt to early distinguish between ‘computational regular thinkers’ and ‘computational top thinkers’ (i.e., those who spontaneously accelerated from the ‘block-based’ programming environment of Code.org to the ‘text-based’ one of Khan Academy). Finally, we perform a case study over two of the students categorized as ‘computational top thinkers’, in which one of their coding products written in Processing JavaScript is described. Our results demonstrate that ‘computationally talented’ students can be detected in middle school, and that these subjects have the ability to accelerate in the Computer Science Education standards between 1 and 2 years compared to the regular learners. This could have major implications on the emerging computing curricula, which should take into account these individual differences in computational ability and ‘learning-how-to-code’ speed to ensure an appropriate progression for every student.en
dc.description.versionversión publicada
dc.identifier.citationMarcos Román-González, Juan-Carlos Pérez-González, Jesús Moreno-León, Gregorio Robles, Can computational talent be detected? Predictive validity of the Computational Thinking Test, International Journal of Child-Computer Interaction, Volume 18, 2018, Pages 47-58, https://doi.org/10.1016/j.ijcci.2018.06.004
dc.identifier.doihttps://doi.org/10.1016/j.ijcci.2018.06.004
dc.identifier.issn2212-8689
dc.identifier.urihttps://hdl.handle.net/20.500.14468/25780
dc.journal.titleInternational Journal of Child-Computer Interaction
dc.journal.volume18
dc.language.isoen
dc.page.final58
dc.page.initial47
dc.publisherElsevier
dc.relation.centerFacultades y escuelas::Facultad de Educación
dc.relation.departmentMétodos de Investigación y Diagnóstico en Educación II (Orientación Educativa, Diagnóstico e Intervención Psicopedagógica)
dc.rightsinfo:eu-repo/semantics/openAccess
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/deed.es
dc.subject58 Pedagogía
dc.subject.keywordsComputational thinkingen
dc.subject.keywordsComputational thinking testen
dc.subject.keywordsComputational talenten
dc.subject.keywordsCognitive assessmenten
dc.subject.keywordsPredictive validityen
dc.titleCan computational talent be detected? Predictive validity of the Computational Thinking Testen
dc.typeartículoes
dc.typejournal articleen
dspace.entity.typePublication
relation.isAuthorOfPublicationf326c028-97b6-4d2b-bfdf-25491ee66c8a
relation.isAuthorOfPublication4e68c35a-c79e-44cd-8efb-99bec46ae2e8
relation.isAuthorOfPublication.latestForDiscoveryf326c028-97b6-4d2b-bfdf-25491ee66c8a
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