Computational Concepts and Their Assessment in Preschool Students: An Empirical Study

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Bibliographic Details
Title: Computational Concepts and Their Assessment in Preschool Students: An Empirical Study
Language: English
Authors: Marcos Jiménez (ORCID 0000-0003-4029-6144), María Zapata-Cáceres (ORCID 0000-0002-8817-5889), Marcos Román-González (ORCID 0000-0001-8506-1715), Gregorio Robles (ORCID 0000-0002-1442-6761), Jesús Moreno-León (ORCID 0000-0002-3821-5707), Estefanía Martín-Barroso (ORCID 0000-0001-5652-5592)
Source: Journal of Science Education and Technology. 2024 33(6):998-1020.
Availability: Springer. Available from: Springer Nature. One New York Plaza, Suite 4600, New York, NY 10004. Tel: 800-777-4643; Tel: 212-460-1500; Fax: 212-460-1700; e-mail: customerservice@springernature.com; Web site: https://link.springer.com/
Peer Reviewed: Y
Page Count: 23
Publication Date: 2024
Document Type: Journal Articles
Reports - Research
Descriptors: Computation, Thinking Skills, Student Evaluation, Preschool Children, Problem Solving, Cognitive Tests, Psychometrics, Test Reliability, Test Validity, Scoring, Skill Development
DOI: 10.1007/s10956-024-10142-8
ISSN: 1059-0145
1573-1839
Abstract: Computational thinking (CT) is a multidimensional term that encompasses a wide variety of problem-solving skills related to the field of computer science. Unfortunately, standardized, valid, and reliable methods to assess CT skills in preschool children are lacking, compromising the reliability of the results reported in CT interventions. To surpass this limitation, we validated in a sample of 700 preschool students (5-6 years old) the Beginners Computational Thinking test Short-Form (BCTt-SF), an unplugged 12-item instrument that measures three of the most common computational concepts assessed in preschool research: sequences, loops, and conditionals. The theoretical model underpinning the BCTt-SF was supported by dimensionality assessment, which suggested that preschool students can be distinguished in terms of four specific abilities (i.e., sequences, simple loops, nested loops, and conditionals) and that all of these abilities were related by a general factor. We modeled this hierarchical structure with a bi-factor model that presented excellent psychometric properties, from good statistical fit indices to adequate reliability of the general ability. To take full advantage of this model, we created an online application in the Shiny platform (https://computationalthinkingtests.shinyapps.io/SF-BCTt/) for the seamless scoring of examinees by any teacher or researcher who uses the BCTt-SF to assess CT skills in preschool children. Finally, we demonstrated how the BCTt-SF can be used to test the impact of educational interventions for improving CT skills in preschoolers.
Abstractor: As Provided
Notes: https://osf.io/3xn7a/?view_only=7190e194469f44119aa9174b768a406d
Entry Date: 2024
Accession Number: EJ1446117
Database: ERIC
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Description
Abstract:Computational thinking (CT) is a multidimensional term that encompasses a wide variety of problem-solving skills related to the field of computer science. Unfortunately, standardized, valid, and reliable methods to assess CT skills in preschool children are lacking, compromising the reliability of the results reported in CT interventions. To surpass this limitation, we validated in a sample of 700 preschool students (5-6 years old) the Beginners Computational Thinking test Short-Form (BCTt-SF), an unplugged 12-item instrument that measures three of the most common computational concepts assessed in preschool research: sequences, loops, and conditionals. The theoretical model underpinning the BCTt-SF was supported by dimensionality assessment, which suggested that preschool students can be distinguished in terms of four specific abilities (i.e., sequences, simple loops, nested loops, and conditionals) and that all of these abilities were related by a general factor. We modeled this hierarchical structure with a bi-factor model that presented excellent psychometric properties, from good statistical fit indices to adequate reliability of the general ability. To take full advantage of this model, we created an online application in the Shiny platform (https://computationalthinkingtests.shinyapps.io/SF-BCTt/) for the seamless scoring of examinees by any teacher or researcher who uses the BCTt-SF to assess CT skills in preschool children. Finally, we demonstrated how the BCTt-SF can be used to test the impact of educational interventions for improving CT skills in preschoolers.
ISSN:1059-0145
1573-1839
DOI:10.1007/s10956-024-10142-8